# ME 311: Manufacturing: Metals and Automation | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ME_311) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T23:19:01.870283+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 3118b541e3b2553f132c270d25482abe1c22141aa01e72ac2f51e39f680205af ### course id ME 311 ### course uid course\_5c22dd351dd878a65de829aa ### catalog version id 9196a279ec4cda7379614738025d30f7b89b0560bd751380f51f336cae4578c8 ### course number 311 ### subjects * ME ### title MANUFACTURING: METALS AND AUTOMATION ### description An introduction to processes for manufacturing metal parts, designing parts to make them easier to manufacture with these methods, and approaches for increasing productivity. Manufacturing automation, control, and metrology for increased safety, productivity, and part quality. Engineering economics for determining the cost of manufacturing a part. ### requirements text (M S & E 350,351, or352or declared in Biological Systems Engineering: Machinery Systems BS),M E 231, and (M E 306 orE M A 303) ### credits min 3 ### credits max 3 ### credit offering ids * 1272:612:025979 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id a13242901bafd00868bc1abf3f589742ab07000d7726fa9c29a0a4f842db4b73 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ME 311 introduces metal manufacturing processes, design for manufacturability, automation, metrology, and engineering economics. ### llm topics * Metal manufacturing processes * Design for manufacturability * Productivity improvement approaches * Manufacturing automation, control, and metrology * Manufacturing cost engineering economics ### llm skills * Designing parts for manufacturability * Manufacturing automation, control, and metrology * Engineering economics for manufacturing cost determination ### llm assumed background * Geometric modeling and computer-aided design fundamentals * Mechanics of materials and structural stress analysis * Materials science fundamentals and properties ### llm search phrases * metal manufacturing processes * manufacturing automation control * manufacturing metrology safety * manufacturing engineering economics cost * design for manufacturability metals * productivity manufacturing methods ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash a25ebbae116d9b7429b611b8c121a64b75019e1db0629114d5aa91796923448a #### course id ME 311 #### current instructors ```json [ { "instructor_uid": "instructor_696fcb1de71e2207047f4885", "message": "No course-specific reviews available", "name": "Lianyi Chen", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "ME 311", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "source_record": { "entity_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "ME 311", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "source_record": { "entity_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ME 311", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "source_record": { "entity_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Spring 2024: 3.87 GPA, 94.1% A/AB (n=118 letter grades); Spring 2025: 3.91 GPA, 94.4% A/AB (n=160 letter grades); Fall 2025: 3.92 GPA, 100.0% A/AB (n=133 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_2d7c733ece1266bcdc75ddc4", "message": "No course-specific reviews available", "name": "Michael DeCicco", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "ME 311", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "source_record": { "entity_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ME 311", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "source_record": { "entity_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2024: 3.61 GPA, 77.4% A/AB (n=133 letter grades); Fall 2025: 3.92 GPA, 100.0% A/AB (n=133 letter grades). Includes jointly taught sections." } ] } ] ``` #### 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: 3.91 GPA, 94.4% A/AB (n=160 letter grades); Fall 2025: 3.92 GPA, 100.0% A/AB (n=133 letter grades); Spring 2026: 3.85 GPA, 94.2% A/AB (n=173 letter grades). ```json { "citations": [ { "course_id": "ME 311", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ME 311", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ME 311", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "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 LIANYI CHEN is recorded teaching in Fall 2022, Spring 2023, Fall 2023, Spring 2024, Spring 2025, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ME 311", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "source_record": { "entity_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "ME 311", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "source_record": { "entity_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "ME 311", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "source_record": { "entity_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ME 311", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "source_record": { "entity_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "ME 311", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "source_record": { "entity_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ME 311", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "source_record": { "entity_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` MICHAEL DECICCO is recorded teaching in Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ME 311", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "source_record": { "entity_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ME 311", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "source_record": { "entity_id": "3dd9af30-8d9d-3fb0-8bb8-1d83e4d9ca6a", "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, or352or declared in Biological Systems Engineering: Machinery Systems BS),M E 231, and (M E 306 orE M A 303)", "id": "n0", "kind": "all" }, { "children": [ "n4", "n5", "n6", "n7" ], "condition": null, "course": null, "evidence": "(M S & E 350,351, or352or declared in Biological Systems Engineering: Machinery Systems BS)", "id": "n1", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 231, "minimum_grade": null, "subjects": [ "ME" ], "timing": "prior" }, "evidence": "M E 231", "id": "n2", "kind": "course" }, { "children": [ "n8", "n9" ], "condition": null, "course": null, "evidence": "(M E 306 orE M A 303)", "id": "n3", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 350, "minimum_grade": null, "subjects": [ "MS&E" ], "timing": "prior" }, "evidence": "M S & E 350", "id": "n4", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 351, "minimum_grade": null, "subjects": [ "MS&E" ], "timing": "prior" }, "evidence": "351", "id": "n5", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 352, "minimum_grade": null, "subjects": [ "MS&E" ], "timing": "prior" }, "evidence": "352", "id": "n6", "kind": "course" }, { "children": [], "condition": "declared in Biological Systems Engineering: Machinery Systems BS", "course": null, "evidence": "declared in Biological Systems Engineering: Machinery Systems BS", "id": "n7", "kind": "condition" }, { "children": [], "condition": "M E 306", "course": null, "evidence": "M E 306", "id": "n8", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 303, "minimum_grade": null, "subjects": [ "EMA" ], "timing": "prior" }, "evidence": "E M A 303", "id": "n9", "kind": "course" } ] ``` #### notes * ME 306 is mentioned in requirements\_text but absent from linked\_courses; marked as condition leaf. #### 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\_74d1e016d8a19a228afa285b | enrollment | sayyalasoma2 | netid | source\_identified | Deepak Ayyalasomayajula | SAYYALASOMA2\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/DEEPAK\_AYYALASOMAYAJULA | | instructor\_696fcb1de71e2207047f4885 | enrollment | lchen88 | netid | source\_identified | Lianyi Chen | LIANYI.CHEN\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/LIANYI\_CHEN | | instructor\_8a3bf2db2b932172d37f62f7 | enrollment | mhassan22 | netid | source\_identified | MAHMUDUL Hassan | MHASSAN22\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/MAHMUDUL\_HASSAN | | instructor\_2d7c733ece1266bcdc75ddc4 | enrollment | mdecicco | netid | source\_identified | Michael DeCicco | MDECICCO\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/MICHAEL\_DECICCO | | instructor\_83c103abe3a674684c29758d | enrollment | rherrera | netid | source\_identified | Rogelio Herrera | RHERRERA\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/ROGELIO\_HERRERA | | instructor\_702bb62aaf9b092969d9bbee | enrollment | xgu245 | netid | source\_identified | Xizhou Gu | XGU245\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/XIZHOU\_GU | | instructor\_3ebe6c3773b43b47b1e04696 | enrollment | lotfizarei | netid | source\_identified | Zahra Lotfizarei | LOTFIZAREI\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/ZAHRA\_LOTFIZAREI | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:612:025979", "course_id": "ME 311", "course_uid": "course_5c22dd351dd878a65de829aa", "term_id": "1272", "source_course_id": "025979", "source_subject_id": "612", "title": "Manufacturing: Metals and Automation", "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:1272:25848", "term_id": "1272", "source_section_id": "25848", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 159, "enrolled": 154, "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:1272:25849", "term_id": "1272", "source_section_id": "25849", "identity_basis": "class_number", "section_number": "301", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 16, "enrolled": 16, "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:1272:25851", "term_id": "1272", "source_section_id": "25851", "identity_basis": "class_number", "section_number": "302", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 16, "enrolled": 15, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:25852", "term_id": "1272", "source_section_id": "25852", "identity_basis": "class_number", "section_number": "303", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 16, "enrolled": 16, "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:1272:25853", "term_id": "1272", "source_section_id": "25853", "identity_basis": "class_number", "section_number": "304", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 16, "enrolled": 15, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:25854", "term_id": "1272", "source_section_id": "25854", "identity_basis": "class_number", "section_number": "305", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 16, "enrolled": 16, "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:1272:25855", "term_id": "1272", "source_section_id": "25855", "identity_basis": "class_number", "section_number": "306", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 16, "enrolled": 