# ANSCI/DYSCI 102: Introduction to Animal Sciences Laboratory | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ANSCI_DYSCI_102) ## 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 141fc045542deccfb702ea21904760445343a9b57e73d85e5135eccb25076c0b ### course id ANSCI/DYSCI 102 ### course uid course\_9a1791e837d735a570444e1f ### catalog version id 833be330f117eec57be5364814268baf03c19b3c985c6111f817ced5f44bf90e ### course number 102 ### subjects * ANSCI * DYSCI ### title INTRODUCTION TO ANIMAL SCIENCES LABORATORY ### description Hands-on experience and demonstrations to develop practical skills with animals and to better understand the application of science to food production animals. It covers anatomy, physiology, nutrition, reproduction, genetics, management, animal welfare, and behavior of domesticated animals. ### requirements text DY SCI/​AN SCI  101or concurrent enrollment ### credits min 1 ### credits max 1 ### credit offering ids * 1272:292:026231 * 1272:604:026231 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id e866c32673b1e98ad1e7831c8e7b93829af8c530bd8f54313fd7cb692bf1b24e ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduction to Animal Sciences Laboratory provides hands-on experience and demonstrations to develop practical skills with animals. ### llm topics * Anatomy, physiology, nutrition, reproduction, genetics, management, animal welfare, and behavior * Food production animals ### llm skills * Practical animal handling skills * Application of science to food production ### llm assumed background * Foundational knowledge of animal science topics including anatomy, physiology, and management. ### llm search phrases * animal science laboratory * ANSCI 102 practical skills * food production animals * animal welfare behavior ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 35c2c7b4c742dee2ad32cb0a57e99dd9ac9e4b502c70d68bd89bc52d158b2222 #### course id ANSCI/DYSCI 102 #### current instructors ```json [ { "instructor_uid": "instructor_6d64d56bcb43666cae3b7206", "message": "No course-specific reviews available", "name": "Eric Ronk", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2660927", "summary": [ { "citations": [ { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.89 GPA, 93.9% A/AB (n=99 letter grades); Fall 2024: 3.84 GPA, 93.6% A/AB (n=109 letter grades); Fall 2025: 3.72 GPA, 86.9% A/AB (n=137 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_7d4aa65bcd5ce5c46db241ea", "message": "No course-specific reviews available", "name": "Hilario Mantovani", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.72 GPA, 86.9% A/AB (n=137 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 672f506f2fc2f46a071b9777f4a92cc197b2ccdeef25590e9285146d8c7e7f90 #### quick take Recent recorded grades — Fall 2023: 3.89 GPA, 93.9% A/AB (n=99 letter grades); Fall 2024: 3.84 GPA, 93.6% A/AB (n=109 letter grades); Fall 2025: 3.72 GPA, 86.9% A/AB (n=137 letter grades). ```json { "citations": [ { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ERIC RONK is recorded teaching in Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` HILARIO MANTOVANI is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ANSCI/DYSCI 102", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "source_record": { "entity_id": "0d9d5925-b050-358d-8352-6f7893c8978a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "DY SCI/AN SCI 101or concurrent enrollment", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 101, "minimum_grade": null, "subjects": [ "ANSCI", "DYSCI" ], "timing": "prior_or_concurrent" }, "evidence": "DY SCI/AN SCI 101", "id": "n1", "kind": "course" }, { "children": [], "condition": "concurrent enrollment", "course": null, "evidence": "concurrent enrollment", "id": "n2", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_6d64d56bcb43666cae3b7206", "source": "enrollment", "source_instructor_id": "eronk", "identity_basis": "netid", "identity_status": "source_identified", "name": "Eric Ronk", "email": "ERONK@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", "ratings": { "review_count": 15, "quality": 3.4, "difficulty": 3.07, "quality_count": 15, "difficulty_count": 15, "profile_id": "rmp:2660927", "source_url": "https://www.ratemyprofessors.com/professor/2660927", "match_basis": "exact_name", "observed_at": "2026-09-07 16:40:38.634915+00:00", "courses": { "course_41f98d76088bbd875d578e96": { "review_count": 15, "quality": 3.4, "difficulty": 3.07, "quality_count": 15, "difficulty_count": 15 } }, "bayesian_quality": 3.54839187631234, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/ERIC_RONK" }, { "instructor_uid": "instructor_7d4aa65bcd5ce5c46db241ea", "source": "enrollment", "source_instructor_id": "hcmantovani", "identity_basis": "netid", "identity_status": "source_identified", "name": "Hilario Mantovani", "email": "HCMANTOVANI@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/HILARIO_MANTOVANI" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:292:026231", "course_id": "ANSCI/DYSCI 102", "course_uid": "course_9a1791e837d735a570444e1f", "term_id": "1272", "source_course_id": "026231", "source_subject_id": "292", "title": "Introduction to Animal Sciences Laboratory", "credits_min": 1, "credits_max": 1, "typically_offered": "Not Applicable" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:604:026231", "course_id": "ANSCI/DYSCI 102", "course_uid": "course_9a1791e837d735a570444e1f", "term_id": "1272", "source_course_id": "026231", "source_subject_id": "604", "title": "Introduction to Animal Sciences