# MATH 320: Linear Algebra and Differential Equations | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MATH_320) ## 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 c534c0ddb1819f18e76333daf72b576a9b7a2966383de2a8001978c1d5d92d2d ### course id MATH 320 ### course uid course\_0002a781bc9543f3a2ac1a94 ### catalog version id 386c096d62fa5db330868e599a746e0c51a2c76b7c39f5c5ef3372ff7416fc97 ### course number 320 ### subjects * MATH ### title LINEAR ALGEBRA AND DIFFERENTIAL EQUATIONS ### description An introduction to linear algebra and differential equations with emphasis on the relationship between the theory of linear algebra and analytical and numerical techniques for solving differential equations. Linear algebra topics include linear systems, matrices and their algebra, vector spaces and linear transformations, eigenvalues and eigenvectors. Topics from differential equations include first order ODE, homogeneous and nonhomogeneous linear systems, and numerical methods. ### requirements text MATH 222or graduate/professional standing. Not open to students with credit forMATH 319,340,341,345, or375. ### credits min 3 ### credits max 3 ### credit offering ids * 1272:600:011646 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 630b2b3303e0ca127837165f4067df6d9d4c0e0a793bf509674e5f508e0d3338 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduces linear algebra and differential equations, emphasizing the relationship between theory and numerical solution techniques. ### llm topics * Linear algebra: linear systems, matrices, vector spaces, linear transformations, eigenvalues, and eigenvectors. * Differential equations: first order ODE, homogeneous/nonhomogeneous linear systems, and numerical methods. ### llm skills * Applying analytical and numerical techniques to solve differential equations. * Analyzing linear systems, matrix algebra, vector spaces, and linear transformations. ### llm assumed background * Calculus and analytic geometry, including first order ODEs and vector geometry. ### llm search phrases * linear algebra differential equations * MATH 320 linear systems * eigenvalues eigenvectors numerical methods * homogeneous linear systems ODE ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 1dbf8b9cf19d8de717edc8028bc8c8a0f8306d1e9365d19fb3ed03c9c4f3b6c5 #### course id MATH 320 #### current instructors ```json [ { "instructor_uid": "instructor_4bb7740e09e01877ed99b331", "message": "No course-specific reviews available", "name": "Lars Niedorf", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:3063233", "summary": [] }, { "instructor_uid": "instructor_17b950f81888f4c4542d9e13", "message": "No course-specific reviews available", "name": "Matt DeLong", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:3113562", "summary": [] }, { "instructor_uid": "instructor_cbaa7816d43c2386e541298e", "message": null, "name": "Scott Hiatt", "review_status": "supported", "rmp_instructor_id": "rmp:3153000", "summary": [ { "citations": [ { "instructor_name": "Scott Hiatt", "review_date": "2025-12-22 21:10:47 +0000 UTC", "review_id": "e9d2cab4c19a12e9df6ae3c8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3153000", "source_review_id": "UmF0aW5nLTQyMzc3ODY5", "source_url": "https://www.ratemyprofessors.com/professor/3153000", "type": "review" }, { "instructor_name": "Scott Hiatt", "review_date": "2026-03-06 19:09:01 +0000 UTC", "review_id": "b0ffc24de1844d7b416f5d2d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3153000", "source_review_id": "UmF0aW5nLTQyNjc0MTg2", "source_url": "https://www.ratemyprofessors.com/professor/3153000", "type": "review" }, { "instructor_name": "Scott Hiatt", "review_date": "2026-05-01 17:12:15 +0000 UTC", "review_id": "d2100b5648d7a16a75c98f3d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3153000", "source_review_id": "UmF0aW5nLTQyOTk2MjM1", "source_url": "https://www.ratemyprofessors.com/professor/3153000", "type": "review" } ], "text": "Scott Hiatt receives criticism for mediocre lectures using fill-in-the-blank worksheets. Reviewers describe him as a tough grader with strict cutoffs and minimal exam help, noting practice exams often differ from actual tests." }, { "citations": [ { "instructor_name": "Scott Hiatt", "review_date": "2026-01-18 21:19:09 +0000 UTC", "review_id": "c052782fe083924463966fbf", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3153000", "source_review_id": "UmF0aW5nLTQyNTE3MDQ1", "source_url": "https://www.ratemyprofessors.com/professor/3153000", "type": "review" }, { "instructor_name": "Scott Hiatt", "review_date": "2026-05-08 02:44:00 +0000 UTC", "review_id": "7159db9feacdce6fe80c2701", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3153000", "source_review_id": "UmF0aW5nLTQzMDY3NDk5", "source_url": "https://www.ratemyprofessors.com/professor/3153000", "type": "review" } ], "text": "Conversely, other students praise Hiatt for being helpful and explaining concepts clearly. These reviewers appreciate his care for student understanding and the availability of previous exams that closely mirror actual tests." }, { "citations": [ { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 6, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.09 GPA, 44.9% A/AB (n=118 letter grades); Spring 2026: 3.11 GPA, 45.8% A/AB (n=240 letter grades)." } ] } ] ``` #### difficulty workload The course features a sharp difficulty curve and strict grading with no rounding. Workload consists of minimal homework, with three exams comprising almost the entire grade. ```json { "citations": [ { "instructor_name": "Scott Hiatt", "review_date": "2025-12-22 21:10:47 +0000 UTC", "review_id": "e9d2cab4c19a12e9df6ae3c8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3153000", "source_review_id": "UmF0aW5nLTQyMzc3ODY5", "source_url": "https://www.ratemyprofessors.com/professor/3153000", "type": "review" }, { "instructor_name": "Scott Hiatt", "review_date": "2026-01-18 21:19:09 +0000 UTC", "review_id": "c052782fe083924463966fbf", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3153000", "source_review_id": "UmF0aW5nLTQyNTE3MDQ1", "source_url": "https://www.ratemyprofessors.com/professor/3153000", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Leslie Smith, Yang Yang: Leslie Smith is a knowledgeable lecturer who answers questions well, though