16, "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:1272:25856", "term_id": "1272", "source_section_id": "25856", "identity_basis": "class_number", "section_number": "307", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 16, "enrolled": 15, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:25857", "term_id": "1272", "source_section_id": "25857", "identity_basis": "class_number", "section_number": "308", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 16, "enrolled": 13, "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:1272:25858", "term_id": "1272", "source_section_id": "25858", "identity_basis": "class_number", "section_number": "309", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 16, "enrolled": 16, "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:1272:35830", "term_id": "1272", "source_section_id": "35830", "identity_basis": "class_number", "section_number": "310", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 16, "enrolled": 16, "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_8f75497f1ef58a0972fe0e01", "source": "madgrades", "source_instructor_id": "3669416", "identity_basis": "source_id", "identity_status": "source_identified", "name": "FRANK PFEFFERKORN", "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": 3.75, "difficulty": 3.5, "quality_count": 8, "difficulty_count": 8, "profile_id": "rmp:1064439", "source_url": "https://www.ratemyprofessors.com/professor/1064439", "match_basis": "exact_name", "observed_at": "2026-09-07 16:39:04.988895+00:00", "courses": { "course_e943bbcb154c20d2c16a6792": { "review_count": 4, "quality": 4.25, "difficulty": 4, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 3.6854898453904252, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.639, "graded": 1462, "counts": [ 913, 248, 187, 53, 47, 12, 2 ], "sections": 180 }, "instructor_url": "/instructors/FRANK_PFEFFERKORN--instructor_8f75497f1ef58a0972fe0e01" }, { "instructor_uid": "instructor_01304986e8eaf469bb664660", "source": "madgrades", "source_instructor_id": "6242091", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LIANYI 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": 3.858, "graded": 879, "counts": [ 701, 118, 51, 6, 3, 0, 0 ], "sections": 49 }, "instructor_url": "/instructors/LIANYI_CHEN--instructor_01304986e8eaf469bb664660" }, { "instructor_uid": "instructor_b443eae13c68c8c375d29664", "source": "madgrades", "source_instructor_id": "5617581", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SANGKEE MIN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 4, "quality": 4.25, "difficulty": 3.75, "quality_count": 4, "difficulty_count": 4, "profile_id": "rmp:2141391", "source_url": "https://www.ratemyprofessors.com/professor/2141391", "match_basis": "exact_name", "observed_at": "2026-09-07 16:07:26.777269+00:00", "courses": { "course_5305d79bb20485d3960e403c": { "review_count": 3, "quality": 4.67, "difficulty": 3.67, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.7580714862888294, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.836, "graded": 598, "counts": [ 452, 105, 34, 5, 2, 0, 0 ], "sections": 87 }, "instructor_url": "/instructors/SANGKEE_MIN--instructor_b443eae13c68c8c375d29664" }, { "instructor_uid": "instructor_30ce09e191a7f279bf8dbcdf", "source": "madgrades", "source_instructor_id": "605495", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHAEL DECICCO", "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": 3.352, "graded": 1416, "counts": [ 468, 380, 357, 140, 57, 9, 5 ], "sections": 29 }, "instructor_url": "/instructors/MICHAEL_DECICCO--instructor_30ce09e191a7f279bf8dbcdf" }, { "instructor_uid": "instructor_2d7c733ece1266bcdc75ddc4", "source": "enrollment", "source_instructor_id": "mdecicco", "identity_basis": "netid", "identity_status": "source_identified", "name": "Michael DeCicco", "email": "MDECICCO@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/MICHAEL_DECICCO" }, { "instructor_uid": "instructor_3ebe6c3773b43b47b1e04696", "source": "enrollment", "source_instructor_id": "lotfizarei", "identity_basis": "netid", "identity_status": "source_identified", "name": "Zahra Lotfizarei", "email": "LOTFIZAREI@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/ZAHRA_LOTFIZAREI" }, { "instructor_uid": "instructor_696fcb1de71e2207047f4885", "source": "enrollment", "source_instructor_id": "lchen88", "identity_basis": "netid", "identity_status": "source_identified", "name": "Lianyi Chen", "email": "LIANYI.CHEN@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/LIANYI_CHEN" }, { "instructor_uid": "instructor_702bb62aaf9b092969d9bbee", "source": "enrollment", "source_instructor_id": "xgu245", "identity_basis": "netid", "identity_status": "source_identified", "name": "Xizhou Gu", "email": "XGU245@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/XIZHOU_GU" }, { "instructor_uid": "instructor_74d1e016d8a19a228afa285b", "source": "enrollment", "source_instructor_id": "sayyalasoma2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Deepak Ayyalasomayajula", "email": "SAYYALASOMA2@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/DEEPAK_AYYALASOMAYAJULA" }, { "instructor_uid": "instructor_83c103abe3a674684c29758d", "source": "enrollment", "source_instructor_id": "rherrera", "identity_basis": "netid", "identity_status": "source_identified", "name": "Rogelio