# CIVENGR 572: Transportation Operations | UW–Madison [View on UW Courses](https://uwcourses.com/courses/CIVENGR_572) ## 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 e1cc22edf493411450ff819f89bff37d70d86b43b7a7c17e0718a889674b10fc ### course id CIVENGR 572 ### course uid course\_364d8f4cd13788eedbab4a9b ### catalog version id 7fc39fad86c16c4b4955afcd6d1dbb82a7607d73f35c8cb8abf531829f6c0485 ### course number 572 ### subjects * CIVENGR ### title TRANSPORTATION OPERATIONS ### description Introduction to assessment tools of transportation operations and fundamental concepts in flow theory, flow control, observation and measurement techniques, and scheduled transportation. Applied to various modes of transportation. Emphasis on logic rather than recipe-oriented practice. ### requirements text CIV ENGR 370and (E C E 331,STAT/​MATH  431, orSTAT 311), graduate/professional standing, or member of Engineering Guest Students ### credits min 3 ### credits max 3 ### credit offering ids * 1272:240:025505 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 7bee05313206166cd9a81baa124c182f446c270d2729bba2199c7a0a7b60ffc5 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary CIVENGR 572 introduces assessment tools, flow theory, and measurement techniques for transportation operations. ### llm topics * Flow theory and control * Observation and measurement techniques * Scheduled transportation * Various transportation modes ### llm skills * Assessment of transportation operations * Flow theory, flow control, and measurement techniques * Logical problem solving in transportation contexts ### llm assumed background * Prerequisite courses in transportation engineering, statistics, and random signal analysis. * Foundational knowledge in probability theory, statistical inference, and random processes. ### llm search phrases * transportation flow theory * transportation operations assessment * random signal analysis statistics * probability theory transportation ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 22b54b19b909ad7ca5285dcb97a3363f84a77fcda7d8de05985effc8b135c80f #### course id CIVENGR 572 #### current instructors ```json [ { "instructor_uid": "instructor_6d1aa1fb80d8fae6bcc7e623", "message": "No course-specific reviews available", "name": "Sue Ahn", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2327880", "summary": [] } ] ``` #### 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 — Fall 2023: 3.93 GPA, 100.0% A/AB (n=14 letter grades); Fall 2024: 3.62 GPA, 75.0% A/AB (n=8 letter grades); Fall 2025: 3.75 GPA, 83.3% A/AB (n=6 letter grades). ```json { "citations": [ { "course_id": "CIVENGR 572", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "11d8f563-9d45-37fb-a4b6-18fbebbebc2c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "CIVENGR 572", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "11d8f563-9d45-37fb-a4b6-18fbebbebc2c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "CIVENGR 572", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "11d8f563-9d45-37fb-a4b6-18fbebbebc2c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "CIV ENGR 370and (E C E 331,STAT/MATH 431, orSTAT 311), graduate/professional standing, or member of Engineering Guest Students", "id": "n0", "kind": "any" }, { "children": [ "n4", "n5" ], "condition": null, "course": null, "evidence": "CIV ENGR 370and (E C E 331,STAT/MATH 431, orSTAT 311)", "id": "n1", "kind": "all" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n2", "kind": "condition" }, { "children": [], "condition": "member of Engineering Guest Students", "course": null, "evidence": "member of Engineering Guest Students", "id": "n3", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 370, "minimum_grade": null, "subjects": [ "CIVENGR" ], "timing": "prior" }, "evidence": "CIV ENGR 370", "id": "n4", "kind": "course" }, { "children": [ "n6", "n7", "n8" ], "condition": null, "course": null, "evidence": "(E C E 331,STAT/MATH 431, orSTAT 311)", "id": "n5", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 331, "minimum_grade": null, "subjects": [ "ECE" ], "timing": "prior" }, "evidence": "E C E 331", "id": "n6", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 431, "minimum_grade": null, "subjects": [ "MATH", "STAT" ], "timing": "prior" }, "evidence": "STAT/MATH 431", "id": "n7", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 311, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 311", "id": "n8", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_6d1aa1fb80d8fae6bcc7e623", "source": "enrollment", "source_instructor_id": "ahn37", "identity_basis": "netid", "identity_status": "source_identified", "name": "Sue Ahn", "email": "SUE.AHN@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 9, "quality": 4.89, "difficulty": 2.78, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:2327880", "source_url": "https://www.ratemyprofessors.com/professor/2327880", "match_basis": "exact_name", "observed_at": "2026-09-07 16:02:58.138477+00:00", "courses": { 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"LEC", "instruction_mode": "Classroom Instruction", "capacity": 20, "enrolled": 8, "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_e584eda98c72c06660049f2e", "source": "madgrades", "source_instructor_id": "5276027", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SOYOUNG AHN", "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": 3.354, "graded": 981, "counts": [ 304, 226, 357, 55, 36, 3, 0 ], "sections": 74 }, "instructor_url": "/instructors/SOYOUNG_AHN--instructor_e584eda98c72c06660049f2e" }, { "instructor_uid": "instructor_6d1aa1fb80d8fae6bcc7e623", "source": "enrollment", "source_instructor_id": "ahn37", "identity_basis": "netid", "identity_status": "source_identified", "name": "Sue Ahn", "email": "SUE.AHN@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 9, "quality": 4.89, "difficulty": 2.78, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:2327880", "source_url": "https://www.ratemyprofessors.com/professor/2327880", "match_basis": "exact_name", "observed_at": "2026-09-07 16:02:58.138477+00:00", "courses": { "course_7d8e7b53aa59c6c90fbf1f88": { "review_count": 1, "quality": 5, "difficulty": 1, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 4.041507436928686, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/SUE_AHN" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 572", "course_uid": "course_364d8f4cd13788eedbab4a9b", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "SOYOUNG AHN" ], "a": 4, "ab": 1, "b": 1, "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": 6, "source_aliases": [ "CIVENGR 572" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 572", "course_uid": "course_364d8f4cd13788eedbab4a9b", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "SOYOUNG AHN" ], "a": 10, "ab": 3, "b": 2, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 16, "source_aliases": [ "CIVENGR 572" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 572", "course_uid": "course_364d8f4cd13788eedbab4a9b", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "SOYOUNG AHN" ], "a": 12, "ab": 2, "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": 14, "source_aliases": [ "CIVENGR 572" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 572", "course_uid": "course_364d8f4cd13788eedbab4a9b", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "SOYOUNG AHN" ], "a": 4, "ab": 2, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 8, "source_aliases": [ "CIVENGR 572" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 572", "course_uid": "course_364d8f4cd13788eedbab4a9b", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "SOYOUNG AHN" ], "a": 4, "ab": 1, "b": 1, "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": 6, "source_aliases": [ "CIVENGR 572" ] } ] ``` ### statistics #### gpa 3.75 #### graded 50 #### counts * 34 * 9 * 6 * 0 * 1 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_364d8f4cd13788eedbab4a9b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_364d8f4cd13788eedbab4a9b-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_364d8f4cd13788eedbab4a9b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_364d8f4cd13788eedbab4a9b-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_364d8f4cd13788eedbab4a9b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_364d8f4cd13788eedbab4a9b-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_364d8f4cd13788eedbab4a9b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_364d8f4cd13788eedbab4a9b-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.75 #### count 50 #### university ##### size 2928 ##### gpa Percentile 50 ##### count Percentile 19 ##### median Count 115 ##### 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 | 10 | false | | 2.8–3.2 | 180 | false | | 3.2–3.6 | 745 | false | | 3.6–4.0 | 1992 | true | #### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 44, "gpaPercentile": 58, "countPercentile": 16, "medianCount": 97.5, "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": 16, "current": false }, { "range": "3.6–4.0", "count": 25, "current": true } ] } } ] ``` ### terms #### 1222 ##### term 1222 ##### gpa 3.75 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1232 ##### term 1232 ##### gpa 3.65625 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1242 ##### term 1242 ##### gpa 3.9285714285714284 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1252 ##### term 1252 ##### gpa 3.625 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1262 ##### term 1262 ##### gpa 3.75 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | ### benchmarks #### all ##### school ###### size 2928 ###### gpa 3.6868346571627475 ###### top Share 83.66514315684641 ###### count 115 ##### CIVENGR ###### size 44 ###### gpa 3.639600559265565 ###### top Share 78.07863526459721 ###### count 97.5 #### terms ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### CIVENGR ###### size 14 ###### gpa 3.325129186450629 ###### top Share 55.065784552509456 ###### count 48.5 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### CIVENGR ###### size 15 ###### gpa 3.457951178470601 ###### top Share 67.632548688138 ###### count 42 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### CIVENGR ###### size 15 ###### gpa 3.4236532475023655 ###### top Share 60.37899493571134 ###### count 42 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### CIVENGR ###### size 15 ###### gpa 3.5343179829018943 ###### top Share 73.12920318437412 ###### count 45 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### CIVENGR ###### size 20 ###### gpa 3.5044360575458198 ###### top Share 67.9351957372048 ###### count 54 ## instructor Trends ```json [ { "uid": "instructor_e584eda98c72c06660049f2e", "name": "SOYOUNG AHN", "count": 50, "terms": [ { "term": "1222", "count": 6, "sections": 1, "gpa": 3.75 }, { "term": "1232", "count": 16, "sections": 1, "gpa": 3.65625 }, { "term": "1242", "count": 14, "sections": 1, "gpa": 3.9285714285714284 }, { "term": "1252", "count": 8, "sections": 1, "gpa": 3.625 }, { "term": "1262", "count": 6, "sections": 1, "gpa": 3.75 } ] } ] ``` ## following None recorded.