# GEOSCI 331: Gems: the Science Behind the Sparkle | UW–Madison [View on UW Courses](https://uwcourses.com/courses/GEOSCI_331) ## 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 420db4480beeca2c394e9edad91598cc4223502545a2fa09ce09cf0fbdec2486 ### course id GEOSCI 331 ### course uid course\_81f4461a09a3e6c844c539a7 ### catalog version id 662880d357691ade59616286ddec4a474f8beb782cb0f5cba3037d85d6d29c00 ### course number 331 ### subjects * GEOSCI ### title GEMS: THE SCIENCE BEHIND THE SPARKLE ### description Explores the formation, collection, properties, and treatment of many popular gemstones. ### requirements text Junior standing ### credits min 1 ### credits max 2 ### credit offering ids * 1272:420:022130 ### llm job id enrich-6b25dd25bd8e7594acdf2f80 ### llm output id 2f3d1ff4b9bc6d8c48daf1c549952885e3cfb42ef2d690e1b27fa671fb76d9aa ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary GEOSCI 331 explores the formation, collection, properties, and treatment of popular gemstones. ### llm topics * Gemstone formation * Gemstone collection * Gemstone properties * Gemstone treatment ### llm skills None recorded. ### llm assumed background None recorded. ### llm search phrases * gemstone formation * gemstone properties * gemstone treatment * gems science ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash b0bc9d352220e7793478fa730686bd687fa3d1cfc71cf5eeb234915c22a5ee19 #### course id GEOSCI 331 #### current instructors ```json [ { "instructor_uid": "instructor_dbd947088cd6a6d15335d30f", "message": null, "name": "Huifang Xu", "review_status": "supported", "rmp_instructor_id": "rmp:1136169", "summary": [ { "citations": [ { "instructor_name": "Huifang Xu", "review_date": "2014-05-24 18:12:21 +0000 UTC", "review_id": "a934fee422376c633aba70d5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTIzMzA5MjAz", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" }, { "instructor_name": "Huifang Xu", "review_date": "2021-05-03 16:10:06 +0000 UTC", "review_id": "304e756e2ed12e6a046e402e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTM0Njg3NzIw", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" }, { "instructor_name": "Huifang Xu", "review_date": "2022-04-27 17:37:08 +0000 UTC", "review_id": "4b6ad810a89e69facb56df65", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTM2MTcwMzUx", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" } ], "text": "Huifang Xu is described as a nice professor who teaches an easy class with easy tests, leading to high grades. Reviewers found the material interesting and the workload manageable, with one noting that earning less than an A is difficult." }, { "citations": [ { "instructor_name": "Huifang Xu", "review_date": "2017-12-21 23:38:42 +0000 UTC", "review_id": "c31e040d5256e718c968fe8a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTI5MzEyMTA1", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" }, { "instructor_name": "Huifang Xu", "review_date": "2018-05-18 11:06:48 +0000 UTC", "review_id": "1756922a6c8e0660d3a10502", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTMwMTQ0NjA2", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" }, { "instructor_name": "Huifang Xu", "review_date": "2018-12-20 04:32:43 +0000 UTC", "review_id": "0ebf45471fec09068be7debc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTMxMTExMzky", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" } ], "text": "Some reviewers report significant challenges, citing extremely nitpicky exam questions that require linking trivial details. Concerns include timed exams requiring all lectures, incorrect grading due to technology issues, and slow email responses from the instructor." }, { "citations": [ { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.45 GPA, 73.6% A/AB (n=276 letter grades); Fall 2025: 3.76 GPA, 89.7% A/AB (n=234 letter grades); Spring 2026: 3.84 GPA, 92.5% A/AB (n=280 letter grades)." } ] } ] ``` #### difficulty workload Students must manage numerous PDF lectures and create study aids like diagrams and spreadsheets. Exams are timed, 30-question tests that require linking multiple details from the lectures. ```json { "citations": [ { "instructor_name": "Huifang Xu", "review_date": "2017-12-21 23:38:42 +0000 UTC", "review_id": "c31e040d5256e718c968fe8a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTI5MzEyMTA1", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" }, { "instructor_name": "Huifang Xu", "review_date": "2018-05-18 11:06:48 +0000 UTC", "review_id": "1756922a6c8e0660d3a10502", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTMwMTQ0NjA2", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" }, { "instructor_name": "Huifang Xu", "review_date": "2018-12-20 04:32:43 +0000 UTC", "review_id": "0ebf45471fec09068be7debc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTMxMTExMzky", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" } ] } ``` #### errors None recorded. #### historical context None recorded. #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Reviewers describe the course as easy with straightforward tests. Some