her conceptual and theoretical approach may not suit all students. Yang Yang explains concepts clearly through examples, making the course manageable with attention and homework, despite lacking posted notes. ```json { "citations": [ { "instructor_name": "Leslie Smith", "review_date": "2025-05-05 04:22:44 +0000 UTC", "review_id": "7c6d92b5d82a97c13c0e8893", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:152262", "source_review_id": "UmF0aW5nLTQxMTU4MTY5", "source_url": "https://www.ratemyprofessors.com/professor/152262", "type": "review" }, { "instructor_name": "Yang Yang", "review_date": "2026-05-08 17:28:37 +0000 UTC", "review_id": "e0206b8c29eab845f6abf78e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3131256", "source_review_id": "UmF0aW5nLTQzMDcxOTE2", "source_url": "https://www.ratemyprofessors.com/professor/3131256", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Scott Hiatt’s MATH 320 reviews are polarized, with students describing him as either helpful and clear or boring and ineffective. Exams are the primary grade component, and preparation strategies vary significantly among reviewers. ```json { "citations": [ { "instructor_name": "Scott Hiatt", "review_date": "2025-12-22 21:10:47 +0000 UTC", "review_id": "e9d2cab4c19a12e9df6ae3c8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3153000", "source_review_id": "UmF0aW5nLTQyMzc3ODY5", "source_url": "https://www.ratemyprofessors.com/professor/3153000", "type": "review" }, { "instructor_name": "Scott Hiatt", "review_date": "2026-01-18 21:19:09 +0000 UTC", "review_id": "c052782fe083924463966fbf", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3153000", "source_review_id": "UmF0aW5nLTQyNTE3MDQ1", "source_url": "https://www.ratemyprofessors.com/professor/3153000", "type": "review" }, { "instructor_name": "Scott Hiatt", "review_date": "2026-03-06 19:09:01 +0000 UTC", "review_id": "b0ffc24de1844d7b416f5d2d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3153000", "source_review_id": "UmF0aW5nLTQyNjc0MTg2", "source_url": "https://www.ratemyprofessors.com/professor/3153000", "type": "review" }, { "instructor_name": "Scott Hiatt", "review_date": "2026-05-01 17:12:15 +0000 UTC", "review_id": "d2100b5648d7a16a75c98f3d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3153000", "source_review_id": "UmF0aW5nLTQyOTk2MjM1", "source_url": "https://www.ratemyprofessors.com/professor/3153000", "type": "review" }, { "instructor_name": "Scott Hiatt", "review_date": "2026-05-08 02:44:00 +0000 UTC", "review_id": "7159db9feacdce6fe80c2701", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3153000", "source_review_id": "UmF0aW5nLTQzMDY3NDk5", "source_url": "https://www.ratemyprofessors.com/professor/3153000", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.14 GPA, 46.6% A/AB (n=746 letter grades); Fall 2025: 3.07 GPA, 45.9% A/AB (n=610 letter grades); Spring 2026: 3.16 GPA, 50.3% A/AB (n=787 letter grades). ```json { "citations": [ { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Students disagree on lecture value; some find them helpful for exam prep while others call them a waste of time. Reviewers note that practice exams may not match actual test content, and some suggest self-study via homework is more effective. ```json { "citations": [ { "instructor_name": "Scott Hiatt", "review_date": "2026-01-18 21:19:09 +0000 UTC", "review_id": "c052782fe083924463966fbf", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3153000", "source_review_id": "UmF0aW5nLTQyNTE3MDQ1", "source_url": "https://www.ratemyprofessors.com/professor/3153000", "type": "review" }, { "instructor_name": "Scott Hiatt", "review_date": "2026-03-06 19:09:01 +0000 UTC", "review_id": "b0ffc24de1844d7b416f5d2d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3153000", "source_review_id": "UmF0aW5nLTQyNjc0MTg2", "source_url": "https://www.ratemyprofessors.com/professor/3153000", "type": "review" }, { "instructor_name": "Scott Hiatt", "review_date": "2026-05-01 17:12:15 +0000 UTC", "review_id": "d2100b5648d7a16a75c98f3d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3153000", "source_review_id": "UmF0aW5nLTQyOTk2MjM1", "source_url": "https://www.ratemyprofessors.com/professor/3153000", "type": "review" }, { "instructor_name": "Scott Hiatt", "review_date": "2026-05-08 02:44:00 +0000 UTC", "review_id": "7159db9feacdce6fe80c2701", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3153000", "source_review_id": "UmF0aW5nLTQzMDY3NDk5", "source_url": "https://www.ratemyprofessors.com/professor/3153000", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ADRIANA NENCIU is recorded teaching in Fall 2006. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1072", "type": "grade" } ] } ``` BING WANG is recorded teaching in Fall 2012, Spring 2013. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1134", "type": "grade" } ] } ``` JOSEPH MILLER is recorded teaching in Spring 2011. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1114", "type": "grade" } ] } ``` LAURENTIU MAXIM is recorded teaching in Fall 2017. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" } ] } ``` LESLIE SMITH is recorded teaching in Spring 2008, Spring 2009, Fall 2009, Fall 2010, Fall 2011, Fall 2014, Spring 2016, Spring 2017, Spring 2020, Fall 2020, Fall 2021, Spring 2023, Spring 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1084", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1094", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1102", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1174", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" } ] } ``` MIKHAIL FELDMAN is recorded teaching in Fall 2008. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1092", "type": "grade" } ] } ``` SAVERIO SPAGNOLIE is recorded teaching in Fall 2015, Spring 2016, Fall 2016, Spring 2017. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1174", "type": "grade" } ] } ``` SCOTT HIATT is recorded teaching in Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 6, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` SEAN ROSTAMI is recorded teaching in Spring 2014. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" } ] } ``` SIGURD ANGENENT is recorded teaching in Spring 2010, Spring 2011. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1104", "type": "grade" }, { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1114", "type": "grade" } ] } ``` YANG YANG is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` YUCHEN LIAO is recorded teaching in Fall 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 320", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "source_record": { "entity_id": "2cff971f-1ac1-35f2-9871-853b5a3255c5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "MATH 222or graduate/professional standing. Not open to students with credit forMATH 319,340,341,345, or375.", "id": "n0", "kind": "all" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "MATH 222or graduate/professional standing.", "id": "n1", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 222, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 222", "id": "n3", "kind": "course" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n4", "kind": "condition" }, { "children": [ "n5" ], "condition": null, "course": null, "evidence": "Not open to students with credit forMATH 319,340,341,345, or375.", "id": "n2", "kind": "not" }, { "children": [ "n6", "n7", "n8", "n9", "n10" ], "condition": null, "course": null, "evidence": "credit forMATH 319,340,341,345, or375", "id": "n5", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 319, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 319", "id": "n6", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 340, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "340", "id": "n7", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 341, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "341", "id": "n8", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 345, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "345", "id": "n9", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 375, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "375", "id": "n10", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_0391912c14fb601777dadf52", "source": "enrollment", "source_instructor_id": "hhuang343", "identity_basis": "netid", "identity_status": "source_identified", "name": "Hongjing Huang", "email": "HHUANG343@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/HONGJING_HUANG" }, { "instructor_uid": "instructor_88d124ea781f1ab4dde87dac", "source": "enrollment", "source_instructor_id": "hzhu322", "identity_basis": "netid", "identity_status": "source_identified", "name": "Hongyu Zhu", "email": "HONGYU@MATH.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/HONGYU_ZHU" }, { "instructor_uid": "instructor_b19020795187a09624d05138", "source": "enrollment", "source_instructor_id": "wan44", "identity_basis": "netid", "identity_status": "source_identified", "name": "Jia Wan", "email": "WAN44@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/JIA_WAN" }, { "instructor_uid": "instructor_c6dcc530d361b4641a33f3a5", "source": "enrollment", "source_instructor_id": "kjin34", "identity_basis": "netid", "identity_status": "source_identified", "name": "Kaiwen Jin", "email": "KJIN34@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/KAIWEN_JIN" }, { "instructor_uid": "instructor_4bb7740e09e01877ed99b331", "source": "enrollment", "source_instructor_id": "niedorf", "identity_basis": "netid", "identity_status": "source_identified", "name": "Lars Niedorf", "email": "NIEDORF@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": 11, "quality": 4.55, 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"name": "Matt DeLong", "email": "MEDELONG@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": 22, "quality": 4.59, "difficulty": 2.86, "quality_count": 22, "difficulty_count": 22, "profile_id": "rmp:3113562", "source_url": "https://www.ratemyprofessors.com/professor/3113562", "match_basis": "exact_name", "observed_at": "2026-09-07 16:19:56.814662+00:00", "courses": {}, "bayesian_quality": 4.146993230260283, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MATT_DELONG" }, { "instructor_uid": "instructor_cbaa7816d43c2386e541298e", "source": "enrollment", "source_instructor_id": "shiatt", "identity_basis": "netid", "identity_status": "source_identified", "name": "Scott Hiatt", "email": "SHIATT@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": 5, "quality": 3.2, "difficulty": 3, "quality_count": 5, "difficulty_count": 5, "profile_id": "rmp:3153000", "source_url": "https://www.ratemyprofessors.com/professor/3153000", "match_basis": "exact_name", "observed_at": "2026-09-07 16:06:41.542144+00:00", "courses": { "course_0002a781bc9543f3a2ac1a94": { "review_count": 5, "quality": 3.2, "difficulty": 3, "quality_count": 5, "difficulty_count": 5 } }, "bayesian_quality": 3.5677486268372762, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/SCOTT_HIATT" }, { "instructor_uid": "instructor_b3cf544bdeec03215b14a366", "source": "enrollment", "source_instructor_id": "wei78", "identity_basis": "netid", "identity_status": "source_identified", "name": "Yifan Wei", "email": "YIFAN.WEI@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": 2, "quality": 1, "difficulty": 5, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2984537", "source_url": "https://www.ratemyprofessors.com/professor/2984537", "match_basis": "exact_name", "observed_at": "2026-09-07 15:57:50.595568+00:00", "courses": { "course_be7b0773bc9d040384a6a3ce": { "review_count": 2, "quality": 1, "difficulty": 5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.417896166860541, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/YIFAN_WEI" }, { "instructor_uid": "instructor_0ec93b0790a2e030a874a560", "source": "enrollment", "source_instructor_id": "ygu222", "identity_basis": "netid", "identity_status": "source_identified", "name": "Yihan Gu", "email": "YGU222@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/YIHAN_GU" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:600:011646", "course_id": "MATH 320", "course_uid": "course_0002a781bc9543f3a2ac1a94", "term_id": "1272", "source_course_id": "011646", "source_subject_id": "600", "title": "Linear Algebra and Differential Equations", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:14727", "term_id": "1272", "source_section_id": "14727", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 96, "enrolled": 92, "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:1272:14728", "term_id": "1272", "source_section_id": "14728", "identity_basis": "class_number", 