# STAT 424: Statistical Experimental Design | UW–Madison [View on UW Courses](https://uwcourses.com/courses/STAT_424) ## 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 2c90291bbebd385125ec23f0858b4a8ba055541766e5ceb1aba8815eeeb9b8df ### course id STAT 424 ### course uid course\_3c746e3add116a6aa2b49441 ### catalog version id 4c0896061e75a324e407d0ddf5c57ad8292114da32ad6484f4cbd6cc16898ce2 ### course number 424 ### subjects * STAT ### title STATISTICAL EXPERIMENTAL DESIGN ### description Introduction to statistical design and analysis of experiments. Topics include: principles of randomization, blocking and replication, randomized blocking designs, Latin square designs, full factorial and fractional factorial designs and response surface methodology. Substantial focus will be devoted to engineering applications. A brief review on using design of experiments for digital transformation and A/B testing will be provided. ### requirements text (MATH/​STAT  310,STAT 333, or340) or (declared in Mechanical Engineering BS and one ofSTAT 240,301, 302,312,324,371, orI SY E 210), or graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:932:018463 ### llm job id enrich-6d152121341c0acec09161dd ### llm output id 1f5f07da8f186e5749f7c87d96eecee720fc7c71ab9d610648f0b696ca4f034e ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary STAT 424 introduces statistical experimental design, covering randomization, blocking, factorial designs, and response surface methodology with engineering applications. ### llm topics * Randomization, blocking, and replication. * Randomized blocking and Latin square designs. * Full factorial, fractional factorial, and response surface methodology. * Digital transformation and A/B testing applications. ### llm skills * Statistical design and analysis of experiments. * Design principles including randomization, blocking, replication, and factorial designs. * Engineering applications of experimental design. * Application of experimental design to digital transformation and A/B testing. ### llm assumed background * Prerequisites include statistical inference, regression, and R programming skills. * Background in probability distributions, hypothesis testing, and ANOVA is assumed. ### llm search phrases * STAT 424 statistical design of experiments * randomized blocking designs Latin square * response surface methodology engineering * A/B testing digital transformation statistics ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash b80bbd36b0b829789968972f5995d0d3912599b0b705727c76e5b474872c1b8b #### course id STAT 424 #### current instructors ```json [ { "instructor_uid": "instructor_6b47f9ea3905d1d59a4cca56", "message": null, "name": "Peter Chien", "review_status": "supported", "rmp_instructor_id": "rmp:2359490", "summary": [ { "citations": [ { "instructor_name": "Peter Chien", "review_date": "2018-09-20 15:00:44 +0000 UTC", "review_id": "d2254374e7c851ff56758e64", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2359490", "source_review_id": "UmF0aW5nLTMwNTEyODcz", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "type": "review" }, { "instructor_name": "Peter Chien", "review_date": "2021-07-06 20:02:04 +0000 UTC", "review_id": "bebb3f315c9362cf9b39b03b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2359490", "source_review_id": "UmF0aW5nLTM0OTU1NDU5", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "type": "review" }, { "instructor_name": "Peter Chien", "review_date": "2021-07-08 22:06:02 +0000 UTC", "review_id": "9b58845d6c9bc766dbbd9bd1", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2359490", "source_review_id": "UmF0aW5nLTM0OTU5ODg0", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "type": "review" }, { "instructor_name": "Peter Chien", "review_date": "2024-05-17 20:48:44 +0000 UTC", "review_id": "846af3f30b0f94e2af0049dc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2359490", "source_review_id": "UmF0aW5nLTM5NDg1OTQy", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "type": "review" } ], "text": "Peter Chien is praised for clear explanations, engaging examples, and inspiring students. Reviewers note he is available for questions and provides helpful practice problems, with some finding the class easy and fun when attending lectures and office hours." }, { "citations": [ { "instructor_name": "Peter Chien", "review_date": "2018-05-07 18:11:47 +0000 UTC", "review_id": "7167ef254102db3ba9a7310c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2359490", "source_review_id": "UmF0aW5nLTMwMDE0OTY2", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "type": "review" }, { "instructor_name": "Peter Chien", "review_date": "2021-05-01 02:54:13 +0000 UTC", "review_id": "b7c91568ce171fdf8c4293d9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2359490", "source_review_id": "UmF0aW5nLTM0NjczNDM4", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "type": "review" }, { "instructor_name": "Peter Chien", "review_date": "2023-12-24 23:34:32 +0000 UTC", "review_id": "ebe8aaa545bd04c783f25548", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2359490", "source_review_id": "UmF0aW5nLTM4NzkwMjU3", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "type": "review" }, { "instructor_name": "Peter Chien", "review_date": "2026-04-09 17:56:53 +0000 UTC", "review_id": "01f878a32394abb2cc90cd32", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2359490", "source_review_id": "UmF0aW5nLTQyODA2NzM0", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "type": "review" }, { "instructor_name": "Peter Chien", "review_date": "2026-05-07 03:46:17 +0000 UTC", "review_id": "9fb774e9b769f89f39a0617c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2359490", "source_review_id": "UmF0aW5nLTQzMDU1ODEw", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "type": "review" } ], "text": "Other reviewers criticize Chien as unorganized and ineffective, stating lectures lack direction. They report that self-study is necessary, exams are predictable, and communication with TAs is poor, though some find the material itself manageable despite the teaching style." } ] } ] ``` #### difficulty workload Workload involves writing R code for homework, while exams are often predictable and similar to practice problems, though self-study via the textbook is recommended. ```json { "citations": [ { "instructor_name": "Peter Chien", "review_date": "2019-12-15 19:48:08 +0000 UTC", "review_id": "a0b1e22e48955fa4f7801e83", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2359490", "source_review_id": "UmF0aW5nLTMyNjY3ODgw", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "type": "review" }, { "instructor_name": "Peter Chien", "review_date": "2026-05-07 03:46:17 +0000 UTC", "review_id": "9fb774e9b769f89f39a0617c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2359490", "source_review_id": "UmF0aW5nLTQzMDU1ODEw", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Wei-Yin