# COMPSCI/ECE 761: Mathematical Foundations of Machine Learning | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_ECE_761) ## 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 b1c91652d606658a0b1bfbab85f89f1d36011838b81098979b3c4d98ddbf3e9d ### course id COMPSCI/ECE 761 ### course uid course\_a7ce5ee394c07ac642067916 ### catalog version id 9041c5bca04229861a482320d3b7e34fb48c4ecebae509d5e350fcbd6702bc62 ### course number 761 ### subjects * COMPSCI * ECE ### title MATHEMATICAL FOUNDATIONS OF MACHINE LEARNING ### description Mathematical foundations of machine learning theory and algorithms. Probabilistic, algebraic, and geometric models and representations of data, mathematical analysis of state-of-the-art learning algorithms and optimization methods, and applications of machine learning. Knowledge of probability \[such asMATH/​STAT  431orCOMP SCI/​E C E  561] and linear algebra \[such asMATH 341orM E/​COMP SCI/​E C E  532] is required. ### requirements text Graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-b6d8f78c1be0d523cf09d00d ### llm output id 58ef820e34fe4f293f289f37438409809b5fab3838ebcd02c66751151d671e07 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary COMPSCI/ECE 761 covers the mathematical foundations of machine learning, including probabilistic, algebraic, and geometric models, and the analysis of learning algorithms and optimization methods. ### llm topics * Probabilistic, algebraic, and geometric models * Learning algorithms and optimization methods * Applications of machine learning ### llm skills * Mathematical foundations of machine learning theory * Mathematical analysis of learning algorithms and optimization * Applications of machine learning ### llm assumed background * Probability theory and linear algebra fundamentals * Probabilistic tools for machine learning and information theory * Linear algebra theory and proof writing ### llm search phrases * mathematical foundations machine learning * probabilistic models machine learning * linear algebra proofs machine learning * optimization methods machine learning ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 9f41de33c571cc386c6a02e2dbce867d03f0e01d29f7dd4eb10ada96a7696ee9 #### course id COMPSCI/ECE 761 #### current instructors None recorded. #### difficulty workload Historical reviews of Grigoris Chrysos, Robert Nowak: The course is a graduate-level, proof-based class on mathematical foundations of ML. Reviewers report high difficulty, noting that a strong statistics background is required but often not clearly explained, and that exams are challenging. ```json { "citations": [ { "instructor_name": "Robert Nowak", "review_date": "2016-05-07 16:16:07 +0000 UTC", "review_id": "071f503c6363cff18a2b1d1c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:329243", "source_review_id": "UmF0aW5nLTI2NDk5MzY1", "source_url": "https://www.ratemyprofessors.com/professor/329243", "type": "review" }, { "instructor_name": "Robert Nowak", "review_date": "2021-08-20 08:07:02 +0000 UTC", "review_id": "e3d78e13b7a559cf80631e46", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:329243", "source_review_id": "UmF0aW5nLTM1MDM3ODI1", "source_url": "https://www.ratemyprofessors.com/professor/329243", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-05-09 04:04:07 +0000 UTC", "review_id": "7bdb04295f2c948fcaea4d5a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQxMjIyNzI0", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-10-21 13:45:15 +0000 UTC", "review_id": "e3672ed70f344d7eab5772a2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQxNzM3NzAz", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" } ] } ``` #### errors None recorded. #### historical context No current instructor is listed for this term. Historical reviews for Grigoris Chrysos and Ramya Vinayak show polarized experiences, with one citing clear lectures and another describing poor teaching and unhelpful homework. Ramya Vinayak also received praise for rigorous explanations of complex theoretical concepts. ```json { "citations": [ { "instructor_name": "Grigoris Chrysos", "review_date": "2025-05-09 04:04:07 +0000 UTC", "review_id": "7bdb04295f2c948fcaea4d5a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQxMjIyNzI0", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-10-21 13:45:15 +0000 UTC", "review_id": "e3672ed70f344d7eab5772a2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQxNzM3NzAz", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Ramya Vinayak", "review_date": "2026-08-27 19:35:25 +0000 UTC", "review_id": "0cbcc1c1f7cfc0e3929f7f65", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2626459", "source_review_id": "UmF0aW5nLTQzMzkzNzQ3", "source_url": "https://www.ratemyprofessors.com/professor/2626459", "type": "review" } ] } ``` #### offered false #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Reviews for historical instructors Jerry Zhu, Grigoris Chrysos, and Ramya Vinayak praise clear, intuitive explanations of complex machine learning concepts. Conversely, reviews for Kangwook Lee and Ramya Vinayak describe polarized experiences ranging