# ATMOCN/ENVIRST/GEOSCI 102: Climate and Climate Change | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ATMOCN_ENVIRST_GEOSCI_102) ## 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 80ae38e7e013aebc052a1f946eb21e5ac533b7d3248c9b3e942832485aa9c221 ### course id ATMOCN/ENVIRST/GEOSCI 102 ### course uid course\_5d233e08e5a34ce18cc4dc04 ### catalog version id 88e99617eb5b14833e97461fd3ad961e0e5e02a435ecf20874ee2287da5dad3e ### course number 102 ### subjects * ATMOCN * ENVIRST * GEOSCI ### title CLIMATE AND CLIMATE CHANGE ### description Describes the basic climate principles governing the climate system. It describes the climate and climate variability at present, climate evolution in the past, and the projected climate change into the future. The scientific principles underlying the natural and anthropogenic greenhouse effect and climate model forecasts are elucidated. ### requirements text None ### credits min 3 ### credits max 3 ### credit offering ids * 1272:360:024043 * 1272:420:024043 * 1272:640:024043 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 43d252264a818f2e0a8ef98a4775162ad3c338e21423eb9e1acf37550b224b98 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary CLIMATE AND CLIMATE CHANGE describes basic climate principles, variability, and the science behind the greenhouse effect and model forecasts. ### llm topics * Basic climate principles * Climate variability, evolution, and future projections * Natural and anthropogenic greenhouse effect * Climate model forecasts ### llm skills * Describing basic climate principles * Describing climate variability and evolution * Elucidating scientific principles of the greenhouse effect and climate models ### llm assumed background None recorded. ### llm search phrases * climate system principles * greenhouse effect * climate model forecasts * climate variability * anthropogenic climate change ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash b12dbee262c72723d66d80683ab564a3d4b65f1082972cdc213c920161a93b78 #### course id ATMOCN/ENVIRST/GEOSCI 102 #### current instructors ```json [ { "instructor_uid": "instructor_7da7cd39a088f432b97f398c", "message": "No course-specific reviews available", "name": "Elizabeth Maroon", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:3048292", "summary": [ { "citations": [ { "course_id": "ATMOCN/ENVIRST/GEOSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "f987fdae-e7d2-3ead-9e5c-f950d0bb8d32", "source_record": { "entity_id": "f987fdae-e7d2-3ead-9e5c-f950d0bb8d32", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" } ], "text": "Recent recorded grades — Fall 2024: 3.41 GPA, 67.4% A/AB (n=175 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_e68a2d007c25fcab1f84b759", "message": "No course-specific reviews available", "name": "Evan Meeker", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] }, { "instructor_uid": "instructor_6cdcc2dfcd188e5a5bed8fac", "message": "No course-specific reviews available", "name": "Marissa Tripus", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload Historical reviews of Michael Notaro: Quizzes are described as easy if students study the provided study guide document. ```json { "citations": [ { "instructor_name": "Michael Notaro", "review_date": "2026-01-05 18:28:56 +0000 UTC", "review_id": "cd2704cbcdd516637453c71c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2898555", "source_review_id": "UmF0aW5nLTQyNDM5OTYx", "source_url": "https://www.ratemyprofessors.com/professor/2898555", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Michael Notaro: Michael Notaro is described as an amazing lecturer who is passionate and helpful. Reviewers note his in-depth lectures, quick email responses, and availability during office hours. He is recommended for physical science credit and is seen as understanding regarding health issues. ```json { "citations": [ { "instructor_name": "Michael Notaro", "review_date": "2025-12-02 23:28:08 +0000 UTC", "review_id": "5b2dab22e92af168f5b42c95", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2898555", "source_review_id": "UmF0aW5nLTQyMDAyNTI1", "source_url": "https://www.ratemyprofessors.com/professor/2898555", "type": "review" }, { "instructor_name": "Michael