# ENVIRST 971: Environmental Sensing Technologies | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ENVIRST_971) ## 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 b9365cec51844b0d6f79c602224a8b63d9fb1ef4cc98733f217712afd10b8077 ### course id ENVIRST 971 ### course uid course\_2ca42a08f05366f351c31860 ### catalog version id 0007a18cac65862d8cc0db181f2ea90dd8e1b10733c8733ef70dbc9d5efc5545 ### course number 971 ### subjects * ENVIRST ### title ENVIRONMENTAL SENSING TECHNOLOGIES ### description Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively. ### requirements text LAND ARC/​ENVIR ST/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing (or FW ECOL 371 prior to Summer 2026) ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 2cfc910f8ee0aed07e8127ab396a139c8cef5485b7a47030296569778c307c70 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ENVIRONMENTAL SENSING TECHNOLOGIES surveys emerging environmental monitoring technologies and provides hands-on experience with data analytics and geocomputing. ### llm topics * Traditional remote sensing data sources. * Unconventional and emerging data sources. * Spatial and temporal data dimensions. ### llm skills * Geocomputing, coding, and cloud-based platform usage. * Planning, managing, and utilizing environmental data technologies. ### llm assumed background * Prerequisite knowledge in environmental remote sensing fundamentals and introductory calculus. ### llm search phrases * environmental remote sensing technologies * UAV drone data analytics * LiDAR and RADAR monitoring * geocomputing cloud platforms * crowd-sourced environmental data ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 605af77ac19df27e581b68288941afe101421a09780decbae980d007c985a7bf #### course id ENVIRST 971 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 3.88 GPA, 100.0% A/AB (n=8 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Spring 2026: 3.88 GPA, 100.0% A/AB (n=13 letter grades). ```json { "citations": [ { "course_id": "ENVIRST 971", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "59689b60-1e4b-3e18-bd2d-5a3c6e7f0e65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "ENVIRST 971", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "59689b60-1e4b-3e18-bd2d-5a3c6e7f0e65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ENVIRST 971", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "59689b60-1e4b-3e18-bd2d-5a3c6e7f0e65", "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 None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "LAND ARC/ENVIR ST/G L E/GEOG/GEOSCI 371and graduate/professional standing (or FW ECOL 371 prior to Summer 2026)", "id": "n0", "kind": "any" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "LAND ARC/ENVIR ST/G L E/GEOG/GEOSCI 371and graduate/professional standing", "id": "n1", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 371, "minimum_grade": null, "subjects": [ "ENVIRST", "GEOG", "GEOSCI", "GLE", "LANDARC" ], "timing": "prior" }, "evidence": "LAND ARC/ENVIR ST/G L E/GEOG/GEOSCI 371", "id": "n3", "kind": "course" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n4", "kind": "condition" }, { "children": [], "condition": "FW ECOL 371 prior to Summer 2026", "course": null, "evidence": "FW ECOL 371 prior to Summer 2026", "id": "n2", "kind": "condition" } ] ``` #### notes * Reference to 'FW ECOL 371' is unlinked in linked\_courses; identity and logic require review. #### root n0 #### status needs\_review ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_234794bfea356012b6077041", "source": "madgrades", "source_instructor_id": "910161", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANNEMARIE SCHNEIDER", "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": 4, "difficulty": 3.14, "quality_count": 7, "difficulty_count": 7, "profile_id": "rmp:1405662", "source_url": "https://www.ratemyprofessors.com/professor/1405662", "match_basis": "exact_name", "observed_at": "2026-09-07 16:54:37.001971+00:00", "courses": { "course_35a7b51daa1a8ee38a5bdddf": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.7479153952197004, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.414, "graded": 674, "counts": [ 349, 81, 151, 19, 56, 9, 9 ], "sections": 78 }, "instructor_url": "/instructors/ANNEMARIE_SCHNEIDER--instructor_234794bfea356012b6077041" }, { "instructor_uid": "instructor_3efb15617b6d78332f9bda76", "source": "madgrades", "source_instructor_id": "3292125", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SARAH WEGMUELLER", "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": 3.923, "graded": 13, "counts": [ 11, 2, 0, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/SARAH_WEGMUELLER--instructor_3efb15617b6d78332f9bda76" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST 971", "course_uid": "course_2ca42a08f05366f351c31860", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Annemarie Schneider", "SARAH WEGMUELLER" ], "a": 11, "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": 13, "source_aliases": [ "ENVIRST 971" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST 971", "course_uid": "course_2ca42a08f05366f351c31860", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Annemarie