Herrera", "email": "RHERRERA@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/ROGELIO_HERRERA" }, { "instructor_uid": "instructor_8a3bf2db2b932172d37f62f7", "source": "enrollment", "source_instructor_id": "mhassan22", "identity_basis": "netid", "identity_status": "source_identified", "name": "MAHMUDUL Hassan", "email": "MHASSAN22@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/MAHMUDUL_HASSAN" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ME 311", "course_uid": "course_5c22dd351dd878a65de829aa", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Frank Pfefferkorn" ], "a": 73, "ab": 10, "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": 85, "source_aliases": [ "ME 311" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ME 311", "course_uid": "course_5c22dd351dd878a65de829aa", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Lianyi Chen" ], "a": 100, "ab": 23, "b": 12, "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": 136, "source_aliases": [ "ME 311" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ME 311", "course_uid": "course_5c22dd351dd878a65de829aa", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Lianyi Chen" ], "a": 103, "ab": 20, "b": 14, "bc": 3, "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": 142, "source_aliases": [ "ME 311" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ME 311", "course_uid": "course_5c22dd351dd878a65de829aa", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Lianyi Chen" ], "a": 104, "ab": 26, "b": 9, "bc": 1, "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": 141, "source_aliases": [ "ME 311" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ME 311", "course_uid": "course_5c22dd351dd878a65de829aa", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Lianyi Chen", "Sangkee Min" ], "a": 96, "ab": 15, "b": 6, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 119, "source_aliases": [ "ME 311" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ME 311", "course_uid": "course_5c22dd351dd878a65de829aa", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Frank Pfefferkorn", "Michael DeCicco" ], "a": 65, "ab": 38, "b": 25, "bc": 3, "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": 133, "source_aliases": [ "ME 311" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ME 311", "course_uid": "course_5c22dd351dd878a65de829aa", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Lianyi Chen", "Sangkee Min" ], "a": 139, "ab": 12, "b": 9, "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": 160, "source_aliases": [ "ME 311" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ME 311", "course_uid": "course_5c22dd351dd878a65de829aa", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Lianyi Chen", "Michael DeCicco" ], "a": 113, "ab": 20, "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": 133, "source_aliases": [ "ME 311" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ME 311", "course_uid": "course_5c22dd351dd878a65de829aa", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Frank Pfefferkorn", "Sangkee Min" ], "a": 131, "ab": 32, "b": 9, "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": 173, "source_aliases": [ "ME 311" ] } ] ``` ### statistics #### gpa 3.829 #### graded 1221 #### counts * 924 * 196 * 86 * 10 * 5 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_5c22dd351dd878a65de829aa-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_5c22dd351dd878a65de829aa-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_5c22dd351dd878a65de829aa-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_5c22dd351dd878a65de829aa-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_5c22dd351dd878a65de829aa-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_5c22dd351dd878a65de829aa-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_5c22dd351dd878a65de829aa-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_5c22dd351dd878a65de829aa-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.828828828828829 #### count 1221 #### university ##### size 4326 ##### gpa Percentile 60 ##### count Percentile 95 ##### median Count 121 ##### 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 | 12 | false | | 2.8–3.2 | 236 | false | | 3.2–3.6 | 1054 | false | | 3.6–4.0 | 3024 | true | #### departments ```json [ { "subject": "ME", "comparison": { "size": 70, "gpaPercentile": 77, "countPercentile": 88, "medianCount": 132, "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": 27, "current": false }, { "range": "3.6–4.0", "count": 39, "current": true } ] } } ] ``` ### terms #### 1224 ##### term 1224 ##### gpa 3.9176470588235293 ##### count 85 ##### university ###### size 1171 ###### gpa Percentile 85 ###### count Percentile 62 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "ME", "comparison": { "size": 24, "gpaPercentile": 91, "countPercentile": 39, "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": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.8161764705882355 ##### count 136 ##### university ###### size 1216 ###### gpa Percentile 72 ###### count Percentile 78 ###### 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 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "ME", "comparison": { "size": 25, "gpaPercentile": 83, "countPercentile": 63, "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": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.7711267605633805 ##### count 142 ##### university ###### size 1188 ###### gpa Percentile 66 ###### count Percentile 80 ###### 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": "ME", "comparison": { "size": 