# COMPSCI/ECE/ME 532: Matrix Methods in Machine Learning | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_ECE_ME_532) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07 ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T19:50:42.743001+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id 06e90e15f2f35ee3a330720fcaab1064ac38858d06671344e1169f4f4a687736 ### course id COMPSCI/ECE/ME 532 ### course uid course\_b588d52f82ec62f25a4f2ece ### catalog version id a3a0b2ca6e686a17b1cf219d212283565bf5b35c563fcda12a1ad088b1222972 ### course number 532 ### subjects * COMPSCI * ECE * ME ### title MATRIX METHODS IN MACHINE LEARNING ### description Linear algebraic foundations of machine learning featuring real-world applications of matrix methods from classification and clustering to denoising and data analysis. Mathematical topics include: linear equations, regression, regularization, the singular value decomposition, and iterative algorithms. Machine learning topics include: the lasso, support vector machines, kernel methods, clustering, dictionary learning, neural networks, and deep learning. Previous exposure to numerical computing (e.g. Matlab, Python, Julia, R) required. ### requirements text (MATH 234,320,340,341, or375) and (E C E 203,COMP SCI 200,220,300, 301, 302,310,320, or placement intoCOMP SCI 300), graduate/professional standing, or declared in Capstone Certificate in Computer Sciences for Professionals ### credits min 3 ### credits max 3 ### credit offering ids * 1272:266:006414 * 1272:320:006414 * 1272:612:006414 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 869b815a64f5fa147d6a326ee369cf280e6e882e3dbf860f713ae190229acffb ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MATRIX METHODS IN MACHINE LEARNING covers linear algebraic foundations and matrix methods for machine learning applications like classification, clustering, and data analysis. ### llm topics * Linear equations, regression, regularization, singular value decomposition, iterative algorithms. * Lasso, support vector machines, kernel methods, clustering, dictionary learning, neural networks, deep learning. ### llm skills * Applying matrix methods to machine learning problems. * Solving linear equations, regression, regularization, SVD, and iterative algorithms. * Implementing lasso, SVMs, kernel methods, clustering, dictionary learning, neural networks, and deep learning. ### llm assumed background * Exposure to numerical computing tools like Matlab, Python, Julia, or R. * Background in multivariable calculus, linear algebra, or probability. * Background in signals, programming, or data science. ### llm search phrases * matrix methods machine learning * linear algebra machine learning applications * COMPSCI 532 prerequisites * singular value decomposition machine learning * lasso support vector machines course ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash fff4218558a41f9d0e02a6644507db4ff5026d7daf876776848df1ef0df0529b #### course id COMPSCI/ECE/ME 532 #### current instructors ```json [ { "instructor_uid": "instructor_f85b9ff343f5be26654f10d9", "message": null, "name": "Grigoris Chrysos", "review_status": "supported", "rmp_instructor_id": "rmp:2984236", "summary": [ { "citations": [ { "instructor_name": "Grigoris Chrysos", "review_date": "2025-11-06 16:19:35 +0000 UTC", "review_id": "c240cef29f55def1fe491780", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQxODE1NTQx", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-11-11 22:28:07 +0000 UTC", "review_id": "7d3fff0bdbdb4f0e25a92b9f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQxODQ1MTIx", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-11-16 18:22:37 +0000 UTC", "review_id": "fa5ab2aa16c990869b6fd3d6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQxODc2NjM1", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-11-19 20:10:00 +0000 UTC", "review_id": "a0b12eba7abc2eb79a9d0819", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQxOTA1Nzcy", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-12-03 16:28:54 +0000 UTC", "review_id": "c93d27f83c1546a11bb63b75", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQyMDEyMTI4", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-12-11 22:23:42 +0000 UTC", "review_id": "bb56425aff2f844459ef2632", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQyMTg5Mzgy", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-12-12 07:55:12 +0000 UTC", "review_id": "f236393d07693e36161765b0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQyMjAzNjM1", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-12-17 12:49:50 +0000 UTC", "review_id": "12281ee3e2d8f8ff83712ba6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQyMzA3Mjky", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" } ], "text": "Grigoris Chrysos receives uniformly negative reviews for poor organization and unclear instruction. Students report that lectures rely on unrelated videos and slide reading, while exams are excessively difficult with complex proofs. Grading criteria are opaque, and the workload is described as overwhelming and poorly structured." }, { "citations": [ { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2024: 3.46 GPA, 70.8% A/AB (n=48 letter grades); Fall 2025: 3.32 GPA, 68.9% A/AB (n=74 letter grades)." } ] } ] ``` #### difficulty workload Reviewers describe the workload as excessive, with heavy weekly homework and four exams. The course is considered difficult, featuring hard proofs and exams that are hard to finish. ```json { "citations": [ { "instructor_name": "Grigoris Chrysos", "review_date": "2025-11-16 18:22:37 +0000 UTC", "review_id": "fa5ab2aa16c990869b6fd3d6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQxODc2NjM1", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-12-12 07:55:12 +0000 UTC", "review_id": "f236393d07693e36161765b0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQyMjAzNjM1", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-12-17 12:49:50 +0000 UTC", "review_id": "12281ee3e2d8f8ff83712ba6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQyMzA3Mjky", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" } ] } ``` #### errors None recorded. #### historical context Grigoris Chrysos is the current instructor, though no specific reviews are provided for his teaching. Historical reviews for other instructors highlight a course with significant workload and challenging exams. Students report mixed experiences, ranging from supportive environments to confusing explanations and frustrating grading practices. ```json { "citations": [ { "instructor_name": "Kangwook Lee", "review_date": "2019-11-10 23:56:45 +0000 UTC", "review_id": "1f5f13dd14a70a3748c18e83", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2517429", "source_review_id": "UmF0aW5nLTMyMzg5ODY5", "source_url": "https://www.ratemyprofessors.com/professor/2517429", "type": "review" }, { "instructor_name": "Yu Hen Hu", "review_date": "2020-04-14 03:27:28 +0000 UTC", "review_id": "bb6c4dd06805cd57adf253cf", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1202050", "source_review_id": "UmF0aW5nLTMzMDU2NjE3", "source_url": "https://www.ratemyprofessors.com/professor/1202050", "type": "review" }, { "instructor_name": "Matthew