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06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:36842", "term_id": "1272", "source_section_id": "36842", "identity_basis": "class_number", "section_number": "385", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 32, "enrolled": 29, "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:1272:36843", "term_id": "1272", "source_section_id": "36843", "identity_basis": "class_number", "section_number": "386", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 32, "enrolled": 29, "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:1272:36844", "term_id": "1272", "source_section_id": "36844", "identity_basis": "class_number", "section_number": "387", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 32, "enrolled": 29, "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:1272:36845", "term_id": "1272", "source_section_id": "36845", "identity_basis": "class_number", "section_number": "388", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 32, "enrolled": 28, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_16711a75ae7db1c9f3d533ae", "source": "madgrades", "source_instructor_id": "4172262", "identity_basis": "source_id", "identity_status": 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"semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 320", "course_uid": "course_0002a781bc9543f3a2ac1a94", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "HAIXIAO WANG", "Kaitlyn Phillipson", "Scott Hiatt", "Yang Yang" ], "a": 270, "ab": 126, "b": 191, "bc": 66, "c": 101, "d": 25, "f": 8, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 6, "no_work": 0, "not_reported": 0, "other": 0, "total": 793, "source_aliases": [ "MATH 320" ] } ] ``` ### statistics #### gpa 2.948 #### graded 16369 #### counts * 4345 * 2490 * 4066 * 1782 * 2313 * 877 * 496 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_0002a781bc9543f3a2ac1a94-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_0002a781bc9543f3a2ac1a94-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_0002a781bc9543f3a2ac1a94-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_0002a781bc9543f3a2ac1a94-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_0002a781bc9543f3a2ac1a94-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_0002a781bc9543f3a2ac1a94-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_0002a781bc9543f3a2ac1a94-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_0002a781bc9543f3a2ac1a94-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_0002a781bc9543f3a2ac1a94-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_0002a781bc9543f3a2ac1a94-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 2.947706029690268 #### count 16369 #### university ##### size 5784 ##### gpa Percentile 1 ##### count Percentile 99 ##### 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 | true | | 3.2–3.6 | 1576 | false | | 3.6–4.0 | 3833 | false | #### departments ```json [ { "subject": "MATH", "comparison": { "size": 136, "gpaPercentile": 7, "countPercentile": 97, "medianCount": 272.5, "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": 4, "current": false }, { "range": "2.8–3.2", "count": 33, "current": true }, { "range": "3.2–3.6", "count": 25, "current": false }, { "range": "3.6–4.0", "count": 74, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.0170212765957447 ##### count 235 ##### university ###### size 723 ###### gpa Percentile 21 ###### count Percentile 89 ###### 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 | 62 | false | | 2.8–3.2 | 174 | true | | 3.2–3.6 | 306 | false | | 3.6–4.0 | 180 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 21, "gpaPercentile": 70, "countPercentile": 70, "medianCount": 115, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 10, "current": false }, { "range": "2.8–3.2", "count": 6, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1074 ##### term 1074 ##### gpa 3.0472972972972974 ##### count 222 ##### university ###### size 695 ###### gpa Percentile 21 ###### count Percentile 88 ###### 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 | 3 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 184 | true | | 3.2–3.6 | 256 | false | | 3.6–4.0 | 199 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 17, "gpaPercentile": 75, "countPercentile": 75, "medianCount": 133, "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": 3, "current": false }, { "range": "2.4–2.8", "count": 8, "current": false }, { "range": "2.8–3.2", "count": 3, "current": true }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1082 ##### term 1082 ##### gpa 2.6121323529411766 ##### count 272 ##### university ###### size 723 ###### gpa Percentile 1 ###### count Percentile 91 ###### 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 | 51 | true | | 2.8–3.2 | 202 | false | | 3.2–3.6 | 265 | false | | 3.6–4.0 | 204 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 20, "gpaPercentile": 21, "countPercentile": 74, "medianCount": 122, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 9, "current": true }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1084 ##### term 1084 ##### gpa 2.6029411764705883 ##### count 306 ##### university ###### size 720 ###### gpa Percentile 1 ###### count Percentile 93 ###### 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 | true | | 2.8–3.2 | 207 | false | | 3.2–3.6 | 248 | false | | 3.6–4.0 | 217 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 22, "gpaPercentile": 24, "countPercentile": 81, "medianCount": 88.5, "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": 2, "current": false }, { "range": "2.4–2.8", "count": 5, "current": true }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1092 ##### term 1092 ##### gpa 2.6571969696969697 ##### count 264 ##### university ###### size 732 ###### gpa Percentile 2 ###### count Percentile 91 ###### 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 | true | | 2.8–3.2 | 208 | false | | 3.2–3.6 | 271 | false | | 3.6–4.0 | 211 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 22, "gpaPercentile": 19, "countPercentile": 76, "medianCount": 131, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 9, "current": true }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1094 ##### term 