from highly committed teaching to derisive behavior. ```json { "citations": [ { "instructor_name": "Jerry Zhu", "review_date": "2013-08-01 01:12:18 +0000 UTC", "review_id": "cf660ce5040b412ea9ca1d34", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1785920", "source_review_id": "UmF0aW5nLTIyMDE1MDgz", "source_url": "https://www.ratemyprofessors.com/professor/1785920", "type": "review" }, { "instructor_name": "Jerry Zhu", "review_date": "2014-06-29 18:38:07 +0000 UTC", "review_id": "992a755fb165f454159d1944", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1785920", "source_review_id": "UmF0aW5nLTIzNDEwOTM5", "source_url": "https://www.ratemyprofessors.com/professor/1785920", "type": "review" }, { "instructor_name": "Grigoris Chrysos", "review_date": "2025-10-21 13:45:15 +0000 UTC", "review_id": "e3672ed70f344d7eab5772a2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984236", "source_review_id": "UmF0aW5nLTQxNzM3NzAz", "source_url": "https://www.ratemyprofessors.com/professor/2984236", "type": "review" }, { "instructor_name": "Ramya Vinayak", "review_date": "2026-08-27 19:35:25 +0000 UTC", "review_id": "0cbcc1c1f7cfc0e3929f7f65", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2626459", "source_review_id": "UmF0aW5nLTQzMzkzNzQ3", "source_url": "https://www.ratemyprofessors.com/professor/2626459", "type": "review" }, { "instructor_name": "Kangwook Lee", "review_date": "2020-04-25 06:04:57 +0000 UTC", "review_id": "13ee92ed88b92ff4154ff461", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2517429", "source_review_id": "UmF0aW5nLTMzMTI1OTgy", "source_url": "https://www.ratemyprofessors.com/professor/2517429", "type": "review" }, { "instructor_name": "Ramya Vinayak", "review_date": "2023-09-06 21:25:44 +0000 UTC", "review_id": "f2ccf827e887f39164ed4007", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2626459", "source_review_id": "UmF0aW5nLTM4MjA1MzU3", "source_url": "https://www.ratemyprofessors.com/professor/2626459", "type": "review" } ] } ``` Recent recorded grades — Spring 2024: 3.74 GPA, 87.0% A/AB (n=23 letter grades); Spring 2025: 3.54 GPA, 69.2% A/AB (n=39 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=8 letter grades). ```json { "citations": [ { "course_id": "COMPSCI/ECE 761", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI/ECE 761", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI/ECE 761", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Kangwook Lee, Ramya Vinayak: Student experiences with Kangwook Lee and Ramya Vinayak are polarized. Some praise their commitment and knowledge, while others describe derisive behavior, insufficient prerequisites, and a frustrating classroom environment. ```json { "citations": [ { "instructor_name": "Kangwook Lee", "review_date": "2020-04-25 06:04:57 +0000 UTC", "review_id": "13ee92ed88b92ff4154ff461", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2517429", "source_review_id": "UmF0aW5nLTMzMTI1OTgy", "source_url": "https://www.ratemyprofessors.com/professor/2517429", "type": "review" }, { "instructor_name": "Kangwook Lee", "review_date": "2021-03-01 13:34:44 +0000 UTC", "review_id": "092196c175e642f88a9820c3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2517429", "source_review_id": "UmF0aW5nLTM0Mzk4MTY0", "source_url": "https://www.ratemyprofessors.com/professor/2517429", "type": "review" }, { "instructor_name": "Kangwook Lee", "review_date": "2023-01-02 03:46:55 +0000 UTC", "review_id": "6ec2ddbf588ba4aba06c273a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2517429", "source_review_id": "UmF0aW5nLTM3MjcxMDEw", "source_url": "https://www.ratemyprofessors.com/professor/2517429", "type": "review" }, { "instructor_name": "Ramya Vinayak", "review_date": "2023-09-06 21:25:44 +0000 UTC", "review_id": "f2ccf827e887f39164ed4007", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2626459", "source_review_id": "UmF0aW5nLTM4MjA1MzU3", "source_url": "https://www.ratemyprofessors.com/professor/2626459", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history GRIGORIS CHRYSOS is recorded teaching in Spring 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/ECE 761", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "source_record": { "entity_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" } ] } ``` RAMYA KORLAKAI VINAYAK is recorded teaching in Spring 2023, Spring 2024, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/ECE 761", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "source_record": { "entity_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI/ECE 761", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "source_record": { "entity_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI/ECE 761", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "source_record": { "entity_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` ROBERT NOWAK is recorded teaching in Spring 2016, Fall 2017, Fall 2018, Spring 2020, Spring 2022, Spring 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/ECE 761", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "source_record": { "entity_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "COMPSCI/ECE 761", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "source_record": { "entity_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "COMPSCI/ECE 761", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "source_record": { "entity_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "COMPSCI/ECE 761", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "source_record": { "entity_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "COMPSCI/ECE 761", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "source_record": { "entity_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "COMPSCI/ECE 761", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "source_record": { "entity_id": "6413bb4a-d49a-38e4-a89d-4e924819a1ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_74e71544cb072def38511b27", "source": "madgrades", "source_instructor_id": "4108524", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XIAOJIN ZHU", "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": 3.35, "graded": 2423, "counts": [ 903, 666, 436, 223, 136, 36, 23 ], "sections": 146 }, "instructor_url": "/instructors/XIAOJIN_ZHU--instructor_74e71544cb072def38511b27" }, { "instructor_uid": "instructor_34cd6ba336e132d0316631f3", "source": "madgrades", "source_instructor_id": "5292307", "identity_basis": "source_id", "identity_status": "source_identified", "name": "REBECCA LU", "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": 3.373, "graded": 425, "counts": [ 169, 87, 117, 24, 18, 6, 4 ], "sections": 37 }, "instructor_url": "/instructors/REBECCA_LU" }, { "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_c7da0e4affd180820e6970b5", "source": "madgrades", "source_instructor_id": "6242370", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KANG WOOK LEE", "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": 34, "quality": 2.82, "difficulty": 4.12, "quality_count": 34, "difficulty_count": 34, "profile_id": "rmp:2517429", "source_url": "https://www.ratemyprofessors.com/professor/2517429", "match_basis": "exact_name", "observed_at": "2026-09-07 16:25:04.431176+00:00", "courses": { "course_013300c17c3a4f3c90089d51": { "review_count": 3, "quality": 1, "difficulty": 4.67, "quality_count": 3, "difficulty_count": 3 }, "course_b588d52f82ec62f25a4f2ece": { "review_count": 17, "quality": 3.12, "difficulty": 3.76, "quality_count": 17, "difficulty_count": 17 }, "course_b679e3cf25eb2922e638a7d2": { "review_count": 2, "quality": 1, "difficulty": 4, "quality_count": 2, "difficulty_count": 2 }, "course_d1b1335c4fd73dee4c550d71": { "review_count": 1, "quality": 4, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_7827ec668fbfd32d25a29f21": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_a7ce5ee394c07ac642067916": { "review_count": 9, "quality": 2.67, "difficulty": 4.67, "quality_count": 9, "difficulty_count": 9 }, "course_65c8c357ed6414dafbcf8c1e": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.130994734646887, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.565, "graded": 507, "counts": [ 258, 125, 79, 32, 9, 3, 1 ], "sections": 73 }, "instructor_url": "/instructors/KANG_WOOK_LEE--instructor_c7da0e4affd180820e6970b5" }, { "instructor_uid": "instructor_a78a8387914d62f098d9bf26", "source": "madgrades", "source_instructor_id": "6318222", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RAMYA KORLAKAI VINAYAK", "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": 3.307, "graded": 367, "counts": [ 155, 58, 74, 39, 31, 9, 1 ], "sections": 49 }, "instructor_url": "/instructors/RAMYA_KORLAKAI_VINAYAK--instructor_a78a8387914d62f098d9bf26" }, { "instructor_uid": "instructor_c2f40edad07a93567308c9bc", "source": "madgrades", "source_instructor_id": "6587778", "identity_basis": "source_id", "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" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 761", "course_uid": "course_a7ce5ee394c07ac642067916", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "XIAOJIN ZHU" ], "a": 12, "ab": 16, "b": 9, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 39, "source_aliases": [ "COMPSCI/ECE 761" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 761", "course_uid": "course_a7ce5ee394c07ac642067916", "term_id": "1134", "term_name": "Spring 2013", "instructors": [ "XIAOJIN ZHU" ], "a": 13, "ab": 8, "b": 3, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 25, "source_aliases": [ "COMPSCI/ECE 761" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 761", "course_uid": "course_a7ce5ee394c07ac642067916", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "XIAOJIN ZHU" ], "a": 16, "ab": 10, "b": 5, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 32, "source_aliases": [ "COMPSCI/ECE 761" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 761", "course_uid": "course_a7ce5ee394c07ac642067916", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "XIAOJIN ZHU" ], "a": 19, "ab": 15, "b": 3, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 37, "source_aliases": [ "COMPSCI/ECE 761" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 