# ENVIRST/LANDARC 581: Prescribed Fire: Ecology and Implementation | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ENVIRST_LANDARC_581) ## 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 45bd641b081a8b1fa80dcce2c66e24b1007ce6932adbf70038c235bdc9d5d79c ### course id ENVIRST/LANDARC 581 ### course uid course\_334436877e4a4f357adebe11 ### catalog version id 331ad12ec2a2c9b022f2423c5242734b14366f698723a9294f3111307bc39392 ### course number 581 ### subjects * ENVIRST * LANDARC ### title PRESCRIBED FIRE: ECOLOGY AND IMPLEMENTATION ### description Covers the use of live fire in land management and provides a background in fire ecology, fire behavior, fire effects, and the prediction of fire behavior for wetland, prairie and savanna fuels. Instruction includes field training with live fire exercises and the use of fire management equipment. Participate in prescribed burns outside of scheduled class times. Confers certificates of completion that qualify an individual to participate on prescribed fire crews with public and private sector organizations. ### requirements text Junior standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id a1e4735d595849ce7778d3cc10130f8aec7ba40ddadec18ac890919adcc2ed5d ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers fire ecology, behavior, and effects, teaching live fire implementation and prediction for various fuels through field training. ### llm topics * Fire ecology and behavior * Fuel type specific prediction * Prescribed burn participation ### llm skills * Live fire implementation * Fire behavior prediction * Field training and equipment use ### llm assumed background None recorded. ### llm search phrases * prescribed fire training * fire ecology field work * wildland fire behavior * fire effects savanna * live fire exercises * fire management equipment ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash d7dd23458f8f8867f43dbef06e1e9ae2e7c95cbd60804dd823e1c67b75df732b #### course id ENVIRST/LANDARC 581 #### 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 2024: 3.85 GPA, 95.5% A/AB (n=44 letter grades); Spring 2025: 3.96 GPA, 97.9% A/AB (n=48 letter grades); Spring 2026: 3.89 GPA, 97.8% A/AB (n=45 letter grades). ```json { "citations": [ { "course_id": "ENVIRST/LANDARC 581", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4130114c-b751-33c5-85ac-2319cd1c3b9f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "ENVIRST/LANDARC 581", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4130114c-b751-33c5-85ac-2319cd1c3b9f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ENVIRST/LANDARC 581", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4130114c-b751-33c5-85ac-2319cd1c3b9f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Junior standing", "course": null, "evidence": "Junior standing", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_0f8113c0dde0ab69c89df924", "source": "madgrades", "source_instructor_id": "890150", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JEB BARZEN", "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": 3.867, "graded": 109, "counts": [ 87, 17, 4, 0, 1, 0, 0 ], "sections": 5 }, "instructor_url": "/instructors/JEB_BARZEN" }, { "instructor_uid": "instructor_60bafe36c10b63c2c539bd5c", "source": "madgrades", "source_instructor_id": "6655064", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ROBERT NURRE", "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": 3.891, "graded": 115, "counts": [ 102, 9, 2, 0, 1, 0, 1 ], "sections": 5 }, "instructor_url": "/instructors/ROBERT_NURRE" }, { "instructor_uid": "instructor_8d8e5de028a84e3ea0caeeee", "source": "madgrades", "source_instructor_id": "5038064", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KAILEY YAUN", "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": 3.925, "graded": 93, "counts": [ 87, 4, 1, 0, 0, 0, 1 ], "sections": 4 }, "instructor_url": "/instructors/KAILEY_YAUN--instructor_8d8e5de028a84e3ea0caeeee" }, { "instructor_uid": "instructor_a04f8522670c73b41d7b4160", "source": "madgrades", "source_instructor_id": "3554955", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALEX WENTHE", "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": 3.925, "graded": 93, "counts": [ 87, 4, 1, 0, 0, 0, 1 ], "sections": 4 }, "instructor_url": "/instructors/ALEX_WENTHE--instructor_a04f8522670c73b41d7b4160" }, { "instructor_uid": "instructor_3960d51a1686bb21e8b0ea3a", "source": "madgrades", "source_instructor_id": "5319975", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KRISTINA WELD", "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": 3.889, "graded": 45, "counts": [ 42, 2, 0, 0, 0, 0, 1 ], "sections": 2 }, "instructor_url": "/instructors/KRISTINA_WELD" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST/LANDARC 581", "course_uid": "course_334436877e4a4f357adebe11", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "JEB BARZEN" ], "a": 22, "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": 24, "source_aliases": [ "ENVIRST/LANDARC 581" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST/LANDARC 581", "course_uid": "course_334436877e4a4f357adebe11", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "JEB BARZEN" ], "a": 21, "ab": 2, "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": 24, "source_aliases": [ "ENVIRST/LANDARC 581" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST/LANDARC 581", "course_uid": "course_334436877e4a4f357adebe11", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "JEB BARZEN", "ROBERT NURRE" ], "a": 35, "ab": 7, "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": 44, "source_aliases": [ "ENVIRST/LANDARC 581" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST/LANDARC 581", "course_uid": "course_334436877e4a4f357adebe11", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "ALEX WENTHE", "KAILEY YAUN", "ROBERT NURRE" ], "a": 45, "ab": 2, "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": 48, "source_aliases": [ "ENVIRST/LANDARC 581" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST/LANDARC 581", "course_uid": "course_334436877e4a4f357adebe11", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "ALEX WENTHE", "KAILEY YAUN", "KRISTINA WELD", "ROBERT NURRE" ], "a": 42, "ab": 2, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 45, "source_aliases": [ "ENVIRST/LANDARC 581" ] } ] ``` ### statistics #### gpa 3.911 #### graded 185 #### counts * 165 * 15 * 3 * 0 * 1 * 0 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_334436877e4a4f357adebe11-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_334436877e4a4f357adebe11-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_334436877e4a4f357adebe11-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_334436877e4a4f357adebe11-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_334436877e4a4f357adebe11-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_334436877e4a4f357adebe11-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.9108108108108106 #### count 185 #### university ##### size 2947 ##### gpa Percentile 75 ##### count Percentile 66 ##### median Count 113 ##### 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 | 11 | false | | 2.8–3.2 | 200 | false | | 3.2–3.6 | 728 | false | | 3.6–4.0 | 2007 | true | #### departments ```json [ { "subject": "ENVIRST", "comparison": { "size": 66, "gpaPercentile": 86, "countPercentile": 52, "medianCount": 183.5, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 19, "current": false }, { "range": "3.6–4.0", "count": 42, "current": true } ] } }, { "subject": "LANDARC", "comparison": { "size": 18, "gpaPercentile": 94, "countPercentile": 71, "medianCount": 118.5, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` ### terms #### 1224 ##### term 1224 ##### gpa 3.9583333333333335 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | ENVIRST | | | LANDARC | | #### 1234 ##### term 1234 ##### gpa 3.9166666666666665 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | ENVIRST | | | LANDARC | | #### 1244 ##### term 1244 ##### gpa 3.852272727272727 ##### count 44 ##### university ###### size 1241 ###### gpa Percentile 75 ###### count Percentile 28 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "ENVIRST", "comparison": { "size": 40, "gpaPercentile": 74, "countPercentile": 33, "medianCount": 