1094 ##### gpa 2.8594249201277955 ##### count 313 ##### university ###### size 758 ###### gpa Percentile 7 ###### count Percentile 93 ###### 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 | true | | 3.2–3.6 | 259 | false | | 3.6–4.0 | 236 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 19, "gpaPercentile": 39, "countPercentile": 78, "medianCount": 108, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 10, "current": true }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1102 ##### term 1102 ##### gpa 2.7253968253968255 ##### count 315 ##### university ###### size 774 ###### gpa Percentile 5 ###### count Percentile 93 ###### 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 | true | | 2.8–3.2 | 201 | false | | 3.2–3.6 | 287 | false | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 27, "gpaPercentile": 23, "countPercentile": 81, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 8, "current": true }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 3.0368731563421827 ##### count 339 ##### university ###### size 793 ###### gpa Percentile 20 ###### count Percentile 95 ###### 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 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | true | | 3.2–3.6 | 294 | false | | 3.6–4.0 | 241 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 23, "gpaPercentile": 55, "countPercentile": 86, "medianCount": 98, "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": 3, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 10, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 2.7814685314685317 ##### count 286 ##### university ###### size 805 ###### gpa Percentile 5 ###### count Percentile 93 ###### 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 | 45 | true | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 316 | false | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 28, "countPercentile": 80, "medianCount": 87, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 7, "current": true }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1114 ##### term 1114 ##### gpa 3.095567867036011 ##### count 361 ##### university ###### size 804 ###### gpa Percentile 26 ###### count Percentile 95 ###### 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 | true | | 3.2–3.6 | 292 | false | | 3.6–4.0 | 227 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 72, "countPercentile": 84, "medianCount": 83.5, "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": 8, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 2.6333333333333333 ##### count 270 ##### university ###### size 804 ###### gpa Percentile 2 ###### count Percentile 93 ###### 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 | 47 | true | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 282 | false | | 3.6–4.0 | 248 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 27, "gpaPercentile": 12, "countPercentile": 77, "medianCount": 103, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 9, "current": true }, { "range": "2.8–3.2", "count": 14, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1124 ##### term 1124 ##### gpa 2.461340206185567 ##### count 388 ##### university ###### size 821 ###### gpa Percentile 0 ###### count Percentile 96 ###### 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 | true | | 2.8–3.2 | 223 | false | | 3.2–3.6 | 278 | false | | 3.6–4.0 | 280 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 28, "gpaPercentile": 0, "countPercentile": 85, "medianCount": 75, "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": 11, "current": true }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 2.8722397476340693 ##### count 317 ##### university ###### size 851 ###### gpa Percentile 7 ###### count Percentile 94 ###### 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 | true | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 25, "gpaPercentile": 29, "countPercentile": 75, "medianCount": 108, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 2.8833333333333333 ##### count 390 ##### university ###### size 852 ###### gpa Percentile 7 ###### count Percentile 97 ###### 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 | true | | 3.2–3.6 | 304 | false | | 3.6–4.0 | 287 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 36, "countPercentile": 84, "medianCount": 83.5, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 19, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 2.780564263322884 ##### count 319 ##### university ###### size 853 ###### gpa Percentile 4 ###### count Percentile 94 ###### 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": "MATH", "comparison": { "size": 31, "gpaPercentile": 30, "countPercentile": 80, "medianCount": 77, "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": 2, "current": false }, { "range": "2.4–2.8", "count": 8, "current": true }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 2.324519230769231 ##### count 416 ##### university ###### size 878 ###### gpa Percentile 0 ###### count Percentile 97 ###### 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 | true | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 30, "gpaPercentile": 3, "countPercentile": 90, "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": 2, "current": true }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 19, "current": false }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 2.829185520361991 ##### count 442 ##### university ###### size 918 ###### gpa Percentile 5 ###### count Percentile 97 ###### 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 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 24, "countPercentile": 88, "medianCount": 82, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 2.881521739130435 ##### count 460 ##### university ###### size 935 ###### gpa Percentile 7 ###### count Percentile 97 ###### 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 | true | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 33, "gpaPercentile": 41, "countPercentile": 94, "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": 10, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 2.8974358974358974 ##### count 429 ##### university ###### size 954 ###### gpa Percentile 6 ###### count Percentile 96 ###### 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 | true | | 3.2–3.6 | 350 | false | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 23, "countPercentile": 86, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 20, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 2.755040322580645 ##### count 496 ##### university ###### size 965 ###### gpa Percentile 3 ###### count Percentile 98 ###### 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 | true | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 32, "gpaPercentile": 23, "countPercentile": 94, "medianCount": 83, "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": 2, "current": false }, { "range": "2.4–2.8", "count": 10, "current": true }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 2.878132118451025 ##### count 439 ##### university ###### size 991 ###### gpa Percentile 4 ###### count Percentile 97 ###### 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 | true | | 3.2–3.6 | 353 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 20, "countPercentile": 86, "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": 4, "current": false }, { "range": "2.8–3.2", "count": 21, "current": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 2.8982494529540483 ##### count 457 ##### university ###### size 955 ###### gpa Percentile 6 ###### count Percentile 98 ###### 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": "MATH", "comparison": { "size": 32, "gpaPercentile": 52, "countPercentile": 94, "medianCount": 89, "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": 9, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 2.8859832635983262 ##### count 478 ##### university ###### size 1025 ###### gpa Percentile 4 ###### count Percentile 97 ###### 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 | true | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 20, "countPercentile": 89, "medianCount": 80, "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": 5, "current": false }, { "range": "2.8–3.2", "count": 21, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.0717171717171716 ##### count 495 ##### university ###### size 1010 ###### gpa Percentile 15 ###### count Percentile 98 ###### 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 | true | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 63, "countPercentile": 91, "medianCount": 83.5, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 7, "current": false }, { "range": "2.8–3.2", "count": 18, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 2.8857142857142857 ##### count 455 ##### university ###### size 1077 ###### gpa Percentile 4 ###### count Percentile 96 ###### 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 | true | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 18, "countPercentile": 84, "medianCount": 99, "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": 4, "current": false }, { "range": "2.8–3.2", "count": 24, "current": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.101436265709156 ##### count 557 ##### university ###### size 1040 ###### gpa Percentile 17 ###### count Percentile 98 ###### 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 | true | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 38, "gpaPercentile": 65, "countPercentile": 95, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 18, "current": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.003712871287129 ##### count 404 ##### university ###### size 1102 ###### gpa Percentile 7 ###### count Percentile 96 ###### 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 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 40, "gpaPercentile": 36, "countPercentile": 82, "medianCount": 90.5, "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": 4, "current": false }, { "range": "2.8–3.2", "count": 24, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.47265625 ##### count 384 ##### university ###### size 1012 ###### gpa Percentile 17 ###### count Percentile 97 ###### 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": "MATH", "comparison": { "size": 29, "gpaPercentile": 50, "countPercentile": 89, "medianCount": 83, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 20, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.006527415143603 ##### count 383 ##### university ###### size 1111 ###### gpa Percentile 4 ###### count Percentile 95 ###### 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 | true | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 41, "gpaPercentile": 23, "countPercentile": 83, "medianCount": 87, "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": 18, "current": true }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 2.815151515151515 ##### count 330 ##### university ###### size 1157 ###### gpa Percentile 2 ###### count Percentile 94 ###### 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 | true | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 16, "countPercentile": 79, "medianCount": 63, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 13, "current": true }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 2.978640776699029 ##### count 515 ##### university ###### size 1171 ###### gpa Percentile 6 ###### count Percentile 97 ###### 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 | true | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 24, "countPercentile": 88, "medianCount": 87.5, "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": 2, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 12, "current": true }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.2325 ##### count 400 ##### university ###### size 1216 ###### gpa Percentile 17 ###### count Percentile 95 ###### 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": "MATH", "comparison": { "size": 43, "gpaPercentile": 52, "countPercentile": 81, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 17, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.1742957746478875 ##### count 568 ##### university ###### size 1188 ###### gpa Percentile 13 ###### count Percentile 98 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | true | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 41, "gpaPercentile": 48, "countPercentile": 88, "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": 2, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 