# GEOSCI/GLE 360: Principles of Mineralogy | UW–Madison [View on UW Courses](https://uwcourses.com/courses/GEOSCI_GLE_360) ## 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 db4c59c26fcc3e9045ee77eb59aa69bad442e5cb963c7e3d1a8c35d8b787a497 ### course id GEOSCI/GLE 360 ### course uid course\_c12870ea5f4395a0bdc83d31 ### catalog version id 684c9d0545a1ffadb7f8d7387183c1a6d70bd0799c0d015d83a7939e7adab674 ### course number 360 ### subjects * GEOSCI * GLE ### title PRINCIPLES OF MINERALOGY ### description Minerals, their physical and chemical properties, crystallography, and geologic significance. ### requirements text (GEOSCI 100orENVIR ST/​GEOSCI  106) and (CHEM 103,109,115, or concurrent enrollment), graduate/professional standing, or member of Engineering Guest Students ### credits min 3 ### credits max 3 ### credit offering ids * 1272:418:008499 * 1272:420:008499 ### llm job id enrich-ecd149b6a6e0877fce2f3d1c ### llm output id ff5a4e591a83e542c2da05c80715f1610953c3a0342558365ee6a3d33653718b ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Principles of Mineralogy covers mineral properties, crystallography, and geologic significance. ### llm topics * Minerals * Physical and chemical properties * Crystallography * Geologic significance ### llm skills * Analysis of mineral physical and chemical properties * Understanding crystallography * Evaluating geologic significance of minerals ### llm assumed background * Introductory geology and earth processes * General chemistry principles including bonding, structure, and lab skills ### llm search phrases * mineralogy course * principles of mineralogy GEOSCI 360 * mineral properties crystallography * geology prerequisites chemistry ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 1199b3352e1fe68b4548c6bfa4d7a6aa4ee40a90d6f4c9273e936b0138c79e1d #### course id GEOSCI/GLE 360 #### 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": "2015-11-10 12:29:49 +0000 UTC", "review_id": "834baef5ce1e84e6dcf0a7af", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTI1MzgwMjgx", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" }, { "instructor_name": "Huifang Xu", "review_date": "2021-04-14 01:48:53 +0000 UTC", "review_id": "8cada1b6a072932e265df116", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTM0NTQ3MzI2", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" } ], "text": "Huifang Xu delivers engaging and fun lectures, though students find the content dense with memorization. Reviewers note that tests are tricky and difficult, and online lectures can be confusing due to visual clutter on slides." }, { "citations": [ { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.48 GPA, 76.0% A/AB (n=25 letter grades); Fall 2024: 3.37 GPA, 66.7% A/AB (n=15 letter grades); Fall 2025: 3.43 GPA, 81.0% A/AB (n=21 letter grades)." } ] } ] ``` #### difficulty workload The course requires significant memorization of facts, and the textbook is considered very necessary for success. ```json { "citations": [ { "instructor_name": "Huifang Xu", "review_date": "2021-04-14 01:48:53 +0000 UTC", "review_id": "8cada1b6a072932e265df116", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTM0NTQ3MzI2", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for instructor Phil Brown describe him as engaging and helpful, noting his ability to explain difficult concepts effectively. Reviewers suggest attending office hours to manage the course's difficulty, which can be challenging at times. ```json { "citations": [ { "instructor_name": "Phil Brown", "review_date": "2015-11-10 12:34:36 +0000 UTC", "review_id": "bd89d599ed4011c6c28d3006", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:337735", "source_review_id": "UmF0aW5nLTI1MzgwMzIz", "source_url": "https://www.ratemyprofessors.com/professor/337735", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Huifang Xu delivers engaging and fun lectures, though students find the content challenging and the exams difficult. ```json { "citations": [ { "instructor_name": "Huifang Xu", "review_date": "2015-11-10 12:29:49 +0000 UTC", "review_id": "834baef5ce1e84e6dcf0a7af", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTI1MzgwMjgx", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" }, { "instructor_name": "Huifang Xu", "review_date": "2021-04-14 01:48:53 +0000 