find the material interesting and the professor nice, noting that earning a high grade is straightforward. ```json { "citations": [ { "instructor_name": "Huifang Xu", "review_date": "2014-05-24 18:12:21 +0000 UTC", "review_id": "a934fee422376c633aba70d5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTIzMzA5MjAz", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" }, { "instructor_name": "Huifang Xu", "review_date": "2021-05-03 16:10:06 +0000 UTC", "review_id": "304e756e2ed12e6a046e402e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTM0Njg3NzIw", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" }, { "instructor_name": "Huifang Xu", "review_date": "2022-04-27 17:37:08 +0000 UTC", "review_id": "4b6ad810a89e69facb56df65", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTM2MTcwMzUx", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.45 GPA, 73.6% A/AB (n=276 letter grades); Fall 2025: 3.76 GPA, 89.7% A/AB (n=234 letter grades); Spring 2026: 3.84 GPA, 92.5% A/AB (n=280 letter grades). ```json { "citations": [ { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience One reviewer reports frustration with nitpicky exam questions and incorrect grading, noting that the instructor is slow to respond to emails regarding grade disputes. ```json { "citations": [ { "instructor_name": "Huifang Xu", "review_date": "2018-12-20 04:32:43 +0000 UTC", "review_id": "0ebf45471fec09068be7debc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTMxMTExMzky", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history HUIFANG XU is recorded teaching in Fall 2006, Spring 2007, Fall 2007, Spring 2008, Fall 2008, Spring 2009, Fall 2009, Spring 2010, Fall 2010, Spring 2011, Fall 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1072", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1074", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1082", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1084", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1092", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1094", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1102", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1104", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1114", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1134", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1174", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": 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"madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "GEOSCI 331", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "10560108-a9bf-380d-a14d-aafe62485c65", "source_record": { "entity_id": "10560108-a9bf-380d-a14d-aafe62485c65", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Junior standing", "course": null, "evidence": "Junior standing", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_dbd947088cd6a6d15335d30f", "source": "enrollment", "source_instructor_id": "hxu1", "identity_basis": "netid", "identity_status": "source_identified", "name": "Huifang Xu", "email": "HFXU@GEOLOGY.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": 21, "quality": 3.33, "difficulty": 2.9, "quality_count": 21, "difficulty_count": 21, "profile_id": "rmp:1136169", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "match_basis": "exact_name", "observed_at": "2026-09-07 16:36:23.251989+00:00", "courses": { "course_81f4461a09a3e6c844c539a7": { "review_count": 6, "quality": 3.5, "difficulty": 2.67, "quality_count": 6, "difficulty_count": 6 }, "course_c12870ea5f4395a0bdc83d31": { "review_count": 2, "quality": 4.5, "difficulty": 4, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.4908223334373636, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/HUIFANG_XU" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:420:022130", "course_id": "GEOSCI 331", "course_uid": "course_81f4461a09a3e6c844c539a7", "term_id": "1272", "source_course_id": "022130", "source_subject_id": "420", "title": "Gems: The Science Behind the Sparkle", "credits_min": 1, "credits_max": 2, "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:1272:22471", "term_id": "1272", "source_section_id": "22471", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 250, "enrolled": 250, "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_4d06bd94ed86c780f96cc923", "source": "madgrades", "source_instructor_id": "3922816", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HUIFANG XU", "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": 21, "quality": 3.33, "difficulty": 2.9, "quality_count": 21, "difficulty_count": 21, "profile_id": "rmp:1136169", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "match_basis": "exact_name", "observed_at": "2026-09-07 16:36:23.251989+00:00", "courses": { "course_81f4461a09a3e6c844c539a7": { "review_count": 6, "quality": 3.5, "difficulty": 2.67, "quality_count": 6, "difficulty_count": 6 }, "course_c12870ea5f4395a0bdc83d31": { "review_count": 2, "quality": 4.5, "difficulty": 4, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.4908223334373636, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.317, "graded": 