Loh describe conflicting experiences. Some praise his energy and clear teaching, while others find his exams tricky and lecture slides insufficient. Historical reviews for Pixu Shi highlight patient instruction and clear notes. Reviewers report her exams are long but fairly graded, requiring consistent effort. ```json { "citations": [ { "instructor_name": "Wei-Yin Loh", "review_date": "2006-01-17 23:25:06 +0000 UTC", "review_id": "e69defbf02881f460a43d8bc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:371080", "source_review_id": "UmF0aW5nLTExMzc5OTYy", "source_url": "https://www.ratemyprofessors.com/professor/371080", "type": "review" }, { "instructor_name": "Wei-Yin Loh", "review_date": "2006-11-13 20:40:11 +0000 UTC", "review_id": "e208fcbc7f8abfc91aea9733", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:371080", "source_review_id": "UmF0aW5nLTEyNDA4MDE2", "source_url": "https://www.ratemyprofessors.com/professor/371080", "type": "review" }, { "instructor_name": "Pixu Shi", "review_date": "2019-10-28 02:23:45 +0000 UTC", "review_id": "f25b8b13ce216eb14853a9ca", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2525911", "source_review_id": "UmF0aW5nLTMyMzI0NjIw", "source_url": "https://www.ratemyprofessors.com/professor/2525911", "type": "review" }, { "instructor_name": "Pixu Shi", "review_date": "2020-05-07 05:21:35 +0000 UTC", "review_id": "aa067f083f169d7721f11d0b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2525911", "source_review_id": "UmF0aW5nLTMzMjI3NjI3", "source_url": "https://www.ratemyprofessors.com/professor/2525911", "type": "review" }, { "instructor_name": "Wei-Yin Loh", "review_date": "2022-12-17 20:58:24 +0000 UTC", "review_id": "ab71a378bed7090740183c06", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:371080", "source_review_id": "UmF0aW5nLTM3MTcyMjc0", "source_url": "https://www.ratemyprofessors.com/professor/371080", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Peter Chien receives high praise for clear explanations, engaging examples, and inspiring students, with some noting easy exams and accessible office hours. ```json { "citations": [ { "instructor_name": "Peter Chien", "review_date": "2018-09-20 15:00:44 +0000 UTC", "review_id": "d2254374e7c851ff56758e64", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2359490", "source_review_id": "UmF0aW5nLTMwNTEyODcz", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "type": "review" }, { "instructor_name": "Peter Chien", "review_date": "2021-07-06 20:02:04 +0000 UTC", "review_id": "bebb3f315c9362cf9b39b03b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2359490", "source_review_id": "UmF0aW5nLTM0OTU1NDU5", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "type": "review" }, { "instructor_name": "Peter Chien", "review_date": "2021-07-08 22:06:02 +0000 UTC", "review_id": "9b58845d6c9bc766dbbd9bd1", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2359490", "source_review_id": "UmF0aW5nLTM0OTU5ODg0", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "type": "review" }, { "instructor_name": "Peter Chien", "review_date": "2024-05-17 20:48:44 +0000 UTC", "review_id": "846af3f30b0f94e2af0049dc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2359490", "source_review_id": "UmF0aW5nLTM5NDg1OTQy", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.55 GPA, 68.6% A/AB (n=51 letter grades); Fall 2025: 3.55 GPA, 76.3% A/AB (n=59 letter grades); Spring 2026: 3.67 GPA, 76.7% A/AB (n=60 letter grades). ```json { "citations": [ { "course_id": "STAT 424", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 424", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "STAT 424", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Some students find lectures unorganized, rambling, and confusing, with concerns about TA communication and unclear direction, contrasting with positive experiences. ```json { "citations": [ { "instructor_name": "Peter Chien", "review_date": "2021-05-01 02:54:13 +0000 UTC", "review_id": "b7c91568ce171fdf8c4293d9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2359490", "source_review_id": "UmF0aW5nLTM0NjczNDM4", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "type": "review" }, { "instructor_name": "Peter Chien", "review_date": "2023-12-24 23:34:32 +0000 UTC", "review_id": "ebe8aaa545bd04c783f25548", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2359490", "source_review_id": "UmF0aW5nLTM4NzkwMjU3", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "type": "review" }, { "instructor_name": "Peter Chien", "review_date": "2026-04-09 17:56:53 +0000 UTC", "review_id": "01f878a32394abb2cc90cd32", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2359490", "source_review_id": "UmF0aW5nLTQyODA2NzM0", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history EDWARD ERKER is recorded teaching in Spring 2022. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 424", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "source_record": { "entity_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "STAT 424", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "source_record": { "entity_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" } ] } ``` NIMAL WICKREMASINGHE is recorded teaching in Fall 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 424", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "source_record": { "entity_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" } ] } ``` PIXU SHI is recorded teaching in Spring 2019, Spring 2020. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 424", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "source_record": { "entity_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "STAT 424", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "source_record": { "entity_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "STAT 424", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "source_record": { "entity_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" } ] } ``` WEI-YIN LOH is recorded teaching in Fall 2006, Spring 2009, Spring 2010, Fall 2010, Fall 2011, Fall 2015, Fall 2022. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 424", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "source_record": { "entity_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1072", "type": "grade" }, { "course_id": "STAT 424", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "source_record": { "entity_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1094", "type": "grade" }, { "course_id": "STAT 424", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "source_record": { "entity_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1104", "type": "grade" }, { "course_id": "STAT 424", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "source_record": { "entity_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "STAT 424", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "source_record": { "entity_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "STAT 424", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "source_record": { "entity_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "STAT 424", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "source_record": { "entity_id": "fd11e9bf-745d-30d7-8dc9-50274f83111c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n15" ], "condition": null, "course": null, "evidence": "(MATH/STAT 310,STAT 333, or340) or (declared in Mechanical Engineering BS and one ofSTAT 240,301, 302,312,324,371, orI SY E 210), or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [ "n3", "n4", "n5" ], "condition": null, "course": null, "evidence": "(MATH/STAT 310,STAT 333, or340)", "id": "n1", "kind": "any" }, { "children": [ "n6", "n7" ], "condition": null, "course": null, "evidence": "(declared in Mechanical Engineering BS and one ofSTAT 240,301, 302,312,324,371, orI SY E 210)", "id": "n2", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 310, "minimum_grade": null, "subjects": [ "MATH", "STAT" ], "timing": "prior" }, "evidence": "MATH/STAT 310", "id": "n3", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 333, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 333", "id": "n4", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 340, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "340", "id": "n5", "kind": "course" }, { "children": [], "condition": "declared in Mechanical Engineering BS", "course": null, "evidence": "declared in Mechanical Engineering BS", "id": "n6", "kind": "condition" }, { "children": [ "n8", "n9", "n10", "n11", "n12", "n13", "n14" ], "condition": null, "course": null, "evidence": "one ofSTAT 240,301, 302,312,324,371, orI SY E 210", "id": "n7", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 240, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 240", "id": "n8", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 301, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "301", "id": "n9", "kind": "course" }, { "children": [], "condition": "302", "course": null, "evidence": "302", "id": "n10", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 312, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "312", "id": "n11", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 324, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "324", "id": "n12", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 371, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "371", "id": "n13", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 210, "minimum_grade": null, "subjects": [ "ISYE" ], "timing": "prior" }, "evidence": "I SY E 210", "id": "n14", "kind": "course" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n15", "kind": "condition" } ] ``` #### notes * Course MATH/STAT 310 is linked as MATH and STAT 310. * Course I SY E 210 is linked as ISYE 210. * Condition 'declared in Mechanical Engineering BS' is unlinked. * Course 302 is not in linked\_courses and preserved as a verbatim condition node. #### root n0 #### status needs\_review ### instructors ```json [ { "instructor_uid": "instructor_6b47f9ea3905d1d59a4cca56", "source": "enrollment", "source_instructor_id": "pchien5", "identity_basis": "netid", "identity_status": "source_identified", "name": "Peter Chien", "email": "PETER.CHIEN@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": 18, "quality": 3.06, "difficulty": 3.39, "quality_count": 18, "difficulty_count": 18, "profile_id": "rmp:2359490", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "match_basis": "exact_name", "observed_at": "2026-09-07 16:11:21.889201+00:00", "courses": { "course_3c746e3add116a6aa2b49441": { "review_count": 17, "quality": 3.18, "difficulty": 3.41, "quality_count": 17, "difficulty_count": 17 } }, "bayesian_quality": 3.3756240966034707, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/PETER_CHIEN" }, { "instructor_uid": "instructor_7c09a6e12ebca1077051d727", "source": "enrollment", "source_instructor_id": "stao34", "identity_basis": "netid", "identity_status": "source_identified", "name": "Sifan Tao", "email": "SIFAN.TAO@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/SIFAN_TAO" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:018463", "course_id": "STAT 424", "course_uid": "course_3c746e3add116a6aa2b49441", "term_id": "1272", "source_course_id": "018463", "source_subject_id": "932", "title": "Statistical Experimental Design", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring, Summer" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:25461", "term_id": "1272", "source_section_id": "25461", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 72, "enrolled": 70, "waitlisted": 3, "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:1272:25462", "term_id": "1272", "source_section_id": "25462", "identity_basis": "class_number", "section_number": "311", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 24, "enrolled": 24, "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:1272:25463", "term_id": "1272", "source_section_id": "25463", "identity_basis": "class_number", "section_number": "312", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 24, "enrolled": 23, "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:1272:25464", "term_id": "1272", "source_section_id": "25464", "identity_basis": "class_number", "section_number": "313", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 24, "enrolled": 23, "waitlisted": 3, "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_20bff09bd8c7abcebab15a2f", "source": "madgrades", "source_instructor_id": "2602108", "identity_basis": "source_id", "identity_status": "source_identified", "name": "WEI-YIN LOH", "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": 24, "quality": 3.62, "difficulty": 3.71, "quality_count": 24, "difficulty_count": 24, "profile_id": "rmp:371080", "source_url": "https://www.ratemyprofessors.com/professor/371080", "match_basis": "exact_name", "observed_at": "2026-09-07 15:59:34.335211+00:00", "courses": { "course_3c746e3add116a6aa2b49441": { "review_count": 4, "quality": 4.25, "difficulty": 4, "quality_count": 4, "difficulty_count": 4 }, "course_bbb14bdd283ccb9368b888c2": { "review_count": 3, "quality": 2, "difficulty": 3.67, "quality_count": 3, "difficulty_count": 3 }, "course_d2bc347ed5e5c07178b1f567": { "review_count": 2, "quality": 2, "difficulty": 4.5, "quality_count": 2, "difficulty_count": 2 }, "course_2c47f118c8b20b84e9ca9d5d": { "review_count": 1, "quality": 3, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 }, "course_1ea543c8a9e3b7f76f3a2d83": { "review_count": 1, "quality": 4, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_096be5272e913d9005e3298b": { "review_count": 