# ISYE 562: Human Factors of Data Science and Machine Learning | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ISYE_562) ## 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 23ab0769114771e145276babef3679f5e4800a011872d4f5e93e3aab1026c78f ### course id ISYE 562 ### course uid course\_3c0daa39c5831a0e4f17d052 ### catalog version id 6b1a949d6e1e1cb79fd14933d1f687c6529a704e3916d17fc4f351d3b08ffdc3 ### course number 562 ### subjects * ISYE ### title HUMAN FACTORS OF DATA SCIENCE AND MACHINE LEARNING ### description An examination of the "human side" of data science. Issues of bias, fairness, trust, and understandability. Unique characteristics of behavioral data, such as representative sampling, human adaptation, and grouped data. Practical skills in behavioral data analytics with a focus on important conceptual, design, and ethical issues specific to behavioral data. Survey of machine learning techniques including supervised learning, unsupervised learning, reinforcement learning, deep learning, and text analysis. Methods are contextualized through engineering case studies. ### requirements text (I SY E 210,E C E 331,MATH/​STAT  310,STAT 312, or340), graduate/professional standing, or member of Engineering Guest Students ### credits min 3 ### credits max 3 ### credit offering ids * 1272:490:026299 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 140647d6a09349ccd1677b1a1792da21e18ebef0b55ac52f878881dc11c72551 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ISYE 562 examines the human side of data science, covering bias, fairness, and trust, while surveying machine learning techniques through engineering case studies. ### llm topics * Bias, fairness, trust, and understandability * Behavioral data characteristics * Machine learning techniques * Engineering case studies ### llm skills * Behavioral data analytics and design * Machine learning techniques survey * Ethical and human-centric data science ### llm assumed background * Basic probability, statistics, and regression analysis * Probability theory and random signal analysis * Mathematical statistical inference and estimation * Advanced statistical theory and methods * Data science modeling and statistical computing ### llm search phrases * human factors data science * bias fairness trust data science * behavioral data analytics * machine learning ethics * ISYE 562 course ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 38530f90a6f9c0e3e6da42a970db636ba8ec8620ba5c85597612d8c7b44ad6b7 #### course id ISYE 562 #### current instructors ```json [ { "instructor_uid": "instructor_a62646ec34c23239fa5028fa", "message": "No course-specific reviews available", "name": "Tony McDonald", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:3066992", "summary": [ { "citations": [ { "course_id": "ISYE 562", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "af1e56d9-94a5-31e9-8a9f-dcd26cc4454e", "source_record": { "entity_id": "af1e56d9-94a5-31e9-8a9f-dcd26cc4454e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "ISYE 562", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "af1e56d9-94a5-31e9-8a9f-dcd26cc4454e", "source_record": { "entity_id": "af1e56d9-94a5-31e9-8a9f-dcd26cc4454e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2024: 3.72 GPA, 96.0% A/AB (n=25 letter grades); Spring 2026: 3.89 GPA, 96.9% A/AB (n=65 letter grades)." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 3.72 GPA, 96.0% A/AB (n=25 letter grades); Spring 2025: 3.86 GPA, 90.5% A/AB (n=21 letter grades); Spring 2026: 3.89 GPA, 96.9% A/AB (n=65 letter grades). ```json { "citations": [ { "course_id": "ISYE 562", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "af1e56d9-94a5-31e9-8a9f-dcd26cc4454e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "ISYE 562", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "af1e56d9-94a5-31e9-8a9f-dcd26cc4454e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ISYE 562", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "af1e56d9-94a5-31e9-8a9f-dcd26cc4454e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ANTHONY MCDONALD is recorded teaching in Spring 2024, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ISYE 562", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "af1e56d9-94a5-31e9-8a9f-dcd26cc4454e", "source_record": { "entity_id": "af1e56d9-94a5-31e9-8a9f-dcd26cc4454e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "ISYE 562", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "af1e56d9-94a5-31e9-8a9f-dcd26cc4454e", "source_record": { "entity_id": "af1e56d9-94a5-31e9-8a9f-dcd26cc4454e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3", "n4", "n5" ], "condition": null, "course": null, "evidence": "(I SY E 210,E C E 331,MATH/STAT 310,STAT 312, or340), graduate/professional standing, or member of Engineering Guest