# MS\&E 401: Special Topics in Materials Science and Engineering | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MS%26E_401) ## 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 93084d8c75d535df97951c607aff97299193d0906db4ebd8c1dd29f7cd9ba4b6 ### course id MS\&E 401 ### course uid course\_4241502a67af1714c336f864 ### catalog version id 9699cc14e700e52385a43394693b6d60802c25034e189d61b7ce4092e4846980 ### course number 401 ### subjects * MS\&E ### title SPECIAL TOPICS IN MATERIALS SCIENCE AND ENGINEERING ### description Special topics of interest to students in materials science and engineering. ### requirements text M S & E 350,351, or graduate/professional standing ### credits min 1 ### credits max 3 ### credit offering ids * 1272:636:012638 * 1272:636:012638.45 * 1272:636:012638.52 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id b0b57613bc2b5fa4af5944cc46c1eecc0e1c707be636d0c20f1772857ea48bfd ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MS\&E 401 covers special topics in materials science and engineering. ### llm topics None recorded. ### llm skills None recorded. ### llm assumed background * Prerequisite coursework in chemistry (CHEM 103, 109, or 115) and mathematics (MATH 222 for MS\&E 351). * Foundational knowledge in materials science, including material structures, properties, and selection. ### llm search phrases * MS\&E 401 special topics materials science * MS\&E 401 prerequisites * materials science and engineering advanced topics ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash d637867b6120711646613be1d6e7f56357ef91ff9d7042fcdc4fedee520755c2 #### course id MS\&E 401 #### current instructors ```json [ { "instructor_uid": "instructor_0166b55a54c2c724a29d8373", "message": "No course-specific reviews available", "name": "Dylan Barber", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] }, { "instructor_uid": "instructor_6d2be15bdff9c274c2b93a0b", "message": "No course-specific reviews available", "name": "Hyunseok Oh", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "MS&E 401", "run_id": "20260907T155543-ce3781c4", "section_number": 45, "source_course_id": "e6e1d506-3790-3a61-b250-f4403660af15", "source_record": { "entity_id": "e6e1d506-3790-3a61-b250-f4403660af15", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MS&E 401", "run_id": "20260907T155543-ce3781c4", "section_number": 45, "source_course_id": "e6e1d506-3790-3a61-b250-f4403660af15", "source_record": { "entity_id": "e6e1d506-3790-3a61-b250-f4403660af15", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MS&E 401", "run_id": "20260907T155543-ce3781c4", "section_number": 45, "source_course_id": "e6e1d506-3790-3a61-b250-f4403660af15", "source_record": { "entity_id": "e6e1d506-3790-3a61-b250-f4403660af15", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.81 GPA, 87.5% A/AB (n=8 letter grades); Fall 2024: 3.81 GPA, 87.5% A/AB (n=8 letter grades); Fall 2025: 3.79 GPA, 100.0% A/AB (n=12 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 2025: 3.88 GPA, 94.2% A/AB (n=86 letter grades); Fall 2025: 3.84 GPA, 100.0% A/AB (n=29 letter grades); Spring 2026: 3.83 GPA, 94.9% A/AB (n=39 letter grades). ```json { "citations": [ { "course_id": "MS&E 401", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e6e1d506-3790-3a61-b250-f4403660af15", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MS&E 401", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e6e1d506-3790-3a61-b250-f4403660af15", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MS&E 401", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e6e1d506-3790-3a61-b250-f4403660af15", "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 HYUNSEOK OH is recorded teaching in Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MS&E 401", "run_id": "20260907T155543-ce3781c4", "section_number": 45, "source_course_id": "e6e1d506-3790-3a61-b250-f4403660af15", "source_record": { "entity_id": "e6e1d506-3790-3a61-b250-f4403660af15", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MS&E 401", "run_id": "20260907T155543-ce3781c4", "section_number": 45, "source_course_id": "e6e1d506-3790-3a61-b250-f4403660af15", "source_record": { "entity_id": "e6e1d506-3790-3a61-b250-f4403660af15", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MS&E 401", "run_id": "20260907T155543-ce3781c4", "section_number": 45, "source_course_id": "e6e1d506-3790-3a61-b250-f4403660af15", "source_record": { "entity_id": "e6e1d506-3790-3a61-b250-f4403660af15", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "M S & E 350,351, or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 350, "minimum_grade": null, "subjects": [ "MS&E" ], "timing": "prior" }, "evidence": "M S & E 350", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 351, "minimum_grade": null, "subjects": [ "MS&E" ], "timing": "prior" }, "evidence": "351", "id": "n2", "kind": "course" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n3", "kind": "condition" } ] ``` #### notes * The requirement text lists MS\&E 350, MS\&E 351, or graduate/professional standing as alternatives. * MS\&E 350 and MS\&E 351 are linked courses from the main course description. * graduate/professional standing is a condition. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ------------ | --------------------- | -------------------------------- | -------------------------------- | -------------------------- | | instructor\_0166b55a54c2c724a29d8373 | enrollment | dmbarber | netid | source\_identified | Dylan Barber | DMBARBER\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/DYLAN\_BARBER | | instructor\_6d2be15bdff9c274c2b93a0b | enrollment | hoh73 | netid | source\_identified | Hyunseok Oh | HYUNSEOK.OH\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/HYUNSEOK\_OH | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:636:012638", "course_id": "MS&E 401", "course_uid": "course_4241502a67af1714c336f864", "term_id": "1272", "source_course_id": "012638", "source_subject_id": "636", "title": "Special Topics in Materials Science and Engineering", "credits_min": 1, "credits_max": 3, "typically_offered": "Fall, Spring, Summer" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:636:012638.45", "course_id": "MS&E 401", "course_uid": "course_4241502a67af1714c336f864", "term_id": "1272", "source_course_id": "012638.45", "source_subject_id": "636", "title": "Alloy Design", "credits_min": 1, "credits_max": 3, "typically_offered": "Fall, Spring, Summer" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:636:012638.52", "course_id": "MS&E 401", "course_uid": "course_4241502a67af1714c336f864", "term_id": "1272", "source_course_id": "012638.52", "source_subject_id": "636", "title": "Polymer Mechanics and Dynamics", "credits_min": 1, "credits_max": 3, "typically_offered": "Fall, Spring, Summer" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:27837", "term_id": "1272", "source_section_id": "27837", "identity_basis": "class_number", "section_number": "045", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 35, "enrolled": 6, "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:1272:35865", "term_id": "1272", "source_section_id": "35865", "identity_basis": "class_number", "section_number": "052", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 46, "enrolled": 4, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_4c77701327c6ac114ac5b25f", "source": "madgrades", "source_instructor_id": "3671537", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PADMA GOPALAN", "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": 7, "quality": 3.14, "difficulty": 3.71, "quality_count": 7, "difficulty_count": 7, "profile_id": "rmp:1080919", "source_url": "https://www.ratemyprofessors.com/professor/1080919", "match_basis": "exact_name", "observed_at": "2026-09-07 16:12:57.311517+00:00", "courses": {}, "bayesian_quality": 3.5249524322567374, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.375, "graded": 1038, "counts": [ 289, 391, 243, 72, 31, 8, 4 ], "sections": 238 }, "instructor_url": "/instructors/PADMA_GOPALAN--instructor_4c77701327c6ac114ac5b25f" }, { "instructor_uid": "instructor_d5bed9e0e3e7e6e10ac83b63", "source": "madgrades", "source_instructor_id": "3949360", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DANE MORGAN", "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": 3.823, "graded": 1136, "counts": [ 885, 149, 72, 22, 5, 0, 3 ], "sections": 196 }, "instructor_url": "/instructors/DANE_MORGAN--instructor_d5bed9e0e3e7e6e10ac83b63" }, { "instructor_uid": "instructor_07eaee3c07b5877ec724c554", "source": "madgrades", "source_instructor_id": "2601578", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DONALD STONE", "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": 12, "quality": 2.58, "difficulty": 3, "quality_count": 12, "difficulty_count": 12, "profile_id": "rmp:1853654", "source_url": "https://www.ratemyprofessors.com/professor/1853654", "match_basis": "exact_name", "observed_at": "2026-09-07 16:43:20.846941+00:00", "courses": {}, "bayesian_quality": 3.2548036147166224, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.689, "graded": 