# GEOG 573: Advanced Geocomputing and Geospatial Big Data Analytics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/GEOG_573) ## 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 ada3c6e57b671ae0ba252ee74eac5719d2c975bd9f3c1ad99433aa6e0e60be88 ### course id GEOG 573 ### course uid course\_383500a29b0ac797184420a8 ### catalog version id a6d62b4e75fc4ff475e3984746d35316b0a0461a7f3b3095e50596118c584bec ### course number 573 ### subjects * GEOG ### title ADVANCED GEOCOMPUTING AND GEOSPATIAL BIG DATA ANALYTICS ### description Geospatial big data is an extension of big data with an emphasis on the geospatial component. It is used to describe large volumes of georeferenced data about various aspects of the environment and society captured by millions of environmental and human sensors. An introduction to the theory, techniques, and analytical methods for geospatial big data. Methods for storing, processing, analyzing, and visualizing various types of geospatial big data using advanced Python programming will be introduced. Designed for students who have programming experience and want to reinforce their programming skills and learn AI and machine learning methods for solving geospatial big data problems. ### requirements text GEOG 378,COMP SCI 220, or graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id de5a963a87a0981f0846920ec61d2b1eeded2586bd3246fa8124b993f1f0ef58 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduction to theory, techniques, and analytical methods for geospatial big data using advanced Python. ### llm topics * Geospatial big data theory and components. * Geospatial big data storage, processing, and visualization. * AI and machine learning for geospatial problems. ### llm skills * Storing, processing, analyzing, and visualizing geospatial big data. * Applying AI and machine learning methods to geospatial problems. ### llm assumed background * Programming experience and background in geocomputing or data science programming. ### llm search phrases * geospatial big data analytics * Python geospatial programming * GIS big data visualization * machine learning geospatial ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash d5a6a84d30a9a87dab6bf392412db8bf9ab62c71939a5092f9c9942f95a86617 #### course id GEOG 573 #### current instructors None recorded. #### difficulty workload Historical reviews of Song Gao: The course is described as challenging, with one student noting it was among the most difficult they have taken. Preparation involves engaging with Python3, Jupyter Notebooks, Pandas, and GeoPandas for spatial analysis. ```json { "citations": [ { "instructor_name": "Song Gao", "review_date": "2022-05-20 18:28:48 +0000 UTC", "review_id": "9c94afa3dcda19d0f6d5cfef", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2313819", "source_review_id": "UmF0aW5nLTM2MzgyODQz", "source_url": "https://www.ratemyprofessors.com/professor/2313819", "type": "review" }, { "instructor_name": "Song Gao", "review_date": "2022-05-20 18:31:47 +0000 UTC", "review_id": "a973f9950386eb5ad3dd40ec", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2313819", "source_review_id": "UmF0aW5nLTM2MzgyODY0", "source_url": "https://www.ratemyprofessors.com/professor/2313819", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Song Gao: Song Gao is described as a fantastic and responsible instructor who provides useful academic materials and patient support. Reviewers highlight the course's appropriate mix of technical geocomputing and real-world applications, noting that lectures and labs are highly useful for learning GIS and data science concepts. ```json { "citations": [ { "instructor_name": "Song Gao", "review_date": "2020-05-15 14:06:37 +0000 UTC", "review_id": "39068253257ed9b00c2b6eb3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2313819", "source_review_id": "UmF0aW5nLTMzMzAzNzY0", "source_url": "https://www.ratemyprofessors.com/professor/2313819", "type": "review" }, { "instructor_name": "Song Gao", "review_date": "2020-05-15 14:09:59 +0000 UTC", "review_id": "fd914b2c4d7d622cfe801e09", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2313819", "source_review_id": "UmF0aW5nLTMzMzAzNzgy", "source_url": "https://www.ratemyprofessors.com/professor/2313819", "type": "review" }, { "instructor_name": "Song Gao", "review_date": "2020-05-17 21:19:16 +0000 UTC", "review_id": "15b932af2eedeae09eccb28c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2313819", "source_review_id": "UmF0aW5nLTMzMzE4OTU5", "source_url": "https://www.ratemyprofessors.com/professor/2313819", "type": "review" }, { "instructor_name": "Song Gao", "review_date": "2020-05-17 21:27:13 +0000 