Notaro", "review_date": "2026-01-05 18:28:56 +0000 UTC", "review_id": "cd2704cbcdd516637453c71c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2898555", "source_review_id": "UmF0aW5nLTQyNDM5OTYx", "source_url": "https://www.ratemyprofessors.com/professor/2898555", "type": "review" }, { "instructor_name": "Michael Notaro", "review_date": "2026-04-06 20:08:35 +0000 UTC", "review_id": "393204d66da0dab09a5cc9b6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2898555", "source_review_id": "UmF0aW5nLTQyNzg3MDky", "source_url": "https://www.ratemyprofessors.com/professor/2898555", "type": "review" } ] } ``` #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Historical reviews of Michael Notaro: Michael Notaro is a highly rated lecturer who makes the course accessible and enjoyable for students seeking physical science credit. ```json { "citations": [ { "instructor_name": "Michael Notaro", "review_date": "2025-12-02 23:28:08 +0000 UTC", "review_id": "5b2dab22e92af168f5b42c95", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2898555", "source_review_id": "UmF0aW5nLTQyMDAyNTI1", "source_url": "https://www.ratemyprofessors.com/professor/2898555", "type": "review" }, { "instructor_name": "Michael Notaro", "review_date": "2026-01-05 18:28:56 +0000 UTC", "review_id": "cd2704cbcdd516637453c71c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2898555", "source_review_id": "UmF0aW5nLTQyNDM5OTYx", "source_url": "https://www.ratemyprofessors.com/professor/2898555", "type": "review" }, { "instructor_name": "Michael Notaro", "review_date": "2026-04-06 20:08:35 +0000 UTC", "review_id": "393204d66da0dab09a5cc9b6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2898555", "source_review_id": "UmF0aW5nLTQyNzg3MDky", "source_url": "https://www.ratemyprofessors.com/professor/2898555", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.56 GPA, 80.9% A/AB (n=131 letter grades); Fall 2025: 3.68 GPA, 82.1% A/AB (n=184 letter grades); Spring 2026: 3.54 GPA, 78.0% A/AB (n=168 letter grades). ```json { "citations": [ { "course_id": "ATMOCN/ENVIRST/GEOSCI 102", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f987fdae-e7d2-3ead-9e5c-f950d0bb8d32", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ATMOCN/ENVIRST/GEOSCI 102", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f987fdae-e7d2-3ead-9e5c-f950d0bb8d32", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ATMOCN/ENVIRST/GEOSCI 102", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f987fdae-e7d2-3ead-9e5c-f950d0bb8d32", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Michael Notaro: Students appreciate Notaro's passion, quick email responses, and availability during office hours. ```json { "citations": [ { "instructor_name": "Michael Notaro", "review_date": "2026-04-06 20:08:35 +0000 UTC", "review_id": "393204d66da0dab09a5cc9b6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2898555", "source_review_id": "UmF0aW5nLTQyNzg3MDky", "source_url": "https://www.ratemyprofessors.com/professor/2898555", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ELIZABETH MAROON is recorded teaching in Fall 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ATMOCN/ENVIRST/GEOSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "f987fdae-e7d2-3ead-9e5c-f950d0bb8d32", "source_record": { "entity_id": "f987fdae-e7d2-3ead-9e5c-f950d0bb8d32", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" } ] } ``` MICHAEL NOTARO is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ATMOCN/ENVIRST/GEOSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "f987fdae-e7d2-3ead-9e5c-f950d0bb8d32", "source_record": { "entity_id": "f987fdae-e7d2-3ead-9e5c-f950d0bb8d32", "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": [], "condition": "None", "course": null, "evidence": "None", "id": "source_requirements", "kind": "condition" } ] ``` #### notes * Display fallback using original requirements text; not an LLM-parsed rule. #### root source\_requirements #### status needs\_review ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ---------------- | ------------------ | -------------------------------- | -------------------------------- | ------------------------------ | | instructor\_7da7cd39a088f432b97f398c | enrollment | emaroon | netid | source\_identified | Elizabeth Maroon | EMAROON\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/ELIZABETH\_MAROON | | instructor\_e68a2d007c25fcab1f84b759 | enrollment | emeeker2 | netid | source\_identified | Evan Meeker | EMEEKER2\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/EVAN\_MEEKER | | instructor\_6cdcc2dfcd188e5a5bed8fac | enrollment | tripus | netid | source\_identified | Marissa Tripus | TRIPUS\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/MARISSA\_TRIPUS | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:360:024043", "course_id": "ATMOCN/ENVIRST/GEOSCI 102", "course_uid": "course_5d233e08e5a34ce18cc4dc04", "term_id": "1272", "source_course_id": "024043", "source_subject_id": "360", "title": "Climate and Climate Change", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:420:024043", "course_id": "ATMOCN/ENVIRST/GEOSCI 102", "course_uid": "course_5d233e08e5a34ce18cc4dc04", "term_id": "1272", "source_course_id": "024043", "source_subject_id": "420", "title": "Climate and Climate Change", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:640:024043", "course_id": "ATMOCN/ENVIRST/GEOSCI 102", "course_uid": "course_5d233e08e5a34ce18cc4dc04", "term_id": "1272", "source_course_id": "024043", "source_subject_id": "640", "title": "Climate and Climate Change", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:29003", "term_id": "1272", "source_section_id": "29003", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 197, "enrolled": 61, "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:1272:29002", "term_id": "1272", "source_section_id": "29002", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 197, "enrolled": 73, "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:1272:28857", "term_id": "1272", "source_section_id": "28857", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 197, "enrolled": 63, "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_3ca203694ce5323f2afbd58a", "source": "madgrades", "source_instructor_id": "4722773", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KYLE GRIFFIN", "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": 2.795, "graded": 39, "counts": [ 8, 7, 12, 3, 3, 3, 3 ], "sections": 1 }, "instructor_url": "/instructors/KYLE_GRIFFIN" }, { "instructor_uid": "instructor_7d301ccdfdb8f7d5e60dccdf", "source": "madgrades", "source_instructor_id": "163266", "identity_basis": "source_id", "identity_status": "source_identified", "name": "STEVEN ACKERMAN", "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": 3.072, "graded": 1463, "counts": [ 349, 305, 414, 201, 119, 49, 26 ], "sections": 67 }, "instructor_url": "/instructors/STEVEN_ACKERMAN--instructor_7d301ccdfdb8f7d5e60dccdf" }, { "instructor_uid": "instructor_21f3be3c84e731eb4e61c874", "source": "madgrades", "source_instructor_id": "3625030", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHAUN MARCOTT", "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": 4.62, "difficulty": 2.25, "quality_count": 8, "difficulty_count": 8, "profile_id": "rmp:2327004", "source_url": "https://www.ratemyprofessors.com/professor/2327004", "match_basis": "exact_name", "observed_at": "2026-09-07 16:06:00.032235+00:00", "courses": { "course_ec84447d55dd1d711398b57c": { "review_count": 5, "quality": 4.6, "difficulty": 2.2, "quality_count": 5, "difficulty_count": 5 }, "course_da91f17a6f8a3ea8c85e003b": { "review_count": 2, "quality": 5, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.9340612739618543, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.538, "graded": 1683, "counts": [ 878, 420, 199, 100, 52, 22, 12 ], "sections": 76 }, "instructor_url": "/instructors/SHAUN_MARCOTT--instructor_21f3be3c84e731eb4e61c874" }, { "instructor_uid": "instructor_972346404e47df3bf68a9295", "source": "madgrades", "source_instructor_id": "6475621", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARIANNE HASELOFF", "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": 3.617, "graded": 433, "counts": [ 275, 82, 31, 20, 14, 8, 3 ], "sections": 22 }, "instructor_url": "/instructors/MARIANNE_HASELOFF--instructor_972346404e47df3bf68a9295" }, { "instructor_uid": "instructor_275ece547bdb2a6ef21170bd", "source": "madgrades", "source_instructor_id": "6236908", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ELIZABETH