Malloy", "review_date": "2021-03-27 14:19:14 +0000 UTC", "review_id": "d6d5d7191ea538cc52f9a2a4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2651942", "source_review_id": "UmF0aW5nLTM0NDc5OTEx", "source_url": "https://www.ratemyprofessors.com/professor/2651942", "type": "review" }, { "instructor_name": "Robert Nowak", "review_date": "2022-12-25 19:08:50 +0000 UTC", "review_id": "db59fb1035cf3fa83e8ee6a5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:329243", "source_review_id": "UmF0aW5nLTM3MjQyNDIw", "source_url": "https://www.ratemyprofessors.com/professor/329243", "type": "review" }, { "instructor_name": "Eduardo Arvelo", "review_date": "2023-12-14 02:07:00 +0000 UTC", "review_id": "82358081b410fe3f8d2850a0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2610349", "source_review_id": "UmF0aW5nLTM4NjYxODE3", "source_url": "https://www.ratemyprofessors.com/professor/2610349", "type": "review" }, { "instructor_name": "Yu Hen Hu", "review_date": "2023-12-18 22:40:29 +0000 UTC", "review_id": "fdba63dd4cd9e3fb7dc60536", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1202050", "source_review_id": "UmF0aW5nLTM4NzMyNzU1", "source_url": "https://www.ratemyprofessors.com/professor/1202050", "type": "review" }, { "instructor_name": "Kangwook Lee", "review_date": "2024-11-25 21:31:41 +0000 UTC", "review_id": "ebe2915ec163acac96ae70b6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2517429", "source_review_id": "UmF0aW5nLTQwMDEyMDQ3", "source_url": "https://www.ratemyprofessors.com/professor/2517429", "type": "review" }, { "instructor_name": "Ramya Vinayak", "review_date": "2025-02-08 18:08:03 +0000 UTC", "review_id": "3b2ee0839cd8ba1931d032b9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2626459", "source_review_id": "UmF0aW5nLTQwNjUzMDY5", "source_url": "https://www.ratemyprofessors.com/professor/2626459", "type": "review" }, { "instructor_name": "Matthew Malloy", "review_date": "2025-03-09 13:18:48 +0000 UTC", "review_id": "cda1d5ad78e8477882ca665d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2651942", "source_review_id": "UmF0aW5nLTQwNzUwOTc3", "source_url": "https://www.ratemyprofessors.com/professor/2651942", "type": "review" }, { "instructor_name": "Ramya Vinayak", "review_date": "2025-05-14 05:37:35 +0000 UTC", "review_id": "4576156fa85ceacbe6b01c22", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2626459", "source_review_id": "UmF0aW5nLTQxMjc3MzY2", "source_url": "https://www.ratemyprofessors.com/professor/2626459", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Grigoris Chrysos receives uniformly negative reviews for poor organization, unclear grading, and excessive difficulty. Students report the course feels disorganized and overly demanding. ```json { "citations": [ { "instructor_name": "Grigoris Chrysos", "review_date": "2025-11-06 16:19:35 +0000 UTC", "review_id": "c240cef29f55def1fe491780", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQxODE1NTQx", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-11-11 22:28:07 +0000 UTC", "review_id": "7d3fff0bdbdb4f0e25a92b9f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQxODQ1MTIx", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-11-16 18:22:37 +0000 UTC", "review_id": "fa5ab2aa16c990869b6fd3d6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQxODc2NjM1", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-11-19 20:10:00 +0000 UTC", "review_id": "a0b12eba7abc2eb79a9d0819", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQxOTA1Nzcy", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-12-03 16:28:54 +0000 UTC", "review_id": "c93d27f83c1546a11bb63b75", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQyMDEyMTI4", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-12-11 22:23:42 +0000 UTC", "review_id": "bb56425aff2f844459ef2632", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQyMTg5Mzgy", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-12-12 07:55:12 +0000 UTC", "review_id": "f236393d07693e36161765b0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQyMjAzNjM1", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-12-17 12:49:50 +0000 UTC", "review_id": "12281ee3e2d8f8ff83712ba6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQyMzA3Mjky", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.06 GPA, 36.1% A/AB (n=108 letter grades); Fall 2025: 3.43 GPA, 70.5% A/AB (n=207 letter grades); Spring 2026: 3.34 GPA, 65.8% A/AB (n=149 letter grades). ```json { "citations": [ { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Students find the teaching approach frustrating, citing reliance on YouTube videos and unclear lecture content. Grading criteria are reported as opaque, with grades withheld until the semester ends. ```json { "citations": [ { "instructor_name": "Grigoris Chrysos", "review_date": "2025-11-06 16:19:35 +0000 UTC", "review_id": "c240cef29f55def1fe491780", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQxODE1NTQx", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-11-16 18:22:37 +0000 UTC", "review_id": "fa5ab2aa16c990869b6fd3d6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQxODc2NjM1", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-12-03 16:28:54 +0000 UTC", "review_id": "c93d27f83c1546a11bb63b75", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQyMDEyMTI4", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-12-17 12:49:50 +0000 UTC", "review_id": "12281ee3e2d8f8ff83712ba6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQyMzA3Mjky", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history EDUARDO ROMERO ARVELO is recorded teaching in Fall 2021, Fall 2023, Spring 2024, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` GRIGORIS CHRYSOS is recorded teaching in Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` MATTHEW MALLOY is recorded teaching in Fall 2019, Spring 2020, Spring 2022. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" } ] } ``` RAMYA KORLAKAI VINAYAK is recorded teaching in Fall 2020, Spring 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" } ] } ``` ROBERT NOWAK is recorded teaching in Fall 2014, Fall 2015, Fall 2020, Fall 2021, Fall 2022, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` YU HU is recorded teaching in Spring 2020, Fall 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 532", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "source_record": { "entity_id": "d22643fc-796e-39f7-b078-2d62de0cf51d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "(MATH 234,320,340,341, or375) and (E C E 203,COMP SCI 200,220,300, 301, 302,310,320, or placement intoCOMP SCI 300), graduate/professional standing, or declared in Capstone Certificate in Computer Sciences for Professionals", "id": "n0", "kind": "any" }, { "children": [ "n4", "n5" ], "condition": null, "course": null, "evidence": "(MATH 234,320,340,341, or375) and (E C E 203,COMP SCI 200,220,300, 301, 302,310,320, or placement intoCOMP SCI 300)", "id": "n1", "kind": "all" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n2", "kind": "condition" }, { "children": [], "condition": "declared in Capstone Certificate in Computer Sciences for Professionals", "course": null, "evidence": "declared in Capstone Certificate in Computer Sciences for Professionals", "id": "n3", "kind": "condition" }, { "children": [ "n6", "n7", "n8", "n9", "n10" ], "condition": null, "course": null, "evidence": "MATH 234,320,340,341, or375", "id": "n4", "kind": "any" }, { "children": [ "n11", "n12", "n13", "n14", "n15", "n16", "n17", "n18", "n19" ], "condition": null, "course": null, "evidence": "E C E 203,COMP SCI 200,220,300, 301, 302,310,320, or placement intoCOMP SCI 300", "id": "n5", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 234, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 234", "id": "n6", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 320, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "320", "id": "n7", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 340, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "340", "id": "n8", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 341, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "341", "id": "n9", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 375, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "375", "id": "n10", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 203, "minimum_grade": null, "subjects": [ "ECE" ], "timing": "prior" }, "evidence": "E C E 203", "id": "n11", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 200, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "COMP SCI 200", "id": "n12", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 220, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "220", "id": "n13", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "300", "id": "n14", "kind": "course" }, { "children": [], "condition": "301", "course": null, "evidence": "301", "id": "n15", "kind": "condition" }, { "children": [], "condition": "302", "course": null, "evidence": "302", "id": "n16", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 310, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "310", "id": "n17", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 320, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "320", "id": "n18", "kind": "course" }, { "children": [], "condition": "placement intoCOMP SCI 300", "course": null, "evidence": "placement intoCOMP SCI 300", "id": "n19", "kind": "condition" } ] ``` #### notes * MATH 320 and COMPSCI 320 are distinct courses with the same number but different subjects. * COMPSCI 301 and 302 are mentioned in requirements but not provided in source links. * References 301 and 302 lack subject prefixes in the source text; treated as verbatim conditions. #### root n0 #### status needs\_review ### instructors ```json [ { "instructor_uid": "instructor_f85b9ff343f5be26654f10d9", "source": "enrollment", "source_instructor_id": "chrysos", "identity_basis": "netid", "identity_status": "source_identified", "name": "Grigoris Chrysos", "email": "CHRYSOS@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 25, "quality": 1.24, "difficulty": 4.8, "quality_count": 25, "difficulty_count": 25, "profile_id": "rmp:2984236", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "match_basis": "exact_name", "observed_at": "2026-09-07 16:37:55.522895+00:00", "courses": { "course_b588d52f82ec62f25a4f2ece": { "review_count": 8, "quality": 1, "difficulty": 5, "quality_count": 8, "difficulty_count": 8 }, "course_a7ce5ee394c07ac642067916": { "review_count": 2, "quality": 2.5, "difficulty": 4.5, "quality_count": 2, "difficulty_count": 2 }, "course_2dc691819ab3968d0478921d": { "review_count": 15, "quality": 1.2, "difficulty": 4.73, "quality_count": 15, "difficulty_count": 15 } }, "bayesian_quality": 2.315415903798487, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/GRIGORIS_CHRYSOS" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:266:006414", "course_id": "COMPSCI/ECE/ME 532", "course_uid": "course_b588d52f82ec62f25a4f2ece", "term_id": "1272", "source_course_id": "006414", "source_subject_id": "266", "title": "Matrix Methods in Machine Learning", "credits_min": 3, "credits_max": 3, "typically_offered": "Spring" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:320:006414", "course_id": "COMPSCI/ECE/ME 532", "course_uid": "course_b588d52f82ec62f25a4f2ece", "term_id": "1272", "source_course_id": "006414", "source_subject_id": "320", "title": "Matrix Methods in Machine Learning", "credits_min": 3, "credits_max": 3, "typically_offered": "Spring" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:612:006414", "course_id": "COMPSCI/ECE/ME 532", "course_uid": "course_b588d52f82ec62f25a4f2ece", "term_id": "1272", "source_course_id": "006414", "source_subject_id": "612", "title": "Matrix Methods in Machine Learning", "credits_min": 3, "credits_max": 3, "typically_offered": "Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:21782", "term_id": "1272", "source_section_id": "21782", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 130, "enrolled": 78, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:21781", "term_id": "1272", "source_section_id": "21781", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 130, "enrolled": 15, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:21783", "term_id": "1272", "source_section_id": "21783", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 130, "enrolled": 4, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_49ad2008bae9eaafa29e17ca", "source": "madgrades", "source_instructor_id": "106073", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BILL SETHARES", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.621, "graded": 1733, "counts": [ 1044, 361, 205, 46, 48, 10, 19 ], "sections": 147 }, "instructor_url": "/instructors/BILL_SETHARES--instructor_49ad2008bae9eaafa29e17ca" }, { "instructor_uid": "instructor_a0635de9e0867a015d9ba90e", "source": "madgrades", "source_instructor_id": "669258", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ROBERT NOWAK", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 21, "quality": 2.9, "difficulty": 4.48, "quality_count": 21, "difficulty_count": 21, "profile_id": "rmp:329243", "source_url": "https://www.ratemyprofessors.com/professor/329243", "match_basis": "exact_name", "observed_at": "2026-09-07 16:09:32.056734+00:00", "courses": { "course_b588d52f82ec62f25a4f2ece": { "review_count": 2, "quality": 4.5, "difficulty": 4, "quality_count": 2, "difficulty_count": 2 }, "course_1c943aa88ab6f61c9fa4c558": { "review_count": 3, "quality": 1.33, "difficulty": 4, "quality_count": 3, "difficulty_count": 3 }, "course_a7ce5ee394c07ac642067916": { "review_count": 9, "quality": 2.44, "difficulty": 4.67, "quality_count": 9, "difficulty_count": 9 }, "course_e0dea279cb4bde9b3cec752e": { "review_count": 1, "quality": 5, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 }, "course_a4ae993219c28eb4a4c5c7e2": { "review_count": 1, "quality": 3, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_368722b4e51915750b4c0050": { "review_count": 1, "quality": 1, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.2705784309983392, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.497, "graded": 936, "counts": [ 446, 238, 148, 51, 37, 11, 5 ], "sections": 166 }, "instructor_url": "/instructors/ROBERT_NOWAK--instructor_a0635de9e0867a015d9ba90e" }, { "instructor_uid": "instructor_cda48ee9d4f5608798e55a26", "source": "madgrades", "source_instructor_id": "5632976", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LAURENT