Students", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 210, "minimum_grade": null, "subjects": [ "ISYE" ], "timing": "prior" }, "evidence": "I SY E 210", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 331, "minimum_grade": null, "subjects": [ "ECE" ], "timing": "prior" }, "evidence": "E C E 331", "id": "n2", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 310, "minimum_grade": null, "subjects": [ "MATH", "STAT" ], "timing": "prior" }, "evidence": "MATH/STAT 310", "id": "n3", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 312, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 312", "id": "n4", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 340, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "340", "id": "n5", "kind": "course" } ] ``` #### notes * Course node n5 references '340' without subject prefix; linked\_courses confirms STAT 340 is the intended course. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_a62646ec34c23239fa5028fa", "source": "enrollment", "source_instructor_id": "admcdonald", "identity_basis": "netid", "identity_status": "source_identified", "name": "Tony McDonald", "email": "ADMCDONALD@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 2, "quality": 4.5, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:3066992", "source_url": "https://www.ratemyprofessors.com/professor/3066992", "match_basis": "exact_name", "observed_at": "2026-09-07 16:54:29.713177+00:00", "courses": { "course_96ae7077bc3892754fa137e5": { "review_count": 1, "quality": 4, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.7360779850423596, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/TONY_MCDONALD" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:490:026299", "course_id": "ISYE 562", "course_uid": "course_3c0daa39c5831a0e4f17d052", "term_id": "1272", "source_course_id": "026299", "source_subject_id": "490", "title": "Human Factors of Data Science and Machine Learning", "credits_min": 3, "credits_max": 3, "typically_offered": "Not Applicable" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:34967", "term_id": "1272", "source_section_id": "34967", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 60, "enrolled": 43, "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_6d6130084f2657c504044b59", "source": "madgrades", "source_instructor_id": "4595646", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOHN 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": 8, "quality": 3.88, "difficulty": 2.38, "quality_count": 8, "difficulty_count": 8, "profile_id": "rmp:1722365", "source_url": "https://www.ratemyprofessors.com/professor/1722365", "match_basis": "exact_name", "observed_at": "2026-09-07 16:31:26.879985+00:00", "courses": { "course_0bf7d1fc20304def0233e765": { "review_count": 3, "quality": 2.33, "difficulty": 2.67, "quality_count": 3, "difficulty_count": 3 }, "course_9038c4e5acac28da8c19378f": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_465855ee8f77f31be2f79f78": { "review_count": 3, "quality": 4.67, "difficulty": 2.33, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.722632702533282, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.698, "graded": 1400, "counts": [ 880, 297, 166, 31, 18, 6, 2 ], "sections": 116 }, "instructor_url": "/instructors/JOHN_LEE--instructor_6d6130084f2657c504044b59" }, { "instructor_uid": "instructor_0b4458ef6a1b2eb1175bb0ac", "source": "madgrades", "source_instructor_id": "3894278", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANTHONY MCDONALD", "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": 3.755, "graded": 549, "counts": [ 367, 126, 43, 7, 2, 2, 2 ], "sections": 37 }, "instructor_url": "/instructors/ANTHONY_MCDONALD" }, { "instructor_uid": "instructor_a62646ec34c23239fa5028fa", "source": "enrollment", "source_instructor_id": "admcdonald", "identity_basis": "netid", "identity_status": "source_identified", "name": "Tony McDonald", "email": "ADMCDONALD@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 2, "quality": 4.5, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:3066992", "source_url": "https://www.ratemyprofessors.com/professor/3066992", "match_basis": "exact_name", "observed_at": "2026-09-07 16:54:29.713177+00:00", "courses": { "course_96ae7077bc3892754fa137e5": { "review_count": 1, "quality": 4, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.7360779850423596, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/TONY_MCDONALD" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ISYE 562", "course_uid": "course_3c0daa39c5831a0e4f17d052", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "John Lee" ], "a": 35, "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": 51, "source_aliases": [ "ISYE 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ISYE 