UTC", "review_id": "8cada1b6a072932e265df116", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTM0NTQ3MzI2", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" } ] } ``` Recent recorded grades — Fall 2023: 3.48 GPA, 76.0% A/AB (n=25 letter grades); Fall 2024: 3.37 GPA, 66.7% A/AB (n=15 letter grades); Fall 2025: 3.43 GPA, 81.0% A/AB (n=21 letter grades). ```json { "citations": [ { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience Lectures can be confusing due to dense slides or writing over words, but attending office hours is recommended. ```json { "citations": [ { "instructor_name": "Huifang Xu", "review_date": "2015-11-10 12:29:49 +0000 UTC", "review_id": "834baef5ce1e84e6dcf0a7af", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTI1MzgwMjgx", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" }, { "instructor_name": "Huifang Xu", "review_date": "2021-04-14 01:48:53 +0000 UTC", "review_id": "8cada1b6a072932e265df116", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1136169", "source_review_id": "UmF0aW5nLTM0NTQ3MzI2", "source_url": "https://www.ratemyprofessors.com/professor/1136169", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history HUIFANG XU is recorded teaching in Fall 2010, Fall 2012, Fall 2013, Fall 2014, Fall 2015, Fall 2016, Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` PHILIP BROWN is recorded teaching in Fall 2010, Fall 2011, Fall 2012, Fall 2013, Fall 2014, Fall 2015, Fall 2016, Fall 2017, Fall 2018. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "GEOSCI/GLE 360", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "source_record": { "entity_id": "c253517d-2a49-3821-9fac-26d0670d86eb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "(GEOSCI 100orENVIR ST/GEOSCI 106) and (CHEM 103,109,115, or concurrent enrollment), graduate/professional standing, or member of Engineering Guest Students", "id": "n0", "kind": "any" }, { "children": [ "n4", "n5" ], "condition": null, "course": null, "evidence": "(GEOSCI 100orENVIR ST/GEOSCI 106) and (CHEM 103,109,115, or concurrent enrollment)", "id": "n1", "kind": "all" }, { "children": [ "n6", "n7", "n8", "n9" ], "condition": null, "course": null, "evidence": "CHEM 103,109,115, or concurrent enrollment", "id": "n2", "kind": "any" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n3", "kind": "condition" }, { "children": [], "condition": "member of Engineering Guest Students", "course": null, "evidence": "member of Engineering Guest Students", "id": "n4", "kind": "condition" }, { "children": [ "n10", "n11" ], "condition": null, "course": null, "evidence": "GEOSCI 100orENVIR ST/GEOSCI 106", "id": "n5", "kind": "any" }, { "children": [], "condition": "CHEM 103,109,115, or concurrent enrollment", "course": null, "evidence": "CHEM 103,109,115, or concurrent enrollment", "id": "n6", "kind": "condition" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n7", "kind": "condition" }, { "children": [], "condition": "member of Engineering Guest Students", "course": null, "evidence": "member of Engineering Guest Students", "id": "n8", "kind": "condition" }, { "children": [], "condition": "CHEM 103,109,115, or concurrent enrollment", "course": null, "evidence": "CHEM 103,109,115, or concurrent enrollment", "id": "n9", "kind": "condition" }, { "children": [], "condition": "GEOSCI 100", "course": null, "evidence": "GEOSCI 100", "id": "n10", "kind": "condition" }, { "children": [], "condition": "ENVIR ST/GEOSCI 106", "course": null, "evidence": "ENVIR ST/GEOSCI 106", "id": "n11", "kind": "condition" } ] ``` #### notes * GEOSCI 100 and ENVIR ST/GEOSCI 106 are unlinked in requirements\_text; treated as verbatim conditions. * CHEM 103, 109, 115 are unlinked in requirements\_text; treated as verbatim conditions. * Concurrent enrollment is a condition leaf. * Graduate/professional standing and Engineering Guest Students are condition leaves. #### root n0 #### status needs\_review ### 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" }, { "instructor_uid": "instructor_41b139ddc6f35d477a983b62", "source": "enrollment", "source_instructor_id": "nmbrown3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Noah Brown", "email": "NMBROWN3@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/NOAH_BROWN" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:418:008499", "course_id": "GEOSCI/GLE 360", "course_uid": "course_c12870ea5f4395a0bdc83d31", "term_id": "1272", "source_course_id": "008499", "source_subject_id": "418", "title": "Principles