LESSARD", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 4, "quality": 5, "difficulty": 3.25, "quality_count": 4, "difficulty_count": 4, "profile_id": "rmp:2227000", "source_url": 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"identity_status": "source_identified", "name": "GRIGORIS CHRYSOS", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 25, "quality": 1.24, "difficulty": 4.8, "quality_count": 25, "difficulty_count": 25, "profile_id": "rmp:2984236", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "match_basis": "exact_name", "observed_at": "2026-09-07 16:37:55.522895+00:00", "courses": { "course_b588d52f82ec62f25a4f2ece": { "review_count": 8, "quality": 1, "difficulty": 5, "quality_count": 8, "difficulty_count": 8 }, "course_a7ce5ee394c07ac642067916": { "review_count": 2, "quality": 2.5, "difficulty": 4.5, "quality_count": 2, "difficulty_count": 2 }, "course_2dc691819ab3968d0478921d": { "review_count": 15, "quality": 1.2, "difficulty": 4.73, "quality_count": 15, "difficulty_count": 15 } }, "bayesian_quality": 2.315415903798487, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.553, "graded": 274, "counts": [ 125, 92, 34, 17, 2, 3, 1 ], "sections": 24 }, "instructor_url": "/instructors/GRIGORIS_CHRYSOS--instructor_c2f40edad07a93567308c9bc" }, { "instructor_uid": "instructor_b7eae26f3a2c356c7034ca99", "source": "madgrades", "source_instructor_id": "4309802", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BERNARD LESIEUTRE", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 11, "quality": 4.27, "difficulty": 2.64, "quality_count": 11, "difficulty_count": 11, "profile_id": "rmp:1649338", "source_url": "https://www.ratemyprofessors.com/professor/1649338", "match_basis": "exact_name", "observed_at": "2026-09-07 16:51:56.871027+00:00", "courses": { "course_1c943aa88ab6f61c9fa4c558": { "review_count": 6, "quality": 3.83, "difficulty": 2.5, "quality_count": 6, "difficulty_count": 6 }, "course_b679e3cf25eb2922e638a7d2": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_1d414842d040e66d0ee9e2ac": { "review_count": 4, "quality": 4.75, "difficulty": 3, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 3.8762488926107066, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.519, "graded": 1395, "counts": [ 780, 217, 223, 73, 85, 8, 9 ], "sections": 152 }, "instructor_url": "/instructors/BERNARD_LESIEUTRE--instructor_b7eae26f3a2c356c7034ca99" }, { "instructor_uid": "instructor_d95c2d379051fc3dd30fd448", "source": "madgrades", "source_instructor_id": "6303757", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DOMINIC GROSS", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.53, "graded": 406, "counts": [ 228, 73, 49, 25, 25, 6, 0 ], "sections": 38 }, "instructor_url": "/instructors/DOMINIC_GROSS--instructor_d95c2d379051fc3dd30fd448" }, { "instructor_uid": "instructor_48c22e01d6a474ef5af37f38", "source": "madgrades", "source_instructor_id": "6806933", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ULUGBEK KAMILOV", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.289, "graded": 114, "counts": [ 54, 18, 11, 18, 9, 0, 4 ], "sections": 3 }, "instructor_url": "/instructors/ULUGBEK_KAMILOV--instructor_48c22e01d6a474ef5af37f38" }, { "instructor_uid": "instructor_f85b9ff343f5be26654f10d9", "source": "enrollment", "source_instructor_id": "chrysos", "identity_basis": "netid", "identity_status": "source_identified", "name": "Grigoris Chrysos", "email": "CHRYSOS@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 25, "quality": 1.24, "difficulty": 4.8, "quality_count": 25, "difficulty_count": 25, "profile_id": "rmp:2984236", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "match_basis": "exact_name", "observed_at": "2026-09-07 16:37:55.522895+00:00", "courses": { "course_b588d52f82ec62f25a4f2ece": { "review_count": 8, "quality": 1, "difficulty": 5, "quality_count": 8, "difficulty_count": 8 }, "course_a7ce5ee394c07ac642067916": { "review_count": 2, "quality": 2.5, "difficulty": 4.5, "quality_count": 2, "difficulty_count": 2 }, "course_2dc691819ab3968d0478921d": { "review_count": 15, "quality": 1.2, "difficulty": 4.73, "quality_count": 15, "difficulty_count": 15 } }, "bayesian_quality": 2.315415903798487, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/GRIGORIS_CHRYSOS" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 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[ "Eduardo Romero Arvelo", "YU HU" ], "a": 85, "ab": 49, "b": 26, "bc": 14, "c": 5, "d": 0, "f": 1, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 182, "source_aliases": [ "COMPSCI/ECE/ME 532" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE/ME 532", "course_uid": "course_b588d52f82ec62f25a4f2ece", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Eduardo Romero Arvelo" ], "a": 96, "ab": 37, "b": 27, "bc": 17, "c": 7, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 185, "source_aliases": [ "COMPSCI/ECE/ME 532" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE/ME 532", "course_uid": "course_b588d52f82ec62f25a4f2ece", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Eduardo Romero Arvelo", "Grigoris Chrysos" ], "a": 70, "ab": 29, "b": 27, "bc": 20, "c": 2, "d": 1, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 152, "source_aliases": [ "COMPSCI/ECE/ME 532" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE/ME 532", "course_uid": "course_b588d52f82ec62f25a4f2ece", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Ramya Korlakai Vinayak" ], "a": 22, "ab": 17, "b": 42, "bc": 17, "c": 6, "d": 3, "f": 1, "satisfactory": 0, "unsatisfactory": 1, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 110, "source_aliases": [ "COMPSCI/ECE/ME 532" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE/ME 532", "course_uid": "course_b588d52f82ec62f25a4f2ece", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "BERNARD LESIEUTRE", "Dominic Gross", "Eduardo Romero Arvelo", "Grigoris Chrysos" ], "a": 88, "ab": 58, "b": 28, "bc": 20, "c": 8, "d": 4, "f": 1, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 1, "not_reported": 0, "other": 0, "total": 213, "source_aliases": [ "COMPSCI/ECE/ME 532" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE/ME 532", "course_uid": "course_b588d52f82ec62f25a4f2ece", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Robert Nowak", "Ulugbek Kamilov" ], "a": 72, "ab": 26, "b": 16, "bc": 20, "c": 10, "d": 0, "f": 5, "satisfactory": 0, "unsatisfactory": 1, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 150, "source_aliases": [ "COMPSCI/ECE/ME 532" ] } ] ``` ### statistics #### gpa 3.497 #### graded 2545 #### counts * 1216 * 606 * 424 * 193 * 73 * 15 * 18 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_b588d52f82ec62f25a4f2ece-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_b588d52f82ec62f25a4f2ece-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_b588d52f82ec62f25a4f2ece-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_b588d52f82ec62f25a4f2ece-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_b588d52f82ec62f25a4f2ece-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_b588d52f82ec62f25a4f2ece-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_b588d52f82ec62f25a4f2ece-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_b588d52f82ec62f25a4f2ece-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_b588d52f82ec62f25a4f2ece-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_b588d52f82ec62f25a4f2ece-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.4972495088408646 #### count 2545 #### university ##### size 5267 ##### gpa Percentile 22 ##### count Percentile 96 ##### median Count 170 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 6 | false | | 2.8–3.2 | 285 | false | | 3.2–3.6 | 1349 | true | | 3.6–4.0 | 3626 | false | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 108, "gpaPercentile": 32, "countPercentile": 87, "medianCount": 426.