562", "course_uid": "course_3c0daa39c5831a0e4f17d052", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Tony McDonald" ], "a": 18, "ab": 6, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 1, "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": [ "ISYE 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ISYE 562", "course_uid": "course_3c0daa39c5831a0e4f17d052", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "John Lee" ], "a": 17, "ab": 2, "b": 2, "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": 21, "source_aliases": [ "ISYE 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ISYE 562", "course_uid": "course_3c0daa39c5831a0e4f17d052", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Tony McDonald" ], "a": 57, "ab": 6, "b": 1, "bc": 0, "c": 0, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 65, "source_aliases": [ "ISYE 562" ] } ] ``` ### statistics #### gpa 3.821 #### graded 162 #### counts * 127 * 24 * 8 * 0 * 1 * 1 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_3c0daa39c5831a0e4f17d052-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_3c0daa39c5831a0e4f17d052-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_3c0daa39c5831a0e4f17d052-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_3c0daa39c5831a0e4f17d052-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_3c0daa39c5831a0e4f17d052-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_3c0daa39c5831a0e4f17d052-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_3c0daa39c5831a0e4f17d052-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_3c0daa39c5831a0e4f17d052-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.8209876543209877 #### count 162 #### university ##### size 2701 ##### gpa Percentile 61 ##### count Percentile 66 ##### median Count 104 ##### 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 | 13 | false | | 2.8–3.2 | 172 | false | | 3.2–3.6 | 693 | false | | 3.6–4.0 | 1823 | true | #### departments ```json [ { "subject": "ISYE", "comparison": { "size": 37, "gpaPercentile": 64, "countPercentile": 58, "medianCount": 155, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 25, "current": true } ] } } ] ``` ### terms #### 1234 ##### term 1234 ##### gpa 3.764705882352941 ##### count 51 ##### university ###### size 1188 ###### gpa Percentile 65 ###### count Percentile 37 ###### 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 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "ISYE", "comparison": { "size": 24, "gpaPercentile": 65, "countPercentile": 43, "medianCount": 53, "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": 7, "current": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.72 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | ISYE | | #### 1254 ##### term 1254 ##### gpa 3.857142857142857 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | ISYE | | #### 1264 ##### term 1264 ##### gpa 3.8923076923076922 ##### count 65 ##### university ###### size 1283 ###### gpa Percentile 78 ###### count Percentile 48 ###### 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 | false | | 3.6–4.0 | 789 | true | ##### departments ```json [ { "subject": "ISYE", "comparison": { "size": 22, "gpaPercentile": 71, "countPercentile": 67, "medianCount": 56.5, "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": 2, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 2701 ###### gpa 3.6818072807746525 ###### top Share 83.341103666219 ###### count 104 ##### ISYE ###### size 37 ###### gpa 3.694053798432375 ###### top Share 84.38186716804724 ###### count 155 #### terms ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### ISYE ###### size 24 ###### gpa 3.6495043911288954 ###### top Share 80.48020872988452 ###### count 53 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### ISYE ###### size 21 ###### gpa 3.5955893406830746 ###### top Share 77.54199035575564 ###### count 55 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### ISYE ###### size 22 ###### gpa 3.6580253054677003 ###### top Share 83.06204049789541 ###### count 58 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### ISYE ###### size 22 ###### gpa 3.691810114676891 ###### top Share 83.93896862155151 ###### count 56.5 ## instructor Trends ```json [ { "uid": "instructor_0b4458ef6a1b2eb1175bb0ac", "name": "ANTHONY MCDONALD", "count": 90, "terms": [ { "term": "1244", "count": 25, "sections": 1, "gpa": 3.72 }, { "term": "1264", "count": 65, "sections": 1, "gpa": 3.8923076923076922 } ] }, { "uid": "instructor_6d6130084f2657c504044b59", "name": "JOHN LEE", "count": 72, "terms": [ { "term": "1234", "count": 51, "sections": 1, "gpa": 3.764705882352941 }, { "term": "1254", "count": 21, "sections": 1, "gpa": 3.857142857142857 } ] } ] ``` ## following | code | title | | ------------ | ---------------------------- | | ECE/ISYE 570 | ETHICS OF DATA FOR ENGINEERS |