2, "quality": 4.5, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.63803899252118, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.512, "graded": 1421, "counts": [ 632, 434, 239, 45, 52, 10, 9 ], "sections": 82 }, "instructor_url": "/instructors/WEI-YIN_LOH--instructor_20bff09bd8c7abcebab15a2f" }, { "instructor_uid": "instructor_558d0f57cb16d287326d3b99", "source": "madgrades", "source_instructor_id": "3338237", "identity_basis": "source_id", "identity_status": "source_identified", "name": "QIAN ZHIGUANG", "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": 3.59, "graded": 1441, "counts": [ 695, 408, 303, 14, 9, 3, 9 ], "sections": 78 }, "instructor_url": "/instructors/QIAN_ZHIGUANG--instructor_558d0f57cb16d287326d3b99" }, { "instructor_uid": "instructor_2046459e5630973d60ed2b15", "source": "madgrades", "source_instructor_id": "640407", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NICHOLAS STEPHEN KEULER", "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": 3.1, "graded": 3078, "counts": [ 830, 628, 845, 223, 424, 82, 46 ], "sections": 39 }, "instructor_url": "/instructors/NICHOLAS_STEPHEN_KEULER" }, { "instructor_uid": "instructor_18b6da4aeb0eb8408b08c1c6", "source": "madgrades", "source_instructor_id": "393380", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DONALD ROBERT PORTER", "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": 3.243, "graded": 2460, "counts": [ 936, 447, 574, 123, 299, 43, 38 ], "sections": 29 }, "instructor_url": "/instructors/DONALD_ROBERT_PORTER" }, { "instructor_uid": "instructor_2e82e074b9b1de4eed9b4df0", "source": "madgrades", "source_instructor_id": "5631398", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PAUL SAVARIAPPAN", "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": 4, "quality": 2.5, "difficulty": 4, "quality_count": 4, "difficulty_count": 4, "profile_id": "rmp:2046398", "source_url": "https://www.ratemyprofessors.com/professor/2046398", "match_basis": "exact_name", "observed_at": "2026-09-07 16:12:21.467860+00:00", "courses": {}, "bayesian_quality": 3.466404819622163, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.281, "graded": 254, "counts": [ 82, 75, 49, 30, 7, 7, 4 ], "sections": 4 }, "instructor_url": "/instructors/PAUL_SAVARIAPPAN" }, { "instructor_uid": "instructor_5bf315f214d47ff22f1f6e0a", "source": "madgrades", "source_instructor_id": "4734807", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PIXU SHI", "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": 7, "quality": 2.57, "difficulty": 4.14, "quality_count": 7, "difficulty_count": 7, "profile_id": "rmp:2525911", "source_url": "https://www.ratemyprofessors.com/professor/2525911", "match_basis": "exact_name", "observed_at": "2026-09-07 16:11:44.738578+00:00", "courses": { "course_3c746e3add116a6aa2b49441": { "review_count": 2, "quality": 5, "difficulty": 4, "quality_count": 2, "difficulty_count": 2 }, "course_ef9c9cd4a7d8002288a4cf7c": { "review_count": 3, "quality": 2, "difficulty": 3.67, "quality_count": 3, "difficulty_count": 3 }, "course_e593b86c370a0c671af794df": { "review_count": 1, "quality": 1, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.3771746544789596, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.377, "graded": 495, "counts": [ 207, 133, 70, 40, 29, 10, 6 ], "sections": 8 }, "instructor_url": "/instructors/PIXU_SHI" }, { "instructor_uid": "instructor_abc5e9172ef576551f2478dc", "source": "madgrades", "source_instructor_id": "4484729", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KRIS SANKARAN", "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": 16, "quality": 4.5, "difficulty": 2.62, "quality_count": 16, "difficulty_count": 16, "profile_id": "rmp:2658955", "source_url": "https://www.ratemyprofessors.com/professor/2658955", "match_basis": "exact_name", "observed_at": "2026-09-07 16:25:37.342814+00:00", "courses": { "course_1282dc8dbc1e7c5749f7cc41": { "review_count": 7, "quality": 4.43, "difficulty": 3, "quality_count": 7, "difficulty_count": 7 }, "course_f57701752c565e5b0c704a1d": { "review_count": 9, "quality": 4.56, "difficulty": 2.33, "quality_count": 9, "difficulty_count": 9 } }, "bayesian_quality": 4.033158768636998, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.578, "graded": 747, "counts": [ 376, 195, 125, 28, 20, 1, 2 ], "sections": 41 }, "instructor_url": "/instructors/KRIS_SANKARAN--instructor_abc5e9172ef576551f2478dc" }, { "instructor_uid": "instructor_cde4e8c99f184b699236bc13", "source": "madgrades", "source_instructor_id": "6243364", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MOHAMED ELKHOULY", "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": 13, "quality": 3.38, "difficulty": 3.54, "quality_count": 13, "difficulty_count": 13, "profile_id": "rmp:2518878", "source_url": "https://www.ratemyprofessors.com/professor/2518878", "match_basis": "exact_name", "observed_at": "2026-09-07 16:16:43.632205+00:00", "courses": { "course_31fb5b7b6bf20ca63e33bd46": { "review_count": 6, "quality": 2.33, "difficulty": 3.5, "quality_count": 6, "difficulty_count": 6 }, "course_ef9c9cd4a7d8002288a4cf7c": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.549506535482785, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.525, "graded": 394, "counts": [ 236, 63, 43, 21, 17, 9, 5 ], "sections": 6 }, "instructor_url": "/instructors/MOHAMED_ELKHOULY--instructor_cde4e8c99f184b699236bc13" }, { "instructor_uid": "instructor_7342db773081c801c9779233", "source": "madgrades", "source_instructor_id": "5189535", "identity_basis": "source_id", "identity_status": "source_identified", "name": "EDWARD ERKER", "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": 3.426, "graded": 583, "counts": [ 215, 176, 143, 23, 15, 5, 6 ], "sections": 10 }, "instructor_url": "/instructors/EDWARD_ERKER--instructor_7342db773081c801c9779233" }, { "instructor_uid": "instructor_b0a1c7106c61b36ad2359c37", "source": "madgrades", "source_instructor_id": "6505678", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NIMAL WICKREMASINGHE", "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": 9, "quality": 2.33, "difficulty": 2.56, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:2911640", "source_url": "https://www.ratemyprofessors.com/professor/2911640", "match_basis": "exact_name", "observed_at": "2026-09-07 16:13:52.871076+00:00", "courses": { "course_3c746e3add116a6aa2b49441": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_1b76508145789f8fbc49d1fa": { "review_count": 2, "quality": 3, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2 }, "course_24942ca6acb3a153de2907d5": { "review_count": 1, "quality": 1, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_2a00c702ff402614a950606e": { "review_count": 5, "quality": 1.8, "difficulty": 2.6, "quality_count": 5, "difficulty_count": 5 } }, "bayesian_quality": 