# CIVENGR/ENVIRST/GEOSCI/GLE 444: Practical Applications of GPS Surveying | UW–Madison [View on UW Courses](https://uwcourses.com/courses/CIVENGR_ENVIRST_GEOSCI_GLE_444) ## 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 5bcdbb558f20fdac524b4e6cd8281d2413a0637c394267f1741acdeb23bdfd63 ### course id CIVENGR/ENVIRST/GEOSCI/GLE 444 ### course uid course\_e56a766140bb7e6d78c1ff4a ### catalog version id 71476af90279a2ec3902c847df7418523e0b3f0c14202b2a35f2843b0c285d67 ### course number 444 ### subjects * CIVENGR * ENVIRST * GEOSCI * GLE ### title PRACTICAL APPLICATIONS OF GPS SURVEYING ### description Global positioning system surveying for field applications. Signals. Coordinate systems. Datums. Cartographic projections. Satellite orbits. Choosing hardware. Strategies for data collection and analysis. Assessing uncertainty. Geocoding satellite images. Integrating data with Geographic Information Systems. Emerging technologies. ### requirements text MATH 211, 217,221, or graduate/professional standing, or member of Engineering Guest Students ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id f0e9707b0e8e26a208c11c2c6b114487e6339b93e6eb19bec853a04d7ee1fddd ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Practical applications of GPS surveying, covering signals, coordinate systems, data collection, and GIS integration. ### llm topics * GPS signals, coordinate systems, datums, cartographic projections, and satellite orbits. * Geocoding satellite images, GIS integration, and emerging technologies. ### llm skills * GPS surveying, data collection and analysis strategies, and GIS integration. * Uncertainty assessment and hardware selection for surveying. ### llm assumed background * Calculus fundamentals including differential and integral concepts, analytic geometry, and transcendental functions. ### llm search phrases * GPS surveying field applications * geocoding satellite images * coordinate systems datums * Geographic Information Systems integration * practical GPS applications ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash af3934754dfd5ac8c4c96b5ba5f72ef674632f906d420e00edef1818fff1d26a #### course id CIVENGR/ENVIRST/GEOSCI/GLE 444 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2019: 3.58 GPA, 66.7% A/AB (n=6 letter grades); Spring 2025: 3.78 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departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 59, "gpaPercentile": 36, "countPercentile": 45, "medianCount": 108, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 23, "current": true }, { "range": "3.6–4.0", "count": 31, "current": false } ] } }, { "subject": "ENVIRST", "comparison": { "size": 82, "gpaPercentile": 26, "countPercentile": 33, "medianCount": 149.5, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 31, "current": true }, { "range": "3.6–4.0", "count": 42, "current": false } ] } }, { "subject": "GEOSCI", "comparison": { "size": 31, "gpaPercentile": 63, "countPercentile": 37, "medianCount": 127, "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": 10, "current": false }, { "range": "3.2–3.6", "count": 17, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "GLE", "comparison": { "size": 15, "gpaPercentile": 57, "countPercentile": 36, "medianCount": 127, "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": 4, "current": false } ] } } ] ``` ### terms #### 1084 ##### term 1084 ##### gpa 3.269230769230769 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | ENVIRST | | | GEOSCI | | | GLE | | #### 1094 ##### term 1094 ##### gpa 3.5 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | ENVIRST | | | GEOSCI | | | GLE | | #### 1104 ##### term 1104 ##### gpa 3.138888888888889 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | ENVIRST | | | GEOSCI | | | GLE | | #### 1114 ##### term 1114 ##### gpa 3.4722222222222223 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | ENVIRST | | | GEOSCI | | | GLE | | #### 1154 ##### term 1154 ##### gpa 3.4375 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | ENVIRST | | | GEOSCI | | | GLE | | #### 1174 ##### term 1174 ##### gpa 3.7142857142857144 ##### count 7 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | ENVIRST | | | GEOSCI | | | GLE | | #### 1194 ##### term 1194 ##### gpa 3.5833333333333335 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | ENVIRST | | | GEOSCI | | | GLE | | #### 1254 ##### term 1254 ##### gpa 3.7777777777777777 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | ENVIRST | | | GEOSCI | | | GLE | | #### 1264 ##### term 1264 ##### gpa 