761", "course_uid": "course_a7ce5ee394c07ac642067916", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "REBECCA LU", "Robert Nowak" ], "a": 14, "ab": 19, "b": 4, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 5, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 45, "source_aliases": [ "COMPSCI/ECE 761" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 761", "course_uid": "course_a7ce5ee394c07ac642067916", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "XIAOJIN ZHU" ], "a": 21, "ab": 12, "b": 8, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 44, "source_aliases": [ "COMPSCI/ECE 761" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 761", "course_uid": "course_a7ce5ee394c07ac642067916", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "Robert Nowak" ], "a": 40, "ab": 17, "b": 4, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 64, "source_aliases": [ "COMPSCI/ECE 761" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 761", "course_uid": "course_a7ce5ee394c07ac642067916", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Robert Nowak" ], "a": 29, "ab": 35, "b": 23, "bc": 0, "c": 8, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 4, "other": 0, "total": 99, "source_aliases": [ "COMPSCI/ECE 761" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 761", "course_uid": "course_a7ce5ee394c07ac642067916", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "KANG WOOK LEE", "Robert Nowak" ], "a": 36, "ab": 22, "b": 16, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 18, "unsatisfactory": 1, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 6, "other": 0, "total": 100, "source_aliases": [ "COMPSCI/ECE 761" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 761", "course_uid": "course_a7ce5ee394c07ac642067916", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Robert Nowak" ], "a": 33, "ab": 31, "b": 7, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 74, "source_aliases": [ "COMPSCI/ECE 761" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 761", "course_uid": "course_a7ce5ee394c07ac642067916", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Ramya Korlakai Vinayak", "Robert Nowak" ], "a": 24, "ab": 11, "b": 12, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 53, "source_aliases": [ "COMPSCI/ECE 761" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 761", "course_uid": "course_a7ce5ee394c07ac642067916", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Ramya Korlakai Vinayak" ], "a": 14, "ab": 6, "b": 3, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 23, "source_aliases": [ "COMPSCI/ECE 761" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 761", "course_uid": "course_a7ce5ee394c07ac642067916", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Grigoris Chrysos" ], "a": 16, "ab": 11, "b": 11, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 40, "source_aliases": [ "COMPSCI/ECE 761" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 761", "course_uid": "course_a7ce5ee394c07ac642067916", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Ramya Korlakai Vinayak" ], "a": 8, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 9, "source_aliases": [ "COMPSCI/ECE 761" ] } ] ``` ### statistics #### gpa 3.608 #### graded 636 #### counts * 295 * 213 * 108 * 10 * 10 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_a7ce5ee394c07ac642067916-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_a7ce5ee394c07ac642067916-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_a7ce5ee394c07ac642067916-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_a7ce5ee394c07ac642067916-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_a7ce5ee394c07ac642067916-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_a7ce5ee394c07ac642067916-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_a7ce5ee394c07ac642067916-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_a7ce5ee394c07ac642067916-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.6077044025157234 #### count 636 #### university ##### size 4424 ##### gpa Percentile 36 ##### count Percentile 85 ##### median Count 138 ##### 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 | 13 | false | | 2.8–3.2 | 329 | false | | 3.2–3.6 | 1240 | false | | 3.6–4.0 | 2841 | true | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 98, "gpaPercentile": 48, "countPercentile": 67, "medianCount": 305, "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": 30, "current": false }, { "range": "3.6–4.0", "count": 52, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 114, "gpaPercentile": 48, "countPercentile": 77, "medianCount": 153, "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": 46, "current": false }, { "range": "3.6–4.0", "count": 60, "current": true } ] } } ] ``` ### terms #### 1124 ##### term 1124 ##### gpa 3.5405405405405403 ##### count 37 ##### university ###### size 821 ###### gpa Percentile 61 ###### count Percentile 15 ###### 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 | 39 | false | | 2.8–3.2 | 223 | false | | 3.2–3.6 | 278 | true | | 3.6–4.0 | 280 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 