1289, "counts": [ 792, 279, 169, 31, 12, 2, 4 ], "sections": 160 }, "instructor_url": "/instructors/DONALD_STONE--instructor_07eaee3c07b5877ec724c554" }, { "instructor_uid": "instructor_61cfce01615cf68f9ceda84b", "source": "madgrades", "source_instructor_id": "2600213", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SUSAN BABCOCK", "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": 3.49, "graded": 1872, "counts": [ 943, 302, 406, 145, 55, 14, 7 ], "sections": 84 }, "instructor_url": "/instructors/SUSAN_BABCOCK--instructor_61cfce01615cf68f9ceda84b" }, { "instructor_uid": "instructor_6c19e520f06cec6996b97ac6", "source": "madgrades", "source_instructor_id": "646285", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SINN-WEN CHEN", "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": 3.727, "graded": 11, "counts": [ 6, 4, 1, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/SINN-WEN_CHEN" }, { "instructor_uid": "instructor_b2ff59b42541feec178a34ec", "source": "madgrades", "source_instructor_id": "2601450", "identity_basis": "source_id", "identity_status": "source_identified", "name": "THOMAS F KUECH", "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": 2.739, "graded": 308, "counts": [ 27, 57, 88, 52, 62, 18, 4 ], "sections": 69 }, "instructor_url": "/instructors/THOMAS_F_KUECH" }, { "instructor_uid": "instructor_f71aa509dc99ec990d539779", "source": "madgrades", "source_instructor_id": "4395492", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JON MCCARTHY", "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": 3.6, "graded": 25, "counts": [ 9, 12, 4, 0, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/JON_MCCARTHY--instructor_f71aa509dc99ec990d539779" }, { "instructor_uid": "instructor_8c7a9b43f3f236f941f1d0ff", "source": "madgrades", "source_instructor_id": "4256631", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JEFFREY MASON", "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": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:2127353", "source_url": "https://www.ratemyprofessors.com/professor/2127353", "match_basis": "exact_name", "observed_at": "2026-09-07 16:33:39.680554+00:00", "courses": {}, "bayesian_quality": 3.7235102700443767, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.882, "graded": 34, "counts": [ 30, 2, 1, 0, 1, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/JEFFREY_MASON--instructor_8c7a9b43f3f236f941f1d0ff" }, { "instructor_uid": "instructor_9cf0b4efd2d27d98d7577825", "source": "madgrades", "source_instructor_id": "6092036", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DARYL CRAWMER", "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": 3.614, "graded": 22, "counts": [ 7, 13, 2, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/DARYL_CRAWMER--instructor_9cf0b4efd2d27d98d7577825" }, { "instructor_uid": "instructor_b8b7dc487621451a3b0f915c", "source": "madgrades", "source_instructor_id": "142280", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KYLE METZLOFF", "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": 3.659, "graded": 22, "counts": [ 11, 7, 4, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/KYLE_METZLOFF" }, { "instructor_uid": "instructor_36dda70984b0a11aaf1d120d", "source": "madgrades", "source_instructor_id": "6179549", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DAWEI FENG", "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": 3.572, "graded": 207, "counts": [ 91, 69, 41, 4, 0, 1, 1 ], "sections": 52 }, "instructor_url": "/instructors/DAWEI_FENG--instructor_36dda70984b0a11aaf1d120d" }, { "instructor_uid": "instructor_9ac7c4b944e0ea6c812efab0", "source": "madgrades", "source_instructor_id": "5005167", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JUN XIAO", "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": 3.556, "graded": 152, "counts": [ 63, 54, 26, 7, 2, 0, 0 ], "sections": 28 }, "instructor_url": "/instructors/JUN_XIAO--instructor_9ac7c4b944e0ea6c812efab0" }, { "instructor_uid": "instructor_5143ce445729d2f3a135a288", "source": "madgrades", "source_instructor_id": "6488051", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HYUNSEOK OH", "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": 3.432, "graded": 117, "counts": [ 46, 33, 22, 10, 5, 1, 0 ], "sections": 21 }, "instructor_url": "/instructors/HYUNSEOK_OH--instructor_5143ce445729d2f3a135a288" }, { "instructor_uid": "instructor_34849a11b090d6fb90576477", "source": "madgrades", "source_instructor_id": "5018514", "identity_basis": "source_id", "identity_status": "source_identified", "name": "FANG