3.611111111111111 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | ENVIRST | | | GEOSCI | | | GLE | | ### benchmarks #### all ##### school ###### size 3636 ###### gpa 3.6413440671154143 ###### top Share 80.8186899710001 ###### count 123 ##### CIVENGR ###### size 59 ###### gpa 3.577076440728867 ###### top Share 75.41788278665614 ###### count 108 ##### ENVIRST ###### size 82 ###### gpa 3.578997553102854 ###### top Share 77.36460430176811 ###### count 149.5 ##### GEOSCI ###### size 31 ###### gpa 3.360342046504711 ###### top Share 63.5533273765339 ###### count 127 ##### GLE ###### size 15 ###### gpa 3.408374913615307 ###### top Share 63.585964669608195 ###### count 127 #### terms ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### ENVIRST ###### size 22 ###### gpa 3.3438049799097342 ###### top Share 63.38433357191689 ###### count 81.5 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### CIVENGR ###### size 15 ###### gpa 3.2526611351772896 ###### top Share 54.00496377565016 ###### count 48 ###### ENVIRST ###### size 22 ###### gpa 3.3740786700724956 ###### top Share 63.43088007363776 ###### count 84.5 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### CIVENGR ###### size 17 ###### gpa 3.251328628457445 ###### top Share 52.15473961830104 ###### count 43 ###### ENVIRST ###### size 23 ###### gpa 3.3264228655870562 ###### top Share 60.99262830990342 ###### count 84 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### CIVENGR ###### size 13 ###### gpa 3.2147516091230894 ###### top Share 51.24096246642488 ###### count 57 ###### ENVIRST ###### size 23 ###### gpa 3.3114065010541607 ###### top Share 62.006423277995694 ###### count 75 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### CIVENGR ###### size 16 ###### gpa 3.295463500578994 ###### top Share 55.46476198978767 ###### count 56.5 ###### ENVIRST ###### size 25 ###### gpa 3.314594606138296 ###### top Share 57.94116213387098 ###### count 98 ###### GEOSCI ###### size 13 ###### gpa 3.1646553658694145 ###### top Share 50.11318388589153 ###### count 80 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### CIVENGR ###### size 21 ###### gpa 3.4471467371588043 ###### top Share 65.34015451804262 ###### count 59 ###### ENVIRST ###### size 23 ###### gpa 3.3969795166316823 ###### top Share 64.55356191608905 ###### count 112 ###### GEOSCI ###### size 11 ###### gpa 3.1584797032853653 ###### top Share 50.14301045566438 ###### count 72 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### CIVENGR ###### size 16 ###### gpa 3.468224629784374 ###### top Share 64.49032891306767 ###### count 52.5 ###### ENVIRST ###### size 33 ###### gpa 3.4218680960158707 ###### top Share 67.70381437883378 ###### count 72 ###### GEOSCI ###### size 12 ###### gpa 3.20054210725147 ###### top Share 55.586944980657215 ###### count 89 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### CIVENGR ###### size 14 ###### gpa 3.4665052233829408 ###### top Share 67.99195870574239 ###### count 41.5 ###### ENVIRST ###### size 35 ###### gpa 3.562190005068061 ###### top Share 74.74595421679987 ###### count 75 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### CIVENGR ###### size 19 ###### gpa 3.501755911121444 ###### top Share 71.4094131799063 ###### count 46 ###### ENVIRST ###### size 39 ###### gpa 3.6271091837384972 ###### top Share 80.50128090125337 ###### count 73 ###### GEOSCI ###### size 11 ###### gpa 3.4683975607136763 ###### top Share 71.36857364724828 ###### count 86 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### CIVENGR ###### size 21 ###### gpa 3.55545513949179 ###### top Share 75.0908671021143 ###### count 53 ###### ENVIRST ###### size 39 ###### gpa 3.6234319124309753 ###### top Share 80.66171436378418 ###### count 70 ## instructor Trends ```json [ { "uid": "instructor_31b936895980d476c3d9b3c8", "name": "KURT FEIGL", "count": 101, "terms": [ { "term": "1084", "count": 13, "sections": 1, "gpa": 3.269230769230769 }, { "term": "1094", "count": 13, "sections": 1, "gpa": 3.5 }, { "term": "1104", "count": 18, "sections": 1, "gpa": 3.138888888888889 }, { "term": "1114", "count": 18, "sections": 1, "gpa": 3.4722222222222223 }, { "term": "1154", "count": 8, "sections": 1, "gpa": 3.4375 }, { "term": "1174", "count": 7, "sections": 1, "gpa": 3.7142857142857144 }, { "term": "1194", "count": 6, "sections": 1, "gpa": 3.5833333333333335 }, { "term": "1254", "count": 9, "sections": 1, "gpa": 3.7777777777777777 }, { "term": "1264", "count": 9, "sections": 1, "gpa": 3.611111111111111 } ] } ] ``` ## following None recorded.