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 14, "current": false }, { "range": "3.2–3.6", "count": 33, "current": true }, { "range": "3.6–4.0", "count": 61, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 130, "gpaPercentile": 30, "countPercentile": 96, "medianCount": 196, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 47, "current": true }, { "range": "3.6–4.0", "count": 78, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 87, "gpaPercentile": 30, "countPercentile": 94, "medianCount": 189, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 35, "current": true }, { "range": "3.6–4.0", "count": 47, "current": false } ] } } ] ``` ### terms #### 1114 ##### term 1114 ##### gpa 3.466666666666667 ##### count 30 ##### university ###### size 804 ###### gpa Percentile 59 ###### count Percentile 0 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 231 | false | | 3.2–3.6 | 292 | true | | 3.6–4.0 | 227 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 18, "gpaPercentile": 82, "countPercentile": 0, "medianCount": 58, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 22, "gpaPercentile": 90, "countPercentile": 0, "medianCount": 49, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 19, "gpaPercentile": 72, "countPercentile": 0, "medianCount": 88, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.6219512195121952 ##### count 41 ##### university ###### size 918 ###### gpa Percentile 71 ###### count Percentile 22 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 30, "gpaPercentile": 79, "countPercentile": 24, "medianCount": 48.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 30, "gpaPercentile": 86, "countPercentile": 21, "medianCount": 62, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } }, { "subject": "ME", "comparison": { "size": 24, "gpaPercentile": 78, "countPercentile": 22, "medianCount": 68, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.357142857142857 ##### count 42 ##### university ###### size 954 ###### gpa Percentile 41 ###### count Percentile 24 ###### median Count 64.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 350 | true | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 35, "gpaPercentile": 59, "countPercentile": 26, "medianCount": 56, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 14, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 32, "gpaPercentile": 68, "countPercentile": 13, "medianCount": 68, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 27, "gpaPercentile": 42, "countPercentile": 27, "medianCount": 65, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.272222222222222 ##### count 90 ##### university ###### size 991 ###### gpa Percentile 31 ###### count Percentile 65 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 353 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 63, "countPercentile": 63, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 16, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 35, "gpaPercentile": 41, "countPercentile": 65, "medianCount": 72, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 12, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 21, "gpaPercentile": 30, "countPercentile": 55, "medianCount": 89, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.4702970297029703 ##### count 101 ##### university ###### size 1025 ###### gpa Percentile 47 ###### count Percentile 69 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 36, "gpaPercentile": 66, "countPercentile": 63, "medianCount": 90.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 40, "gpaPercentile": 49, "countPercentile": 72, "medianCount": 63, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 16, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 23, "gpaPercentile": 45, "countPercentile": 64, "medianCount": 88, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.578125 ##### count 96 ##### university ###### size 1077 ###### gpa Percentile 53 ###### count Percentile 65 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | true | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 38, "gpaPercentile": 68, "countPercentile": 51, "medianCount": 95.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 12, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 38, "gpaPercentile": 62, "countPercentile": 68, "medianCount": 77, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 25, "gpaPercentile": 63, "countPercentile": 71, "medianCount": 77, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.759259259259259 ##### count 54 ##### university ###### size 1040 ###### gpa Percentile 73 ###### count Percentile 38 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 38, "gpaPercentile": 78, "countPercentile": 19, "medianCount": 92, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 36, "gpaPercentile": 77, "countPercentile": 17, "medianCount": 77, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 15, "current": true } ] } }, { "subject": "ME", "comparison": { "size": 23, "gpaPercentile": 91, "countPercentile": 41, "medianCount": 68, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.5718085106382977 ##### count 188 ##### university ###### size 1102 ###### gpa Percentile 52 ###### count Percentile 87 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 41, "gpaPercentile": 70, "countPercentile": 78, "medianCount": 91, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 15, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 37, "gpaPercentile": 61, "countPercentile": 94, "medianCount": 78, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 15, "current": true }, { "range": "3.6–4.0", "count": 12, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 21, "gpaPercentile": 55, "countPercentile": 95, "medianCount": 96, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.58 ##### count 150 ##### university ###### size 1012 ###### gpa Percentile 30 ###### count Percentile 83 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | true | | 3.6–4.0 | 685 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 42, "gpaPercentile": 44, "countPercentile": 73, "medianCount": 90.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 19, "current": true }, { "range": "3.6–4.0", "count": 22, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 34, "gpaPercentile": 21, "countPercentile": 94, "medianCount": 73.