8403, "counts": [ 3148, 2145, 1484, 782, 557, 251, 36 ], "sections": 159 }, "instructor_url": "/instructors/HUIFANG_XU--instructor_4d06bd94ed86c780f96cc923" }, { "instructor_uid": "instructor_5bb8fa9d4dd96de1d26d1b09", "source": "madgrades", "source_instructor_id": "3962348", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BRYN ASHLEY BENFORD", "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": 3.33, "graded": 479, "counts": [ 161, 150, 87, 42, 21, 18, 0 ], "sections": 2 }, "instructor_url": "/instructors/BRYN_ASHLEY_BENFORD--instructor_5bb8fa9d4dd96de1d26d1b09" }, { "instructor_uid": "instructor_63705fe0ad9b95d477abe915", "source": "madgrades", "source_instructor_id": "1612517", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GEORGE ERIC TANGALOS", "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": 3.363, "graded": 487, "counts": [ 182, 146, 78, 42, 21, 18, 0 ], "sections": 2 }, "instructor_url": "/instructors/GEORGE_ERIC_TANGALOS--instructor_63705fe0ad9b95d477abe915" }, { "instructor_uid": "instructor_6c09280c6319fc9f827655c7", "source": "madgrades", "source_instructor_id": "4156283", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SEANN DAVID MCCLURE", "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": 3.332, "graded": 464, "counts": [ 159, 146, 78, 42, 21, 18, 0 ], "sections": 1 }, "instructor_url": "/instructors/SEANN_DAVID_MCCLURE" }, { "instructor_uid": "instructor_758cc9ace451f4ea15aaecd2", "source": "madgrades", "source_instructor_id": "3777383", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PAUL R RILEY", "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": 3.334, "graded": 475, "counts": [ 161, 151, 82, 42, 21, 18, 0 ], "sections": 2 }, "instructor_url": "/instructors/PAUL_R_RILEY--instructor_758cc9ace451f4ea15aaecd2" }, { "instructor_uid": "instructor_e60f1ffa80636881a20364c3", "source": "madgrades", "source_instructor_id": "3780362", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JIE XU", "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": 3.332, "graded": 464, "counts": [ 159, 146, 78, 42, 21, 18, 0 ], "sections": 1 }, "instructor_url": "/instructors/JIE_XU--instructor_e60f1ffa80636881a20364c3" }, { "instructor_uid": "instructor_dbd947088cd6a6d15335d30f", "source": "enrollment", "source_instructor_id": "hxu1", "identity_basis": "netid", "identity_status": "source_identified", "name": "Huifang Xu", "email": "HFXU@GEOLOGY.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": 21, "quality": 3.33, "difficulty": 2.9, "quality_count": 21, "difficulty_count": 21, "profile_id": "rmp:1136169", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "match_basis": "exact_name", "observed_at": "2026-09-07 16:36:23.251989+00:00", "courses": { "course_81f4461a09a3e6c844c539a7": { "review_count": 6, "quality": 3.5, "difficulty": 2.67, "quality_count": 6, "difficulty_count": 6 }, "course_c12870ea5f4395a0bdc83d31": { "review_count": 2, "quality": 4.5, "difficulty": 4, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.4908223334373636, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/HUIFANG_XU" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI 331", "course_uid": "course_81f4461a09a3e6c844c539a7", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "Huifang Xu" ], "a": 31, "ab": 35, "b": 29, "bc": 19, "c": 18, "d": 8, "f": 2, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 2, "other": 0, "total": 147, "source_aliases": [ "GEOSCI 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI 331", "course_uid": "course_81f4461a09a3e6c844c539a7", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "BRYN ASHLEY BENFORD", "GEORGE ERIC TANGALOS", "Huifang Xu", "JIE XU", "PAUL R RILEY", "SEANN DAVID MCCLURE" ], "a": 159, "ab": 146, "b": 78, "bc": 42, "c": 21, "d": 18, "f": 0, "satisfactory": 17, "unsatisfactory": 0, "credit": 0, 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15:55:43.033547+00:00", "course_id": "GEOSCI 331", "course_uid": "course_81f4461a09a3e6c844c539a7", "term_id": "1134", "term_name": "Spring 2013", "instructors": [ "Huifang Xu" ], "a": 52, "ab": 33, "b": 31, "bc": 19, "c": 7, "d": 5, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 148, "source_aliases": [ "GEOSCI 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI 331", "course_uid": "course_81f4461a09a3e6c844c539a7", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "Huifang Xu" ], "a": 45, "ab": 32, "b": 33, "bc": 18, "c": 7, "d": 6, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 143, "source_aliases": [ "GEOSCI 331" ] }, { "run_id": "20260907T155543-ce3781c4", 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"course_81f4461a09a3e6c844c539a7", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Huifang Xu" ], "a": 68, "ab": 77, "b": 42, "bc": 11, "c": 9, "d": 8, "f": 1, "satisfactory": 5, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 17, "other": 0, "total": 238, "source_aliases": [ "GEOSCI 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI 331", "course_uid": "course_81f4461a09a3e6c844c539a7", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Huifang