3.247024678307997, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.625, "graded": 550, "counts": [ 326, 117, 69, 19, 11, 4, 4 ], "sections": 12 }, "instructor_url": "/instructors/NIMAL_WICKREMASINGHE--instructor_b0a1c7106c61b36ad2359c37" }, { "instructor_uid": "instructor_6b47f9ea3905d1d59a4cca56", "source": "enrollment", "source_instructor_id": "pchien5", "identity_basis": "netid", "identity_status": "source_identified", "name": "Peter Chien", "email": "PETER.CHIEN@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": 18, "quality": 3.06, "difficulty": 3.39, "quality_count": 18, "difficulty_count": 18, "profile_id": "rmp:2359490", "source_url": "https://www.ratemyprofessors.com/professor/2359490", "match_basis": "exact_name", "observed_at": "2026-09-07 16:11:21.889201+00:00", "courses": { "course_3c746e3add116a6aa2b49441": { "review_count": 17, "quality": 3.18, "difficulty": 3.41, "quality_count": 17, "difficulty_count": 17 } }, "bayesian_quality": 3.3756240966034707, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/PETER_CHIEN" }, { "instructor_uid": "instructor_7c09a6e12ebca1077051d727", "source": "enrollment", "source_instructor_id": "stao34", "identity_basis": "netid", "identity_status": "source_identified", "name": "Sifan Tao", "email": "SIFAN.TAO@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/SIFAN_TAO" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 424", "course_uid": "course_3c746e3add116a6aa2b49441", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "WEI-YIN LOH", "Wei-Yin Loh" ], "a": 8, "ab": 9, "b": 4, "bc": 3, "c": 1, "d": 1, "f": 0, "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": [ "ME/STAT 424", "STAT 424" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 424", "course_uid": "course_3c746e3add116a6aa2b49441", "term_id": 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"2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 424", "course_uid": "course_3c746e3add116a6aa2b49441", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "PIXU SHI" ], "a": 26, "ab": 10, "b": 8, "bc": 5, "c": 0, "d": 1, "f": 0, "satisfactory": 12, "unsatisfactory": 1, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 63, "source_aliases": [ "ME/STAT 424", "STAT 424" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 424", "course_uid": "course_3c746e3add116a6aa2b49441", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "KRIS SANKARAN", "Kris Sankaran", "MOHAMED ELKHOULY" ], "a": 46, "ab": 28, "b": 17, "bc": 7, "c": 4, "d": 5, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 111, "source_aliases": [ "ME/STAT 424", "STAT 424" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 424", "course_uid": "course_3c746e3add116a6aa2b49441", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "KRIS SANKARAN", "Kris Sankaran" ], "a": 21, "ab": 17, "b": 11, "bc": 3, "c": 1, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 55, "source_aliases": [ "ME/STAT 424", "STAT 424" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 424", "course_uid": "course_3c746e3add116a6aa2b49441", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "EDWARD ERKER" ], "a": 48, "ab": 24, "b": 21, "bc": 12, "c": 6, "d": 4, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 118, "source_aliases": [ "ME/STAT 424", "STAT 424" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 424", "course_uid": "course_3c746e3add116a6aa2b49441", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "WEI-YIN LOH", "Wei-Yin Loh" ], "a": 16, "ab": 14, "b": 15, "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": 0, "total": 47, "source_aliases": [ "ME/STAT 424", "STAT 424" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 424", "course_uid": "course_3c746e3add116a6aa2b49441", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "QIAN ZHIGUANG" ], "a": 39, "ab": 16, "b": 8, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 64, "source_aliases": [ "ME/STAT 424", "STAT 424" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 424", "course_uid": "course_3c746e3add116a6aa2b49441", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "QIAN ZHIGUANG" ], "a": 21, "ab": 17, "b": 11, "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": 50, "source_aliases": [ "ME/STAT 424", "STAT 424" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 424", "course_uid": "course_3c746e3add116a6aa2b49441", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "QIAN ZHIGUANG" ], "a": 14, "ab": 11, "b": 14, "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": 39, "source_aliases": [ "ME/STAT 424", "STAT 424" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 424", "course_uid": "course_3c746e3add116a6aa2b49441", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "NIMAL WICKREMASINGHE" ], "a": 30, "ab": 7, "b": 6, "bc": 5, "c": 4, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 55, "source_aliases": [ "ME/STAT 424", "STAT 424" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 424", "course_uid": "course_3c746e3add116a6aa2b49441", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "QIAN ZHIGUANG" ], "a": 22, "ab": 13, "b": 15, "bc": 1, "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": 51, "source_aliases": [ "ME/STAT 424", "STAT 424" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 424", "course_uid": "course_3c746e3add116a6aa2b49441", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "QIAN ZHIGUANG" ], "a": 20, "ab": 25, "b": 14, "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": 59, "source_aliases": [ "STAT 424" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 424", "course_uid": "course_3c746e3add116a6aa2b49441", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "QIAN ZHIGUANG" ], "a": 36, "ab": 10, "b": 13, "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": 60, "source_aliases": [ "STAT 424" ] } ] ``` ### statistics #### gpa 3.445 #### graded 1936 #### counts * 783 * 572 * 393 * 77 * 72 * 20 * 19 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_3c746e3add116a6aa2b49441-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_3c746e3add116a6aa2b49441-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_3c746e3add116a6aa2b49441-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_3c746e3add116a6aa2b49441-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_3c746e3add116a6aa2b49441-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_3c746e3add116a6aa2b49441-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_3c746e3add116a6aa2b49441-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_3c746e3add116a6aa2b49441-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_3c746e3add116a6aa2b49441-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_3c746e3add116a6aa2b49441-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.4449896694214877 #### count 1936 #### university ##### size 5784 ##### gpa