of Mineralogy", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:420:008499", "course_id": "GEOSCI/GLE 360", "course_uid": "course_c12870ea5f4395a0bdc83d31", "term_id": "1272", "source_course_id": "008499", "source_subject_id": "420", "title": "Principles of Mineralogy", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:12270", "term_id": "1272", "source_section_id": "12270", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 48, "enrolled": 1, "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:1272:12271", "term_id": "1272", "source_section_id": "12271", "identity_basis": "class_number", "section_number": "301", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 12, "enrolled": 1, "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:1272:12272", "term_id": "1272", "source_section_id": "12272", "identity_basis": "class_number", "section_number": "302", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 12, "enrolled": 0, "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:1272:15394", "term_id": "1272", "source_section_id": "15394", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 38, "enrolled": 22, "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:1272:15517", "term_id": "1272", "source_section_id": "15517", "identity_basis": "class_number", "section_number": "301", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 19, "enrolled": 9, "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:1272:15889", "term_id": "1272", "source_section_id": "15889", "identity_basis": "class_number", "section_number": "302", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 19, "enrolled": 13, "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_b5e006946bd892fb30e7c420", "source": "madgrades", "source_instructor_id": "2601758", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PHILIP BROWN", "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": 3.135, "graded": 1549, "counts": [ 442, 278, 430, 165, 187, 39, 8 ], "sections": 102 }, "instructor_url": "/instructors/PHILIP_BROWN--instructor_b5e006946bd892fb30e7c420" }, { "instructor_uid": "instructor_7b58d77d35f99d7c3a3467a5", "source": "madgrades", "source_instructor_id": "4715891", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YIHANG FANG", "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": 3.348, "graded": 23, "counts": [ 7, 7, 5, 3, 1, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/YIHANG_FANG--instructor_7b58d77d35f99d7c3a3467a5" }, { "instructor_uid": "instructor_7bc8be0c873d8de6f958f4c9", "source": "madgrades", "source_instructor_id": "6211868", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TIANYU ZHOU", "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": 3.348, "graded": 23, "counts": [ 7, 7, 5, 3, 1, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/TIANYU_ZHOU--instructor_7bc8be0c873d8de6f958f4c9" }, { "instructor_uid": "instructor_41b139ddc6f35d477a983b62", "source": "enrollment", "source_instructor_id": "nmbrown3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Noah Brown", "email": "NMBROWN3@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/NOAH_BROWN" }, { "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/GLE 360", "course_uid": "course_c12870ea5f4395a0bdc83d31", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "Huifang Xu", "PHILIP BROWN" ], "a": 3, "ab": 2, "b": 1, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 8, "source_aliases": [ "GEOSCI/GLE 360" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI/GLE 360", "course_uid": "course_c12870ea5f4395a0bdc83d31", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "PHILIP BROWN" ], "a": 9, "ab": 10, "b": 13, "bc": 8, "c": 7, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 50, "source_aliases": [ "GEOSCI/GLE 360" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI/GLE 360", "course_uid": "course_c12870ea5f4395a0bdc83d31", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "Huifang Xu", "PHILIP BROWN" ], "a": 11, "ab": 8, "b": 15, "bc": 12, "c": 8, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 58, "source_aliases": [ "GEOSCI/GLE 360" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI/GLE 360", "course_uid": "course_c12870ea5f4395a0bdc83d31", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "Huifang Xu", "PHILIP BROWN" ], "a": 17, "ab": 9, "b": 14, "bc": 13, "c": 