Laboratory", "credits_min": 1, "credits_max": 1, "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:1272:25757", "term_id": "1272", "source_section_id": "25757", "identity_basis": "class_number", "section_number": "001", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 47, "enrolled": 2, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:25758", "term_id": "1272", "source_section_id": "25758", "identity_basis": "class_number", "section_number": "002", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 48, "enrolled": 3, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:25759", "term_id": "1272", "source_section_id": "25759", "identity_basis": "class_number", "section_number": "003", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 48, "enrolled": 0, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:25754", "term_id": "1272", "source_section_id": "25754", "identity_basis": "class_number", "section_number": "001", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 47, "enrolled": 45, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:25755", "term_id": "1272", "source_section_id": "25755", "identity_basis": "class_number", "section_number": "002", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 48, "enrolled": 45, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:25756", "term_id": "1272", "source_section_id": "25756", "identity_basis": "class_number", "section_number": "003", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 48, "enrolled": 48, "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_368e7f33cd561697afdc2b9a", "source": "madgrades", "source_instructor_id": "4177893", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ERIC RONK", "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": 15, "quality": 3.4, "difficulty": 3.07, "quality_count": 15, "difficulty_count": 15, "profile_id": "rmp:2660927", "source_url": "https://www.ratemyprofessors.com/professor/2660927", "match_basis": "exact_name", "observed_at": "2026-09-07 16:40:38.634915+00:00", "courses": { "course_41f98d76088bbd875d578e96": { "review_count": 15, "quality": 3.4, "difficulty": 3.07, "quality_count": 15, "difficulty_count": 15 } }, "bayesian_quality": 3.54839187631234, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.462, "graded": 1297, "counts": [ 676, 210, 220, 90, 70, 26, 5 ], "sections": 48 }, "instructor_url": "/instructors/ERIC_RONK--instructor_368e7f33cd561697afdc2b9a" }, { "instructor_uid": "instructor_78efec3452ae0985ac708299", "source": "madgrades", "source_instructor_id": "6399223", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NATALIA HINCAPIE", "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": 99, "counts": [ 87, 6, 4, 0, 2, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/NATALIA_HINCAPIE--instructor_78efec3452ae0985ac708299" }, { "instructor_uid": "instructor_490919afe01d89d4f31ef725", "source": "madgrades", "source_instructor_id": "6409408", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HILARIO MANTOVANI", "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": 3.393, "graded": 411, "counts": [ 190, 80, 72, 35, 20, 11, 3 ], "sections": 22 }, "instructor_url": "/instructors/HILARIO_MANTOVANI--instructor_490919afe01d89d4f31ef725" }, { "instructor_uid": "instructor_6d64d56bcb43666cae3b7206", "source": "enrollment", "source_instructor_id": "eronk", "identity_basis": "netid", "identity_status": "source_identified", "name": "Eric Ronk", "email": "ERONK@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", "ratings": { "review_count": 15, "quality": 3.4, "difficulty": 3.07, "quality_count": 15, "difficulty_count": 15, "profile_id": "rmp:2660927", "source_url": "https://www.ratemyprofessors.com/professor/2660927", "match_basis": "exact_name", "observed_at": "2026-09-07 16:40:38.634915+00:00", "courses": { "course_41f98d76088bbd875d578e96": { "review_count": 15, "quality": 3.4, "difficulty": 3.07, "quality_count": 15, "difficulty_count": 15 } }, "bayesian_quality": 3.54839187631234, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/ERIC_RONK" }, { "instructor_uid": "instructor_7d4aa65bcd5ce5c46db241ea", "source": "enrollment", "source_instructor_id": "hcmantovani", "identity_basis": "netid", "identity_status": "source_identified", "name": "Hilario Mantovani", "email": "HCMANTOVANI@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/HILARIO_MANTOVANI" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI/DYSCI 102", "course_uid": "course_9a1791e837d735a570444e1f", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Eric Ronk" ], "a": 62, "ab": 6, "b": 5, "bc": 1, "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": 1, "total": 76, "source_aliases": [ "ANSCI/DYSCI 102" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI/DYSCI 102", "course_uid": "course_9a1791e837d735a570444e1f", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Eric Ronk", "NATALIA HINCAPIE" ], "a": 87, "ab": 6, "b": 4, "bc": 0, "c": 2, "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": 99, "source_aliases": [ "ANSCI/DYSCI 102" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI/DYSCI 102", "course_uid": "course_9a1791e837d735a570444e1f", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Eric Ronk" ], "a": 92, "ab": 10, "b": 5, "bc": 0, "c": 0, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 109, "source_aliases": [ "ANSCI/DYSCI 102" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ANSCI/DYSCI 102", "course_uid": "course_9a1791e837d735a570444e1f", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Eric Ronk", "Hilario