MAROON", "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": 3.613, "graded": 328, "counts": [ 184, 79, 37, 13, 14, 1, 0 ], "sections": 22 }, "instructor_url": "/instructors/ELIZABETH_MAROON--instructor_275ece547bdb2a6ef21170bd" }, { "instructor_uid": "instructor_9946f9bc2036b717ea12e373", "source": "madgrades", "source_instructor_id": "6279863", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ADRIANNA MODELSKA", "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": 3.114, "graded": 355, "counts": [ 101, 73, 74, 48, 48, 8, 3 ], "sections": 3 }, "instructor_url": "/instructors/ADRIANNA_MODELSKA--instructor_9946f9bc2036b717ea12e373" }, { "instructor_uid": "instructor_d33b63f163dbd9aab4f19bd1", "source": "madgrades", "source_instructor_id": "6661964", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ERIN DUKE", "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": 3.393, "graded": 313, "counts": [ 120, 86, 63, 22, 18, 1, 3 ], "sections": 2 }, "instructor_url": "/instructors/ERIN_DUKE--instructor_d33b63f163dbd9aab4f19bd1" }, { "instructor_uid": "instructor_38ca518008dedf48dcf7ef6e", "source": "madgrades", "source_instructor_id": "6465799", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YASMEEN ORELLANA SALAZAR", "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": 3.55, "graded": 299, "counts": [ 171, 66, 28, 15, 9, 7, 3 ], "sections": 2 }, "instructor_url": "/instructors/YASMEEN_ORELLANA_SALAZAR--instructor_38ca518008dedf48dcf7ef6e" }, { "instructor_uid": "instructor_41173767366bb247596ebf2d", "source": "madgrades", "source_instructor_id": "6490005", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHAEL NOTARO", "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": 9, "quality": 5, "difficulty": 1.44, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:2898555", "source_url": "https://www.ratemyprofessors.com/professor/2898555", "match_basis": "exact_name", "observed_at": "2026-09-07 16:17:47.131192+00:00", "courses": { "course_abab02ccab293c82043d76e2": { "review_count": 6, "quality": 5, "difficulty": 1.5, "quality_count": 6, "difficulty_count": 6 }, "course_5d233e08e5a34ce18cc4dc04": { "review_count": 3, "quality": 5, "difficulty": 1.33, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 4.075645367963169, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.677, "graded": 499, "counts": [ 311, 102, 58, 16, 9, 2, 1 ], "sections": 3 }, "instructor_url": "/instructors/MICHAEL_NOTARO" }, { "instructor_uid": "instructor_44dfaf2a229c9ec08e9efedb", "source": "madgrades", "source_instructor_id": "6303433", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YINGSHUN SUN", "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": 3.551, "graded": 595, "counts": [ 327, 138, 68, 32, 16, 6, 8 ], "sections": 6 }, "instructor_url": "/instructors/YINGSHUN_SUN--instructor_44dfaf2a229c9ec08e9efedb" }, { "instructor_uid": "instructor_bad54234698e11e073359f4b", "source": "madgrades", "source_instructor_id": "6379453", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NATASHA MORGAN-WITTS", "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": 3.54, "graded": 237, "counts": [ 130, 54, 25, 12, 10, 5, 1 ], "sections": 3 }, "instructor_url": "/instructors/NATASHA_MORGAN-WITTS--instructor_bad54234698e11e073359f4b" }, { "instructor_uid": "instructor_6cdcc2dfcd188e5a5bed8fac", "source": "enrollment", "source_instructor_id": "tripus", "identity_basis": "netid", "identity_status": "source_identified", "name": "Marissa Tripus", "email": "TRIPUS@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/MARISSA_TRIPUS" }, { "instructor_uid": "instructor_7da7cd39a088f432b97f398c", "source": "enrollment", "source_instructor_id": "emaroon", "identity_basis": "netid", "identity_status": "source_identified", "name": "Elizabeth Maroon", "email": "EMAROON@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/ELIZABETH_MAROON" }, { "instructor_uid": "instructor_e68a2d007c25fcab1f84b759", "source": "enrollment", "source_instructor_id": "emeeker2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Evan Meeker", "email": "EMEEKER2@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/EVAN_MEEKER" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ATMOCN/ENVIRST/GEOSCI 