Xu" ], "a": 126, "ab": 104, "b": 31, "bc": 15, "c": 7, "d": 5, "f": 2, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 9, "other": 0, "total": 300, "source_aliases": [ "GEOSCI 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI 331", "course_uid": "course_81f4461a09a3e6c844c539a7", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Huifang Xu" ], "a": 109, "ab": 73, "b": 22, "bc": 11, "c": 6, "d": 4, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 4, "not_reported": 0, "other": 0, "total": 232, "source_aliases": [ "GEOSCI 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI 331", "course_uid": "course_81f4461a09a3e6c844c539a7", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Huifang Xu" ], "a": 129, "ab": 88, "b": 42, "bc": 12, "c": 8, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 17, "not_reported": 0, "other": 0, "total": 296, "source_aliases": [ "GEOSCI 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI 331", "course_uid": "course_81f4461a09a3e6c844c539a7", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Huifang Xu" ], "a": 124, "ab": 70, "b": 25, "bc": 13, "c": 5, "d": 5, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 35, "not_reported": 0, "other": 0, "total": 280, "source_aliases": [ "GEOSCI 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI 331", "course_uid": "course_81f4461a09a3e6c844c539a7", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Huifang Xu" ], "a": 115, "ab": 91, "b": 38, "bc": 13, "c": 9, "d": 2, "f": 2, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 21, "not_reported": 0, "other": 0, "total": 293, "source_aliases": [ "GEOSCI 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI 331", "course_uid": "course_81f4461a09a3e6c844c539a7", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Huifang Xu" ], "a": 144, "ab": 66, "b": 20, "bc": 7, "c": 6, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 6, "not_reported": 0, "other": 0, "total": 249, "source_aliases": [ "GEOSCI 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI 331", "course_uid": "course_81f4461a09a3e6c844c539a7", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Huifang Xu" ], "a": 151, "ab": 52, "b": 26, "bc": 18, "c": 15, "d": 13, "f": 1, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 14, "not_reported": 0, "other": 0, "total": 292, "source_aliases": [ "GEOSCI 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI 331", "course_uid": "course_81f4461a09a3e6c844c539a7", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Huifang Xu" ], "a": 169, "ab": 41, "b": 13, "bc": 5, "c": 3, "d": 3, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 16, "not_reported": 0, "other": 0, "total": 251, "source_aliases": [ "GEOSCI 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI 331", "course_uid": "course_81f4461a09a3e6c844c539a7", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Huifang Xu" ], "a": 219, "ab": 40, "b": 15, "bc": 4, "c": 2, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 16, "not_reported": 0, "other": 0, "total": 297, "source_aliases": [ "GEOSCI 331" ] } ] ``` ### statistics #### gpa 3.325 #### graded 7466 #### counts * 2792 * 1973 * 1301 * 681 * 456 * 230 * 33 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_81f4461a09a3e6c844c539a7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_81f4461a09a3e6c844c539a7-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_81f4461a09a3e6c844c539a7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_81f4461a09a3e6c844c539a7-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_81f4461a09a3e6c844c539a7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_81f4461a09a3e6c844c539a7-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_81f4461a09a3e6c844c539a7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_81f4461a09a3e6c844c539a7-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.3245379051701045 #### count 7466 #### university ##### size 5731 ##### gpa Percentile 13 ##### count Percentile 98 ##### median Count 229 ##### 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 | 369 | false | | 3.2–3.6 | 1581 | true | | 3.6–4.0 | 3771 | false | #### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 52, "gpaPercentile": 39, "countPercentile": 98, "medianCount": 308.5, "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": 15, "current": false }, { "range": "3.2–3.6", "count": 21, "current": true }, { "range": "3.6–4.0", "count": 16, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 2.992957746478873 ##### count 142 ##### university ###### size 723 ###### gpa Percentile 18 ###### 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 | 1 | false | | 2.4–2.8 | 62 | false | | 2.8–3.2 | 174 | true | | 3.2–3.6 | 306 | false | | 3.6–4.0 | 180 | false | ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | #### 1074 ##### term 1074 ##### gpa 3.331896551724138 ##### count 464 ##### university ###### size 695 ###### gpa Percentile 49 ###### count Percentile 98 ###### 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 | 3 