UTC", "review_id": "e43c1e917978355ea523dd5e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2313819", "source_review_id": "UmF0aW5nLTMzMzE4OTk5", "source_url": "https://www.ratemyprofessors.com/professor/2313819", "type": "review" }, { "instructor_name": "Song Gao", "review_date": "2020-05-23 23:23:29 +0000 UTC", "review_id": "4dc462e9ec1ea7fa5fd48ee6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2313819", "source_review_id": "UmF0aW5nLTMzMzYxODgy", "source_url": "https://www.ratemyprofessors.com/professor/2313819", "type": "review" }, { "instructor_name": "Song Gao", "review_date": "2022-05-20 18:28:48 +0000 UTC", "review_id": "9c94afa3dcda19d0f6d5cfef", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2313819", "source_review_id": "UmF0aW5nLTM2MzgyODQz", "source_url": "https://www.ratemyprofessors.com/professor/2313819", "type": "review" }, { "instructor_name": "Song Gao", "review_date": "2022-05-20 18:31:47 +0000 UTC", "review_id": "a973f9950386eb5ad3dd40ec", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2313819", "source_review_id": "UmF0aW5nLTM2MzgyODY0", "source_url": "https://www.ratemyprofessors.com/professor/2313819", "type": "review" } ] } ``` #### offered false #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews of Song Gao: Reviewers describe the course as excellent and well-organized, offering a strong mix of technical geocomputing and real-world applications. Students consistently recommend it for those interested in GIS and data science, citing high quality and practical value. ```json { "citations": [ { "instructor_name": "Song Gao", "review_date": "2020-05-15 14:06:37 +0000 UTC", "review_id": "39068253257ed9b00c2b6eb3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2313819", "source_review_id": "UmF0aW5nLTMzMzAzNzY0", "source_url": "https://www.ratemyprofessors.com/professor/2313819", "type": "review" }, { "instructor_name": "Song Gao", "review_date": "2020-05-15 14:09:59 +0000 UTC", "review_id": "fd914b2c4d7d622cfe801e09", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2313819", "source_review_id": "UmF0aW5nLTMzMzAzNzgy", "source_url": "https://www.ratemyprofessors.com/professor/2313819", "type": "review" }, { "instructor_name": "Song Gao", "review_date": "2020-05-17 21:19:16 +0000 UTC", "review_id": "15b932af2eedeae09eccb28c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2313819", "source_review_id": "UmF0aW5nLTMzMzE4OTU5", "source_url": "https://www.ratemyprofessors.com/professor/2313819", "type": "review" }, { "instructor_name": "Song Gao", "review_date": "2020-05-17 21:27:13 +0000 UTC", "review_id": "e43c1e917978355ea523dd5e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2313819", "source_review_id": "UmF0aW5nLTMzMzE4OTk5", "source_url": "https://www.ratemyprofessors.com/professor/2313819", "type": "review" }, { "instructor_name": "Song Gao", "review_date": "2020-05-23 23:23:29 +0000 UTC", "review_id": "4dc462e9ec1ea7fa5fd48ee6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2313819", "source_review_id": "UmF0aW5nLTMzMzYxODgy", "source_url": "https://www.ratemyprofessors.com/professor/2313819", "type": "review" }, { "instructor_name": "Song Gao", "review_date": "2022-05-20 18:28:48 +0000 UTC", "review_id": "9c94afa3dcda19d0f6d5cfef", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2313819", "source_review_id": "UmF0aW5nLTM2MzgyODQz", "source_url": "https://www.ratemyprofessors.com/professor/2313819", "type": "review" }, { "instructor_name": "Song Gao", "review_date": "2022-05-20 18:31:47 +0000 UTC", "review_id": "a973f9950386eb5ad3dd40ec", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2313819", "source_review_id": "UmF0aW5nLTM2MzgyODY0", "source_url": "https://www.ratemyprofessors.com/professor/2313819", "type": "review" } ] } ``` Recent recorded grades — Spring 2023: 3.87 GPA, 93.5% A/AB (n=31 letter grades); Spring 2025: 3.90 GPA, 93.9% A/AB (n=49 letter grades); Spring 2026: 3.91 GPA, 100.0% A/AB (n=51 letter grades). ```json { "citations": [ { "course_id": "GEOG 573", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "42e1731a-00ca-3142-882d-c72781cacf4b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "GEOG 573", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "42e1731a-00ca-3142-882d-c72781cacf4b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "GEOG 573", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "42e1731a-00ca-3142-882d-c72781cacf4b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Song Gao, Yuhao Kang: Students praise the responsible and helpful nature of the instructor and TA, who provide useful academic materials and patient support. The final project is highlighted as a great way to test newly learned skills. ```json { "citations": [ { "instructor_name": "Song Gao", "review_date": "2020-05-15 