# COMPSCI/ECE/ME 539: Introduction to Artificial Neural Networks | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_ECE_ME_539) ## 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 3a19e91d6cd45da777979ea8388717206aef60ac9635713599035a45c1031533 ### course id COMPSCI/ECE/ME 539 ### course uid course\_013300c17c3a4f3c90089d51 ### catalog version id 7812d0e411b571061072f330d97f3f7a2b7204770f6c8298e54dbc66cd097cb2 ### course number 539 ### subjects * COMPSCI * ECE * ME ### title INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS ### description Theory and applications of artificial neural networks: multi-layer perceptron, self-organization mapdeep neural network convolutional neural network, recurrent network, support vector machines genetic algorithm, and evolution computing. Applications to control, pattern recognition, prediction, and object detection and tracking. ### requirements text COMP SCI 200,220,300, 301, 302,310, placement intoCOMP SCI 300, or graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:266:006422 * 1272:320:006422 * 1272:612:006422 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id bcdb48aeff1207dbf8e3257d8f31f51e07233741d3047965d80da54011c914de ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduction to artificial neural networks and their applications in control, pattern recognition, and prediction. ### llm topics * Neural network architectures * Support vector machines, genetic algorithms, and evolution computing * Applications in control, pattern recognition, prediction, and tracking ### llm skills * Theory and application of artificial neural networks and related AI techniques * Applying AI models to control, pattern recognition, prediction, and tracking ### llm assumed background * Basic programming fundamentals and problem-solving techniques * Data science programming with Python * Object-oriented programming and data structures * Computer and analytical problem-solving skills ### llm search phrases * artificial neural networks applications * deep learning control pattern recognition * multi-layer perceptron support vector machines * evolution computing object detection ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash a2c8bda81272588dae3784d4558c52ce32b5100c156af67ff374794b22297805 #### course id COMPSCI/ECE/ME 539 #### current instructors ```json [ { "instructor_uid": "instructor_ef4eca2c8776df8035290b58", "message": "No course-specific reviews available", "name": "Ting-Hung Lin", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload Historical reviews of Kangwook Lee, Pedro Morgado, Yu Hen Hu: The course is consistently described as difficult with a heavy workload, including extensive homework, group projects, and dense theoretical content requiring strong math backgrounds. ```json { "citations": [ { "instructor_name": "Yu Hen Hu", "review_date": "2020-11-09 14:46:02 +0000 UTC", "review_id": "cdd24df03c173997c8001d5b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1202050", "source_review_id": "UmF0aW5nLTMzNzg2NTMz", "source_url": "https://www.ratemyprofessors.com/professor/1202050", "type": "review" }, { "instructor_name": "Yu Hen Hu", "review_date": "2021-12-21 02:06:04 +0000 UTC", "review_id": "55713787ff3d0637e72a82f3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1202050", "source_review_id": "UmF0aW5nLTM1NjE0NDQw", "source_url": "https://www.ratemyprofessors.com/professor/1202050", "type": "review" }, { "instructor_name": "Pedro Morgado", "review_date": "2023-12-28 03:26:52 +0000 UTC", "review_id": "3bc7cf7ee5b8ea262d70cc0a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2879084", "source_review_id": "UmF0aW5nLTM4ODAyNTY3", "source_url": "https://www.ratemyprofessors.com/professor/2879084", "type": "review" }, { "instructor_name": "Kangwook Lee", "review_date": "2025-01-20 05:39:44 +0000 UTC", "review_id": "c2570f7894554d4ec7277977", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2517429", "source_review_id": "UmF0aW5nLTQwNTc1Mzcx", "source_url": "https://www.ratemyprofessors.com/professor/2517429", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Yu Hen Hu: Yu Hen Hu is described as kind and willing to listen to feedback, but his teaching style is heavily criticized for reading slides and lacking clear explanations. Reviewers report that the course content is dense and difficult, with confusing materials and a final exam that is excessively long and error-prone. Many students found the assignments unmotivating and the grading harsh, leading to poor learning outcomes. ```json { "citations": [ { "instructor_name": "Yu Hen Hu", "review_date": "2020-11-09 14:46:02 +0000 UTC", "review_id": "cdd24df03c173997c8001d5b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1202050", "source_review_id": "UmF0aW5nLTMzNzg2NTMz", "source_url": "https://www.ratemyprofessors.com/professor/1202050", "type": "review" }, { "instructor_name": "Yu Hen Hu", "review_date": "2021-12-21 02:06:04 +0000 UTC", "review_id": "55713787ff3d0637e72a82f3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1202050", "source_review_id": "UmF0aW5nLTM1NjE0NDQw", "source_url": "https://www.ratemyprofessors.com/professor/1202050", "type": "review" }, { "instructor_name": "Yu Hen Hu", "review_date": "2022-01-02 17:40:22 +0000 