12, "d": 5, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 72, "source_aliases": [ "GEOSCI/GLE 360" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI/GLE 360", "course_uid": "course_c12870ea5f4395a0bdc83d31", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "Huifang Xu", "PHILIP BROWN" ], "a": 17, "ab": 13, "b": 26, "bc": 7, "c": 17, "d": 2, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 83, "source_aliases": [ "GEOSCI/GLE 360" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI/GLE 360", "course_uid": "course_c12870ea5f4395a0bdc83d31", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "Huifang Xu", "PHILIP BROWN" ], "a": 15, "ab": 19, "b": 17, "bc": 20, "c": 14, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 88, "source_aliases": [ "GEOSCI/GLE 360" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI/GLE 360", "course_uid": "course_c12870ea5f4395a0bdc83d31", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "Huifang Xu", "PHILIP BROWN" ], "a": 14, "ab": 7, "b": 26, "bc": 10, "c": 14, "d": 4, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 75, "source_aliases": [ "GEOSCI/GLE 360" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI/GLE 360", "course_uid": "course_c12870ea5f4395a0bdc83d31", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "Huifang Xu", "PHILIP BROWN" ], "a": 10, "ab": 15, "b": 19, "bc": 6, "c": 10, "d": 1, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 63, "source_aliases": [ "GEOSCI/GLE 360" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI/GLE 360", "course_uid": "course_c12870ea5f4395a0bdc83d31", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Huifang Xu", "PHILIP BROWN" ], "a": 5, "ab": 7, "b": 7, "bc": 4, "c": 4, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 27, "source_aliases": [ "GEOSCI/GLE 360" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI/GLE 360", "course_uid": "course_c12870ea5f4395a0bdc83d31", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Huifang Xu" ], "a": 15, "ab": 9, "b": 6, "bc": 3, "c": 1, "d": 0, "f": 1, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 36, "source_aliases": [ "GEOSCI/GLE 360" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI/GLE 360", "course_uid": "course_c12870ea5f4395a0bdc83d31", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Huifang Xu", "TIANYU ZHOU", "YIHANG FANG" ], "a": 7, "ab": 7, "b": 5, "bc": 3, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 23, "source_aliases": [ "GEOSCI/GLE 360" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI/GLE 360", "course_uid": "course_c12870ea5f4395a0bdc83d31", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Huifang Xu" ], "a": 5, "ab": 5, "b": 3, "bc": 1, "c": 3, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 17, "source_aliases": [ "GEOSCI/GLE 360" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI/GLE 360", "course_uid": "course_c12870ea5f4395a0bdc83d31", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Huifang Xu" ], "a": 9, "ab": 7, "b": 2, "bc": 0, "c": 1, "d": 1, "f": 1, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 23, "source_aliases": [ "GEOSCI/GLE 360" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI/GLE 360", "course_uid": "course_c12870ea5f4395a0bdc83d31", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Huifang Xu" ], "a": 8, "ab": 11, "b": 4, "bc": 1, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 26, "source_aliases": [ "GEOSCI/GLE 360" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI/GLE 360", "course_uid": "course_c12870ea5f4395a0bdc83d31", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Huifang Xu" ], "a": 4, "ab": 6, "b": 3, "bc": 1, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 16, "source_aliases": [ "GEOSCI/GLE 360" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOSCI/GLE 360", "course_uid": "course_c12870ea5f4395a0bdc83d31", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Huifang Xu" ], "a": 7, "ab": 10, "b": 2, "bc": 0, "c": 1, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 22, "source_aliases": [ "GEOSCI/GLE 360" ] } ] ``` ### statistics #### gpa 3.055 #### graded 674 #### counts * 156 * 145 * 163 * 91 * 95 * 21 * 3 