# ANSCI/BSE 344: Digital Technologies for Animal Monitoring | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ANSCI_BSE_344) ## 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 87a65ea756bad67850de76c9be6e630175b1da1ea3f326255aa7d4525dcf680b ### course id ANSCI/BSE 344 ### course uid course\_1d4d8555d02038c83b5b8e4b ### catalog version id 84641d1570720f9092da86e9f6002a1a692e52e7fbce78193ecc635cdba98d60 ### course number 344 ### subjects * ANSCI * BSE ### title DIGITAL TECHNOLOGIES FOR ANIMAL MONITORING ### description Introduces key concepts of sensor technology used for livestock and companion animal monitoring and veterinary medicine. Describes applications of Artificial Intelligence (AI) systems for livestock animals and veterinary medicine, including animal monitoring, computer-aided diagnosis, and optimized farm management decisions. ### requirements text (MATH 112,114, 171, or placement intoMATH 221) or graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 70ffc477d7669f6d7db55b69ce4f17b7faf043e9e522b9935125f36ec5216554 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ANSCI/BSE 344 introduces sensor technology and AI applications for animal monitoring and veterinary medicine. ### llm topics * Sensor technology for animal monitoring * Artificial Intelligence in veterinary medicine * Computer-aided diagnosis * Farm management optimization ### llm skills * Application of AI systems for animal monitoring and diagnosis * Optimizing farm management decisions using technology ### llm assumed background * College-level algebra and calculus fundamentals * Basic understanding of animal science or veterinary contexts ### llm search phrases * animal monitoring sensors * livestock AI applications * veterinary computer-aided diagnosis * farm management technology * ANSCI 344 digital technologies ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 3e1b51f455a547d5f07b908759ea8275f1ed8b3632501209fde8cb359fee44ce #### course id ANSCI/BSE 344 #### 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 672f506f2fc2f46a071b9777f4a92cc197b2ccdeef25590e9285146d8c7e7f90 #### quick take Recent recorded grades — Spring 2024: 4.00 GPA, 100.0% A/AB (n=14 letter grades); Spring 2025: 3.78 GPA, 88.0% A/AB (n=25 letter grades); Spring 2026: 3.77 GPA, 88.5% A/AB (n=26 letter grades). ```json { "citations": [ { "course_id": "ANSCI/BSE 344", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3efce5c3-c060-3814-97c7-8eddb2fafae4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "ANSCI/BSE 344", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3efce5c3-c060-3814-97c7-8eddb2fafae4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ANSCI/BSE 344", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3efce5c3-c060-3814-97c7-8eddb2fafae4", "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": [ "n1", "n6" ], "condition": null, "course": null, "evidence": "(MATH 112,114, 171, or placement intoMATH 221) or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [ "n2", "n3", "n4", "n5" ], "condition": null, "course": null, "evidence": "(MATH 112,114, 171, or placement intoMATH 221)", "id": "n1", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 112, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 112", "id": "n2", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 114, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "114", "id": "n3", "kind": "course" }, { "children": [], "condition": "171", "course": null, "evidence": "171", "id": "n4", "kind": "condition" }, { "children": [], "condition": "placement intoMATH 221", "course": null, "evidence": "placement intoMATH 221", "id": "n5", "kind": "condition" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n6", "kind": "condition" } ] ``` #### notes * MATH 171 is mentioned in requirements\_text but not found in linked\_courses or lookup results; treated as a verbatim condition leaf requiring review for canonical identity. #### root n0 #### status needs\_review ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_3cd10be80e459ad028961693", "source": "madgrades", "source_instructor_id": "5172125", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOAO REBOUCAS DOREA", "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": 3.866, "graded": 86, "counts": [ 77, 3, 4, 0, 1, 0, 1 ], "sections": 33 }, "instructor_url": "/instructors/JOAO_REBOUCAS_DOREA--instructor_3cd10be80e459ad028961693" }, { "instructor_uid": "instructor_7ff8972a01384bfddd7b23e2", "source": "madgrades", "source_instructor_id": "1505756", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GUILHERME ROSA", "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": 3.023, "graded": 1768, "counts": [ 549, 155, 547, 113, 298, 87, 19 ], "sections": 103 }, "instructor_url": "/instructors/GUILHERME_ROSA--instructor_7ff8972a01384bfddd7b23e2" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI/BSE 344", "course_uid": "course_1d4d8555d02038c83b5b8e4b", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Joao Reboucas Dorea" ], "a": 14, "ab": 0, "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": 14, "source_aliases": [ "ANSCI/BSE 344" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI/BSE 344", "course_uid": "course_1d4d8555d02038c83b5b8e4b", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Joao Reboucas Dorea" ], "a": 19, "ab": 3, "b": 2, "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": 25, "source_aliases": [ "ANSCI/BSE 344" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI/BSE 344", "course_uid": "course_1d4d8555d02038c83b5b8e4b", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Guilherme Rosa", "Joao Reboucas Dorea" ], "a": 23, "ab": 0, "b": 2, "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": 26, "source_aliases": [ "ANSCI/BSE 344" ] } ] ``` ### statistics #### gpa 3.823 #### graded 65 #### counts * 56 * 3 * 4 * 0 * 1 * 0 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_1d4d8555d02038c83b5b8e4b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_1d4d8555d02038c83b5b8e4b-0.json) #### traces * 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departments ```json [ { "subject": "ANSCI", "comparison": { "size": 16, "gpaPercentile": 73, "countPercentile": 27, "medianCount": 85.5, "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": 3, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } }, { "subject": "BSE", "comparison": { "size": 14, "gpaPercentile": 77, "countPercentile": 15, "medianCount": 114.5, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 0, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` ### terms #### 1244 ##### term 1244 ##### gpa 4 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | BSE | | #### 1254 ##### term 1254 ##### gpa 3.78 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | BSE | | #### 1264 ##### term 1264 ##### gpa 3.769230769230769 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | BSE | | ### benchmarks #### all ##### school ###### size 2411 ###### gpa 3.6770271983084943 ###### top Share 83.11222705251026 ###### count 90 ##### ANSCI ###### size 16 ###### gpa 3.5266341852547947 ###### top Share 72.03989012830202 ###### count 85.5 ##### BSE ###### size 14 ###### gpa 3.5003564284799147 ###### top Share 71.45211044044399 ###### count 114.5 #### terms ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### ANSCI ###### size 11 ###### gpa 3.4872599039104415 ###### top Share 69.71753566211373 ###### count 68 ## instructor Trends ```json [ { "uid": "instructor_3cd10be80e459ad028961693", "name": "JOAO REBOUCAS DOREA", "count": 65, "terms": [ { "term": "1244", "count": 14, "sections": 1, "gpa": 4 }, { "term": "1254", "count": 25, "sections": 1, "gpa": 3.78 }, { "term": "1264", "count": 26, "sections": 1, "gpa": 3.769230769230769 } ] }, { "uid": "instructor_7ff8972a01384bfddd7b23e2", "name": "GUILHERME ROSA", "count": 26, "terms": [ { "term": "1264", "count": 26, "sections": 1, "gpa": 3.769230769230769 } ] } ] ``` ## following None recorded.