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 25, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 20, "gpaPercentile": 16, "countPercentile": 89, "medianCount": 84, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 16, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.6104294478527605 ##### count 163 ##### university ###### size 1111 ###### gpa Percentile 46 ###### count Percentile 83 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 42, "gpaPercentile": 68, "countPercentile": 71, "medianCount": 96, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 41, "gpaPercentile": 60, "countPercentile": 93, "medianCount": 66, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 19, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } }, { "subject": "ME", "comparison": { "size": 23, "gpaPercentile": 59, "countPercentile": 100, "medianCount": 95, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.6608187134502925 ##### count 171 ##### university ###### size 1157 ###### gpa Percentile 53 ###### count Percentile 83 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 71, "countPercentile": 67, "medianCount": 94.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 23, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 41, "gpaPercentile": 65, "countPercentile": 93, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 18, "current": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } }, { "subject": "ME", "comparison": { "size": 28, "gpaPercentile": 63, "countPercentile": 89, "medianCount": 71.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.5925925925925926 ##### count 162 ##### university ###### size 1171 ###### gpa Percentile 47 ###### count Percentile 85 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | true | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 45, "gpaPercentile": 61, "countPercentile": 64, "medianCount": 96, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 17, "current": true }, { "range": "3.6–4.0", "count": 17, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 43, "gpaPercentile": 55, "countPercentile": 93, "medianCount": 78, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 18, "current": true }, { "range": "3.6–4.0", "count": 18, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 24, "gpaPercentile": 61, "countPercentile": 83, "medianCount": 102.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.5042735042735043 ##### count 117 ##### university ###### size 1216 ###### gpa Percentile 37 ###### count Percentile 73 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | true | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 50, "gpaPercentile": 53, "countPercentile": 61, "medianCount": 82.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 19, "current": true }, { "range": "3.6–4.0", "count": 22, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 44, "gpaPercentile": 60, "countPercentile": 79, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 17, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 25, "gpaPercentile": 42, "countPercentile": 46, "medianCount": 118, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.518867924528302 ##### count 159 ##### university ###### size 1188 ###### gpa Percentile 38 ###### count Percentile 83 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | true | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 62, "countPercentile": 60, "medianCount": 111, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 26, "current": true }, { "range": "3.6–4.0", "count": 12, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 41, "gpaPercentile": 50, "countPercentile": 88, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 22, "current": true }, { "range": "3.6–4.0", "count": 15, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 26, "gpaPercentile": 44, "countPercentile": 80, "medianCount": 107.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.525 ##### count 180 ##### university ###### size 1295 ###### gpa Percentile 36 ###### count Percentile 85 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | true | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 52, "gpaPercentile": 51, "countPercentile": 69, "medianCount": 99, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 20, "current": true }, { "range": "3.6–4.0", "count": 22, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 41, "gpaPercentile": 60, "countPercentile": 90, "medianCount": 83, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 18, "current": true }, { "range": "3.6–4.0", "count": 15, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 31, "gpaPercentile": 43, "countPercentile": 90, "medianCount": 107, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 15, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.5243243243243243 ##### count 185 ##### university ###### size 1241 ###### gpa Percentile 36 ###### count Percentile 87 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | true | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 53, "countPercentile": 64, "medianCount": 116, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 17, "current": true }, { "range": "3.6–4.0", "count": 18, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 38, "gpaPercentile": 43, "countPercentile": 95, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 18, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 27, "gpaPercentile": 38, "countPercentile": 96, "medianCount": 109, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.4046052631578947 ##### count 152 ##### university ###### size 1333 ###### gpa Percentile 23 ###### count Percentile 80 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 54, "gpaPercentile": 36, "countPercentile": 64, "medianCount": 101, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 23, "current": true }, { "range": "3.6–4.0", "count": 22, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 44, "gpaPercentile": 33, "countPercentile": 84, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 23, "current": true }, { "range": "3.6–4.0", "count": 17, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 28, "gpaPercentile": 30, "countPercentile": 70, "medianCount": 116.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.064814814814815 ##### count 108 ##### university ###### size 1289 ###### gpa Percentile 7 ###### count Percentile 73 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | true | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 52, "gpaPercentile": 10, "countPercentile": 53, "medianCount": 105, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 10, "current": true }, { "range": "3.2–3.6", "count": 24, "current": false }, { "range": "3.6–4.0", "count": 17, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 40, "gpaPercentile": 10, "countPercentile": 72, "medianCount": 87.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": true }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 16, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 28, "gpaPercentile": 4, "countPercentile": 41, "medianCount": 121.