102", "course_uid": "course_5d233e08e5a34ce18cc4dc04", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "KYLE GRIFFIN", "STEVEN ACKERMAN" ], "a": 8, "ab": 7, "b": 12, "bc": 3, "c": 3, "d": 3, "f": 3, "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": [ "ATMOCN/ENVIRST/GEOSCI 102" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ATMOCN/ENVIRST/GEOSCI 102", "course_uid": "course_5d233e08e5a34ce18cc4dc04", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Marianne Haseloff", "Shaun Marcott" ], "a": 31, "ab": 14, "b": 2, "bc": 5, "c": 5, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 58, "source_aliases": [ "ATMOCN/ENVIRST/GEOSCI 102" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ATMOCN/ENVIRST/GEOSCI 102", "course_uid": "course_5d233e08e5a34ce18cc4dc04", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "ADRIANNA MODELSKA", "ERIN DUKE", "Elizabeth Maroon" ], "a": 67, "ab": 51, "b": 32, "bc": 10, "c": 14, "d": 1, "f": 0, "satisfactory": 15, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 190, "source_aliases": [ "ATMOCN/ENVIRST/GEOSCI 102" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ATMOCN/ENVIRST/GEOSCI 102", "course_uid": "course_5d233e08e5a34ce18cc4dc04", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Marianne Haseloff", "Shaun Marcott", "YASMEEN ORELLANA SALAZAR" ], "a": 72, "ab": 34, "b": 11, "bc": 8, "c": 2, "d": 2, "f": 2, "satisfactory": 7, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 138, "source_aliases": [ "ATMOCN/ENVIRST/GEOSCI 102" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ATMOCN/ENVIRST/GEOSCI 102", "course_uid": "course_5d233e08e5a34ce18cc4dc04", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "MICHAEL NOTARO", "Yingshun Sun" ], "a": 123, "ab": 28, "b": 20, "bc": 7, "c": 5, "d": 0, "f": 1, "satisfactory": 12, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 196, "source_aliases": [ "ATMOCN/ENVIRST/GEOSCI 102" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ATMOCN/ENVIRST/GEOSCI 102", "course_uid": "course_5d233e08e5a34ce18cc4dc04", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Marianne Haseloff", "NATASHA MORGAN-WITTS", "Shaun Marcott", "YASMEEN ORELLANA SALAZAR" ], "a": 99, "ab": 32, "b": 17, "bc": 7, "c": 7, "d": 5, "f": 1, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 11, "other": 0, "total": 181, "source_aliases": [ "ATMOCN/ENVIRST/GEOSCI 102" ] } ] ``` ### statistics #### gpa 3.506 #### graded 755 #### counts * 400 * 166 * 94 * 40 * 36 * 12 * 7 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_5d233e08e5a34ce18cc4dc04-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_5d233e08e5a34ce18cc4dc04-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_5d233e08e5a34ce18cc4dc04-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_5d233e08e5a34ce18cc4dc04-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_5d233e08e5a34ce18cc4dc04-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_5d233e08e5a34ce18cc4dc04-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_5d233e08e5a34ce18cc4dc04-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_5d233e08e5a34ce18cc4dc04-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_5d233e08e5a34ce18cc4dc04-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_5d233e08e5a34ce18cc4dc04-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.5059602649006623 #### count 755 #### university ##### size 3784 ##### gpa Percentile 25 ##### count Percentile 94 ##### median Count 97.5 ##### 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 | 231 | false | | 3.2–3.6 | 1015 | true | | 3.6–4.0 | 2524 | false | #### departments ```json [ { "subject": "ATMOCN", "comparison": { "size": 33, "gpaPercentile": 34, "countPercentile": 97, "medianCount": 55, "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": 13, "current": true }, { "range": "3.6–4.0", "count": 17, "current": false } ] } }, { "subject": "ENVIRST", "comparison": { "size": 90, "gpaPercentile": 29, "countPercentile": 97, "medianCount": 133, "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": 8, "current": false }, { "range": "3.2–3.6", "count": 30, "current": true }, { "range": "3.6–4.0", "count": 51, "current": false } ] } }, { "subject": "GEOSCI", "comparison": { "size": 26, "gpaPercentile": 68, "countPercentile": 88, "medianCount": 123, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` ### terms #### 1152 ##### term 1152 ##### gpa 2.7948717948717947 ##### count 39 ##### university ###### size 918 ###### gpa Percentile 3 ###### count Percentile 18 ###### 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 | true | | 2.8–3.2 | 227 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "ATMOCN", "comparison": null }, { "subject": "ENVIRST", "comparison": { "size": 26, "gpaPercentile": 0, "countPercentile": 4, "medianCount": 83.5, "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": 2, "current": true }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "GEOSCI", "comparison": { "size": 16, "gpaPercentile": 7, "countPercentile": 13, "medianCount": 57.5, "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": 2, "current": true }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.4913793103448274 ##### count 58 ##### university ###### size 1241 ###### gpa Percentile 32 ###### count Percentile 43 ###### 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 | true | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "ATMOCN", "comparison": null }, { "subject": "ENVIRST", "comparison": { "size": 40, "gpaPercentile": 28, "countPercentile": 41, "medianCount": 71, "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": 16, "current": true }, { "range": "3.6–4.0", "count": 21, "current": false } ] } }, { "subject": "GEOSCI", "comparison": null } ] ``` #### 1252 ##### term 1252 ##### gpa 3.4085714285714284 ##### count 175 ##### university ###### size 1333 ###### gpa Percentile 23 ###### count Percentile 84 ###### 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 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "ATMOCN", "comparison": null }, { "subject": "ENVIRST", "comparison": { "size": 29, "gpaPercentile": 11, "countPercentile": 71, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 18, "current": false } ] } }, { "subject": "GEOSCI", "comparison": { "size": 10, "gpaPercentile": 11, "countPercentile": 67, "medianCount": 159, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.5572519083969465 ##### count 131 ##### university ###### size 1289 ###### gpa Percentile 37 ###### count Percentile 79 ###### 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 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "ATMOCN", "comparison": null }, { "subject": "ENVIRST", "comparison": { "size": 39, "gpaPercentile": 32, "countPercentile": 82, "medianCount": 73, "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": 10, "current": true }, { "range": "3.6–4.0", "count": 25, "current": false } ] } }, { "subject": "GEOSCI", "comparison": { "size": 11, "gpaPercentile": 70, "countPercentile": 70, "medianCount": 86, "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": 5, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.682065217391304 ##### count 184 ##### university ###### size 1320 ###### gpa Percentile 49 ###### count Percentile 84 ###### 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": "ATMOCN", "comparison": null }, { "subject": "ENVIRST", "comparison": { "size": 33, "gpaPercentile": 50, "countPercentile": 88, "medianCount": 87, "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": 18, "current": true } ] } }, { "subject": "GEOSCI", "comparison": null } ] ``` #### 1264 ##### term 1264 ##### gpa 3.544642857142857 ##### count 168 ##### university ###### size 1283 ###### gpa Percentile 34 ###### 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 | true | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "ATMOCN", "comparison": null }, { "subject": "ENVIRST", "comparison": { "size": 39, "gpaPercentile": 32, "countPercentile": 87, "medianCount": 70, "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": true }, { "range": "3.6–4.0", "count": 23, "current": false } ] } }, { "subject": "GEOSCI", "comparison": null } ] ``` ### benchmarks #### all ##### school ###### size 3784 ###### gpa 3.677341837144586 ###### top Share 82.94499037076456 ###### count 97.5 ##### ATMOCN ###### size 33 ###### gpa 3.6212674867559267 ###### top Share 79.4209118402902 ###### count 