Schneider" ], "a": 14, "ab": 0, "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": 15, "source_aliases": [ "ENVIRST 971" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST 971", "course_uid": "course_2ca42a08f05366f351c31860", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Annemarie Schneider" ], "a": 7, "ab": 0, "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": 8, "source_aliases": [ "ENVIRST 971" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST 971", "course_uid": "course_2ca42a08f05366f351c31860", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Annemarie Schneider" ], "a": 6, "ab": 2, "b": 0, "bc": 0, "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": 9, "source_aliases": [ "ENVIRST 971" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST 971", "course_uid": "course_2ca42a08f05366f351c31860", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Annemarie Schneider" ], "a": 6, "ab": 0, "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": 6, "source_aliases": [ "ENVIRST 971" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST 971", "course_uid": "course_2ca42a08f05366f351c31860", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Annemarie Schneider" ], "a": 10, "ab": 3, "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": 13, "source_aliases": [ "ENVIRST 971" ] } ] ``` ### statistics #### gpa 3.913 #### graded 63 #### counts * 54 * 7 * 2 * 0 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_2ca42a08f05366f351c31860-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_2ca42a08f05366f351c31860-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_2ca42a08f05366f351c31860-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_2ca42a08f05366f351c31860-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_2ca42a08f05366f351c31860-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_2ca42a08f05366f351c31860-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.9126984126984126 #### count 63 #### university ##### size 3143 ##### gpa Percentile 75 ##### count Percentile 27 ##### median Count 119 ##### 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 | 10 | false | | 2.8–3.2 | 166 | false | | 3.2–3.6 | 756 | false | | 3.6–4.0 | 2211 | true | #### departments ```json [ { "subject": "ENVIRST", "comparison": { "size": 70, "gpaPercentile": 83, "countPercentile": 19, "medianCount": 184.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 20, "current": false }, { "range": "3.6–4.0", "count": 46, "current": true } ] } } ] ``` ### terms #### 1204 ##### term 1204 ##### gpa 3.923076923076923 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | ENVIRST | | #### 1224 ##### term 1224 ##### gpa 3.933333333333333 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | ENVIRST | | #### 1234 ##### term 1234 ##### gpa 3.875 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | ENVIRST | | #### 1244 ##### term 1244 ##### gpa 3.875 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | ENVIRST | | #### 1254 ##### term 1254 ##### gpa 4 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | ENVIRST | | #### 1264 ##### term 1264 ##### gpa 3.8846153846153846 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | ENVIRST | | ### benchmarks #### all ##### school ###### size 3143 ###### gpa 3.700510183496391 ###### top Share 84.47071099002075 ###### count 119 ##### ENVIRST ###### size 70 ###### gpa 3.66758172795774 ###### top Share 82.76666859356422 ###### count 184.5 #### terms ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### ENVIRST ###### size 29 ###### gpa 3.674529525693237 ###### top Share 82.258961157806 ###### count 79 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### ENVIRST ###### size 30 ###### gpa 3.5164528238553183 ###### top Share 73.38013651241461 ###### count 83.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### ENVIRST ###### size 35 ###### gpa 3.562190005068061 ###### top Share 74.74595421679987 ###### count 75 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### ENVIRST ###### size 40 ###### gpa 3.609333958752014 ###### top Share 78.44870523269554 ###### count 71 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### ENVIRST ###### size 39 ###### gpa 3.6271091837384972 ###### top Share 80.50128090125337 ###### count 73 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### ENVIRST ###### size 39 ###### gpa 3.6234319124309753 ###### top Share 80.66171436378418 ###### count 70 ## instructor Trends ```json [ { "uid": "instructor_234794bfea356012b6077041", "name": "ANNEMARIE SCHNEIDER", "count": 63, "terms": [ { "term": "1204", "count": 13, "sections": 1, "gpa": 3.923076923076923 }, { "term": "1224", "count": 15, "sections": 1, "gpa": 3.933333333333333 }, { "term": "1234", "count": 8, "sections": 1, "gpa": 3.875 }, { "term": "1244", "count": 8, "sections": 1, "gpa": 3.875 }, { "term": "1254", "count": 6, "sections": 1, "gpa": 4 }, { "term": "1264", "count": 13, "sections": 1, "gpa": 3.8846153846153846 } ] }, { "uid": "instructor_3efb15617b6d78332f9bda76", "name": "SARAH WEGMUELLER", "count": 13, "terms": [ { "term": "1204", "count": 13, "sections": 1, "gpa": 3.923076923076923 } ] } ] ``` ## following None recorded.