22, "gpaPercentile": 81, "countPercentile": 29, "medianCount": 59, "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": 10, "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": 76, "countPercentile": 38, "medianCount": 60.5, "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": 6, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 3.64 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | #### 1144 ##### term 1144 ##### gpa 3.625 ##### count 32 ##### university ###### size 878 ###### gpa Percentile 68 ###### count Percentile 4 ###### 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 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 26, "gpaPercentile": 88, "countPercentile": 0, "medianCount": 70.5, "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": 11, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 29, "gpaPercentile": 75, "countPercentile": 0, "medianCount": 59, "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": 13, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 3.7162162162162162 ##### count 37 ##### university ###### size 935 ###### gpa Percentile 74 ###### count Percentile 14 ###### median Count 63 ###### 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 | 38 | false | | 2.8–3.2 | 237 | false | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 87, "countPercentile": 10, "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": 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": 9, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 31, "gpaPercentile": 83, "countPercentile": 13, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.576923076923077 ##### count 39 ##### university ###### size 965 ###### gpa Percentile 58 ###### count Percentile 18 ###### 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 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 32, "gpaPercentile": 77, "countPercentile": 10, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 32, "gpaPercentile": 74, "countPercentile": 6, "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": 1, "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": 15, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.604651162790698 ##### count 43 ##### university ###### size 955 ###### gpa Percentile 62 ###### count Percentile 24 ###### 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 | 29 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 30, "gpaPercentile": 76, "countPercentile": 3, "medianCount": 108, "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": 7, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 32, "gpaPercentile": 68, "countPercentile": 6, "medianCount": 85, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.774193548387097 ##### count 62 ##### university ###### size 1025 ###### gpa Percentile 76 ###### count Percentile 44 ###### 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 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 36, "gpaPercentile": 77, "countPercentile": 34, "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": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 40, "gpaPercentile": 82, "countPercentile": 49, "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": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.405263157894737 ##### count 95 ##### university ###### size 1077 ###### gpa Percentile 38 ###### 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": 62, "countPercentile": 49, "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": 43, "countPercentile": 65, "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 } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.62 ##### count 75 ##### university ###### size 1012 ###### gpa Percentile 36 ###### count Percentile 57 ###### 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 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 42, "gpaPercentile": 51, "countPercentile": 37, "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": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 34, "gpaPercentile": 27, "countPercentile": 52, "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": false }, { "range": "3.6–4.0", "count": 25, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.6666666666666665 ##### count 72 ##### university ###### size 1171 ###### gpa Percentile 53 ###### count Percentile 55 ###### 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 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 45, "gpaPercentile": 68, "countPercentile": 32, "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": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 43, "gpaPercentile": 71, "countPercentile": 45, "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": false }, { "range": "3.6–4.0", "count": 18, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.5816326530612246 ##### count 49 ##### university ###### size 1188 ###### gpa Percentile 44 ###### count Percentile 34 ###### 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": 73, "countPercentile": 22, "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": 63, "countPercentile": 20, "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 } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.739130434782609 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | #### 1254 ##### term 1254 ##### gpa 3.5384615384615383 ##### count 39 ##### university ###### size 1289 ###### gpa Percentile 35 ###### count Percentile 19 ###### 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 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 52, "gpaPercentile": 53, "countPercentile": 14, "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": false }, { "range": "3.2–3.6", "count": 24, "current": true }, { "range": "3.6–4.0", "count": 17, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 40, "gpaPercentile": 49, "countPercentile": 8, "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": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 16, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 4 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | ### benchmarks #### all ##### school ###### size 4424 ###### gpa 3.659813725519084 ###### top Share 81.86653069848452 ###### count 138 ##### COMPSCI ###### size 98 ###### gpa 3.568100578914696 ###### top Share 77.19924656521215 ###### count 305 ##### ECE ###### size 114 ###### gpa 3.5879168674802027 ###### top Share 77.50944232858458 ###### count 153 #### terms ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### COMPSCI ###### size 22 ###### gpa 3.1674244675767893 ###### top Share 54.635052791099376 ###### count 59 ###### ECE ###### size 22 ###### gpa 3.2619273221601444 ###### top Share 56.5536768995059 ###### count 60.5 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### COMPSCI ###### size 22 ###### gpa 3.2424086213492718 ###### top Share 59.28222765244668 ###### count 68 ###### ECE ###### size 26 ###### gpa 3.3422063178165016 ###### top Share 62.38776016208119 ###### count 69 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### COMPSCI ###### size 26 ###### gpa 3.263233863996996 ###### top Share 58.711877593449 ###### count 70.5 ###### ECE ###### size 29 ###### gpa 3.3963570521991486 ###### top Share 65.23099367558979 ###### count 59 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### COMPSCI ###### size 31 ###### gpa 3.3515611477246905 ###### top Share 66.93977839039297 ###### count 63 ###### ECE ###### size 31 ###### gpa 3.3403984750469933 ###### top Share 63.036290719914646 ###### count 63 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### COMPSCI ###### size 32 ###### gpa 3.2951719476979457 ###### top Share 63.07751525075427 ###### count 84 ###### ECE ###### size 32 ###### gpa 3.3387002225789923 ###### top Share 63.627072447149246 ###### count 83.5 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### COMPSCI ###### size 30 ###### gpa 3.3383019285046376 ###### top Share 63.22952984555728 ###### count 108 ###### ECE ###### size 32 ###### gpa 3.4125499296052797 ###### top Share 66.90263468847662 ###### count 85 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ## instructor Trends ```json [ { "uid": "instructor_a0635de9e0867a015d9ba90e", "name": "ROBERT NOWAK", "count": 340, "terms": [ { "term": "1164", "count": 39, "sections": 1, "gpa": 3.576923076923077 }, { "term": "1182", "count": 62, "sections": 1, "gpa": 3.774193548387097 }, { "term": "1192", "count": 95, "sections": 1, "gpa": 3.405263157894737 }, { "term": "1204", "count": 44, "sections": 1, "gpa": 3.75 }, { "term": "1224", "count": 72, "sections": 1, "gpa": 3.6666666666666665 }, { "term": "1234", "count": 28, "sections": 1, "gpa": 3.642857142857143 } ] }, { "uid": "instructor_74e71544cb072def38511b27", "name": "XIAOJIN ZHU", "count": 174, "terms": [ { "term": "1124", "count": 37, "sections": 1, "gpa": 3.5405405405405403 }, { "term": "1134", "count": 25, "sections": 1, "gpa": 3.64 }, { "term": "1144", "count": 32, "sections": 1, "gpa": 3.625 }, { "term": "1154", "count": 37, "sections": 1, "gpa": 3.7162162162162162 }, { "term": "1174", "count": 43, "sections": 1, "gpa": 3.604651162790698 } ] }, { "uid": "instructor_a78a8387914d62f098d9bf26", "name": "RAMYA KORLAKAI VINAYAK", "count": 52, "terms": [ { "term": "1234", "count": 21, "sections": 1, "gpa": 3.5 }, { "term": "1244", "count": 23, "sections": 1, "gpa": 3.739130434782609 }, { "term": "1264", "count": 8, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_34cd6ba336e132d0316631f3", "name": "REBECCA LU", "count": 39, "terms": [ { "term": "1164", "count": 39, "sections": 1, "gpa": 3.576923076923077 } ] }, { "uid": "instructor_c2f40edad07a93567308c9bc", "name": "GRIGORIS CHRYSOS", "count": 39, "terms": [ { "term": "1254", "count": 39, "sections": 1, "gpa": 3.5384615384615383 } ] }, { "uid": "instructor_c7da0e4affd180820e6970b5", "name": "KANG WOOK LEE", "count": 31, "terms": [ { "term": "1204", "count": 31, "sections": 1, "gpa": 3.435483870967742 } ] } ] ``` ## following | code | title | | -------------------- | ------------------------------------------------------- | | COMPSCI/ECE/STAT 861 | THEORETICAL FOUNDATIONS OF MACHINE LEARNING | | ECE 826 | THEORETICAL FOUNDATIONS OF LARGE-SCALE MACHINE LEARNING | | ECON/GENBUS/STAT 775 | BAYESIAN STATISTICS |