14:09:59 +0000 UTC", "review_id": "fd914b2c4d7d622cfe801e09", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2313819", "source_review_id": "UmF0aW5nLTMzMzAzNzgy", "source_url": "https://www.ratemyprofessors.com/professor/2313819", "type": "review" }, { "instructor_name": "Song Gao", "review_date": "2020-05-17 21:19:16 +0000 UTC", "review_id": "15b932af2eedeae09eccb28c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2313819", "source_review_id": "UmF0aW5nLTMzMzE4OTU5", "source_url": "https://www.ratemyprofessors.com/professor/2313819", "type": "review" }, { "instructor_name": "Yuhao Kang", "review_date": "2021-02-03 17:25:45 +0000 UTC", "review_id": "ae72ca8bba2f077b0fa18938", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2622819", "source_review_id": "UmF0aW5nLTM0MzM4ODk2", "source_url": "https://www.ratemyprofessors.com/professor/2622819", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history SONG GAO is recorded teaching in Spring 2020, Spring 2022, Spring 2023, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "GEOG 573", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "42e1731a-00ca-3142-882d-c72781cacf4b", "source_record": { "entity_id": "42e1731a-00ca-3142-882d-c72781cacf4b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "GEOG 573", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "42e1731a-00ca-3142-882d-c72781cacf4b", "source_record": { "entity_id": "42e1731a-00ca-3142-882d-c72781cacf4b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "GEOG 573", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "42e1731a-00ca-3142-882d-c72781cacf4b", "source_record": { "entity_id": "42e1731a-00ca-3142-882d-c72781cacf4b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "GEOG 573", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "42e1731a-00ca-3142-882d-c72781cacf4b", "source_record": { "entity_id": "42e1731a-00ca-3142-882d-c72781cacf4b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "GEOG 573", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "42e1731a-00ca-3142-882d-c72781cacf4b", "source_record": { "entity_id": "42e1731a-00ca-3142-882d-c72781cacf4b", "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": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "GEOG 378,COMP SCI 220, or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 378, "minimum_grade": null, "subjects": [ "GEOG" ], "timing": "prior" }, "evidence": "GEOG 378", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 220, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "COMP SCI 220", "id": "n2", "kind": "course" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n3", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_ba710d4784ce71f46c828e9d", "source": "madgrades", "source_instructor_id": "6040641", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SONG GAO", "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": 28, "quality": 4.71, "difficulty": 3.54, "quality_count": 28, "difficulty_count": 28, "profile_id": "rmp:2313819", "source_url": "https://www.ratemyprofessors.com/professor/2313819", "match_basis": "exact_name", "observed_at": "2026-09-07 16:05:21.178373+00:00", "courses": { "course_6b09a761a0eeeecdbbd88dc8": { "review_count": 13, "quality": 4.38, "difficulty": 3.46, "quality_count": 13, "difficulty_count": 13 }, "course_383500a29b0ac797184420a8": { "review_count": 7, "quality": 5, "difficulty": 3.57, "quality_count": 7, "difficulty_count": 7 }, "course_1049f8ea4b6f06a27858f913": { "review_count": 5, "quality": 5, "difficulty": 3.8, "quality_count": 5, "difficulty_count": 5 } }, "bayesian_quality": 4.272369076477748, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.819, "graded": 530, "counts": [ 406, 80, 29, 8, 6, 1, 0 ], "sections": 52 }, "instructor_url": "/instructors/SONG_GAO--instructor_ba710d4784ce71f46c828e9d" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOG 573", "course_uid": "course_383500a29b0ac797184420a8", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Song Gao" ], "a": 19, "ab": 2, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 21, "source_aliases": [ "GEOG 573" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOG 573", "course_uid": "course_383500a29b0ac797184420a8", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Song Gao" ], "a": 9, "ab": 3, "b": 1, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 14, "source_aliases": [ "GEOG 573" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOG 573", "course_uid": "course_383500a29b0ac797184420a8", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Song Gao" ], "a": 25, "ab": 4, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 31, "source_aliases": [ "GEOG 573" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOG 573", "course_uid": "course_383500a29b0ac797184420a8", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Song Gao" ], "a": 43, "ab": 3, "b": 2, "bc": 1, "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": 49, "source_aliases": [ "GEOG 573" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GEOG 573", "course_uid": "course_383500a29b0ac797184420a8", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Song Gao" ], "a": 42, "ab": 9, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 51, "source_aliases": [ "GEOG 573" ] } ] ``` ### statistics #### gpa 3.886 #### graded 166 #### counts * 138 * 21 * 5 * 1 * 1 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_383500a29b0ac797184420a8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_383500a29b0ac797184420a8-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_383500a29b0ac797184420a8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_383500a29b0ac797184420a8-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_383500a29b0ac797184420a8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_383500a29b0ac797184420a8-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_383500a29b0ac797184420a8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_383500a29b0ac797184420a8-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.8855421686746987 #### count 166 #### university ##### size 2976 ##### gpa Percentile 70 ##### count Percentile 65 ##### median Count 107 ##### 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 | 12 | false | | 2.8–3.2 | 156 | false | | 3.2–3.6 | 730 | false | | 3.6–4.0 | 2078 | true | #### departments ```json [ { "subject": "GEOG", "comparison": { "size": 48, "gpaPercentile": 85, "countPercentile": 64, "medianCount": 87, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 28, "current": true } ] } } ] ``` ### terms #### 1204 ##### term 1204 ##### gpa 3.9523809523809526 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | GEOG | | #### 1224 ##### term 1224 ##### gpa 3.6785714285714284 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | GEOG | | #### 1234 ##### term 1234 ##### gpa 3.870967741935484 ##### count 31 ##### university ###### size 1188 ###### gpa Percentile 76 ###### count Percentile 3 ###### 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 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "GEOG", "comparison": { "size": 20, "gpaPercentile": 95, "countPercentile": 0, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.8979591836734695 ##### count 49 ##### university ###### size 1289 ###### gpa Percentile 81 ###### count Percentile 34 ###### 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 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "GEOG", "comparison": { "size": 22, "gpaPercentile": 95, "countPercentile": 29, "medianCount": 73, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.911764705882353 ##### count 51 ##### university ###### size 1283 ###### gpa Percentile 81 ###### count Percentile 36 ###### 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 ```json [ { "subject": "GEOG", "comparison": { "size": 24, "gpaPercentile": 100, "countPercentile": 30, "medianCount": 69.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 2976 ###### gpa 3.697976635645292 ###### top Share 84.34407292284556 ###### count 107 ##### GEOG ###### size 48 ###### gpa 3.6274865107000576 ###### top Share 81.28615996412907 ###### count 87 #### terms ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### GEOG ###### size 18 ###### gpa 3.582718246474726 ###### top Share 76.43639814202594 ###### count 78.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### GEOG ###### size 20 ###### gpa 3.4618333551122022 ###### top Share 71.12507541597725 ###### count 73 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### GEOG ###### size 20 ###### gpa 3.443558312357458 ###### top Share 69.37000071893554 ###### count 86 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### GEOG ###### size 22 ###### gpa 3.5765534265131054 ###### top Share 77.77119788550397 ###### count 73 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### GEOG ###### size 24 ###### gpa 3.5370488567946716 ###### top Share 76.3701545252745 ###### count 69.5 ## instructor Trends ```json [ { "uid": "instructor_ba710d4784ce71f46c828e9d", "name": "SONG GAO", "count": 166, "terms": [ { "term": "1204", "count": 21, "sections": 1, "gpa": 3.9523809523809526 }, { "term": "1224", "count": 14, "sections": 1, "gpa": 3.6785714285714284 }, { "term": "1234", "count": 31, "sections": 1, "gpa": 3.870967741935484 }, { "term": "1254", "count": 49, "sections": 1, "gpa": 3.8979591836734695 }, { "term": "1264", "count": 51, "sections": 1, "gpa": 3.911764705882353 } ] } ] ``` ## following None recorded.