26, "gpaPercentile": 68, "countPercentile": 64, "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": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.8191489361702127 ##### count 141 ##### university ###### size 1295 ###### gpa Percentile 70 ###### count Percentile 79 ###### 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 ```json [ { "subject": "ME", "comparison": { "size": 31, "gpaPercentile": 83, "countPercentile": 77, "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": false }, { "range": "3.6–4.0", "count": 15, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.8728813559322033 ##### count 118 ##### university ###### size 1241 ###### gpa Percentile 78 ###### count Percentile 76 ###### 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 ```json [ { "subject": "ME", "comparison": { "size": 27, "gpaPercentile": 88, "countPercentile": 54, "medianCount": 109, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.6052631578947367 ##### count 133 ##### university ###### size 1333 ###### gpa Percentile 42 ###### count Percentile 77 ###### 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 ```json [ { "subject": "ME", "comparison": { "size": 28, "gpaPercentile": 56, "countPercentile": 56, "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": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.90625 ##### count 160 ##### university ###### size 1289 ###### gpa Percentile 82 ###### count Percentile 83 ###### 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": "ME", "comparison": { "size": 28, "gpaPercentile": 74, "countPercentile": 67, "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 3.924812030075188 ##### count 133 ##### university ###### size 1320 ###### gpa Percentile 83 ###### count Percentile 76 ###### 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 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "ME", "comparison": { "size": 31, "gpaPercentile": 90, "countPercentile": 57, "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": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.846820809248555 ##### count 173 ##### university ###### size 1283 ###### gpa Percentile 70 ###### count Percentile 84 ###### 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": "ME", "comparison": { "size": 25, "gpaPercentile": 83, "countPercentile": 75, "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": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4326 ###### gpa 3.6988471432532406 ###### top Share 84.26784333877397 ###### count 121 ##### ME ###### size 70 ###### gpa 3.623043205512368 ###### top Share 79.27835759726395 ###### count 132 #### terms ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### 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 ###### 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 ###### 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 ###### 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 ###### 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 ###### 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 ###### 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 ###### 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 ###### ME ###### size 25 ###### gpa 3.5110862399220912 ###### top Share 72.3479757717731 ###### count 131 ## instructor Trends ```json [ { "uid": "instructor_01304986e8eaf469bb664660", "name": "LIANYI CHEN", "count": 830, "terms": [ { "term": "1232", "count": 136, "sections": 1, "gpa": 3.8161764705882355 }, { "term": "1234", "count": 142, "sections": 1, "gpa": 3.7711267605633805 }, { "term": "1242", "count": 141, "sections": 1, "gpa": 3.8191489361702127 }, { "term": "1244", "count": 118, "sections": 1, "gpa": 3.8728813559322033 }, { "term": "1254", "count": 160, "sections": 1, "gpa": 3.90625 }, { "term": "1262", "count": 133, "sections": 1, "gpa": 3.924812030075188 } ] }, { "uid": "instructor_b443eae13c68c8c375d29664", "name": "SANGKEE MIN", "count": 451, "terms": [ { "term": "1244", "count": 118, "sections": 1, "gpa": 3.8728813559322033 }, { "term": "1254", "count": 160, "sections": 1, "gpa": 3.90625 }, { "term": "1264", "count": 173, "sections": 1, "gpa": 3.846820809248555 } ] }, { "uid": "instructor_8f75497f1ef58a0972fe0e01", "name": "FRANK PFEFFERKORN", "count": 391, "terms": [ { "term": "1224", "count": 85, "sections": 1, "gpa": 3.9176470588235293 }, { "term": "1252", "count": 133, "sections": 1, "gpa": 3.6052631578947367 }, { "term": "1264", "count": 173, "sections": 1, "gpa": 3.846820809248555 } ] }, { "uid": "instructor_30ce09e191a7f279bf8dbcdf", "name": "MICHAEL DECICCO", "count": 266, "terms": [ { "term": "1252", "count": 133, "sections": 1, "gpa": 3.6052631578947367 }, { "term": "1262", "count": 133, "sections": 1, "gpa": 3.924812030075188 } ] } ] ``` ## following | code | title | | ------ | ---------------------------------- | | ME 449 | REDESIGN AND PROTOTYPE FABRICATION | ## projection ### target 1272 ### gpa 3.7964634920328892 ### grades | grade | percentage | | ----- | ------------------ | | A | 70.76994680160382 | | AB | 19.767946751772808 | | B | 8.008247773294261 | | BC | 0.8925753982556371 | | C | 0.5612832750734589 | | D | 0 | | F | 0 | ### source Terms * 1262 * 1252 * 1242 * 1232 ### source Count 543 ### same Season true ### historical Range * 3.605263157894737 * 3.924812030075188 ### backtest #### terms 3 #### gpa Error 0.14135187228493992 #### mix Error 17.50395119081593