Percentile 20 ##### count Percentile 91 ##### median Count 240.5 ##### 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 | 12 | false | | 2.8–3.2 | 363 | false | | 3.2–3.6 | 1576 | true | | 3.6–4.0 | 3833 | false | #### departments ```json [ { "subject": "STAT", "comparison": { "size": 78, "gpaPercentile": 27, "countPercentile": 83, "medianCount": 420, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 30, "current": true }, { "range": "3.6–4.0", "count": 39, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.3076923076923075 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1074 ##### term 1074 ##### gpa 3.576923076923077 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1082 ##### term 1082 ##### gpa 3.706896551724138 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1084 ##### term 1084 ##### gpa 3.554054054054054 ##### count 37 ##### university ###### size 720 ###### gpa Percentile 67 ###### count Percentile 14 ###### 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 | 3 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 207 | false | | 3.2–3.6 | 248 | true | | 3.6–4.0 | 217 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 11, "gpaPercentile": 90, "countPercentile": 10, "medianCount": 60, "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": 5, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1092 ##### term 1092 ##### gpa 3.581081081081081 ##### count 37 ##### university ###### size 732 ###### gpa Percentile 70 ###### count Percentile 13 ###### 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 | 41 | false | | 2.8–3.2 | 208 | false | | 3.2–3.6 | 271 | true | | 3.6–4.0 | 211 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 11, "gpaPercentile": 80, "countPercentile": 0, "medianCount": 65, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1094 ##### term 1094 ##### gpa 3.4242424242424243 ##### count 33 ##### university ###### size 758 ###### gpa Percentile 54 ###### count Percentile 7 ###### median Count 71 ###### 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 | 35 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 259 | true | | 3.6–4.0 | 236 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 13, "gpaPercentile": 83, "countPercentile": 8, "medianCount": 67, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1102 ##### term 1102 ##### gpa 3.522727272727273 ##### count 44 ##### university ###### size 774 ###### gpa Percentile 65 ###### count Percentile 26 ###### 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 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | false | | 3.2–3.6 | 287 | true | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 15, "gpaPercentile": 93, "countPercentile": 29, "medianCount": 72, "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": 9, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 3.5714285714285716 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1112 ##### term 1112 ##### gpa 3.36 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1114 ##### term 1114 ##### gpa 3.574468085106383 ##### count 47 ##### university ###### size 804 ###### gpa Percentile 69 ###### count Percentile 30 ###### 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 | 53 | false | | 2.8–3.2 | 231 | false | | 3.2–3.6 | 292 | true | | 3.6–4.0 | 227 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 100, "countPercentile": 15, "medianCount": 76, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.263157894736842 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1124 ##### term 1124 ##### gpa 3.4390243902439024 ##### count 41 ##### university ###### size 821 ###### gpa Percentile 51 ###### count Percentile 24 ###### 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 | 39 | false | | 2.8–3.2 | 223 | false | | 3.2–3.6 | 278 | true | | 3.6–4.0 | 280 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 85, "countPercentile": 15, "medianCount": 73.5, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 3.5 ##### count 42 ##### university ###### size 851 ###### gpa Percentile 60 ###### count Percentile 25 ###### 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 | 40 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 303 | true | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 16, "gpaPercentile": 73, "countPercentile": 33, "medianCount": 72, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 3.4767441860465116 ##### count 43 ##### university ###### size 852 ###### gpa Percentile 55 ###### count Percentile 25 ###### 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 | 30 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 304 | true | | 3.6–4.0 | 287 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 15, "gpaPercentile": 86, "countPercentile": 21, "medianCount": 62, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 2.775 ##### count 40 ##### university ###### size 853 ###### gpa Percentile 4 ###### count Percentile 21 ###### 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 | 4 | false | | 2.4–2.8 | 33 | true | | 2.8–3.2 | 228 | false | | 3.2–3.6 | 320 | false | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 16, "gpaPercentile": 7, "countPercentile": 33, "medianCount": 44.5, "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": 2, "current": true }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 3.460526315789474 ##### count 38 ##### university ###### size 878 ###### gpa Percentile 55 ###### count Percentile 15 ###### 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 | false | | 3.2–3.6 | 302 | true | | 3.6–4.0 | 299 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 100, "countPercentile": 0, "medianCount": 74.5, "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": 8, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.342857142857143 ##### count 35 ##### university ###### size 918 ###### gpa Percentile 43 ###### count Percentile 10 ###### 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 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 20, "gpaPercentile": 74, "countPercentile": 5, "medianCount": 55, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 3.4210526315789473 ##### count 57 ##### university ###### size 935 ###### gpa Percentile 48 ###### count Percentile 43 ###### 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 ```json [ { "subject": "STAT", "comparison": { "size": 19, "gpaPercentile": 78, "countPercentile": 50, "medianCount": 57, "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": 8, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.2933333333333334 ##### count 75 ##### university ###### size 954 ###### gpa Percentile 35 ###### count Percentile 57 ###### median Count 64.5 ###### 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 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 350 | true | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 