LIU", "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": 3.191, "graded": 115, "counts": [ 30, 26, 31, 18, 8, 2, 0 ], "sections": 33 }, "instructor_url": "/instructors/FANG_LIU--instructor_34849a11b090d6fb90576477" }, { "instructor_uid": "instructor_f71223acf94e74c0ec11e953", "source": "madgrades", "source_instructor_id": "257302", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DAN THOMA", "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": 2, "quality": 5, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2938417", "source_url": "https://www.ratemyprofessors.com/professor/2938417", "match_basis": "exact_name", "observed_at": "2026-09-07 16:46:34.240033+00:00", "courses": {}, "bayesian_quality": 3.781532530496905, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.436, "graded": 165, "counts": [ 74, 34, 34, 14, 6, 3, 0 ], "sections": 50 }, "instructor_url": "/instructors/DAN_THOMA--instructor_f71223acf94e74c0ec11e953" }, { "instructor_uid": "instructor_703f857a6a87bd10ab816e22", "source": "madgrades", "source_instructor_id": "5330228", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BENJAMIN AFFLERBACH", "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": 3.425, "graded": 279, "counts": [ 123, 60, 56, 23, 12, 4, 1 ], "sections": 6 }, "instructor_url": "/instructors/BENJAMIN_AFFLERBACH--instructor_703f857a6a87bd10ab816e22" }, { "instructor_uid": "instructor_0166b55a54c2c724a29d8373", "source": "enrollment", "source_instructor_id": "dmbarber", "identity_basis": "netid", "identity_status": "source_identified", "name": "Dylan Barber", "email": "DMBARBER@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", "instructor_url": "/instructors/DYLAN_BARBER" }, { "instructor_uid": "instructor_6d2be15bdff9c274c2b93a0b", "source": "enrollment", "source_instructor_id": "hoh73", "identity_basis": "netid", "identity_status": "source_identified", "name": "Hyunseok Oh", "email": "HYUNSEOK.OH@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", "instructor_url": "/instructors/HYUNSEOK_OH" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 401", "course_uid": "course_4241502a67af1714c336f864", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "Dane Morgan", "Padma Gopalan" ], "a": 16, "ab": 8, "b": 3, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 27, "source_aliases": [ "MS&E 401" ] }, { 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"source_aliases": [ "MS&E 401" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 401", "course_uid": "course_4241502a67af1714c336f864", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Dawei Feng" ], "a": 2, "ab": 2, "b": 1, "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": 6, "source_aliases": [ "MS&E 401" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 401", "course_uid": "course_4241502a67af1714c336f864", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Dane Morgan", "Jun Xiao" ], "a": 35, "ab": 8, "b": 6, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 51, "source_aliases": [ "MS&E 401" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 401", "course_uid": "course_4241502a67af1714c336f864", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Dane Morgan", "Dawei Feng", "Hyunseok Oh" ], "a": 68, "ab": 3, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 1, "not_reported": 0, "other": 0, "total": 77, "source_aliases": [ "MS&E 401" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 401", "course_uid": "course_4241502a67af1714c336f864", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Dan Thoma", "Dane Morgan", "Fang Liu", "Jun Xiao" ], "a": 96, "ab": 3, "b": 4, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 5, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 109, "source_aliases": [ "MS&E 401" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 401", "course_uid": "course_4241502a67af1714c336f864", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Dane Morgan", "Dawei Feng", "Hyunseok Oh" ], "a": 52, "ab": 3, "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": 57, "source_aliases": [ "MS&E 401" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 401", "course_uid": "course_4241502a67af1714c336f864", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "BENJAMIN AFFLERBACH", "Dane Morgan", "Fang Liu", "Jun Xiao" ], "a": 71, "ab": 10, "b": 4, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 86, "source_aliases": [ "MS&E 401" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 