# MATH/STAT 803: Experimental Design I | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MATH_STAT_803) ## 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 | | 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| 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 0dce4ebd0217694bd74a7733ce52ecbe60f10c4f3d80b335d86bf07018e68c3c ### course id MATH/STAT 803 ### course uid course\_4cd8f65ba912b626a3350604 ### catalog version id 62ae85fcbf913f52c509c18d716590206c2f022c98f88d170aae9637f259a985 ### course number 803 ### subjects * MATH * STAT ### title EXPERIMENTAL DESIGN I ### description Summary of matrix algebra required, theory of estimable functions, incomplete blocks, balanced incomplete block designs, partially balanced incomplete block designs. ### requirements text Graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 49d7327479e516d49b17d129e3ce8a50a1468c4ff82fc4555ff9ecf049e86f15 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers matrix algebra, estimation theory, and various block design structures for experimental design. ### llm topics * Matrix Algebra * Estimable Functions * Incomplete Blocks * Balanced Incomplete Block Designs * Partially Balanced Incomplete Block Designs ### llm skills * Matrix algebra * Theory of estimable functions * Experimental design structures ### llm assumed background None recorded. ### llm search phrases * matrix algebra * estimation theory * experimental design * block designs ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 62f91d2ed8119ce6e70a05c3094c70d456d71464ae379ee5d6e9cea7d82c158f #### course id MATH/STAT 803 #### 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 2017: 3.96 GPA, 100.0% A/AB (n=13 letter grades); Fall 2020: 4.00 GPA, 100.0% A/AB (n=14 letter grades); Fall 2024: 3.91 GPA, 93.8% A/AB (n=16 letter grades). ```json { "citations": [ { "course_id": "MATH/STAT 803", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e3a35c02-af4a-3d0b-bcc9-59a2e054a374", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1174", "type": "grade" }, { "course_id": "MATH/STAT 803", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e3a35c02-af4a-3d0b-bcc9-59a2e054a374", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "MATH/STAT 803", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": 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16, "source_aliases": [ "MATH/STAT 803" ] } ] ``` ### statistics #### gpa 3.973 #### graded 93 #### counts * 89 * 3 * 1 * 0 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_4cd8f65ba912b626a3350604-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_4cd8f65ba912b626a3350604-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_4cd8f65ba912b626a3350604-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_4cd8f65ba912b626a3350604-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_4cd8f65ba912b626a3350604-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_4cd8f65ba912b626a3350604-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.9731182795698925 #### count 93 #### university ##### size 3063 ##### gpa Percentile 91 ##### count Percentile 50 ##### median Count 92 ##### 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 | 18 | false | | 2.8–3.2 | 337 | false | | 3.2–3.6 | 980 | false | | 3.6–4.0 | 1727 | true | #### departments ```json [ { "subject": "MATH", "comparison": { "size": 73, "gpaPercentile": 90, "countPercentile": 38, "medianCount": 117, "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": 3, "current": false }, { "range": "2.8–3.2", "count": 29, "current": false }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 24, "current": true } ] } }, { "subject": "STAT", "comparison": { "size": 49, "gpaPercentile": 96, "countPercentile": 31, "medianCount": 126, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 21, "current": false }, { "range": "3.6–4.0", "count": 18, "current": true } ] } } ] ``` ### terms #### 1082 ##### term 1082 ##### gpa 3.966666666666667 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1102 ##### term 1102 ##### gpa 4 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1142 ##### term 1142 ##### gpa 4 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1174 ##### term 1174 ##### gpa 3.9615384615384617 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1212 ##### term 1212 ##### gpa 4 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | #### 1252 ##### term 1252 ##### gpa 3.90625 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | | STAT | | ### benchmarks #### all ##### school ###### size 3063 ###### gpa 3.6086377837998187 ###### top Share 78.7302551566705 ###### count 92 ##### MATH ###### size 73 ###### gpa 3.371262899141071 ###### top Share 64.91166848755243 ###### count 117 ##### STAT ###### size 49 ###### gpa 3.5090027889484405 ###### top Share 72.81994273715331 ###### count 126 #### terms ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### MATH ###### size 20 ###### gpa 2.8603540012311925 ###### top Share 39.28661748894661 ###### count 122 ###### STAT ###### size 10 ###### gpa 3.181469252605204 ###### top Share 50.79697144214053 ###### count 66.5 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### MATH ###### size 27 ###### gpa 2.936619140855453 ###### top Share 42.28372460948232 ###### count 76 ###### STAT ###### size 15 ###### gpa 3.2431139797798068 ###### top Share 54.806129569025835 ###### count 72 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### MATH ###### size 31 ###### gpa 3.009040780059457 ###### top Share 45.87481076818359 ###### count 77 ###### STAT ###### size 16 ###### gpa 3.240435267681857 ###### top Share 58.10171174479488 ###### count 44.5 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### MATH ###### size 32 ###### gpa 2.992971960864239 ###### top Share 44.393513280464695 ###### count 89 ###### STAT ###### size 22 ###### gpa 3.3391231320477925 ###### top Share 62.80825113292103 ###### count 71.5 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### MATH ###### size 41 ###### gpa 3.3211331103538813 ###### top Share 59.85093623917685 ###### count 87 ###### STAT ###### size 25 ###### gpa 3.4555542540486095 ###### top Share 69.54152339778892 ###### count 100 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### MATH ###### size 43 ###### gpa 3.185692541204979 ###### top Share 54.14175342403773 ###### count 74 ###### STAT ###### size 32 ###### gpa 3.423918594183889 ###### top Share 68.17668754351217 ###### count 70.5 ## instructor Trends ```json [ { "uid": "instructor_558d0f57cb16d287326d3b99", "name": "QIAN ZHIGUANG", "count": 93, "terms": [ { "term": "1082", "count": 15, "sections": 1, "gpa": 3.966666666666667 }, { "term": "1102", "count": 16, "sections": 1, "gpa": 4 }, { "term": "1142", "count": 19, "sections": 1, "gpa": 4 }, { "term": "1174", "count": 13, "sections": 1, "gpa": 3.9615384615384617 }, { "term": "1212", "count": 14, "sections": 1, "gpa": 4 }, { "term": "1252", "count": 16, "sections": 1, "gpa": 3.90625 } ] } ] ``` ## following None recorded.