# BIOCORE 587: Biological Interactions | UW–Madison [View on UW Courses](https://uwcourses.com/courses/BIOCORE_587) ## 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 3d3f42fe2c448f8477608d52e3c2446f9f5a93f070df362143f8676061e06727 ### course id BIOCORE 587 ### course uid course\_92b5581acbccacc30dba4a42 ### catalog version id 60e65d5fbec0b77c49b59a6e55b3ce9c222d3cf3ce14f766760bdabb91de457f ### course number 587 ### subjects * BIOCORE ### title BIOLOGICAL INTERACTIONS ### description A capstone course to build on and integrate the knowledge and skills gained in previous Biocore coursework through readings and analysis of primary scientific literature. Work in small groups to analyze current and emerging topics through the lens of scientific research. Topics include signaling pathways, systems biology, genetic disease, and cancer. ### requirements text BIOCORE 485 ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id d2afac75780d92ed4b22432eb50db415656517cb44bb01b6aa982712fa4a78d1 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary BIOCORE 587 is a capstone course integrating prior Biocore knowledge through primary literature analysis and group research on topics like signaling pathways and cancer. ### llm topics * Signaling pathways, systems biology, genetic disease, and cancer. ### llm skills * Analysis of primary scientific literature and collaborative research topic evaluation. ### llm assumed background * Foundational knowledge in cellular biology, molecular mechanisms, and physiological systems regulation. ### llm search phrases * Biocore capstone primary literature analysis * signaling pathways systems biology cancer * scientific research analysis small groups ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 1de0f6739d955ae1d8183cf60a4eb873bf6ca37cc7de9ca46e71d80a8465cb5a #### course id BIOCORE 587 #### 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: 3.47 GPA, 53.1% A/AB (n=81 letter grades); Spring 2025: 3.34 GPA, 50.0% A/AB (n=72 letter grades); Spring 2026: 3.69 GPA, 75.0% A/AB (n=80 letter grades). ```json { "citations": [ { "course_id": "BIOCORE 587", "run_id": "20260907T155543-ce3781c4", 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34, "bc": 1, "c": 3, "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": 81, "source_aliases": [ "BIOCORE 587" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCORE 587", "course_uid": "course_92b5581acbccacc30dba4a42", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Anne Griep", "Han Wang", "KATHERINE MCMAHON" ], "a": 23, "ab": 13, "b": 28, "bc": 6, "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": 72, "source_aliases": [ "BIOCORE 587" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BIOCORE 587", "course_uid": "course_92b5581acbccacc30dba4a42", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Anne Griep", "KATHERINE MCMAHON", "William Bement" ], "a": 53, "ab": 7, "b": 18, "bc": 2, "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": 80, "source_aliases": [ "BIOCORE 587" ] } ] ``` ### statistics #### gpa 3.348 #### graded 882 #### counts * 308 * 141 * 347 * 36 * 46 * 4 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_92b5581acbccacc30dba4a42-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_92b5581acbccacc30dba4a42-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_92b5581acbccacc30dba4a42-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_92b5581acbccacc30dba4a42-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_92b5581acbccacc30dba4a42-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_92b5581acbccacc30dba4a42-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.3475056689342404 #### count 882 #### university ##### size 3857 ##### gpa Percentile 13 ##### count Percentile 89 ##### median Count 147 ##### 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 | 11 | false | | 2.8–3.2 | 261 | false | | 3.2–3.6 | 1029 | true | | 3.6–4.0 | 2556 | false | #### departments | subject | comparison | | ------- | ---------- | | BIOCORE | | ### terms #### 1144 ##### term 1144 ##### gpa 3.0180722891566263 ##### count 83 ##### university ###### size 878 ###### gpa Percentile 17 ###### count Percentile 61 ###### median Count 64 ###### 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 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | true | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | false | ##### departments | subject | comparison | | ------- | ---------- | | BIOCORE | | #### 1154 ##### term 1154 ##### gpa 3.238888888888889 ##### count 90 ##### university ###### size 935 ###### gpa Percentile 32 ###### count Percentile 66 ###### median Count 63 ###### 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 | 38 | false | | 2.8–3.2 | 237 | false | | 3.2–3.6 | 326 | true | | 3.6–4.0 | 334 | false | ##### departments | subject | comparison | | ------- | ---------- | | BIOCORE | | #### 1164 ##### term 1164 ##### gpa 3.253623188405797 ##### count 69 ##### university ###### size 965 ###### gpa Percentile 30 ###### count Percentile 50 ###### median Count 68 ###### 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 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | true | | 3.6–4.0 | 390 | false | ##### departments | subject | comparison | | ------- | ---------- | | BIOCORE | | #### 1174 ##### term 1174 ##### gpa 3.2804878048780486 ##### count 82 ##### university ###### size 955 ###### gpa Percentile 33 ###### count Percentile 57 ###### 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 | 1 | false | | 2.4–2.8 | 29 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 332 | true | | 3.6–4.0 | 369 | false | ##### departments | subject | comparison | | ------- | ---------- | | BIOCORE | | #### 1184 ##### term 1184 ##### gpa 3.357142857142857 ##### count 63 ##### university ###### size 1010 ###### gpa Percentile 36 ###### count Percentile 46 ###### median Count 68 ###### 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 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | true | | 3.6–4.0 | 418 | false | ##### departments | subject | comparison | | ------- | ---------- | | BIOCORE | | #### 1194 ##### term 1194 ##### gpa 3.532258064516129 ##### count 62 ##### university ###### size 1040 ###### gpa Percentile 51 ###### count Percentile 45 ###### 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 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | true | | 3.6–4.0 | 454 | false | ##### departments | subject | comparison | | ------- | ---------- | | BIOCORE | | #### 1204 ##### term 1204 ##### gpa 3.564516129032258 ##### count 62 ##### university ###### size 1012 ###### gpa Percentile 28 ###### count Percentile 48 ###### median Count 65.5 ###### 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 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | true | | 3.6–4.0 | 685 | false | ##### departments | subject | comparison | | ------- | ---------- | | BIOCORE | | #### 1224 ##### term 1224 ##### gpa 3.342857142857143 ##### count 70 ##### university ###### size 1171 ###### gpa Percentile 26 ###### count Percentile 53 ###### median Count 64 ###### 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 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | true | | 3.6–4.0 | 616 | false | ##### departments | subject | comparison | | ------- | ---------- | | BIOCORE | | #### 1234 ##### term 1234 ##### gpa 3.1544117647058822 ##### count 68 ##### university ###### size 1188 ###### gpa Percentile 12 ###### count Percentile 52 ###### 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 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | true | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | false | ##### departments | subject | comparison | | ------- | ---------- | | BIOCORE | | #### 1244 ##### term 1244 ##### gpa 3.4691358024691357 ##### count 81 ##### university ###### size 1241 ###### gpa Percentile 30 ###### count Percentile 59 ###### 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 | true | | 3.6–4.0 | 706 | false | ##### departments | subject | comparison | | ------- | ---------- | | BIOCORE | | #### 1254 ##### term 1254 ##### gpa 3.3402777777777777 ##### count 72 ##### university ###### size 1289 ###### gpa Percentile 20 ###### 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 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments | subject | comparison | | ------- | ---------- | | BIOCORE | | #### 1264 ##### term 1264 ##### gpa 3.69375 ##### count 80 ##### university ###### size 1283 ###### gpa Percentile 50 ###### count Percentile 58 ###### 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 | subject | comparison | | ------- | ---------- | | BIOCORE | | ### benchmarks #### all ##### school ###### size 3857 ###### gpa 3.6765573337568056 ###### top Share 82.9558451655162 ###### count 147 #### terms ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ##### 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 ## instructor Trends ```json [ { "uid": "instructor_f86787e91f364dbc1647e6a8", "name": "ANNE GRIEP", "count": 882, "terms": [ { "term": "1144", "count": 83, "sections": 1, "gpa": 3.0180722891566263 }, { "term": "1154", "count": 90, "sections": 1, "gpa": 3.238888888888889 }, { "term": "1164", "count": 69, "sections": 1, "gpa": 3.253623188405797 }, { "term": "1174", "count": 82, "sections": 1, "gpa": 3.2804878048780486 }, { "term": "1184", "count": 63, "sections": 1, "gpa": 3.357142857142857 }, { "term": "1194", "count": 62, "sections": 1, "gpa": 3.532258064516129 }, { "term": "1204", "count": 62, "sections": 1, "gpa": 3.564516129032258 }, { "term": "1224", "count": 70, "sections": 1, "gpa": 3.342857142857143 }, { "term": "1234", "count": 68, "sections": 1, "gpa": 3.1544117647058822 }, { "term": "1244", "count": 81, "sections": 1, "gpa": 3.4691358024691357 }, { "term": "1254", "count": 72, "sections": 1, "gpa": 3.3402777777777777 }, { "term": "1264", "count": 80, "sections": 1, "gpa": 3.69375 } ] }, { "uid": "instructor_099f35867131c6a107f6b454", "name": "AMY MOSER", "count": 581, "terms": [ { "term": "1144", "count": 83, "sections": 1, "gpa": 3.0180722891566263 }, { "term": "1154", "count": 90, "sections": 1, "gpa": 3.238888888888889 }, { "term": "1164", "count": 69, "sections": 1, "gpa": 3.253623188405797 }, { "term": "1174", "count": 82, "sections": 1, "gpa": 3.2804878048780486 }, { "term": "1184", "count": 63, "sections": 1, "gpa": 3.357142857142857 }, { "term": "1194", "count": 62, "sections": 1, "gpa": 3.532258064516129 }, { "term": "1204", "count": 62, "sections": 1, "gpa": 3.564516129032258 }, { "term": "1224", "count": 70, "sections": 1, "gpa": 3.342857142857143 } ] }, { "uid": "instructor_9e218a215ce10b3c7bfd8169", "name": "WILLIAM BEMENT", "count": 508, "terms": [ { "term": "1144", "count": 83, "sections": 1, "gpa": 3.0180722891566263 }, { "term": "1164", "count": 69, "sections": 1, "gpa": 3.253623188405797 }, { "term": "1184", "count": 63, "sections": 1, "gpa": 3.357142857142857 }, { "term": "1204", "count": 62, "sections": 1, "gpa": 3.564516129032258 }, { "term": "1224", "count": 70, "sections": 1, "gpa": 3.342857142857143 }, { "term": "1244", "count": 81, "sections": 1, "gpa": 3.4691358024691357 }, { "term": "1264", "count": 80, "sections": 1, "gpa": 3.69375 } ] }, { "uid": "instructor_0e8a50128138fc033e5028e6", "name": "KATHERINE MCMAHON", "count": 454, "terms": [ { "term": "1154", "count": 90, "sections": 1, "gpa": 3.238888888888889 }, { "term": "1174", "count": 82, "sections": 1, "gpa": 3.2804878048780486 }, { "term": "1194", "count": 62, "sections": 1, "gpa": 3.532258064516129 }, { "term": "1234", "count": 68, "sections": 1, "gpa": 3.1544117647058822 }, { "term": "1254", "count": 72, "sections": 1, "gpa": 3.3402777777777777 }, { "term": "1264", "count": 80, "sections": 1, "gpa": 3.69375 } ] }, { "uid": "instructor_ac846bb3f4a0d69c1c9f3b68", "name": "HAN WANG", "count": 210, "terms": [ { "term": "1224", "count": 70, "sections": 1, "gpa": 3.342857142857143 }, { "term": "1234", "count": 68, "sections": 1, "gpa": 3.1544117647058822 }, { "term": "1254", "count": 72, "sections": 1, "gpa": 3.3402777777777777 } ] }, { "uid": "instructor_af9dccf3e9123a9241ef11bf", "name": "SHELBY O'CONNOR", "count": 81, "terms": [ { "term": "1244", "count": 81, "sections": 1, "gpa": 3.4691358024691357 } ] } ] ``` ## following | code | title | | -------------------- | ----------------------------------- | | BIOCHEM/GENETICS 631 | PLANT GENETICS AND DEVELOPMENT | | GENETICS 520 | NEUROGENETICS | | GENETICS 548 | THE GENOMIC REVOLUTION | | GENETICS 564 | GENOMICS AND PROTEOMICS | | GENETICS 566 | ADVANCED GENETICS | | GENETICS 627 | ANIMAL DEVELOPMENTAL GENETICS | | GENETICS/MDGENET 565 | HUMAN GENETICS | | ZOOLOGY 555 | LABORATORY IN DEVELOPMENTAL BIOLOGY | ## projection ### target 1272 ### gpa 3.441965803500168 ### grades | grade | percentage | | ----- | ------------------ | | A | 44.3490113887147 | | AB | 11.90798740036498 | | B | 35.558541871805396 | | BC | 4.156069200469159 | | C | 4.02839013864576 | | D | 0 | | F | 0 | ### source Terms * 1264 * 1254 * 1244 * 1234 * 1224 ### source Count 371 ### same Season false ### historical Range * 3.1544117647058822 * 3.6937499999999996