401", "course_uid": "course_4241502a67af1714c336f864", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Dawei Feng", "Hyunseok Oh" ], "a": 20, "ab": 9, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "MS&E 401" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 401", "course_uid": "course_4241502a67af1714c336f864", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Dan Thoma", "Fang Liu", "Jun Xiao" ], "a": 28, "ab": 9, "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": 39, "source_aliases": [ "MS&E 401" ] } ] ``` ### statistics #### gpa 3.821 #### graded 856 #### counts * 644 * 138 * 62 * 7 * 4 * 0 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_4241502a67af1714c336f864-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_4241502a67af1714c336f864-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_4241502a67af1714c336f864-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_4241502a67af1714c336f864-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_4241502a67af1714c336f864-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_4241502a67af1714c336f864-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_4241502a67af1714c336f864-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_4241502a67af1714c336f864-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.820677570093458 #### count 856 #### university ##### size 5499 ##### gpa Percentile 63 ##### count Percentile 84 ##### median Count 184 ##### 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 | 9 | false | | 2.8–3.2 | 356 | false | | 3.2–3.6 | 1499 | false | | 3.6–4.0 | 3635 | true | #### departments ```json [ { "subject": "MS&E", "comparison": { "size": 40, "gpaPercentile": 79, "countPercentile": 97, "medianCount": 284.5, "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": 18, "current": false }, { "range": "3.6–4.0", "count": 18, "current": true } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.740740740740741 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1074 ##### term 1074 ##### gpa 3.8541666666666665 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1082 ##### term 1082 ##### gpa 3.8 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1092 ##### term 1092 ##### gpa 3.9285714285714284 ##### count 7 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1094 ##### term 1094 ##### gpa 3.3181818181818183 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1104 ##### term 1104 ##### gpa 3.4722222222222223 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1112 ##### term 1112 ##### gpa 3.8035714285714284 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1134 ##### term 1134 ##### gpa 3.4615384615384617 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1144 ##### term 1144 ##### gpa 3.914285714285714 ##### count 35 ##### university ###### size 878 ###### gpa Percentile 89 ###### count Percentile 10 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | true | ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1152 ##### term 1152 ##### gpa 3.972972972972973 ##### count 37 ##### university ###### size 918 ###### gpa Percentile 96 ###### count Percentile 15 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | true | ##### departments ```json [ { "subject": "MS&E", "comparison": { "size": 13, "gpaPercentile": 92, "countPercentile": 33, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 3.869565217391304 ##### count 46 ##### university ###### size 935 ###### gpa Percentile 85 ###### count Percentile 30 ###### median Count 63 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 38 | false | | 2.8–3.2 | 237 | false | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | true | ##### departments ```json [ { "subject": "MS&E", "comparison": { "size": 11, "gpaPercentile": 90, "countPercentile": 50, "medianCount": 46, "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": 4, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.7857142857142856 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1164 ##### term 1164 ##### gpa 3.5833333333333335 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1174 ##### term 1174 ##### gpa 4 ##### count 7 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1184 ##### term 1184 ##### gpa 3.5972222222222223 ##### count 36 ##### university ###### size 1010 ###### gpa Percentile 58 ###### count Percentile 13 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "MS&E", "comparison": { "size": 11, "gpaPercentile": 60, "countPercentile": 0, "medianCount": 50, "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": 5, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.803921568627451 ##### count 51 ##### university ###### size 1040 ###### gpa Percentile 77 ###### count Percentile 35 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | true | ##### departments ```json [ { "subject": "MS&E", "comparison": { "size": 11, "gpaPercentile": 90, "countPercentile": 60, "medianCount": 49, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.625 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1222 ##### term 1222 ##### gpa 3.5 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1232 ##### term 1232 ##### gpa 3 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1234 ##### term 1234 ##### gpa 3.795918367346939 ##### count 49 ##### university ###### size 1188 ###### gpa Percentile 69 ###### count Percentile 34 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | true | ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1242 ##### term 1242 ##### gpa 3.952054794520548 ##### count 73 ##### university ###### size 1295 ###### gpa Percentile 89 ###### count Percentile 53 ###### 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 | false | | 3.6–4.0 | 726 | true | ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1244 ##### term 1244 ##### gpa 3.9278846153846154 ##### count 104 ##### university ###### size 1241 ###### gpa Percentile 85 ###### count Percentile 73 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1252 ##### term 1252 ##### gpa 3.93859649122807 ##### count 57 ##### university ###### size 1333 ###### gpa Percentile 87 ###### count Percentile 41 ###### 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 | false | | 3.6–4.0 | 773 | true | ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1254 ##### term 1254 ##### gpa 3.877906976744186 ##### count 86 ##### university ###### size 1289 ###### gpa Percentile 78 ###### count Percentile 62 ###### 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 | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1262 ##### term 1262 ##### gpa 3.8448275862068964 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1264 ##### term 1264 ##### gpa 3.8333333333333335 ##### count 39 ##### university ###### size 1283 ###### gpa Percentile 68 ###### count Percentile 18 ###### 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 | subject | comparison | | ------- | ---------- | | MS\&E | | ### benchmarks #### all ##### school ###### size 5499 ###### gpa 3.6718347722474847 ###### top Share 82.59229661336909 ###### count 184 ##### MS\&E ###### size 40 ###### gpa 3.5558016059938793 ###### top Share 74.53184557732213 ###### count 284.5 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### MS\&E ###### size 13 ###### gpa 3.4656516964323854 ###### top Share 67.36374342109129 ###### count 42 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### MS\&E ###### size 11 ###### gpa 3.5145757581888515 ###### top Share 70.38130382637519 ###### count 46 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### MS\&E ###### size 12 ###### gpa 3.423761303352196 ###### top Share 65.97846525190327 ###### count 41 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### MS\&E ###### size 11 ###### gpa 3.4028768958365343 ###### top Share 63.66182482505645 ###### count 40 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### MS\&E ###### size 11 ###### gpa 3.4183419793517715 ###### top Share 65.22519862516639 ###### count 51 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### MS\&E ###### size 11 ###### gpa 3.480073287611857 ###### top Share 71.78096632966648 ###### count 50 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### MS\&E ###### size 11 ###### gpa 3.545359918883645 ###### top Share 75.77710468297047 ###### count 49 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_d5bed9e0e3e7e6e10ac83b63", "name": "DANE MORGAN", "count": 304, "terms": [ { "term": "1072", "count": 15, "sections": 1, "gpa": 3.8666666666666667 }, { "term": "1082", "count": 9, "sections": 1, "gpa": 3.888888888888889 }, { "term": "1092", "count": 7, "sections": 1, "gpa": 3.9285714285714284 }, { "term": "1112", "count": 28, "sections": 1, "gpa": 3.8035714285714284 }, { "term": "1184", "count": 14, "sections": 1, "gpa": 3.5714285714285716 }, { "term": "1194", "count": 18, "sections": 1, "gpa": 3.7777777777777777 }, { "term": "1234", "count": 32, "sections": 1, "gpa": 3.984375 }, { "term": "1242", "count": 59, "sections": 1, "gpa": 4 }, { "term": "1244", "count": 69, "sections": 1, "gpa": 4 }, { "term": "1252", "count": 41, "sections": 2, "gpa": 3.975609756097561 }, { "term": "1254", "count": 12, "sections": 1, "gpa": 