UTC", "review_id": "b4db4aca3aa798d9a6bd5443", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1202050", "source_review_id": "UmF0aW5nLTM1Njg2ODU5", "source_url": "https://www.ratemyprofessors.com/professor/1202050", "type": "review" }, { "instructor_name": "Yu Hen Hu", "review_date": "2022-10-14 01:56:09 +0000 UTC", "review_id": "a87b561613d1530e3011ac83", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1202050", "source_review_id": "UmF0aW5nLTM2NzAwNDI3", "source_url": "https://www.ratemyprofessors.com/professor/1202050", "type": "review" }, { "instructor_name": "Yu Hen Hu", "review_date": "2022-12-12 05:35:21 +0000 UTC", "review_id": "81af9ba73b22d9f9d8e9113e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1202050", "source_review_id": "UmF0aW5nLTM3MDc3Mzg3", "source_url": "https://www.ratemyprofessors.com/professor/1202050", "type": "review" }, { "instructor_name": "Yu Hen Hu", "review_date": "2023-12-15 22:33:47 +0000 UTC", "review_id": "c7a7a10aa38e5eceab905f49", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1202050", "source_review_id": "UmF0aW5nLTM4Njk3MzM5", "source_url": "https://www.ratemyprofessors.com/professor/1202050", "type": "review" }, { "instructor_name": "Yu Hen Hu", "review_date": "2025-06-30 18:43:56 +0000 UTC", "review_id": "6fc3de5adb1ebe9bdf311c66", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1202050", "source_review_id": "UmF0aW5nLTQxNDcyNDU0", "source_url": "https://www.ratemyprofessors.com/professor/1202050", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews for Pedro Morgado highlight his approachability and interesting lectures, though the flipped classroom format and heavy workload are noted concerns. ```json { "citations": [ { "instructor_name": "Pedro Morgado", "review_date": "2023-12-28 03:26:52 +0000 UTC", "review_id": "3bc7cf7ee5b8ea262d70cc0a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2879084", "source_review_id": "UmF0aW5nLTM4ODAyNTY3", "source_url": "https://www.ratemyprofessors.com/professor/2879084", "type": "review" }, { "instructor_name": "Pedro Morgado", "review_date": "2025-04-29 19:55:13 +0000 UTC", "review_id": "b6a0c1c684553b41842da548", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2879084", "source_review_id": "UmF0aW5nLTQxMDg5NTIy", "source_url": "https://www.ratemyprofessors.com/professor/2879084", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.62 GPA, 84.1% A/AB (n=88 letter grades); Fall 2025: 3.57 GPA, 73.2% A/AB (n=82 letter grades); Spring 2026: 3.23 GPA, 57.1% A/AB (n=35 letter grades). ```json { "citations": [ { "course_id": "COMPSCI/ECE/ME 539", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 539", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 539", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Kangwook Lee, Yu Hen Hu: Students report frustration with unclear lectures, excessive theory over implementation, and poor exam design, particularly under Yu Hen Hu and Kangwook Lee. ```json { "citations": [ { "instructor_name": "Yu Hen Hu", "review_date": "2022-10-14 01:56:09 +0000 UTC", "review_id": "a87b561613d1530e3011ac83", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1202050", "source_review_id": "UmF0aW5nLTM2NzAwNDI3", "source_url": "https://www.ratemyprofessors.com/professor/1202050", "type": "review" }, { "instructor_name": "Yu Hen Hu", "review_date": "2022-12-12 05:35:21 +0000 UTC", "review_id": "81af9ba73b22d9f9d8e9113e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1202050", "source_review_id": "UmF0aW5nLTM3MDc3Mzg3", "source_url": "https://www.ratemyprofessors.com/professor/1202050", "type": "review" }, { "instructor_name": "Kangwook Lee", "review_date": "2024-12-23 20:31:22 +0000 UTC", "review_id": "c3130dbe8045e17e944b1330", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2517429", "source_review_id": "UmF0aW5nLTQwNDI0OTc0", "source_url": "https://www.ratemyprofessors.com/professor/2517429", "type": "review" }, { "instructor_name": "Kangwook Lee", "review_date": "2025-01-20 05:39:44 +0000 UTC", "review_id": "c2570f7894554d4ec7277977", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2517429", "source_review_id": "UmF0aW5nLTQwNTc1Mzcx", "source_url": "https://www.ratemyprofessors.com/professor/2517429", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history PEDRO MARAVILHA MORGADO is recorded teaching in Fall 2023, Spring 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/ECE/ME 539", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "source_record": { "entity_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 539", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "source_record": { "entity_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" } ] } ``` YU HU is recorded teaching in Fall 2008, Fall 2010, Fall 2013, Spring 2016, Fall 2017, Fall 2018, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/ECE/ME 539", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "source_record": { "entity_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1092", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 539", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "source_record": { "entity_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 539", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "source_record": { "entity_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 539", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "source_record": { "entity_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 539", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "source_record": { "entity_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", 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"run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "source_record": { "entity_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 539", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "source_record": { "entity_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 539", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "source_record": { "entity_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI/ECE/ME 539", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "source_record": { "entity_id": "d400bbfd-2b11-3025-b923-4bf1796a9d12", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3", "n4", "n5", "n6", "n7", "n8" ], "condition": null, "course": null, "evidence": "COMP SCI 200,220,300, 301, 302,310, placement intoCOMP SCI 300, or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 200, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "COMP SCI 200", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 220, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "220", "id": "n2", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "300", "id": "n3", "kind": "course" }, { "children": [], "condition": "301", "course": null, "evidence": "301", "id": "n4", "kind": "condition" }, { "children": [], "condition": "302", "course": null, "evidence": "302", "id": "n5", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 310, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "310", "id": "n6", "kind": "course" }, { "children": [], "condition": "placement intoCOMP SCI 300", "course": null, "evidence": "placement intoCOMP SCI 300", "id": "n7", "kind": "condition" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n8", "kind": "condition" } ] ``` #### notes * COMP SCI 301 and 302 are mentioned in requirements\_text but not present in linked\_courses. Preserved as verbatim condition nodes requiring review. #### root n0 #### status needs\_review ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ------------- | ---------------- | -------------------------------- | -------------------------------- | --------------------------- | | instructor\_ef4eca2c8776df8035290b58 | enrollment | tlin89 | netid | source\_identified | Ting-Hung Lin | TLIN89\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/TING-HUNG\_LIN | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:266:006422", "course_id": "COMPSCI/ECE/ME 539", "course_uid": "course_013300c17c3a4f3c90089d51", "term_id": "1272", "source_course_id": "006422", "source_subject_id": "266", "title": "Introduction to Artificial Neural Networks", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:320:006422", "course_id": "COMPSCI/ECE/ME 539", "course_uid": "course_013300c17c3a4f3c90089d51", "term_id": "1272", "source_course_id": "006422", "source_subject_id": "320", "title": "Introduction to Artificial Neural Networks", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:612:006422", "course_id": "COMPSCI/ECE/ME 539", "course_uid": "course_013300c17c3a4f3c90089d51", "term_id": "1272", "source_course_id": "006422", "source_subject_id": "612", "title": "Introduction to Artificial Neural Networks", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:21292", "term_id": "1272", "source_section_id": "21292", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 130, "enrolled": 81, "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:1272:21200", "term_id": "1272", "source_section_id": "21200", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 130, "enrolled": 21, "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:1272:21293", "term_id": "1272", "source_section_id": "21293", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 80, "enrolled": 7, "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_08573dd5525332150a039cef", "source": "madgrades", "source_instructor_id": "2601961", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YU HU", "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": 3.136, "graded": 2227, "counts": [ 506, 568, 608, 332, 141, 35, 37 ], "sections": 198 }, "instructor_url": "/instructors/YU_HU" }, { 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"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, 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Morgado", "YU HU" ], "a": 25, "ab": 43, "b": 27, "bc": 9, "c": 0, "d": 1, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 108, "source_aliases": [ "COMPSCI/ECE/ME 539" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE/ME 539", "course_uid": "course_013300c17c3a4f3c90089d51", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "YU HU" ], "a": 11, "ab": 22, "b": 18, "bc": 17, "c": 2, "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": 70, "source_aliases": [ "COMPSCI/ECE/ME 539" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE/ME 539", "course_uid": "course_013300c17c3a4f3c90089d51", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "KANG WOOK LEE" ], "a": 25, "ab": 29, "b": 19, "bc": 6, "c": 2, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 1, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 84, "source_aliases": [ "COMPSCI/ECE/ME 539" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE/ME 539", "course_uid": "course_013300c17c3a4f3c90089d51", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Pedro Maravilha Morgado" ], "a": 39, "ab": 35, "b": 11, "bc": 3, "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": 89, "source_aliases": [ "COMPSCI/ECE/ME 539" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE/ME 539", "course_uid": "course_013300c17c3a4f3c90089d51", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "ZHI WANG" ], "a": 45, "ab": 15, "b": 12, "bc": 9, "c": 1, "d": 0, "f": 0, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 85, "source_aliases": [ "COMPSCI/ECE/ME 539" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE/ME 539", "course_uid": "course_013300c17c3a4f3c90089d51", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "WILLEM MARAIS" ], "a": 8, "ab": 12, "b": 6, "bc": 6, "c": 3, "d": 0, "f": 0, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 38, "source_aliases": [ "COMPSCI/ECE/ME 539" ] } ] ``` ### statistics #### gpa 3.334 #### graded 1030 #### counts * 282 * 356 * 262 * 86 * 26 * 7 * 11 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_013300c17c3a4f3c90089d51-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_013300c17c3a4f3c90089d51-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_013300c17c3a4f3c90089d51-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_013300c17c3a4f3c90089d51-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_013300c17c3a4f3c90089d51-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_013300c17c3a4f3c90089d51-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_013300c17c3a4f3c90089d51-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_013300c17c3a4f3c90089d51-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_013300c17c3a4f3c90089d51-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_013300c17c3a4f3c90089d51-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.333980582524272 #### count 1030 #### university ##### size 5097 ##### gpa Percentile 12 ##### count Percentile 90 ##### median Count 153 ##### 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 | 12 | false | | 2.8–3.2 | 295 | false | | 3.2–3.6 | 1326 | true | | 3.6–4.0 | 3463 | false | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 108, "gpaPercentile": 21, "countPercentile": 72, "medianCount": 365, "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": 13, "current": false }, { "range": "3.2–3.6", "count": 35, "current": true }, { "range": "3.6–4.0", "count": 60, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 126, "gpaPercentile": 17, "countPercentile": 82, "medianCount": 196.5, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 50, "current": true }, { "range": "3.6–4.0", "count": 69, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 85, "gpaPercentile": 11, "countPercentile": 81, "medianCount": 181, "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": 34, "current": true }, { "range": "3.6–4.0", "count": 45, "current": false } ] } } ] ``` ### terms #### 1092 ##### term 1092 ##### gpa 3.263157894736842 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | | ME | | #### 1112 ##### term 1112 ##### gpa 3.196969696969697 ##### count 33 ##### university ###### size 805 ###### gpa Percentile 32 ###### count Percentile 7 ###### 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 | 45 | false | | 2.8–3.2 | 218 | true | | 3.2–3.6 | 316 | false | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 27, "gpaPercentile": 38, "countPercentile": 12, "medianCount": 41, "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": 10, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 27, "gpaPercentile": 58, "countPercentile": 12, "medianCount": 42, "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": 14, "current": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 24, "gpaPercentile": 57, "countPercentile": 4, "medianCount": 50.5, "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": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.015151515151515 ##### count 33 ##### university ###### size 853 ###### gpa Percentile 16 ###### count Percentile 6 ###### 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 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | true | | 3.2–3.6 | 320 | false | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 28, "gpaPercentile": 19, "countPercentile": 7, "medianCount": 47.5, "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": 13, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 34, "gpaPercentile": 24, "countPercentile": 3, "medianCount": 60, "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": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 22, "gpaPercentile": 29, "countPercentile": 5, "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": 12, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 2.9761904761904763 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | | ME | | #### 1182 ##### term 1182 ##### gpa 3.0892857142857144 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | | ME | | #### 1192 ##### term 1192 ##### gpa 3.4107142857142856 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | | ME | | #### 1212 ##### term 1212 ##### gpa 3.4842105263157896 ##### count 95 ##### university ###### size 1111 ###### gpa Percentile 35 ###### count Percentile 64 ###### 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 | true | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 42, "gpaPercentile": 54, "countPercentile": 49, "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": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 41, "gpaPercentile": 45, "countPercentile": 60, "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": true }, { "range": "3.6–4.0", "count": 17, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 23, "gpaPercentile": 45, "countPercentile": 45, "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": true }, { "range": "3.6–4.0", "count": 10, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.3472222222222223 ##### count 72 ##### university ###### size 1157 ###### gpa Percentile 26 ###### count Percentile 53 ###### 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 | true | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 49, "countPercentile": 38, "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": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 41, "gpaPercentile": 33, "countPercentile": 53, "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": true }, { "range": "3.6–4.0", "count": 16, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 28, "gpaPercentile": 26, "countPercentile": 52, "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": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.2736842105263158 ##### count 95 ##### university ###### size 1171 ###### gpa Percentile 21 ###### count Percentile 67 ###### 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": 32, "countPercentile": 45, "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": 24, "countPercentile": 67, "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": 22, "countPercentile": 48, "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 3.23943661971831 ##### count 71 ##### university ###### size 1216 ###### gpa Percentile 18 ###### count Percentile 52 ###### 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": 18, "countPercentile": 41, "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": 26, "countPercentile": 51, "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": 17, "countPercentile": 38, "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 3.2785714285714285 ##### count 70 ##### university ###### size 1188 ###### gpa Percentile 20 ###### count Percentile 53 ###### 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": 31, "countPercentile": 36, "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": 23, "countPercentile": 50, "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": 24, "countPercentile": 36, "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 3.317757009345794 ##### count 107 ##### university ###### size 1295 ###### gpa Percentile 21 ###### count Percentile 70 ###### 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": 31, "countPercentile": 53, "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": 30, "countPercentile": 68, "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": 23, "countPercentile": 50, "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 3.164285714285714 ##### count 70 ##### university ###### size 1241 ###### gpa Percentile 11 ###### count Percentile 53 ###### 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 | true | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 20, "countPercentile": 24, "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": true }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 18, "current": false } ] } }, { "subject": "ECE", "comparison": { "size": 38, "gpaPercentile": 11, "countPercentile": 41, "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": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 18, "current": false } ] } }, { "subject": "ME", "comparison": { "size": 27, "gpaPercentile": 8, "countPercentile": 38, "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": true }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.355421686746988 ##### count 83 ##### university ###### size 1333 ###### gpa Percentile 19 ###### count Percentile 58 ###### 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": 30, "countPercentile": 45, "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": 23, "countPercentile": 60, "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": 22, "countPercentile": 44, "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 3.625 ##### count 88 ##### university ###### size 1289 ###### gpa Percentile 44 ###### count Percentile 63 ###### 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 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 52, "gpaPercentile": 69, "countPercentile": 39, "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": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 40, "gpaPercentile": 67, "countPercentile": 51, "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": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } }, { "subject": "ME", "comparison": { "size": 28, "gpaPercentile": 41, "countPercentile": 