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 184 | false | | 3.2–3.6 | 256 | true | | 3.6–4.0 | 199 | false | ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | #### 1082 ##### term 1082 ##### gpa 3.305755395683453 ##### count 139 ##### university ###### size 723 ###### gpa Percentile 45 ###### count Percentile 77 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 51 | false | | 2.8–3.2 | 202 | false | | 3.2–3.6 | 265 | true | | 3.6–4.0 | 204 | false | ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | #### 1084 ##### term 1084 ##### gpa 3.267515923566879 ##### count 157 ##### university ###### size 720 ###### gpa Percentile 41 ###### count Percentile 82 ###### 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 | 3 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 207 | false | | 3.2–3.6 | 248 | true | | 3.6–4.0 | 217 | false | ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | #### 1092 ##### term 1092 ##### gpa 3.0580645161290323 ##### count 155 ##### university ###### size 732 ###### gpa Percentile 22 ###### count Percentile 80 ###### 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 | 41 | false | | 2.8–3.2 | 208 | true | | 3.2–3.6 | 271 | false | | 3.6–4.0 | 211 | false | ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | #### 1094 ##### term 1094 ##### gpa 3.2864583333333335 ##### count 192 ##### university ###### size 758 ###### gpa Percentile 42 ###### count Percentile 87 ###### median Count 71 ###### 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 | 35 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 259 | true | | 3.6–4.0 | 236 | false | ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | #### 1102 ##### term 1102 ##### gpa 3.0796178343949046 ##### count 157 ##### university ###### size 774 ###### gpa Percentile 24 ###### count Percentile 82 ###### 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 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | true | | 3.2–3.6 | 287 | false | | 3.6–4.0 | 235 | false | ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | #### 1104 ##### term 1104 ##### gpa 3.2780898876404496 ##### count 178 ##### university ###### size 793 ###### gpa Percentile 39 ###### count Percentile 86 ###### 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 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | false | | 3.2–3.6 | 294 | true | | 3.6–4.0 | 241 | false | ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | #### 1112 ##### term 1112 ##### gpa 3.3403614457831323 ##### count 166 ##### university ###### size 805 ###### gpa Percentile 47 ###### 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 | 45 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 316 | true | | 3.6–4.0 | 225 | false | ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | #### 1114 ##### term 1114 ##### gpa 3.193298969072165 ##### count 194 ##### university ###### size 804 ###### gpa Percentile 35 ###### count Percentile 89 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 231 | true | | 3.2–3.6 | 292 | false | | 3.6–4.0 | 227 | false | ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | #### 1132 ##### term 1132 ##### gpa 3.109154929577465 ##### count 142 ##### university ###### size 851 ###### gpa Percentile 24 ###### count Percentile 81 ###### 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 | 40 | false | | 2.8–3.2 | 234 | true | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 13, "gpaPercentile": 50, "countPercentile": 83, "medianCount": 57, "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": 7, "current": true }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 3.2635135135135136 ##### count 148 ##### university ###### size 852 ###### gpa Percentile 37 ###### 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 | 2 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 304 | true | | 3.6–4.0 | 287 | false | ##### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 10, "gpaPercentile": 89, "countPercentile": 67, "medianCount": 91, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 1, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.1888111888111887 ##### count 143 ##### university ###### size 853 ###### gpa Percentile 30 ###### count Percentile 81 ###### 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 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | true | | 3.2–3.6 | 320 | false | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 10, "gpaPercentile": 78, "countPercentile": 67, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": true }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 3.413612565445026 ##### count 191 ##### university ###### size 878 ###### gpa Percentile 51 ###### count Percentile 90 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | true | | 3.6–4.0 | 299 | false | ##### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 11, "gpaPercentile": 80, "countPercentile": 90, "medianCount": 80, "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": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 2, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.307894736842105 ##### count 190 ##### university ###### size 918 ###### gpa Percentile 40 ###### count Percentile 88 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 16, "gpaPercentile": 87, "countPercentile": 87, "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": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 2, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 3.2908163265306123 ##### count 196 ##### university ###### size 935 ###### gpa Percentile 37 ###### count Percentile 90 ###### median Count 63 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 38 | false | | 2.8–3.2 | 237 | false | | 3.2–3.6 | 326 | true | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 13, "gpaPercentile": 67, "countPercentile": 83, "medianCount": 80, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.1041666666666665 ##### count 192 ##### university ###### size 954 ###### gpa Percentile 20 ###### count Percentile 89 ###### median Count 64.5 ###### 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 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | true | | 3.2–3.6 | 350 | false | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 13, "gpaPercentile": 58, "countPercentile": 92, "medianCount": 83, "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": 9, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.156398104265403 ##### count 211 ##### university ###### size 965 ###### gpa Percentile 23 ###### count Percentile 91 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | true | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 14, "gpaPercentile": 69, "countPercentile": 92, "medianCount": 73.5, "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": 11, "current": true }, { "range": "3.2–3.6", "count": 0, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.123684210526316 ##### count 190 ##### university ###### size 991 ###### gpa Percentile 20 ###### count Percentile 88 ###### 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 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | true | | 3.2–3.6 | 353 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 12, "gpaPercentile": 27, "countPercentile": 91, "medianCount": 74, "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": 6, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.0640495867768593 ##### count 242 ##### university ###### size 955 ###### gpa Percentile 15 ###### count Percentile 92 ###### 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 | 1 | false | | 2.4–2.8 | 29 | false | | 2.8–3.2 | 224 | true | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 11, "gpaPercentile": 20, "countPercentile": 90, "medianCount": 72, "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": 8, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.051813471502591 ##### count 193 ##### university ###### size 1025 ###### gpa Percentile 14 ###### count Percentile 88 ###### 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 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | true | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 14, "gpaPercentile": 38, "countPercentile": 85, "medianCount": 64, "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": 8, "current": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.2538860103626943 ##### count 193 ##### university ###### size 1010 ###### gpa Percentile 27 ###### count Percentile 89 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 11, "gpaPercentile": 70, "countPercentile": 90, "medianCount": 94, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 2.9081632653061225 ##### count 196 ##### university ###### size 1077 ###### gpa Percentile 4 ###### count Percentile 88 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | true | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 13, "gpaPercentile": 8, "countPercentile": 75, "medianCount": 65, "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": 7, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.0833333333333335 ##### count 192 ##### university ###### size 1040 ###### gpa Percentile 16 ###### count Percentile 89 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | true | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 12, "gpaPercentile": 27, "countPercentile": 82, "medianCount": 89, "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": 6, "current": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.194300518134715 ##### count 193 ##### university ###### size 1102 ###### gpa Percentile 21 ###### count Percentile 87 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 12, "gpaPercentile": 27, "countPercentile": 73, "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": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.2583892617449663 ##### count 149 ##### university ###### size 1111 ###### gpa Percentile 18 ###### count Percentile 80 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | true | | 3.6–4.0 | 611 | false | ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | #### 1222 ##### term 1222 ##### gpa 3.337962962962963 ##### count 216 ##### university ###### size 1157 ###### gpa