3.6666666666666665 } ] }, { "uid": "instructor_07eaee3c07b5877ec724c554", "name": "DONALD STONE", "count": 200, "terms": [ { "term": "1074", "count": 10, "sections": 1, "gpa": 3.65 }, { "term": "1094", "count": 22, "sections": 1, "gpa": 3.3181818181818183 }, { "term": "1104", "count": 18, "sections": 1, "gpa": 3.4722222222222223 }, { "term": "1134", "count": 13, "sections": 1, "gpa": 3.4615384615384617 }, { "term": "1144", "count": 35, "sections": 2, "gpa": 3.914285714285714 }, { "term": "1152", "count": 37, "sections": 2, "gpa": 3.972972972972973 }, { "term": "1154", "count": 37, "sections": 2, "gpa": 3.918918918918919 }, { "term": "1174", "count": 7, "sections": 1, "gpa": 4 }, { "term": "1194", "count": 21, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_36dda70984b0a11aaf1d120d", "name": "DAWEI FENG", "count": 53, "terms": [ { "term": "1212", "count": 8, "sections": 1, "gpa": 3.625 }, { "term": "1222", "count": 8, "sections": 1, "gpa": 3.5 }, { "term": "1232", "count": 6, "sections": 1, "gpa": 3 }, { "term": "1242", "count": 6, "sections": 1, "gpa": 3.6666666666666665 }, { "term": "1252", "count": 8, "sections": 1, "gpa": 3.875 }, { "term": "1262", "count": 17, "sections": 1, "gpa": 3.8823529411764706 } ] }, { "uid": "instructor_703f857a6a87bd10ab816e22", "name": "BENJAMIN AFFLERBACH", "count": 53, "terms": [ { "term": "1254", "count": 53, "sections": 1, "gpa": 3.9716981132075473 } ] }, { "uid": "instructor_9ac7c4b944e0ea6c812efab0", "name": "JUN XIAO", "count": 44, "terms": [ { "term": "1234", "count": 17, "sections": 1, "gpa": 3.4411764705882355 }, { "term": "1244", "count": 5, "sections": 1, "gpa": 3.9 }, { "term": "1254", "count": 11, "sections": 1, "gpa": 3.909090909090909 }, { "term": "1264", "count": 11, "sections": 1, "gpa": 3.9545454545454546 } ] }, { "uid": "instructor_f71223acf94e74c0ec11e953", "name": "DAN THOMA", "count": 36, "terms": [ { "term": "1244", "count": 19, "sections": 1, "gpa": 3.8947368421052633 }, { "term": "1264", "count": 17, "sections": 1, "gpa": 3.764705882352941 } ] }, { "uid": "instructor_8c7a9b43f3f236f941f1d0ff", "name": "JEFFREY MASON", "count": 34, "terms": [ { "term": "1152", "count": 20, "sections": 1, "gpa": 3.95 }, { "term": "1162", "count": 14, "sections": 1, "gpa": 3.7857142857142856 } ] }, { "uid": "instructor_4c77701327c6ac114ac5b25f", "name": "PADMA GOPALAN", "count": 33, "terms": [ { "term": "1072", "count": 12, "sections": 1, "gpa": 3.5833333333333335 }, { "term": "1154", "count": 9, "sections": 1, "gpa": 3.6666666666666665 }, { "term": "1164", "count": 12, "sections": 1, "gpa": 3.5833333333333335 } ] }, { "uid": "instructor_34849a11b090d6fb90576477", "name": "FANG LIU", "count": 32, "terms": [ { "term": "1244", "count": 11, "sections": 1, "gpa": 3.5454545454545454 }, { "term": "1254", "count": 10, "sections": 1, "gpa": 3.6 }, { "term": "1264", "count": 11, "sections": 1, "gpa": 3.8181818181818183 } ] }, { "uid": "instructor_5143ce445729d2f3a135a288", "name": "HYUNSEOK OH", "count": 28, "terms": [ { "term": "1242", "count": 8, "sections": 1, "gpa": 3.8125 }, { "term": "1252", "count": 8, "sections": 1, "gpa": 3.8125 }, { "term": "1262", "count": 12, "sections": 1, "gpa": 3.7916666666666665 } ] }, { "uid": "instructor_f71aa509dc99ec990d539779", "name": "JON MCCARTHY", "count": 25, "terms": [ { "term": "1134", "count": 13, "sections": 1, "gpa": 3.4615384615384617 }, { "term": "1144", "count": 12, "sections": 1, "gpa": 3.75 } ] }, { "uid": "instructor_9cf0b4efd2d27d98d7577825", "name": "DARYL CRAWMER", "count": 22, "terms": [ { "term": "1184", "count": 22, "sections": 1, "gpa": 3.6136363636363638 } ] }, { "uid": "instructor_61cfce01615cf68f9ceda84b", "name": "SUSAN BABCOCK", "count": 14, "terms": [ { "term": "1074", "count": 14, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_b8b7dc487621451a3b0f915c", "name": "KYLE METZLOFF", "count": 12, "terms": [ { "term": "1194", "count": 12, "sections": 1, "gpa": 3.5 } ] }, { "uid": "instructor_6c19e520f06cec6996b97ac6", "name": "SINN-WEN CHEN", "count": 11, "terms": [ { "term": "1082", "count": 11, "sections": 1, "gpa": 3.727272727272727 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.8974418353832583 ### grades | grade | percentage | | ----- | ------------------- | | A | 84.74356959671555 | | AB | 10.40529971934103 | | B | 4.550945777288858 | | BC | 0.19629797718860464 | | C | 0.10388692946596927 | | D | 0 | | F | 0 | ### source Terms * 1264 * 1254 * 1252 * 1244 * 1242 * 1234 ### source Count 408 ### same Season false ### historical Range * 3.795918367346939 * 3.9520547945205475