# BSE 301: Land Information Management | UW–Madison [View on UW Courses](https://uwcourses.com/courses/BSE_301) ## 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 291511faefb93393727353fa76feb49b5b464525ee380c0708598840ee4fb837 ### course id BSE 301 ### course uid course\_0d993962189e9bd01ce06c1f ### catalog version id 1d4f18c15f06921ced080e926722da4e6b1a09a718eb330336e81d4369d91834 ### course number 301 ### subjects * BSE ### title LAND INFORMATION MANAGEMENT ### description An introduction to land information management through the principles of geospatial technologies and methods for analysis and interpretation of geospatial data. Includes both the basic land surveying technology and advanced remote observation of land resources by airborne and space-based sensors. ### requirements text MATH 113,114, or 217 ### credits min 3 ### credits max 3 ### credit offering ids * 1272:112:026157 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 8af80ea887b9e635302832fd4230932c01dd37681f057d644fc93fa250ed9d14 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary BSE 301 introduces land information management using geospatial technologies, surveying, and remote sensing for data analysis. ### llm topics * Geospatial technologies * Geospatial data analysis * Land surveying * Remote observation ### llm skills * Analysis and interpretation of geospatial data * Land surveying technology * Remote observation of land resources ### llm assumed background * Trigonometry and problem-solving skills * Algebra and trigonometry skills ### llm search phrases * land information management * geospatial technologies * remote sensing * land surveying * BSE 301 ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 53e2e7da693d0910e4141349685e1d14b5a17ba0806e35d11d6873f5fc634d5c #### course id BSE 301 #### current instructors ```json [ { "instructor_uid": "instructor_89ddaa1a7c559406b347f320", "message": "No course-specific reviews available", "name": "Zhou Zhang", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "BSE 301", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6f3ecfd7-a7fe-3ebd-a21c-af12a8c27b74", "source_record": { "entity_id": "6f3ecfd7-a7fe-3ebd-a21c-af12a8c27b74", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "BSE 301", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6f3ecfd7-a7fe-3ebd-a21c-af12a8c27b74", "source_record": { "entity_id": "6f3ecfd7-a7fe-3ebd-a21c-af12a8c27b74", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BSE 301", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6f3ecfd7-a7fe-3ebd-a21c-af12a8c27b74", "source_record": { "entity_id": "6f3ecfd7-a7fe-3ebd-a21c-af12a8c27b74", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" } ], "text": "Recent recorded grades — Fall 2022: 3.50 GPA, 82.1% A/AB (n=28 letter grades); Fall 2023: 3.67 GPA, 95.0% A/AB (n=20 letter grades); Fall 2024: 3.56 GPA, 93.5% A/AB (n=31 letter grades)." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Fall 2022: 3.50 GPA, 82.1% A/AB (n=28 letter grades); Fall 2023: 3.67 GPA, 95.0% A/AB (n=20 letter grades); Fall 2024: 3.56 GPA, 93.5% A/AB (n=31 letter grades). ```json { "citations": [ { "course_id": "BSE 301", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "6f3ecfd7-a7fe-3ebd-a21c-af12a8c27b74", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "BSE 301", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "6f3ecfd7-a7fe-3ebd-a21c-af12a8c27b74", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BSE 301", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "6f3ecfd7-a7fe-3ebd-a21c-af12a8c27b74", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ZHOU ZHANG is recorded teaching in Fall 2022, Fall 2023, Fall 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "BSE 301", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6f3ecfd7-a7fe-3ebd-a21c-af12a8c27b74", "source_record": { "entity_id": "6f3ecfd7-a7fe-3ebd-a21c-af12a8c27b74", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "BSE 301", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6f3ecfd7-a7fe-3ebd-a21c-af12a8c27b74", "source_record": { "entity_id": "6f3ecfd7-a7fe-3ebd-a21c-af12a8c27b74", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BSE 301", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6f3ecfd7-a7fe-3ebd-a21c-af12a8c27b74", "source_record": { "entity_id": "6f3ecfd7-a7fe-3ebd-a21c-af12a8c27b74", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "MATH 113,114, or 217", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 113, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 113", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 114, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "114", "id": "n2", "kind": "course" }, { "children": [], "condition": "217", "course": null, "evidence": "217", "id": "n3", "kind": "condition" } ] ``` #### notes * MATH 217 is mentioned in requirements\_text but not found in linked\_courses or lookup results. It is treated as a verbatim condition requiring review. #### root n0 #### status needs\_review ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ---------- | ------------------- | -------------------------------- | -------------------------------- | ------------------------ | | instructor\_89ddaa1a7c559406b347f320 | enrollment | zzhang347 | netid | source\_identified | Zhou Zhang | ZZHANG347\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/ZHOU\_ZHANG | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:112:026157", "course_id": "BSE 301", "course_uid": "course_0d993962189e9bd01ce06c1f", "term_id": "1272", "source_course_id": "026157", "source_subject_id": "112", "title": "Land Information Management", "credits_min": 3, "credits_max": 3, "typically_offered": "Not Applicable" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:36759", "term_id": "1272", "source_section_id": "36759", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 50, "enrolled": 44, "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_0cfe6a00a5217d4fc289efb9", "source": "madgrades", "source_instructor_id": "5162668", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHOU ZHANG", "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": 3.63, "graded": 193, "counts": [ 83, 94, 10, 3, 0, 2, 1 ], "sections": 33 }, "instructor_url": "/instructors/ZHOU_ZHANG--instructor_0cfe6a00a5217d4fc289efb9" }, { "instructor_uid": "instructor_89ddaa1a7c559406b347f320", "source": "enrollment", "source_instructor_id": "zzhang347", "identity_basis": "netid", "identity_status": "source_identified", "name": "Zhou Zhang", "email": "ZZHANG347@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/ZHOU_ZHANG" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BSE 301", "course_uid": "course_0d993962189e9bd01ce06c1f", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Zhou Zhang" ], "a": 10, "ab": 13, "b": 3, "bc": 1, "c": 0, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 28, "source_aliases": [ "BSE 301" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BSE 301", "course_uid": "course_0d993962189e9bd01ce06c1f", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Zhou Zhang" ], "a": 8, "ab": 11, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 20, "source_aliases": [ "BSE 301" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BSE 301", "course_uid": "course_0d993962189e9bd01ce06c1f", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Zhou Zhang" ], "a": 10, "ab": 19, "b": 1, "bc": 0, "c": 0, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 31, "source_aliases": [ "BSE 301" ] } ] ``` ### statistics #### gpa 3.57 #### graded 79 #### counts * 28 * 43 * 5 * 1 * 0 * 2 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_0d993962189e9bd01ce06c1f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_0d993962189e9bd01ce06c1f-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_0d993962189e9bd01ce06c1f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_0d993962189e9bd01ce06c1f-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_0d993962189e9bd01ce06c1f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_0d993962189e9bd01ce06c1f-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_0d993962189e9bd01ce06c1f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_0d993962189e9bd01ce06c1f-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.569620253164557 #### count 79 #### university ##### size 2406 ##### gpa Percentile 32 ##### count Percentile 43 ##### median Count 92 ##### 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 | 9 | false | | 2.8–3.2 | 185 | false | | 3.2–3.6 | 657 | true | | 3.6–4.0 | 1554 | false | #### departments ```json [ { "subject": "BSE", "comparison": { "size": 10, "gpaPercentile": 78, "countPercentile": 44, "medianCount": 90, "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": 6, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` ### terms #### 1232 ##### term 1232 ##### gpa 3.5 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | BSE | | #### 1242 ##### term 1242 ##### gpa 3.675 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | BSE | | #### 1252 ##### term 1252 ##### gpa 3.564516129032258 ##### count 31 ##### university ###### size 1333 ###### gpa Percentile 39 ###### count Percentile 3 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | true | | 3.6–4.0 | 773 | false | ##### departments | subject | comparison | | ------- | ---------- | | BSE | | ### benchmarks #### all ##### school ###### size 2406 ###### gpa 3.6643556325340287 ###### top Share 82.40214185687067 ###### count 92 ##### BSE ###### size 10 ###### gpa 3.4328140176710753 ###### top Share 69.49276433273603 ###### count 90 #### terms ##### 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 ## instructor Trends ```json [ { "uid": "instructor_0cfe6a00a5217d4fc289efb9", "name": "ZHOU ZHANG", "count": 79, "terms": [ { "term": "1232", "count": 28, "sections": 1, "gpa": 3.5 }, { "term": "1242", "count": 20, "sections": 1, "gpa": 3.675 }, { "term": "1252", "count": 31, "sections": 1, "gpa": 3.564516129032258 } ] } ] ``` ## following None recorded.