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_c12870ea5f4395a0bdc83d31-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_c12870ea5f4395a0bdc83d31-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_c12870ea5f4395a0bdc83d31-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_c12870ea5f4395a0bdc83d31-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_c12870ea5f4395a0bdc83d31-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_c12870ea5f4395a0bdc83d31-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_c12870ea5f4395a0bdc83d31-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_c12870ea5f4395a0bdc83d31-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_c12870ea5f4395a0bdc83d31-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_c12870ea5f4395a0bdc83d31-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.0548961424332344 #### count 674 #### university ##### size 3962 ##### gpa Percentile 3 ##### count Percentile 81 ##### median Count 177 ##### 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 | 287 | true | | 3.2–3.6 | 1106 | false | | 3.6–4.0 | 2560 | false | #### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 30, "gpaPercentile": 10, "countPercentile": 69, "medianCount": 389, "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": true }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } }, { "subject": "GLE", "comparison": { "size": 15, "gpaPercentile": 7, "countPercentile": 79, "medianCount": 230, "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": 6, "current": false } ] } } ] ``` ### terms #### 1112 ##### term 1112 ##### gpa 3.375 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | | GLE | | #### 1122 ##### term 1122 ##### gpa 2.979591836734694 ##### count 49 ##### university ###### size 804 ###### gpa Percentile 15 ###### count Percentile 33 ###### 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 | 47 | false | | 2.8–3.2 | 224 | true | | 3.2–3.6 | 282 | false | | 3.6–4.0 | 248 | false | ##### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 10, "gpaPercentile": 22, "countPercentile": 33, "medianCount": 65.5, "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": 5, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "GLE", "comparison": null } ] ``` #### 1132 ##### term 1132 ##### gpa 2.912280701754386 ##### count 57 ##### university ###### size 851 ###### gpa Percentile 9 ###### count Percentile 43 ###### 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": 8, "countPercentile": 50, "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 } ] } }, { "subject": "GLE", "comparison": null } ] ``` #### 1142 ##### term 1142 ##### gpa 2.859154929577465 ##### count 71 ##### university ###### size 853 ###### gpa Percentile 6 ###### count Percentile 52 ###### 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": 22, "countPercentile": 44, "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 } ] } }, { "subject": "GLE", "comparison": null } ] ``` #### 1152 ##### term 1152 ##### gpa 2.9878048780487805 ##### count 82 ##### university ###### size 918 ###### gpa Percentile 13 ###### count Percentile 59 ###### 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 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 16, "gpaPercentile": 33, "countPercentile": 60, "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": true }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "GLE", "comparison": null } ] ``` #### 1162 ##### term 1162 ##### gpa 2.9597701149425286 ##### count 87 ##### university ###### size 954 ###### gpa Percentile 10 ###### count Percentile 64 ###### 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": 17, "countPercentile": 58, "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 } ] } }, { "subject": "GLE", "comparison": null } ] ``` #### 1172 ##### term 1172 ##### gpa 2.8733333333333335 ##### count 75 ##### university ###### size 991 ###### gpa Percentile 4 ###### count Percentile 56 ###### 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": 0, "countPercentile": 55, "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 } ] } }, { "subject": "GLE", "comparison": null } ] ``` #### 1182 ##### term 1182 ##### gpa 3.040983606557377 ##### count 61 ##### university ###### size 1025 ###### gpa Percentile 14 ###### count Percentile 43 ###### 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": 31, "countPercentile": 31, "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 } ] } }, { "subject": "GLE", "comparison": null } ] ``` #### 1192 ##### term 1192 ##### gpa 3.0925925925925926 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | | GLE | | #### 1202 ##### term 1202 ##### gpa 3.4 ##### count 35 ##### university ###### size 1102 ###### gpa Percentile 37 ###### count Percentile 11 ###### 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 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "GEOSCI", "comparison": { "size": 12, "gpaPercentile": 73, "countPercentile": 9, "medianCount": 102.