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 17, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.42512077294686 ##### count 207 ##### university ###### size 1320 ###### gpa Percentile 24 ###### count Percentile 87 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | true | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 53, "gpaPercentile": 37, "countPercentile": 69, "medianCount": 82, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 22, "current": true }, { "range": "3.6–4.0", "count": 21, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 41, "gpaPercentile": 40, "countPercentile": 93, "medianCount": 82, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 17, "current": true }, { "range": "3.6–4.0", "count": 16, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 31, "gpaPercentile": 37, "countPercentile": 83, "medianCount": 99, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 15, "current": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.335570469798658 ##### count 149 ##### university ###### size 1283 ###### gpa Percentile 18 ###### count Percentile 81 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | true | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 48, "gpaPercentile": 28, "countPercentile": 62, "medianCount": 105.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 21, "current": true }, { "range": "3.6–4.0", "count": 19, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 45, "gpaPercentile": 25, "countPercentile": 82, "medianCount": 73, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 15, "current": true }, { "range": "3.6–4.0", "count": 25, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 25, "gpaPercentile": 38, "countPercentile": 54, "medianCount": 131, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5267 ###### gpa 3.6925744642800056 ###### top Share 83.82902121964835 ###### count 170 ##### COMPSCI ###### size 108 ###### gpa 3.5989032747368133 ###### top Share 79.12014465326098 ###### count 426.5 ##### ECE ###### size 130 ###### gpa 3.620242881338521 ###### top Share 79.8883163171062 ###### count 196 ##### ME ###### size 87 ###### gpa 3.6225176582871903 ###### top Share 79.10315962804967 ###### count 189 #### terms ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### COMPSCI ###### size 18 ###### gpa 3.266230341473234 ###### top Share 59.94733477037724 ###### count 58 ###### ECE ###### size 22 ###### gpa 3.144458106909116 ###### top Share 49.77358787545943 ###### count 49 ###### ME ###### size 19 ###### gpa 3.2194204844463745 ###### top Share 53.33027979920354 ###### count 88 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### COMPSCI ###### size 30 ###### gpa 3.3169698368361287 ###### top Share 64.20051564737066 ###### count 48.5 ###### ECE ###### size 30 ###### gpa 3.3140597882926164 ###### top Share 61.06564628590848 ###### count 62 ###### ME ###### size 24 ###### gpa 3.3808071075650745 ###### top Share 62.5173811857505 ###### count 68 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### COMPSCI ###### size 35 ###### gpa 3.3323013900568625 ###### top Share 63.38685451839816 ###### count 56 ###### ECE ###### size 32 ###### gpa 3.319518625747047 ###### top Share 59.51472818692325 ###### count 68 ###### ME ###### size 27 ###### gpa 3.419766276244962 ###### top Share 64.02056497575037 ###### count 65 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### COMPSCI ###### size 31 ###### gpa 3.3325489227746874 ###### top Share 61.97665055034616 ###### count 74 ###### ECE ###### size 35 ###### gpa 3.3883507843058354 ###### top Share 63.7905998393372 ###### count 72 ###### ME ###### size 21 ###### gpa 3.4471990844841205 ###### top Share 67.66812128917704 ###### count 89 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### COMPSCI ###### size 36 ###### gpa 3.352907303323745 ###### top Share 63.88103454195665 ###### count 90.5 ###### ECE ###### size 40 ###### gpa 3.456923604087721 ###### top Share 68.99771043518125 ###### count 63 ###### ME ###### size 23 ###### gpa 3.457465602596896 ###### top Share 69.62313477557635 ###### count 88 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### COMPSCI ###### size 38 ###### gpa 3.3453717241366854 ###### top Share 64.2917310505246 ###### count 95.5 ###### ECE ###### size 38 ###### gpa 3.447533461703932 ###### top Share 70.3070826404184 ###### count 77 ###### ME ###### size 25 ###### gpa 3.466695235970762 ###### top Share 68.51106643821986 ###### count 77 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### COMPSCI ###### size 38 ###### gpa 3.3433846242383978 ###### top Share 63.409438479169644 ###### count 92 ###### ECE ###### size 36 ###### gpa 3.5139370942069434 ###### top Share 73.58293880609176 ###### count 77 ###### ME ###### size 23 ###### gpa 3.411535423691701 ###### top Share 62.97771742929326 ###### count 68 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### COMPSCI ###### size 41 ###### gpa 3.3598624373657553 ###### top Share 65.26544910639922 ###### count 91 ###### ECE ###### size 37 ###### gpa 3.4499953407109865 ###### top Share 70.66752329901533 ###### count 78 ###### ME ###### size 21 ###### gpa 3.4785985760675224 ###### top Share 69.95456644574271 ###### count 96 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### COMPSCI ###### size 42 ###### gpa 3.6240893265324647 ###### top Share 79.98991493017058 ###### count 90.5 ###### ECE ###### size 34 ###### gpa 3.7346193271517083 ###### top Share 86.80502962000203 ###### count 73.5 ###### ME ###### size 20 ###### gpa 3.669078433787773 ###### top Share 83.33636146963025 ###### count 84 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### COMPSCI ###### size 42 ###### gpa 3.450396020252364 ###### top Share 69.90950224603134 ###### count 96 ###### ECE ###### size 41 ###### gpa 3.5390420098740205 ###### top Share 74.4144228117487 ###### count 66 ###### ME ###### size 23 ###### gpa 3.538085451005178 ###### top Share 75.05280872206067 ###### count 95 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### COMPSCI ###### size 46 ###### gpa 3.4266761668874532 ###### top Share 68.93117403010548 ###### count 94.5 ###### ECE ###### size 41 ###### gpa 3.502469130958549 ###### top Share 72.06914460291064 ###### count 70 ###### ME ###### size 28 ###### gpa 3.5317658980245055 ###### top Share 73.85244504654484 ###### count 71.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### COMPSCI ###### size 45 ###### gpa 3.4719336884851772 ###### top Share 70.89188483398956 ###### count 96 ###### ECE ###### size 43 ###### gpa 3.493101515836076 ###### top Share 71.87667215876023 ###### count 78 ###### ME ###### size 24 ###### gpa 3.523850925666045 ###### top Share 74.7737178649795 ###### count 102.5 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### COMPSCI ###### size 50 ###### gpa 3.522872390836507 ###### top Share 74.11555010870671 ###### count 82.5 ###### ECE ###### size 44 ###### gpa 3.4583903966894223 ###### top Share 70.01102622146537 ###### count 70 ###### ME ###### size 25 ###### gpa 3.572892556393539 ###### top Share 76.54575303131045 ###### count 118 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### COMPSCI ###### size 46 ###### gpa 3.457340982461054 ###### top Share 70.00975704504911 ###### count 111 ###### ECE ###### size 41 ###### gpa 3.521247893399985 ###### top Share 73.18909826442149 ###### count 70 ###### ME ###### size 26 ###### gpa 3.5441004803192864 ###### top Share 74.40600351589543 ###### count 107.5 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### COMPSCI ###### size 52 ###### gpa 3.5206188715369935 ###### top Share 74.2043106737207 ###### count 99 ###### ECE ###### size 41 ###### gpa 3.4916867437115484 ###### top Share 71.95296745580877 ###### count 83 ###### ME ###### size 31 ###### gpa 3.5460868086391497 ###### top Share 75.80892567064664 ###### count 107 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### COMPSCI ###### size 46 ###### gpa 3.477413782571094 ###### top Share 70.8725394264854 ###### count 116 ###### ECE ###### size 38 ###### gpa 3.554019248602149 ###### top Share 75.22296238620345 ###### count 83.5 ###### ME ###### size 27 ###### gpa 3.5546362177685946 ###### top Share 76.5080798186604 ###### count 109 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### COMPSCI ###### size 54 ###### gpa 3.5244021201456657 ###### top Share 75.07938169795783 ###### count 101 ###### ECE ###### size 44 ###### gpa 3.5595929340853747 ###### top Share 76.26079811550397 ###### count 74 ###### ME ###### size 28 ###### gpa 3.5912563782704816 ###### top Share 76.82128204846178 ###### count 116.5 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### COMPSCI ###### size 52 ###### gpa 3.482652727664103 ###### top Share 71.33786483648515 ###### count 105 ###### ECE ###### size 40 ###### gpa 3.5198762319632855 ###### top Share 74.0918065550377 ###### count 87.5 ###### ME ###### size 28 ###### gpa 3.6206917860927894 ###### top Share 78.31689014028125 ###### count 121.5 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### COMPSCI ###### size 53 ###### gpa 3.533845597774486 ###### top Share 75.31824598445624 ###### count 82 ###### ECE ###### size 41 ###### gpa 3.5162416044524014 ###### top Share 73.72561877957347 ###### count 82 ###### ME ###### size 31 ###### gpa 3.5621240602604693 ###### top Share 74.89090043988932 ###### count 99 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### COMPSCI ###### size 48 ###### gpa 3.5022746140005943 ###### top Share 73.13318776233326 ###### count 105.5 ###### ECE ###### size 45 ###### gpa 3.5814138447018746 ###### top Share 77.53027985486403 ###### count 73 ###### ME ###### size 25 ###### gpa 3.5110862399220912 ###### top Share 72.3479757717731 ###### count 131 ## instructor Trends ```json [ { "uid": "instructor_b15bc374b15a6e0134a830af", "name": "EDUARDO ROMERO ARVELO", "count": 542, "terms": [ { "term": "1222", "count": 117, "sections": 2, "gpa": 3.700854700854701 }, { "term": "1242", "count": 136, "sections": 2, "gpa": 3.5183823529411766 }, { "term": "1244", "count": 185, "sections": 2, "gpa": 3.5243243243243243 }, { "term": "1252", "count": 104, "sections": 1, "gpa": 3.3798076923076925 } ] }, { "uid": "instructor_c7da0e4affd180820e6970b5", "name": "KANG WOOK LEE", "count": 291, "terms": [ { "term": "1202", "count": 73, "sections": 1, "gpa": 3.671232876712329 }, { "term": "1212", "count": 107, "sections": 1, "gpa": 3.5794392523364484 }, { "term": "1224", "count": 111, "sections": 1, "gpa": 3.5045045045045047 } ] }, { "uid": "instructor_a0635de9e0867a015d9ba90e", "name": "ROBERT NOWAK", "count": 289, "terms": [ { "term": "1152", "count": 41, "sections": 1, "gpa": 3.6219512195121952 }, { "term": "1162", "count": 42, "sections": 1, "gpa": 3.357142857142857 }, { "term": "1212", "count": 34, "sections": 1, "gpa": 3.7058823529411766 }, { "term": "1222", "count": 54, "sections": 1, "gpa": 3.574074074074074 }, { "term": "1232", "count": 83, "sections": 1, "gpa": 3.3795180722891565 }, { "term": "1264", "count": 35, "sections": 1, "gpa": 3.4857142857142858 } ] }, { "uid": "instructor_f7c312e4d64fa1483275eb3f", "name": "MATTHEW MALLOY", "count": 260, "terms": [ { "term": "1202", "count": 101, "sections": 1, "gpa": 3.51980198019802 }, { "term": "1204", "count": 108, "sections": 1, "gpa": 3.6203703703703702 }, { "term": "1224", "count": 51, "sections": 1, "gpa": 3.784313725490196 } ] }, { "uid": "instructor_27676dc2887ac73fb41dbfc8", "name": "BARRY VANVEEN", "count": 217, "terms": [ { "term": "1192", "count": 96, "sections": 1, "gpa": 3.578125 }, { "term": "1202", "count": 14, "sections": 1, "gpa": 3.4285714285714284 }, { "term": "1212", "count": 107, "sections": 1, "gpa": 3.5794392523364484 } ] }, { "uid": "instructor_05424d60e31f458b44af80eb", "name": "PEDRO MARAVILHA MORGADO", "count": 148, "terms": [ { "term": "1232", "count": 34, "sections": 1, "gpa": 3.8088235294117645 }, { "term": "1234", "count": 114, "sections": 1, "gpa": 3.543859649122807 } ] }, { "uid": "instructor_cda48ee9d4f5608798e55a26", "name": "LAURENT LESSARD", "count": 132, "terms": [ { "term": "1162", "count": 42, "sections": 1, "gpa": 3.357142857142857 }, { "term": "1172", "count": 90, "sections": 1, "gpa": 3.272222222222222 } ] }, { "uid": "instructor_a78a8387914d62f098d9bf26", "name": "RAMYA KORLAKAI VINAYAK", "count": 130, "terms": [ { "term": "1212", "count": 22, "sections": 1, "gpa": 3.6136363636363638 }, { "term": "1254", "count": 108, "sections": 2, "gpa": 3.064814814814815 } ] }, { "uid": "instructor_c2f40edad07a93567308c9bc", "name": "GRIGORIS CHRYSOS", "count": 122, "terms": [ { "term": "1252", "count": 48, "sections": 1, "gpa": 3.4583333333333335 }, { "term": "1262", "count": 74, "sections": 1, "gpa": 3.324324324324324 } ] }, { "uid": "instructor_48c22e01d6a474ef5af37f38", "name": "ULUGBEK KAMILOV", "count": 114, "terms": [ { "term": "1264", "count": 114, "sections": 1, "gpa": 3.289473684210526 } ] }, { "uid": "instructor_34cd6ba336e132d0316631f3", "name": "REBECCA LU", "count": 101, "terms": [ { "term": "1182", "count": 101, "sections": 1, "gpa": 3.4702970297029703 } ] }, { "uid": "instructor_08573dd5525332150a039cef", "name": "YU HU", "count": 86, "terms": [ { "term": "1204", "count": 42, "sections": 1, "gpa": 3.4761904761904763 }, { "term": "1242", "count": 44, "sections": 1, "gpa": 3.5454545454545454 } ] }, { "uid": "instructor_d95c2d379051fc3dd30fd448", "name": "DOMINIC GROSS", "count": 85, "terms": [ { "term": "1262", "count": 85, "sections": 1, "gpa": 3.3823529411764706 } ] }, { "uid": "instructor_e38c863db9d6842d7de9ba64", "name": "PO-LING LOH", "count": 54, "terms": [ { "term": "1194", "count": 54, "sections": 1, "gpa": 3.759259259259259 } ] }, { "uid": "instructor_b7eae26f3a2c356c7034ca99", "name": "BERNARD LESIEUTRE", "count": 48, "terms": [ { "term": "1262", "count": 48, "sections": 1, "gpa": 3.65625 } ] }, { "uid": "instructor_1de4de258bced02b550321a6", "name": "DIMITRIOS PAPAILIOPOULOS", "count": 45, "terms": [ { "term": "1234", "count": 45, "sections": 1, "gpa": 3.4555555555555557 } ] }, { "uid": "instructor_49ad2008bae9eaafa29e17ca", "name": "BILL SETHARES", "count": 30, "terms": [ { "term": "1114", "count": 30, "sections": 1, "gpa": 3.466666666666667 } ] } ] ``` ## following | code | title | | --------------- | ------------------------------------------------------ | | COMPSCI 540 | INTRODUCTION TO ARTIFICIAL INTELLIGENCE | | COMPSCI/ECE 561 | PROBABILITY AND INFORMATION THEORY IN MACHINE LEARNING | | ECE/ISYE 570 | ETHICS OF DATA FOR ENGINEERS | ## projection ### target 1272 ### interval #### lower 3.31 #### upper 3.65 #### coverage 80 #### terms 8 ### gpa 3.480028665721814 ### grades | grade | percentage | | ----- | ------------------ | | A | 46.45430873401209 | | AB | 25.241369719426913 | | B | 14.936663037708955 | | BC | 9.073098032806657 | | C | 2.772722715933805 | | D | 0.8026579911276855 | | F | 0.719179768983883 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 827 ### same Season true ### historical Range * 3.4046052631578947 * 3.660818713450292 ### backtest #### terms 8 #### gpa Error 0.11515266296927218 #### mix Error 10.108395409770129