24, "gpaPercentile": 35, "countPercentile": 61, "medianCount": 50.5, "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": 14, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.4210526315789473 ##### count 38 ##### university ###### size 965 ###### gpa Percentile 44 ###### count Percentile 16 ###### 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 ```json [ { "subject": "STAT", "comparison": { "size": 21, "gpaPercentile": 65, "countPercentile": 5, "medianCount": 69, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.5357142857142856 ##### count 42 ##### university ###### size 991 ###### gpa Percentile 55 ###### count Percentile 24 ###### 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 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 353 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 75, "countPercentile": 17, "medianCount": 56, "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": 8, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.109375 ##### count 32 ##### university ###### size 955 ###### gpa Percentile 19 ###### count Percentile 4 ###### 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 | true | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 22, "gpaPercentile": 29, "countPercentile": 10, "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": 8, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.5925925925925926 ##### count 54 ##### university ###### size 1025 ###### gpa Percentile 58 ###### count Percentile 36 ###### 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 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 24, "gpaPercentile": 70, "countPercentile": 22, "medianCount": 65.5, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.557377049180328 ##### count 61 ##### university ###### size 1010 ###### gpa Percentile 55 ###### count Percentile 45 ###### 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 ```json [ { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 63, "countPercentile": 42, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.4035087719298245 ##### count 57 ##### university ###### size 1077 ###### gpa Percentile 38 ###### count Percentile 41 ###### 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 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | true | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 54, "countPercentile": 23, "medianCount": 74, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 17, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.421875 ##### count 128 ##### university ###### size 1040 ###### gpa Percentile 41 ###### count Percentile 78 ###### 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 ```json [ { "subject": "STAT", "comparison": { "size": 23, "gpaPercentile": 50, "countPercentile": 77, "medianCount": 79, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.4347826086956523 ##### count 46 ##### university ###### size 1102 ###### gpa Percentile 39 ###### count Percentile 30 ###### 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 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 30, "gpaPercentile": 48, "countPercentile": 10, "medianCount": 80.5, "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": 10, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.53 ##### count 50 ##### university ###### size 1012 ###### gpa Percentile 23 ###### count Percentile 36 ###### 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 ```json [ { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 35, "countPercentile": 15, "medianCount": 56, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 16, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.3045454545454547 ##### count 110 ##### university ###### size 1111 ###### gpa Percentile 21 ###### count Percentile 71 ###### 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 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | true | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 33, "countPercentile": 63, "medianCount": 100, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.4444444444444446 ##### count 54 ##### university ###### size 1157 ###### gpa Percentile 33 ###### count Percentile 40 ###### 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 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | true | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 42, "countPercentile": 48, "medianCount": 55.5, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.26271186440678 ##### count 118 ##### university ###### size 1171 ###### gpa Percentile 20 ###### count Percentile 76 ###### 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 ```json [ { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 27, "countPercentile": 65, "medianCount": 74, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.4574468085106385 ##### count 47 ##### university ###### size 1216 ###### gpa Percentile 33 ###### count Percentile 32 ###### 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 | true | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 55, "countPercentile": 29, "medianCount": 60.5, "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": 11, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.746031746031746 ##### count 63 ##### university ###### size 1188 ###### gpa Percentile 63 ###### count Percentile 48 ###### 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 | false | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 92, "countPercentile": 42, "medianCount": 67, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.53 ##### count 50 ##### university ###### size 1295 ###### gpa Percentile 37 ###### count Percentile 37 ###### 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 | true | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 34, "gpaPercentile": 58, "countPercentile": 39, "medianCount": 55, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.5 ##### count 39 ##### university ###### size 1241 ###### gpa Percentile 33 ###### count Percentile 20 ###### 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 ```json [ { "subject": "STAT", "comparison": { "size": 29, "gpaPercentile": 61, "countPercentile": 21, "medianCount": 62, "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": 8, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.381818181818182 ##### count 55 ##### university ###### size 1333 ###### gpa Percentile 21 ###### count Percentile 39 ###### 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 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 39, "countPercentile": 45, "medianCount": 70.5, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.549019607843137 ##### count 51 ##### university ###### size 1289 ###### gpa Percentile 36 ###### count Percentile 37 ###### 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 ```json [ { "subject": "STAT", "comparison": { "size": 28, "gpaPercentile": 