55 ##### ENVIRST ###### size 90 ###### gpa 3.6204957138155565 ###### top Share 79.89062769310618 ###### count 133 ##### GEOSCI ###### size 26 ###### gpa 3.371317096581813 ###### top Share 64.06597312487837 ###### count 123 #### terms ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### ENVIRST ###### size 26 ###### gpa 3.2887810672539186 ###### top Share 57.82041568457323 ###### count 83.5 ###### GEOSCI ###### size 16 ###### gpa 3.1133622666098173 ###### top Share 45.502003791012335 ###### count 57.5 ##### 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 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### ENVIRST ###### size 29 ###### gpa 3.6285167663247697 ###### top Share 79.2354489571711 ###### count 107 ###### GEOSCI ###### size 10 ###### gpa 3.5792033986742817 ###### top Share 78.48483150838436 ###### count 159 ##### 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 ###### GEOSCI ###### size 11 ###### gpa 3.4683975607136763 ###### top Share 71.36857364724828 ###### count 86 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### ENVIRST ###### size 33 ###### gpa 3.6212262610369974 ###### top Share 79.68494654816247 ###### count 87 ##### 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_21f3be3c84e731eb4e61c874", "name": "SHAUN MARCOTT", "count": 357, "terms": [ { "term": "1244", "count": 58, "sections": 1, "gpa": 3.4913793103448274 }, { "term": "1254", "count": 131, "sections": 1, "gpa": 3.5572519083969465 }, { "term": "1264", "count": 168, "sections": 1, "gpa": 3.544642857142857 } ] }, { "uid": "instructor_972346404e47df3bf68a9295", "name": "MARIANNE HASELOFF", "count": 357, "terms": [ { "term": "1244", "count": 58, "sections": 1, "gpa": 3.4913793103448274 }, { "term": "1254", "count": 131, "sections": 1, "gpa": 3.5572519083969465 }, { "term": "1264", "count": 168, "sections": 1, "gpa": 3.544642857142857 } ] }, { "uid": "instructor_38ca518008dedf48dcf7ef6e", "name": "YASMEEN ORELLANA SALAZAR", "count": 299, "terms": [ { "term": "1254", "count": 131, "sections": 1, "gpa": 3.5572519083969465 }, { "term": "1264", "count": 168, "sections": 1, "gpa": 3.544642857142857 } ] }, { "uid": "instructor_41173767366bb247596ebf2d", "name": "MICHAEL NOTARO", "count": 184, "terms": [ { "term": "1262", "count": 184, "sections": 1, "gpa": 3.682065217391304 } ] }, { "uid": "instructor_44dfaf2a229c9ec08e9efedb", "name": "YINGSHUN SUN", "count": 184, "terms": [ { "term": "1262", "count": 184, "sections": 1, "gpa": 3.682065217391304 } ] }, { "uid": "instructor_275ece547bdb2a6ef21170bd", "name": "ELIZABETH MAROON", "count": 175, "terms": [ { "term": "1252", "count": 175, "sections": 1, "gpa": 3.4085714285714284 } ] }, { "uid": "instructor_9946f9bc2036b717ea12e373", "name": "ADRIANNA MODELSKA", "count": 175, "terms": [ { "term": "1252", "count": 175, "sections": 1, "gpa": 3.4085714285714284 } ] }, { "uid": "instructor_d33b63f163dbd9aab4f19bd1", "name": "ERIN DUKE", "count": 175, "terms": [ { "term": "1252", "count": 175, "sections": 1, "gpa": 3.4085714285714284 } ] }, { "uid": "instructor_bad54234698e11e073359f4b", "name": "NATASHA MORGAN-WITTS", "count": 168, "terms": [ { "term": "1264", "count": 168, "sections": 1, "gpa": 3.544642857142857 } ] }, { "uid": "instructor_3ca203694ce5323f2afbd58a", "name": "KYLE GRIFFIN", "count": 39, "terms": [ { "term": "1152", "count": 39, "sections": 1, "gpa": 2.7948717948717947 } ] }, { "uid": "instructor_7d301ccdfdb8f7d5e60dccdf", "name": "STEVEN ACKERMAN", "count": 39, "terms": [ { "term": "1152", "count": 39, "sections": 1, "gpa": 2.7948717948717947 } ] } ] ``` ## following | code | title | | ---------- | ------------------------------------------------ | | ATMOCN 201 | EXPLORATIONS OF ATMOSPHERIC AND OCEANIC SCIENCES | | ENTOM 490 | BIODIVERSITY AND GLOBAL CHANGE | ## projection ### target 1272 ### gpa 3.558934126736857 ### grades | grade | percentage | | ----- | ------------------ | | A | 56.09330086196096 | | AB | 21.340147728407693 | | B | 11.344869691474518 | | BC | 5.0377617231166285 | | C | 4.53924736242362 | | D | 1.122184069352593 | | F | 0.522488563263998 | ### source Terms * 1264 * 1262 * 1254 * 1252 * 1244 ### source Count 716 ### same Season false ### historical Range * 3.408571428571429 * 3.682065217391304