Mantovani" ], "a": 105, "ab": 14, "b": 11, "bc": 2, "c": 0, "d": 3, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 137, "source_aliases": [ "ANSCI/DYSCI 102" ] } ] ``` ### statistics #### gpa 3.815 #### graded 420 #### counts * 346 * 36 * 25 * 3 * 3 * 4 * 3 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_9a1791e837d735a570444e1f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_9a1791e837d735a570444e1f-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_9a1791e837d735a570444e1f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_9a1791e837d735a570444e1f-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_9a1791e837d735a570444e1f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_9a1791e837d735a570444e1f-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_9a1791e837d735a570444e1f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_9a1791e837d735a570444e1f-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.8154761904761907 #### count 420 #### university ##### size 2734 ##### gpa Percentile 60 ##### count Percentile 86 ##### median Count 105 ##### 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 | 6 | false | | 2.8–3.2 | 183 | false | | 3.2–3.6 | 704 | false | | 3.6–4.0 | 1840 | true | #### departments ```json [ { "subject": "ANSCI", "comparison": { "size": 16, "gpaPercentile": 73, "countPercentile": 87, "medianCount": 137.5, "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": 3, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } }, { "subject": "DYSCI", "comparison": { "size": 10, "gpaPercentile": 67, "countPercentile": 89, "medianCount": 71.5, "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": 2, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` ### terms #### 1232 ##### term 1232 ##### gpa 3.8466666666666667 ##### count 75 ##### university ###### size 1216 ###### gpa Percentile 76 ###### count Percentile 54 ###### 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 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | true | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | DYSCI | | #### 1242 ##### term 1242 ##### gpa 3.888888888888889 ##### count 99 ##### university ###### size 1295 ###### gpa Percentile 79 ###### count Percentile 68 ###### median Count 67 ###### 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 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "ANSCI", "comparison": { "size": 10, "gpaPercentile": 67, "countPercentile": 78, "medianCount": 45, "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": 2, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } }, { "subject": "DYSCI", "comparison": null } ] ``` #### 1252 ##### term 1252 ##### gpa 3.8440366972477062 ##### count 109 ##### university ###### size 1333 ###### gpa Percentile 72 ###### count Percentile 70 ###### 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 | false | | 3.6–4.0 | 773 | true | ##### departments | subject | comparison | | ------- | ---------- | | ANSCI | | | DYSCI | | #### 1262 ##### term 1262 ##### gpa 3.7226277372262775 ##### count 137 ##### university ###### size 1320 ###### gpa Percentile 53 ###### count Percentile 77 ###### median Count 70 ###### 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 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "ANSCI", "comparison": { "size": 11, "gpaPercentile": 60, "countPercentile": 90, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } }, { "subject": "DYSCI", "comparison": null } ] ``` ### benchmarks #### all ##### school ###### size 2734 ###### gpa 3.6828436876066126 ###### top Share 83.37648184927653 ###### count 105 ##### ANSCI ###### size 16 ###### gpa 3.5419235034131438 ###### top Share 74.15369016189005 ###### count 137.5 ##### DYSCI ###### size 10 ###### gpa 3.584383197481865 ###### top Share 75.92548349099073 ###### count 71.5 #### 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 ###### ANSCI ###### size 10 ###### gpa 3.4990696003570223 ###### top Share 71.28431255095414 ###### count 45 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### ANSCI ###### size 11 ###### gpa 3.569136261738081 ###### top Share 76.22979796022352 ###### count 70 ## instructor Trends ```json [ { "uid": "instructor_368e7f33cd561697afdc2b9a", "name": "ERIC RONK", "count": 420, "terms": [ { "term": "1232", "count": 75, "sections": 3, "gpa": 3.8466666666666667 }, { "term": "1242", "count": 99, "sections": 3, "gpa": 3.888888888888889 }, { "term": "1252", "count": 109, "sections": 3, "gpa": 3.8440366972477062 }, { "term": "1262", "count": 137, "sections": 3, "gpa": 3.7226277372262775 } ] }, { "uid": "instructor_490919afe01d89d4f31ef725", "name": "HILARIO MANTOVANI", "count": 137, "terms": [ { "term": "1262", "count": 137, "sections": 3, "gpa": 3.7226277372262775 } ] }, { "uid": "instructor_78efec3452ae0985ac708299", "name": "NATALIA HINCAPIE", "count": 99, "terms": [ { "term": "1242", "count": 99, "sections": 3, "gpa": 3.888888888888889 } ] } ] ``` ## following | code | title | | --------- | ---------------------------------------------- | | ANSCI 324 | APPLIED COMPANION ANIMAL BEHAVIOR AND LEARNING | ## projection ### target 1272 ### gpa 3.8130891996093035 ### grades | grade | percentage | | ----- | ------------------ | | A | 82.22663588143544 | | AB | 8.649463252798801 | | B | 5.9952959925901395 | | BC | 0.7257861386399752 | | C | 0.6692398237113685 | | D | 0.9904220785996783 | | F | 0.7431568322245867 | ### source Terms * 1262 * 1252 * 1242 * 1232 ### source Count 420 ### same Season true ### historical Range * 3.722627737226277 * 3.8888888888888884