59, "countPercentile": 26, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.5508474576271185 ##### count 59 ##### university ###### size 1320 ###### gpa Percentile 34 ###### count Percentile 40 ###### 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 | true | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 29, "gpaPercentile": 71, "countPercentile": 29, "medianCount": 81, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.6666666666666665 ##### count 60 ##### university ###### size 1283 ###### gpa Percentile 45 ###### count Percentile 45 ###### 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": "STAT", "comparison": { "size": 26, "gpaPercentile": 80, "countPercentile": 36, "medianCount": 66, "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": 9, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5784 ###### gpa 3.6736255573368366 ###### top Share 82.68719706118685 ###### count 240.5 ##### STAT ###### size 78 ###### gpa 3.586329638963467 ###### top Share 77.84412721691945 ###### count 420 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### STAT ###### size 10 ###### gpa 3.181469252605204 ###### top Share 50.79697144214053 ###### count 66.5 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### STAT ###### size 11 ###### gpa 3.1916703213972117 ###### top Share 53.20854008345764 ###### count 60 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### STAT ###### size 11 ###### gpa 3.2851296989222463 ###### top Share 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###### STAT ###### size 30 ###### gpa 3.4022744829589433 ###### top Share 67.29048111947832 ###### count 80.5 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### STAT ###### size 27 ###### gpa 3.6537351147420534 ###### top Share 80.87794592686507 ###### count 56 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### STAT ###### size 25 ###### gpa 3.4555542540486095 ###### top Share 69.54152339778892 ###### count 100 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### STAT ###### size 32 ###### gpa 3.4861059411832307 ###### top Share 71.46520654148341 ###### count 55.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### STAT ###### size 27 ###### gpa 3.4650681869904103 ###### top 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1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### STAT ###### size 32 ###### gpa 3.423918594183889 ###### top Share 68.17668754351217 ###### count 70.5 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### STAT ###### size 28 ###### gpa 3.4752654121860003 ###### top Share 68.35873780152826 ###### count 70 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### STAT ###### size 29 ###### gpa 3.415022952129974 ###### top Share 64.95385808199006 ###### count 81 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### STAT ###### size 26 ###### gpa 3.343399816676682 ###### top Share 63.23102425546245 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_558d0f57cb16d287326d3b99", "name": "QIAN ZHIGUANG", "count": 935, "terms": [ { "term": "1074", "count": 26, "sections": 1, "gpa": 3.576923076923077 }, { "term": "1082", "count": 29, "sections": 1, "gpa": 3.706896551724138 }, { "term": "1084", "count": 37, "sections": 1, "gpa": 3.554054054054054 }, { "term": "1092", "count": 37, "sections": 1, "gpa": 3.581081081081081 }, { "term": "1102", "count": 44, "sections": 1, "gpa": 3.522727272727273 }, { "term": "1114", "count": 47, "sections": 1, "gpa": 3.574468085106383 }, { "term": "1124", "count": 41, "sections": 1, "gpa": 3.4390243902439024 }, { "term": "1132", "count": 42, "sections": 1, "gpa": 3.5 }, { "term": "1134", "count": 43, "sections": 1, "gpa": 3.4767441860465116 }, { "term": "1144", "count": 38, "sections": 1, "gpa": 3.460526315789474 }, { "term": "1164", "count": 23, "sections": 1, "gpa": 3.4565217391304346 }, { "term": "1172", "count": 42, "sections": 1, "gpa": 3.5357142857142856 }, { "term": "1184", "count": 61, "sections": 1, "gpa": 3.557377049180328 }, { "term": "1192", "count": 57, 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"term": "1162", "count": 38, "sections": 1, "gpa": 3.4473684210526314 }, { "term": "1232", "count": 47, "sections": 1, "gpa": 3.4574468085106385 } ] }, { "uid": "instructor_5bf315f214d47ff22f1f6e0a", "name": "PIXU SHI", "count": 178, "terms": [ { "term": "1194", "count": 128, "sections": 2, "gpa": 3.421875 }, { "term": "1204", "count": 50, "sections": 1, "gpa": 3.53 } ] }, { "uid": "instructor_18b6da4aeb0eb8408b08c1c6", "name": "DONALD ROBERT PORTER", "count": 176, "terms": [ { "term": "1152", "count": 35, "sections": 1, "gpa": 3.342857142857143 }, { "term": "1154", "count": 57, "sections": 1, "gpa": 3.4210526315789473 }, { "term": "1162", "count": 37, "sections": 1, "gpa": 3.135135135135135 }, { "term": "1164", "count": 15, "sections": 1, "gpa": 3.3666666666666667 }, { "term": "1174", "count": 32, "sections": 1, "gpa": 3.109375 } ] }, { "uid": "instructor_7342db773081c801c9779233", "name": "EDWARD ERKER", "count": 118, "terms": [ { "term": "1224", "count": 118, "sections": 2, "gpa": 3.26271186440678 } ] }, { "uid": "instructor_abc5e9172ef576551f2478dc", "name": "KRIS SANKARAN", "count": 115, "terms": [ { "term": "1212", "count": 61, "sections": 1, "gpa": 3.5901639344262297 }, { "term": "1222", "count": 54, "sections": 1, "gpa": 3.4444444444444446 } ] }, { "uid": "instructor_b0a1c7106c61b36ad2359c37", "name": "NIMAL WICKREMASINGHE", "count": 55, "terms": [ { "term": "1252", "count": 55, "sections": 1, "gpa": 3.381818181818182 } ] }, { "uid": "instructor_2e82e074b9b1de4eed9b4df0", "name": "PAUL SAVARIAPPAN", "count": 54, "terms": [ { "term": "1182", "count": 54, "sections": 1, "gpa": 3.5925925925925926 } ] }, { "uid": "instructor_cde4e8c99f184b699236bc13", "name": "MOHAMED ELKHOULY", "count": 49, "terms": [ { "term": "1212", "count": 49, "sections": 1, "gpa": 2.9489795918367347 } ] }, { "uid": "instructor_2046459e5630973d60ed2b15", "name": "NICHOLAS STEPHEN KEULER", "count": 40, "terms": [ { "term": "1142", "count": 40, "sections": 1, "gpa": 2.775 } ] } ] ``` ## following | code | title | | --------------- | ------------------------------------------------------ | | COMPSCI/ECE 561 | PROBABILITY AND INFORMATION THEORY IN MACHINE LEARNING | ## projection ### target 1272 ### interval #### lower 3.32 #### upper 3.64 #### coverage 80 #### terms 8 ### gpa 3.4794619269049125 ### grades | grade | percentage | | ----- | ------------------ | | A | 40.984455272501435 | | AB | 30.479705551627923 | | B | 21.186403951158187 | | BC | 3.1644587489322014 | | C | 2.280480140060684 | | D | 1.2980831638613646 | | F | 0.606413171858198 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 265 ### same Season true ### historical Range * 3.381818181818182 * 3.5508474576271185 ### backtest #### terms 8 #### gpa Error 0.0677299878501807 #### mix Error 14.54896270703592