# MATH 340: Elementary Matrix and Linear Algebra | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MATH_340) ## 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 a40922f9b8391a3bddc4febedfaf91ffc2815de4cf845c9ed96298bcc435c7a6 ### course id MATH 340 ### course uid course\_eec4aae06b946a73f1878be4 ### catalog version id 61da0ad54d7a13a63bd73e2b7221216bc9f725fbc70c4134281bdaa0fcbd5959 ### course number 340 ### subjects * MATH ### title ELEMENTARY MATRIX AND LINEAR ALGEBRA ### description An introduction to linear algebra. Topics include matrix algebra, linear systems of equations, vector spaces, sub-spaces, linear dependence, span, basis, rank of matrices, determinants, linear transformations, coordinate representations, kernel, range, eigenvalues and eigenvectors, diagonalization, inner products and orthogonal vectors, symmetric matrices. Covers linear algebra topics in greater depth and detail thanMATH 320. Formal techniques in mathematical argument \[MATH 341] not covered. ### requirements text MATH 222. Not open to students with credit forMATH 341,345, or375 ### credits min 3 ### credits max 3 ### credit offering ids * 1272:600:011655 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id f242db2b60bf7cc9a685d5963ab87e1fa0e738a358f8929558a07f35e3175b92 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MATH 340 is an introduction to linear algebra covering matrix algebra, vector spaces, linear transformations, eigenvalues, and inner product spaces. ### llm topics * Matrix algebra and linear systems * Vector spaces and determinants * Linear transformations * Eigenvalues and diagonalization * Inner products and symmetric matrices ### llm skills * Matrix algebra and linear systems * Vector space theory * Linear transformations and mappings * Eigenvalue analysis and diagonalization * Inner product spaces and orthogonality ### llm assumed background * Calculus and vector geometry ### llm search phrases * linear algebra matrix algebra * eigenvalues eigenvectors diagonalization * vector spaces linear transformations * MATH 340 elementary matrix ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash adf74e7c87ac1ded416b9b84c9f983fabddb13a5a48213660205dc5fb783018f #### course id MATH 340 #### current instructors ```json [ { "instructor_uid": "instructor_b72f557dc64939ca32f6a640", "message": null, "name": "Kaitlyn Phillipson", "review_status": "supported", "rmp_instructor_id": "rmp:2865117", "summary": [ { "citations": [ { "instructor_name": "Kaitlyn Phillipson", "review_date": "2023-04-11 18:31:43 +0000 UTC", "review_id": "4521b3ce2b483f4b5655b15b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2865117", "source_review_id": "UmF0aW5nLTM3NjA5NDQ5", "source_url": "https://www.ratemyprofessors.com/professor/2865117", "type": "review" }, { "instructor_name": "Kaitlyn Phillipson", "review_date": "2023-05-17 02:32:31 +0000 UTC", "review_id": "b101a718ef147d1a4ef31b3f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2865117", "source_review_id": "UmF0aW5nLTM3OTQxNjQw", "source_url": "https://www.ratemyprofessors.com/professor/2865117", "type": "review" }, { "instructor_name": "Kaitlyn Phillipson", "review_date": "2023-12-17 02:59:09 +0000 UTC", "review_id": "669205020921633bd0089a42", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2865117", "source_review_id": "UmF0aW5nLTM4NzEyODI2", "source_url": "https://www.ratemyprofessors.com/professor/2865117", "type": "review" } ], "text": "Kaitlyn Phillipson receives consistent praise for simplifying complex concepts, providing interactive lectures, and offering structured materials like note templates. Reviewers highlight her patience, willingness to re-explain topics, and the helpfulness of recorded lectures and available TAs." }, { "citations": [ { "instructor_name": "Kaitlyn Phillipson", "review_date": "2024-05-20 04:41:42 +0000 UTC", "review_id": "e3468ce453362aabd3ed4b72", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2865117", "source_review_id": "UmF0aW5nLTM5NDk1NDEw", "source_url": "https://www.ratemyprofessors.com/professor/2865117", "type": "review" }, { "instructor_name": "Kaitlyn Phillipson", "review_date": "2023-04-11 18:31:43 +0000 UTC", "review_id": "4521b3ce2b483f4b5655b15b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2865117", "source_review_id": "UmF0aW5nLTM3NjA5NDQ5", "source_url": "https://www.ratemyprofessors.com/professor/2865117", "type": "review" } ], "text": "While Phillipson is highly recommended, one reviewer notes that grade criteria are strict, though clear. Another mentions the course material itself is difficult, despite the professor's effective teaching style and support." }, { "citations": [ { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 6, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" } ], "text": "Recent recorded grades — Fall 2022: 3.03 GPA, 43.8% A/AB (n=89 letter grades); Spring 2023: 3.17 GPA, 51.6% A/AB (n=124 letter grades); Fall 2023: 3.17 GPA, 50.7% A/AB (n=215 letter grades)." } ] }, { "instructor_uid": "instructor_f6a365d9ffb188b027bffbad", "message": "No course-specific reviews available", "name": "Paige Hillen", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:3142126", "summary": [ { "citations": [ { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 6, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.04 GPA, 42.7% A/AB (n=75 letter grades)." } ] } ] ``` #### difficulty workload Reviewers describe the workload as fairly light and note that Dr. Phillipson’s