37, "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": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.573170731707317 ##### count 82 ##### university ###### size 1320 ###### gpa Percentile 37 ###### count Percentile 56 ###### 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": 54, "countPercentile": 50, "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": 58, "countPercentile": 50, "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": 57, "countPercentile": 43, "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 3.2285714285714286 ##### count 35 ##### university ###### size 1283 ###### gpa Percentile 13 ###### count Percentile 10 ###### 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": 19, "countPercentile": 6, "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": 16, "countPercentile": 11, "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": 25, "countPercentile": 4, "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 5097 ###### gpa 3.686859065291317 ###### top Share 83.50339629456309 ###### count 153 ##### COMPSCI ###### size 108 ###### gpa 3.594225872718068 ###### top Share 78.93300471315257 ###### count 365 ##### ECE ###### size 126 ###### gpa 3.60270394603484 ###### top Share 78.64067406444549 ###### count 196.5 ##### ME ###### size 85 ###### gpa 3.6126269635201265 ###### top Share 78.87541867564501 ###### count 181 #### terms ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### COMPSCI ###### size 16 ###### gpa 3.14888347660136 ###### top Share 52.49548911325188 ###### count 66.5 ###### ECE ###### size 18 ###### gpa 3.260010533524362 ###### top Share 55.57892737058536 ###### count 46.5 ###### ME ###### size 17 ###### gpa 3.2438208716751173 ###### top Share 55.650195662733246 ###### count 76 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### COMPSCI ###### size 27 ###### gpa 3.2907039795974518 ###### top Share 61.485726181424475 ###### count 41 ###### ECE ###### size 27 ###### gpa 3.2587548172943666 ###### top Share 57.4110194229183 ###### count 42 ###### ME ###### size 24 ###### gpa 3.2764146127585967 ###### top Share 58.09996846831107 ###### count 50.5 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### COMPSCI ###### size 28 ###### gpa 3.279575360328891 ###### top Share 60.13197427273153 ###### count 47.5 ###### ECE ###### size 34 ###### gpa 3.308741102061444 ###### top Share 59.724830536617226 ###### count 60 ###### ME ###### size 22 ###### gpa 3.2509223940390553 ###### top Share 56.81144579867853 ###### count 73.5 ##### 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 ###### ME ###### size 20 ###### gpa 3.3362830671058554 ###### top Share 61.64619678303988 ###### count 88.5 ##### 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 ##### 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_08573dd5525332150a039cef", "name": "YU HU", "count": 679, "terms": [ { "term": "1092", "count": 19, "sections": 1, "gpa": 3.263157894736842 }, { "term": "1112", "count": 33, "sections": 1, "gpa": 3.196969696969697 }, { "term": "1142", "count": 33, "sections": 1, "gpa": 3.015151515151515 }, { "term": "1164", "count": 21, "sections": 1, "gpa": 2.9761904761904763 }, { "term": "1182", "count": 28, "sections": 1, "gpa": 3.0892857142857144 }, { "term": "1192", "count": 28, "sections": 1, "gpa": 3.4107142857142856 }, { "term": "1212", "count": 95, "sections": 2, "gpa": 3.4842105263157896 }, { "term": "1222", "count": 72, "sections": 1, "gpa": 3.3472222222222223 }, { "term": "1224", "count": 95, "sections": 1, "gpa": 3.2736842105263158 }, { "term": "1232", "count": 71, "sections": 1, "gpa": 3.23943661971831 }, { "term": "1234", "count": 70, "sections": 1, "gpa": 3.2785714285714285 }, { "term": "1242", "count": 44, "sections": 1, "gpa": 3.102272727272727 }, { "term": "1244", "count": 70, "sections": 1, "gpa": 3.164285714285714 } ] }, { "uid": "instructor_05424d60e31f458b44af80eb", "name": "PEDRO MARAVILHA MORGADO", "count": 151, "terms": [ { "term": "1242", "count": 63, "sections": 1, "gpa": 3.4682539682539684 }, { "term": "1254", "count": 88, "sections": 1, "gpa": 3.625 } ] }, { "uid": "instructor_c7da0e4affd180820e6970b5", "name": "KANG WOOK LEE", "count": 83, "terms": [ { "term": "1252", "count": 83, "sections": 1, "gpa": 3.355421686746988 } ] }, { "uid": "instructor_2daffbf12602e5010664effa", "name": "ZHI WANG", "count": 82, "terms": [ { "term": "1262", "count": 82, "sections": 1, "gpa": 3.573170731707317 } ] }, { "uid": "instructor_707be01a11e75762548724dd", "name": "WILLEM MARAIS", "count": 35, "terms": [ { "term": "1264", "count": 35, "sections": 1, "gpa": 3.2285714285714286 } ] } ] ``` ## following | code | title | | ------------ | ---------------------------- | | ECE/ISYE 570 | ETHICS OF DATA FOR ENGINEERS | ## projection ### target 1272 ### interval #### lower 3.16 #### upper 3.63 #### coverage 80 #### terms 4 ### gpa 3.3943617142444706 ### grades | grade | percentage | | ----- | ------------------ | | A | 31.81224331243514 | | AB | 33.60905639008268 | | B | 22.957163436575716 | | BC | 8.381528762005724 | | C | 2.1327664976578844 | | D | 0.4646555993599007 | | F | 0.6425860018829538 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 415 ### same Season true ### historical Range * 3.23943661971831 * 3.573170731707317 ### backtest #### terms 4 #### gpa Error 0.10330726449033956 #### mix Error 19.409989549163036