Percentile 25 ###### count Percentile 88 ###### 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 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | true | | 3.6–4.0 | 614 | false | ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | #### 1224 ##### term 1224 ##### gpa 3.5086206896551726 ##### count 290 ##### university ###### size 1171 ###### gpa Percentile 39 ###### count Percentile 93 ###### 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 | true | | 3.6–4.0 | 616 | false | ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | #### 1232 ##### term 1232 ##### gpa 3.513157894736842 ##### count 228 ##### university ###### size 1216 ###### gpa Percentile 37 ###### count Percentile 88 ###### 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 | true | | 3.6–4.0 | 670 | false | ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | #### 1234 ##### term 1234 ##### gpa 3.5698924731182795 ##### count 279 ##### university ###### size 1188 ###### gpa Percentile 42 ###### count Percentile 92 ###### 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 | true | | 3.6–4.0 | 650 | false | ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | #### 1242 ##### term 1242 ##### gpa 3.524489795918367 ##### count 245 ##### university ###### size 1295 ###### gpa Percentile 36 ###### count Percentile 90 ###### 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 | true | | 3.6–4.0 | 726 | false | ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | #### 1244 ##### term 1244 ##### gpa 3.5 ##### count 270 ##### university ###### size 1241 ###### gpa Percentile 33 ###### count Percentile 92 ###### 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 | subject | comparison | | ------- | ---------- | | GEOSCI | | #### 1252 ##### term 1252 ##### gpa 3.6893004115226335 ##### count 243 ##### university ###### size 1333 ###### gpa Percentile 51 ###### count Percentile 90 ###### 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": "GEOSCI", "comparison": { "size": 10, "gpaPercentile": 78, "countPercentile": 89, "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": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.449275362318841 ##### count 276 ##### university ###### size 1289 ###### gpa Percentile 27 ###### count Percentile 92 ###### 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": "GEOSCI", "comparison": { "size": 11, "gpaPercentile": 50, "countPercentile": 90, "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 3.7606837606837606 ##### count 234 ##### university ###### size 1320 ###### gpa Percentile 58 ###### count Percentile 89 ###### 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 | subject | comparison | | ------- | ---------- | | GEOSCI | | #### 1264 ##### term 1264 ##### gpa 3.8392857142857144 ##### count 280 ##### university ###### size 1283 ###### gpa Percentile 69 ###### count Percentile 92 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | true | ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | ### benchmarks #### all ##### school ###### size 5731 ###### gpa 3.6707849015619702 ###### top Share 82.513380279121 ###### count 229 ##### GEOSCI ###### size 52 ###### gpa 3.4396030918804334 ###### top Share 67.81278847070625 ###### count 308.5 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### GEOSCI ###### size 13 ###### gpa 3.2078077438519887 ###### top Share 53.02973333574706 ###### count 57 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### GEOSCI ###### size 10 ###### gpa 3.089237199204707 ###### top Share 45.43328180077456 ###### count 91 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### GEOSCI ###### size 10 ###### gpa 3.1203334721685794 ###### top Share 49.92264000451773 ###### count 87 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### GEOSCI ###### size 11 ###### gpa 3.1601253454941385 ###### top Share 51.857516870675866 ###### count 80 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### GEOSCI ###### size 16 ###### gpa 3.1133622666098173 ###### top Share 45.502003791012335 ###### count 57.5 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### GEOSCI ###### size 13 ###### gpa 3.1646553658694145 ###### top Share 50.11318388589153 ###### count 80 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### GEOSCI ###### size 13 ###### gpa 3.0969919052891512 ###### top Share 44.17120890690046 ###### count 83 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### GEOSCI ###### size 14 ###### gpa 3.2137820985544794 ###### top Share 49.20560075234573 ###### count 73.5 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### GEOSCI ###### size 12 ###### gpa 3.332469037218154 ###### top Share 60.983357038393144 ###### count 74 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### GEOSCI ###### size 11 ###### gpa 3.1584797032853653 ###### top Share 50.14301045566438 ###### count 72 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### GEOSCI ###### size 14 ###### gpa 3.2749466933418137 ###### top Share 54.68273808359606 ###### count 64 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### GEOSCI ###### size 11 ###### gpa 