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "GLE", "comparison": null } ] ``` #### 1212 ##### term 1212 ##### gpa 3.347826086956522 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | | GLE | | #### 1222 ##### term 1222 ##### gpa 3.235294117647059 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | | GLE | | #### 1232 ##### term 1232 ##### gpa 3.3095238095238093 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | | GLE | | #### 1242 ##### term 1242 ##### gpa 3.48 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | | GLE | | #### 1252 ##### term 1252 ##### gpa 3.3666666666666667 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | | GLE | | #### 1262 ##### term 1262 ##### gpa 3.4285714285714284 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | GEOSCI | | | GLE | | ### benchmarks #### all ##### school ###### size 3962 ###### gpa 3.6633586396502626 ###### top Share 82.08042123858637 ###### count 177 ##### GEOSCI ###### size 30 ###### gpa 3.4436301244151344 ###### top Share 67.56401175955914 ###### count 389 ##### GLE ###### size 15 ###### gpa 3.4266848415707347 ###### top Share 65.25726882092586 ###### count 230 #### terms ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### GEOSCI ###### size 10 ###### gpa 3.0528744591670582 ###### top Share 37.50882974352119 ###### count 65.5 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ##### 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 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ## instructor Trends ```json [ { "uid": "instructor_4d06bd94ed86c780f96cc923", "name": "HUIFANG XU", "count": 625, "terms": [ { "term": "1112", "count": 8, "sections": 1, "gpa": 3.375 }, { "term": "1132", "count": 57, "sections": 1, "gpa": 2.912280701754386 }, { "term": "1142", "count": 71, "sections": 1, "gpa": 2.859154929577465 }, { "term": "1152", "count": 82, "sections": 1, "gpa": 2.9878048780487805 }, { "term": "1162", "count": 87, "sections": 1, "gpa": 2.9597701149425286 }, { "term": "1172", "count": 75, "sections": 1, "gpa": 2.8733333333333335 }, { "term": "1182", "count": 61, "sections": 1, "gpa": 3.040983606557377 }, { "term": "1192", "count": 27, "sections": 1, "gpa": 3.0925925925925926 }, { "term": "1202", "count": 35, "sections": 1, "gpa": 3.4 }, { "term": "1212", "count": 23, "sections": 1, "gpa": 3.347826086956522 }, { "term": "1222", "count": 17, "sections": 1, "gpa": 3.235294117647059 }, { "term": "1232", "count": 21, "sections": 1, "gpa": 3.3095238095238093 }, { "term": "1242", "count": 25, "sections": 1, "gpa": 3.48 }, { "term": "1252", "count": 15, "sections": 1, "gpa": 3.3666666666666667 }, { "term": "1262", "count": 21, "sections": 1, "gpa": 3.4285714285714284 } ] }, { "uid": "instructor_b5e006946bd892fb30e7c420", "name": "PHILIP BROWN", "count": 517, "terms": [ { "term": "1112", "count": 8, "sections": 1, "gpa": 3.375 }, { "term": "1122", "count": 49, "sections": 1, "gpa": 2.979591836734694 }, { "term": "1132", "count": 57, "sections": 1, "gpa": 2.912280701754386 }, { "term": "1142", "count": 71, "sections": 1, "gpa": 2.859154929577465 }, { "term": "1152", "count": 82, "sections": 1, "gpa": 2.9878048780487805 }, { "term": "1162", "count": 87, "sections": 1, "gpa": 2.9597701149425286 }, { "term": "1172", "count": 75, "sections": 1, "gpa": 2.8733333333333335 }, { "term": "1182", "count": 61, "sections": 1, "gpa": 3.040983606557377 }, { "term": "1192", "count": 27, "sections": 1, "gpa": 3.0925925925925926 } ] }, { "uid": "instructor_7b58d77d35f99d7c3a3467a5", "name": "YIHANG FANG", "count": 23, "terms": [ { "term": "1212", "count": 23, "sections": 1, "gpa": 3.347826086956522 } ] }, { "uid": "instructor_7bc8be0c873d8de6f958f4c9", "name": "TIANYU ZHOU", "count": 23, "terms": [ { "term": "1212", "count": 23, "sections": 1, "gpa": 3.347826086956522 } ] } ] ``` ## following | code | title | | -------------- | -------------------------------- | | GEOSCI 375 | PRINCIPLES OF GEOCHEMISTRY | | GEOSCI/GLE 370 | ELEMENTARY PETROLOGY | | GEOSCI/GLE 431 | SEDIMENTOLOGY & STRATIGRAPHY LAB |