71, "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": 16, "current": false }, { "range": "3.6–4.0", "count": 21, "current": true } ] } }, { "subject": "LANDARC", "comparison": { "size": 11, "gpaPercentile": 70, "countPercentile": 70, "medianCount": 41, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.9583333333333335 ##### count 48 ##### university ###### size 1289 ###### gpa Percentile 90 ###### count Percentile 33 ###### 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": "ENVIRST", "comparison": { "size": 39, "gpaPercentile": 89, "countPercentile": 24, "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": 3, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 25, "current": true } ] } }, { "subject": "LANDARC", "comparison": { "size": 11, "gpaPercentile": 100, "countPercentile": 50, "medianCount": 48, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.888888888888889 ##### count 45 ##### university ###### size 1283 ###### gpa Percentile 77 ###### count Percentile 29 ###### 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": "ENVIRST", "comparison": { "size": 39, "gpaPercentile": 87, "countPercentile": 18, "medianCount": 70, "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": 13, "current": false }, { "range": "3.6–4.0", "count": 23, "current": true } ] } }, { "subject": "LANDARC", "comparison": null } ] ``` ### benchmarks #### all ##### school ###### size 2947 ###### gpa 3.684503227431485 ###### top Share 83.48969667841149 ###### count 113 ##### ENVIRST ###### size 66 ###### gpa 3.6557176454763605 ###### top Share 82.0784781630733 ###### count 183.5 ##### LANDARC ###### size 18 ###### gpa 3.6367076541267056 ###### top Share 82.49246025742009 ###### count 118.5 #### terms ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### ENVIRST ###### size 30 ###### gpa 3.5164528238553183 ###### top Share 73.38013651241461 ###### count 83.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### ENVIRST ###### size 35 ###### gpa 3.562190005068061 ###### top Share 74.74595421679987 ###### count 75 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### ENVIRST ###### size 40 ###### gpa 3.609333958752014 ###### top Share 78.44870523269554 ###### count 71 ###### LANDARC ###### size 11 ###### gpa 3.689508024262557 ###### top Share 85.3718775905583 ###### count 41 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### ENVIRST ###### size 39 ###### gpa 3.6271091837384972 ###### top Share 80.50128090125337 ###### count 73 ###### LANDARC ###### size 11 ###### gpa 3.691055422837633 ###### top Share 85.70846372417932 ###### count 48 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### ENVIRST ###### size 39 ###### gpa 3.6234319124309753 ###### top Share 80.66171436378418 ###### count 70 ## instructor Trends ```json [ { "uid": "instructor_60bafe36c10b63c2c539bd5c", "name": "ROBERT NURRE", "count": 115, "terms": [ { "term": "1244", "count": 44, "sections": 2, "gpa": 3.852272727272727 }, { "term": "1254", "count": 48, "sections": 2, "gpa": 3.9583333333333335 }, { "term": "1264", "count": 23, "sections": 1, "gpa": 3.8260869565217392 } ] }, { "uid": "instructor_8d8e5de028a84e3ea0caeeee", "name": "KAILEY YAUN", "count": 93, "terms": [ { "term": "1254", "count": 48, "sections": 2, "gpa": 3.9583333333333335 }, { "term": "1264", "count": 45, "sections": 2, "gpa": 3.888888888888889 } ] }, { "uid": "instructor_a04f8522670c73b41d7b4160", "name": "ALEX WENTHE", "count": 93, "terms": [ { "term": "1254", "count": 48, "sections": 2, "gpa": 3.9583333333333335 }, { "term": "1264", "count": 45, "sections": 2, "gpa": 3.888888888888889 } ] }, { "uid": "instructor_0f8113c0dde0ab69c89df924", "name": "JEB BARZEN", "count": 92, "terms": [ { "term": "1224", "count": 24, "sections": 1, "gpa": 3.9583333333333335 }, { "term": "1234", "count": 24, "sections": 1, "gpa": 3.9166666666666665 }, { "term": "1244", "count": 44, "sections": 2, "gpa": 3.852272727272727 } ] }, { "uid": "instructor_3960d51a1686bb21e8b0ea3a", "name": "KRISTINA WELD", "count": 45, "terms": [ { "term": "1264", "count": 45, "sections": 2, "gpa": 3.888888888888889 } ] } ] ``` ## following None recorded.