3.1425506343723693 ###### top Share 48.82893340583678 ###### count 94 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### GEOSCI ###### size 13 ###### gpa 3.2616249441842324 ###### top Share 55.69237807550567 ###### count 65 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### GEOSCI ###### size 12 ###### gpa 3.20054210725147 ###### top Share 55.586944980657215 ###### count 89 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### GEOSCI ###### size 12 ###### gpa 3.2900356120117817 ###### top Share 57.229039635187995 ###### count 102.5 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### 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 ###### 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 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_4d06bd94ed86c780f96cc923", "name": "HUIFANG XU", "count": 7466, "terms": [ { "term": "1072", "count": 142, "sections": 1, "gpa": 2.992957746478873 }, { "term": "1074", "count": 464, "sections": 1, "gpa": 3.331896551724138 }, { "term": "1082", "count": 139, "sections": 1, "gpa": 3.305755395683453 }, { "term": "1084", "count": 157, "sections": 1, "gpa": 3.267515923566879 }, { "term": "1092", "count": 155, "sections": 1, "gpa": 3.0580645161290323 }, { "term": "1094", "count": 192, "sections": 1, "gpa": 3.2864583333333335 }, { "term": "1102", "count": 157, "sections": 1, "gpa": 3.0796178343949046 }, { "term": "1104", "count": 178, "sections": 1, "gpa": 3.2780898876404496 }, { "term": "1112", "count": 166, "sections": 1, "gpa": 3.3403614457831323 }, { "term": "1114", "count": 194, "sections": 1, "gpa": 3.193298969072165 }, { "term": "1132", "count": 142, "sections": 1, "gpa": 3.109154929577465 }, { "term": "1134", "count": 148, "sections": 1, "gpa": 3.2635135135135136 }, { "term": "1142", "count": 143, "sections": 1, "gpa": 3.1888111888111887 }, { "term": "1144", "count": 191, "sections": 1, "gpa": 3.413612565445026 }, { "term": "1152", "count": 190, "sections": 1, "gpa": 3.307894736842105 }, { "term": "1154", "count": 196, "sections": 1, "gpa": 3.2908163265306123 }, { "term": "1162", "count": 192, "sections": 1, "gpa": 3.1041666666666665 }, { "term": "1164", "count": 211, "sections": 1, "gpa": 3.156398104265403 }, { "term": "1172", "count": 190, "sections": 1, "gpa": 3.123684210526316 }, { "term": "1174", "count": 242, "sections": 1, "gpa": 3.0640495867768593 }, { "term": "1182", "count": 193, "sections": 1, "gpa": 3.051813471502591 }, { "term": "1184", "count": 193, "sections": 1, "gpa": 3.2538860103626943 }, { "term": "1192", "count": 196, "sections": 1, "gpa": 2.9081632653061225 }, { "term": "1194", "count": 192, "sections": 1, "gpa": 3.0833333333333335 }, { "term": "1202", "count": 193, "sections": 1, "gpa": 3.194300518134715 }, { "term": "1212", "count": 149, "sections": 1, "gpa": 3.2583892617449663 }, { "term": "1222", "count": 216, "sections": 1, "gpa": 3.337962962962963 }, { "term": "1224", "count": 290, "sections": 2, "gpa": 3.5086206896551726 }, { "term": "1232", "count": 228, "sections": 1, "gpa": 3.513157894736842 }, { "term": "1234", "count": 279, "sections": 2, "gpa": 3.5698924731182795 }, { "term": "1242", "count": 245, "sections": 1, "gpa": 3.524489795918367 }, { "term": "1244", "count": 270, "sections": 2, "gpa": 3.5 }, { "term": "1252", "count": 243, "sections": 1, "gpa": 3.6893004115226335 }, { "term": "1254", "count": 276, "sections": 2, "gpa": 3.449275362318841 }, { "term": "1262", "count": 234, "sections": 1, "gpa": 3.7606837606837606 }, { "term": "1264", "count": 280, "sections": 2, "gpa": 3.8392857142857144 } ] }, { "uid": "instructor_5bb8fa9d4dd96de1d26d1b09", "name": "BRYN ASHLEY BENFORD", "count": 464, "terms": [ { "term": "1074", "count": 464, "sections": 1, "gpa": 3.331896551724138 } ] }, { "uid": "instructor_63705fe0ad9b95d477abe915", "name": "GEORGE ERIC TANGALOS", "count": 464, "terms": [ { "term": "1074", "count": 464, "sections": 1, "gpa": 3.331896551724138 } ] }, { "uid": "instructor_6c09280c6319fc9f827655c7", "name": "SEANN DAVID MCCLURE", "count": 464, "terms": [ { "term": "1074", "count": 464, "sections": 1, "gpa": 3.331896551724138 } ] }, { "uid": "instructor_758cc9ace451f4ea15aaecd2", "name": "PAUL R RILEY", "count": 464, "terms": [ { "term": "1074", "count": 464, "sections": 1, "gpa": 3.331896551724138 } ] }, { "uid": "instructor_e60f1ffa80636881a20364c3", "name": "JIE XU", "count": 464, "terms": [ { "term": "1074", "count": 464, "sections": 1, "gpa": 3.331896551724138 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### interval #### lower 3.28 #### upper 3.94 #### coverage 80 #### terms 8 ### gpa 3.609520475673642 ### grades | grade | percentage | | ----- | ------------------ | | A | 56.34027670204499 | | AB | 26.335655880066643 | | B | 9.392945401597046 | | BC | 3.68672614754661 | | C | 2.2660392255846857 | | D | 1.4884151541239283 | | F | 0.4899414890360842 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 1166 ### same Season true ### historical Range * 3.3379629629629637 * 3.76068376068376 ### backtest #### terms 8 #### gpa Error 0.2285960316630133 #### mix Error 19.447666562803594