13, "current": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.1971677559912854 ##### count 459 ##### university ###### size 1295 ###### gpa Percentile 13 ###### count Percentile 96 ###### 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 | true | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 48, "countPercentile": 83, "medianCount": 80, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 17, "current": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.1128472222222223 ##### count 576 ##### university ###### size 1241 ###### gpa Percentile 9 ###### count Percentile 98 ###### 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 | true | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 40, "countPercentile": 90, "medianCount": 68, "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": 2, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 20, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.0277777777777777 ##### count 486 ##### university ###### size 1333 ###### gpa Percentile 5 ###### count Percentile 96 ###### 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 | true | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 26, "countPercentile": 79, "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": 5, "current": false }, { "range": "2.8–3.2", "count": 20, "current": true }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.1394101876675604 ##### count 746 ##### university ###### size 1289 ###### gpa Percentile 9 ###### count Percentile 99 ###### 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 | true | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 42, "countPercentile": 95, "medianCount": 89, "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": 6, "current": false }, { "range": "2.8–3.2", "count": 16, "current": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.072950819672131 ##### count 610 ##### university ###### size 1320 ###### gpa Percentile 5 ###### count Percentile 98 ###### 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 | true | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 33, "countPercentile": 88, "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": 3, "current": false }, { "range": "2.8–3.2", "count": 18, "current": true }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.1588310038119443 ##### count 787 ##### university ###### size 1283 ###### gpa Percentile 10 ###### count Percentile 99 ###### 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 | true | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 42, "gpaPercentile": 59, "countPercentile": 95, "medianCount": 80, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 7, "current": false }, { "range": "2.8–3.2", "count": 17, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5784 ###### gpa 3.6736255573368366 ###### top Share 82.68719706118685 ###### count 240.5 ##### MATH ###### size 136 ###### gpa 3.5494544646749766 ###### top Share 75.15568951719919 ###### count 272.5 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### MATH ###### size 21 ###### gpa 2.878188611674867 ###### top Share 40.4748751710427 ###### count 115 ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ###### MATH ###### size 17 ###### gpa 2.821339129045922 ###### top Share 38.66654769268061 ###### count 133 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### MATH ###### size 20 ###### gpa 2.8603540012311925 ###### top Share 39.28661748894661 ###### count 122 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### MATH ###### size 22 ###### gpa 2.977459424628873 ###### top Share 44.52710820759676 ###### count 88.5 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### MATH ###### size 22 ###### gpa 2.8820162698417926 ###### top Share 39.71597770466243 ###### count 131 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### MATH ###### size 19 ###### gpa 2.861322177541941 ###### top Share 40.26350030907326 ###### count 108 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### MATH ###### size 27 ###### gpa 2.936619140855453 ###### top Share 42.28372460948232 ###### count 76 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### MATH ###### size 23 ###### gpa 2.9531575824731964 ###### top Share 43.549837152646596 ###### count 98 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### MATH ###### size 26 ###### gpa 2.9941347625171355 ###### top Share 43.79682105650899 ###### count 87 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### MATH ###### size 26 ###### gpa 2.9090822348911582 ###### top Share 41.14706210117883 ###### count 83.5 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### MATH ###### size 27 ###### gpa 2.898067749128924 ###### top Share 42.09489165698714 ###### count 103 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### MATH ###### size 28 ###### gpa 2.9109864595893504 ###### top Share 42.40580272314707 ###### count 75 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### MATH ###### size 25 ###### gpa 2.9605395515107897 ###### top Share 42.794601137643824 ###### count 108 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### MATH ###### size 26 ###### gpa 2.938004331770204 ###### top Share 42.318323348030226 ###### count 83.5 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### MATH ###### size 31 ###### gpa 3.009040780059457 ###### top Share 45.87481076818359 ###### count 77 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### MATH ###### size 30 ###### gpa 2.926152797086596 ###### top Share 42.17363619414386 ###### count 79 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### MATH ###### size 34 ###### gpa 3.0803080141506425 ###### top Share 49.72677618758506 ###### count 82 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### MATH ###### size 33 ###### gpa 2.9834698949629033 ###### top Share 46.71989715257013 ###### count 69 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### MATH ###### size 36 ###### gpa 3.1059509777204544 ###### top Share 50.071044743474 ###### count 74.5 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### MATH ###### size 32 ###### gpa 2.995223360849456 ###### top Share 46.38098813836469 ###### count 83 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### MATH ###### size 36 ###### gpa 3.098601909983034 ###### top Share 48.67573746500224 ###### count 66 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### MATH ###### size 32 ###### gpa 2.992971960864239 ###### top Share 44.393513280464695 ###### count 89 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### MATH ###### size 36 ###### gpa 3.0839531022443034 ###### top Share 48.116975859522796 ###### count 80 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### MATH ###### size 36 ###### gpa 3.0650838986714333 ###### top Share 47.42689290604571 ###### count 83.5 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### MATH ###### size 39 ###### gpa 3.1003216533236415 ###### top Share 50.01588968281552 ###### count 99 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### MATH ###### size 38 ###### gpa 3.133406260873163 ###### top Share 53.17595010634325 ###### count 71.5 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### MATH ###### size 40 ###### gpa 3.1467748801316944 ###### top Share 52.57847974231038 ###### count 90.5 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### MATH ###### size 29 ###### gpa 3.478717830475146 ###### top Share 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"name": "MARSHALL SLEMROD", "count": 58, "terms": [ { "term": "1084", "count": 58, "sections": 1, "gpa": 2.646551724137931 } ] }, { "uid": "instructor_c552b0b64c2074d50c35dd42", "name": "ROMAN G SHTERENBERG", "count": 57, "terms": [ { "term": "1074", "count": 57, "sections": 1, "gpa": 3.2280701754385963 } ] }, { "uid": "instructor_cd2c0c17cab3cc2b827bfdb2", "name": "ALEX WALDRON", "count": 32, "terms": [ { "term": "1212", "count": 32, "sections": 1, "gpa": 2.40625 } ] }, { "uid": "instructor_12d87346f1e3d02a2dacf52c", "name": "XIANGHONG GONG", "count": 30, "terms": [ { "term": "1082", "count": 30, "sections": 1, "gpa": 2.45 } ] }, { "uid": "instructor_6a552410333ca0480b90d171", "name": "MAURICE FABIEN", "count": 16, "terms": [ { "term": "1232", "count": 16, "sections": 1, "gpa": 3.875 } ] }, { "uid": "instructor_bfe4af4185f03aa74bee4a38", "name": "HAIXIAO WANG", "count": 12, "terms": [ { "term": "1264", "count": 12, "sections": 1, "gpa": 3.75 } ] } ] ``` ## following | code | title | | ------------------------------ | ----------------------------------------------------------------------- | | ASTRON 590 | ASTRODYNAMICS | | ATMOCN 460 | FUNDAMENTALS OF PHYSICAL OCEANOGRAPHY | | BIOCHEM/BMI/BMOLCHEM/MATH 609 | MATHEMATICAL METHODS FOR SYSTEMS BIOLOGY | | BME 330 | ENGINEERING PRINCIPLES OF MOLECULES, CELLS, AND TISSUES | | BME 520 | STEM CELL BIOENGINEERING | | BME 556 | SYSTEMS BIOLOGY: MAMMALIAN SIGNALING NETWORKS | | BME/HONCOL/MEDPHYS/PHYSICS 501 | RADIATION PHYSICS AND DOSIMETRY | | BME/MEDPHYS 573 | MATHEMATICAL METHODS IN MEDICAL PHYSICS | | BME/MEDPHYS 578 | NON-IONIZING DIAGNOSTIC IMAGING | | BMI/COMPSCI 567 | BIOMEDICAL IMAGE ANALYSIS | | CBE 255 | INTRODUCTION TO CHEMICAL PROCESS MODELING | | CBE 320 | INTRODUCTORY TRANSPORT PHENOMENA | | CHEM 361 | MACHINE LEARNING IN CHEMISTRY | | COMPSCI 540 | INTRODUCTION TO ARTIFICIAL INTELLIGENCE | | COMPSCI 541 | THEORY & ALGORITHMS FOR DATA SCIENCE | | COMPSCI 550 | ALGORITHMIC GAME THEORY & LEARNING | | COMPSCI 557 | PARALLEL & THROUGHPUT- OPTIMIZED PROGRAMMING | | COMPSCI 566 | INTRODUCTION TO COMPUTER VISION | | COMPSCI 580 | INTELLIGENT ROBOTICS | | COMPSCI/ECE 533 | IMAGE PROCESSING | | COMPSCI/ECE 561 | PROBABILITY AND INFORMATION THEORY IN MACHINE LEARNING | | COMPSCI/ECE/ISYE 524 | INTRODUCTION TO OPTIMIZATION | | COMPSCI/ECE/MATH 435 | INTRODUCTION TO CRYPTOGRAPHY | | COMPSCI/ECE/ME 532 | MATRIX METHODS IN MACHINE LEARNING | | COMPSCI/ISYE/MATH 425 | INTRODUCTION TO COMBINATORIAL OPTIMIZATION | | COMPSCI/ISYE/MATH/STAT 525 | LINEAR OPTIMIZATION | | COMPSCI/MATH 513 | NUMERICAL LINEAR ALGEBRA | | COMPSCI/MATH 514 | NUMERICAL ANALYSIS | | COMPSCI/MATH/STAT 475 | INTRODUCTION TO COMBINATORICS | | ECE 334 | STATE SPACE SYSTEMS ANALYSIS | | ECE/ME 441 | KINEMATICS, DYNAMICS, AND CONTROL OF ROBOTIC MANIPULATORS | | EMA/EP 471 | INTERMEDIATE PROBLEM SOLVING FOR ENGINEERS | | EMA/EP 548 | ENGINEERING ANALYSIS II | | EP 476 | INTRODUCTION TO SCIENTIFIC COMPUTING FOR ENGINEERING PHYSICS | | ISYE 320 | SIMULATION AND PROBABILISTIC MODELING | | ISYE 624 | STOCHASTIC MODELING TECHNIQUES | | ISYE/MATH/OTM/STAT 632 | INTRODUCTION TO STOCHASTIC PROCESSES | | MATH 321 | APPLIED MATHEMATICAL ANALYSIS 1: VECTOR AND COMPLEX CALCULUS | | MATH 415 | APPLIED DYNAMICAL SYSTEMS, CHAOS AND MODELING | | MATH 443 | APPLIED LINEAR ALGEBRA | | MATH 444 | GRAPHS AND NETWORKS IN DATA SCIENCE | | MATH 467 | INTRODUCTION TO NUMBER THEORY | | MATH 519 | ORDINARY DIFFERENTIAL EQUATIONS | | MATH 522 | ANALYSIS II | | MATH 535 | MATHEMATICAL METHODS IN DATA SCIENCE | | MATH 540 | LINEAR ALGEBRA II | | MATH 541 | MODERN ALGEBRA 1 | | MATH 561 | DIFFERENTIAL GEOMETRY | | MATH 616 | DATA-DRIVEN DYNAMICAL SYSTEMS, STOCHASTIC MODELING AND PREDICTION | | MATH 619 | ANALYSIS OF PARTIAL DIFFERENTIAL EQUATIONS | | MATH/PHILOS 571 | MATHEMATICAL LOGIC | | ME 331 | COMPUTER-AIDED ENGINEERING | | ME 340 | DYNAMIC SYSTEMS | | ME 363 | FLUID DYNAMICS | | ME 376 | INTRODUCTION TO MECHATRONICS | | ME 446 | INTRODUCTION TO FEEDBACK CONTROL | | ME 473 | ELECTROCHEMICAL ENGINEERING: DEVICES FOR ENERGY CONVERSION AND STORAGE | | ME 536 | MACHINE LEARNING FOR DATA-DRIVEN ENGINEERING DESIGN | | MS\&E 331 | TRANSPORT PHENOMENA IN MATERIALS | | MS\&E 660 | MESOSCALE MODELING OF MATERIALS | | NE 405 | NUCLEAR REACTOR THEORY | | STAT 433 | DATA SCIENCE WITH R | | STAT 451 | INTRODUCTION TO MACHINE LEARNING AND STATISTICAL PATTERN CLASSIFICATION | | STAT 453 | INTRODUCTION TO DEEP LEARNING AND GENERATIVE MODELS | | STAT 456 | APPLIED MULTIVARIATE ANALYSIS | | STAT 575 | STATISTICAL METHODS FOR SPATIAL DATA | ## projection ### target 1272 ### interval #### lower 2.76 #### upper 3.4 #### coverage 80 #### terms 8 ### gpa 3.0787382396284015 ### grades | grade | percentage | | ----- | ------------------ | | A | 31.032660397805845 | | AB | 16.041206419758556 | | B | 24.40848698807017 | | BC | 10.333285074681378 | | C | 12.469876574244786 | | D | 3.6005331030583427 | | F | 2.113951442380915 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 2285 ### same Season true ### historical Range * 2.8151515151515154 * 3.2325000000000004 ### backtest #### terms 8 #### gpa Error 0.11480513180136215 #### mix Error 9.02372887982163