clear grading criteria make studying manageable, despite the inherent difficulty of the subject matter. ```json { "citations": [ { "instructor_name": "Kaitlyn Phillipson", "review_date": "2023-04-11 18:31:43 +0000 UTC", "review_id": "4521b3ce2b483f4b5655b15b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2865117", "source_review_id": "UmF0aW5nLTM3NjA5NDQ5", "source_url": "https://www.ratemyprofessors.com/professor/2865117", "type": "review" }, { "instructor_name": "Kaitlyn Phillipson", "review_date": "2024-01-29 20:10:21 +0000 UTC", "review_id": "a18644ea232d1e9067922968", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2865117", "source_review_id": "UmF0aW5nLTM4OTM0NDkw", "source_url": "https://www.ratemyprofessors.com/professor/2865117", "type": "review" }, { "instructor_name": "Kaitlyn Phillipson", "review_date": "2024-05-20 04:41:42 +0000 UTC", "review_id": "e3468ce453362aabd3ed4b72", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2865117", "source_review_id": "UmF0aW5nLTM5NDk1NDEw", "source_url": "https://www.ratemyprofessors.com/professor/2865117", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Honchang Ji and Nicholas Derr highlight clear instruction and engaging lectures. Ji uses online worksheets to aid note-taking, while Derr is praised for explaining concepts clearly and answering questions. Both instructors received positive feedback for making the material accessible. ```json { "citations": [ { "instructor_name": "Honchang Ji", "review_date": "2026-02-04 08:03:30 +0000 UTC", "review_id": "6e13d058d3c0a98434afdfb0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3127839", "source_review_id": "UmF0aW5nLTQyNTgxNTQ5", "source_url": "https://www.ratemyprofessors.com/professor/3127839", "type": "review" }, { "instructor_name": "Nicholas Derr", "review_date": "2026-08-21 18:59:47 +0000 UTC", "review_id": "9305b178579c19714ace35d9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3161381", "source_review_id": "UmF0aW5nLTQzMzgwNTE0", "source_url": "https://www.ratemyprofessors.com/professor/3161381", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Kaitlyn Phillipson receives universal praise for making linear algebra accessible through clear, engaging lectures and supportive teaching. Reviewers highlight her patience, humor, and structured materials as key strengths, though one notes the course material itself is difficult. ```json { "citations": [ { "instructor_name": "Kaitlyn Phillipson", "review_date": "2023-04-11 18:31:43 +0000 UTC", "review_id": "4521b3ce2b483f4b5655b15b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2865117", "source_review_id": "UmF0aW5nLTM3NjA5NDQ5", "source_url": "https://www.ratemyprofessors.com/professor/2865117", "type": "review" }, { "instructor_name": "Kaitlyn Phillipson", "review_date": "2023-05-17 02:32:31 +0000 UTC", "review_id": "b101a718ef147d1a4ef31b3f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2865117", "source_review_id": "UmF0aW5nLTM3OTQxNjQw", "source_url": "https://www.ratemyprofessors.com/professor/2865117", "type": "review" }, { "instructor_name": "Kaitlyn Phillipson", "review_date": "2023-09-27 15:06:52 +0000 UTC", "review_id": "10b1e018c915f655ef2bbb54", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2865117", "source_review_id": "UmF0aW5nLTM4MjM3Nzgw", "source_url": "https://www.ratemyprofessors.com/professor/2865117", "type": "review" }, { "instructor_name": "Kaitlyn Phillipson", "review_date": "2023-12-17 02:59:09 +0000 UTC", "review_id": "669205020921633bd0089a42", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2865117", "source_review_id": "UmF0aW5nLTM4NzEyODI2", "source_url": "https://www.ratemyprofessors.com/professor/2865117", "type": "review" }, { "instructor_name": "Kaitlyn Phillipson", "review_date": "2024-01-29 20:10:21 +0000 UTC", "review_id": "a18644ea232d1e9067922968", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2865117", "source_review_id": "UmF0aW5nLTM4OTM0NDkw", "source_url": "https://www.ratemyprofessors.com/professor/2865117", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 2.98 GPA, 40.7% A/AB (n=621 letter grades); Fall 2025: 2.92 GPA, 40.0% A/AB (n=608 letter grades); Spring 2026: 2.87 GPA, 40.1% A/AB (n=469 letter grades). ```json { "citations": [ { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Students value the availability of TAs for thorough explanations, recorded lectures, and online note templates that facilitate note-taking. One reviewer regrets not attending more office hours, indicating high engagement with the instructor's support. ```json { "citations": [ { "instructor_name": "Kaitlyn Phillipson", "review_date": "2023-04-11 18:31:43 +0000 UTC", "review_id": "4521b3ce2b483f4b5655b15b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2865117", "source_review_id": "UmF0aW5nLTM3NjA5NDQ5", "source_url": "https://www.ratemyprofessors.com/professor/2865117", "type": "review" }, { "instructor_name": "Kaitlyn Phillipson", "review_date": "2023-05-17 02:32:31 +0000 UTC", "review_id": "b101a718ef147d1a4ef31b3f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2865117", "source_review_id": "UmF0aW5nLTM3OTQxNjQw", "source_url": "https://www.ratemyprofessors.com/professor/2865117", "type": "review" }, { "instructor_name": "Kaitlyn Phillipson", "review_date": "2023-12-17 02:59:09 +0000 UTC", "review_id": "669205020921633bd0089a42", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2865117", "source_review_id": "UmF0aW5nLTM4NzEyODI2", "source_url": "https://www.ratemyprofessors.com/professor/2865117", "type": "review" }, { "instructor_name": "Kaitlyn Phillipson", "review_date": "2024-05-20 04:41:42 +0000 UTC", "review_id": "e3468ce453362aabd3ed4b72", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2865117", "source_review_id": "UmF0aW5nLTM5NDk1NDEw", "source_url": "https://www.ratemyprofessors.com/professor/2865117", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history DOHYUN KWON is recorded teaching in Fall 2021. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" } ] } ``` DONGHYUN LEE is recorded teaching in Spring 2017, Spring 2018. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1174", "type": "grade" }, { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1174", "type": "grade" }, { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" } ] } ``` FENG ZHU is recorded teaching in Fall 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 7, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" } ] } ``` FLORIAN BERTRAND is recorded teaching in Spring 2010, Fall 2010. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1104", "type": "grade" }, { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" } ] } ``` GARY HOWARD SCHROEDER is recorded teaching in Fall 2019. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" } ] } ``` HONGCHANG JI is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` KAITLYN PHILLIPSON is recorded teaching in Fall 2022, Spring 2023, Fall 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 6, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" } ] } ``` MUSTAFA KALAFAT is recorded teaching in Spring 2008, Spring 2010. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1084", "type": "grade" }, { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1084", "type": "grade" }, { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1104", "type": "grade" } ] } ``` NICHOLAS DERR is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` PAIGE HILLEN is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 6, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` SEAN ROSTAMI is recorded teaching in Fall 2013. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" } ] } ``` XIUXIONG CHEN is recorded teaching in Fall 2006. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 340", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "source_record": { "entity_id": "8ca4cb82-0242-32e6-8206-b1f99ae17e84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1072", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "MATH 222. Not open to students with credit forMATH 341,345, or375", "id": "n0", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 222, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 222", "id": "n1", "kind": "course" }, { "children": [ "n3" ], "condition": null, "course": null, "evidence": "Not open to students with credit forMATH 341,345, or375", "id": "n2", "kind": "not" }, { "children": [ "n4", "n5", "n6" ], "condition": null, "course": null, "evidence": "credit forMATH 341,345, or375", "id": "n3", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 341, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "unspecified" }, "evidence": "MATH 341", "id": "n4", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 345, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "unspecified" }, "evidence": "345", "id": "n5", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 375, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "unspecified" }, "evidence": "375", "id": "n6", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_90fe8b6c41e9a528d11219da", "source": "enrollment", "source_instructor_id": "bellek", "identity_basis": "netid", "identity_status": "source_identified", "name": "Celal Can Bellek", "email": "BELLEK@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/CELAL_CAN_BELLEK" }, { "instructor_uid": "instructor_a756a868088a1956ff5083d7", "source": "enrollment", "source_instructor_id": "jamessina", "identity_basis": "netid", "identity_status": "source_identified", "name": "Jack Messina", "email": "JAMESSINA@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/JACK_MESSINA" }, { "instructor_uid": "instructor_b72f557dc64939ca32f6a640", "source": "enrollment", "source_instructor_id": "kphillipson", "identity_basis": "netid", "identity_status": "source_identified", "name": "Kaitlyn Phillipson", "email": "KPHILLIPSON@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": 55, "quality": 4.38, "difficulty": 2.49, "quality_count": 55, "difficulty_count": 55, "profile_id": "rmp:2865117", "source_url": "https://www.ratemyprofessors.com/professor/2865117", "match_basis": "exact_name", "observed_at": "2026-09-07 16:27:44.691758+00:00", "courses": { "course_0002a781bc9543f3a2ac1a94": { "review_count": 17, "quality": 4.41, "difficulty": 2.24, "quality_count": 17, "difficulty_count": 17 }, "course_9b0dc1865ea603eb0083bc33": { "review_count": 25, "quality": 4.04, "difficulty": 2.6, "quality_count": 25, "difficulty_count": 25 }, "course_eec4aae06b946a73f1878be4": { "review_count": 13, "quality": 5, "difficulty": 2.62, "quality_count": 13, "difficulty_count": 13 } }, "bayesian_quality": 4.187916208945759, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/KAITLYN_PHILLIPSON" }, { "instructor_uid": "instructor_23c947670f6a25f75b38c763", "source": "enrollment", "source_instructor_id": "xhuang543", "identity_basis": "netid", "identity_status": "source_identified", "name": "Lattice Huang", "email": "XHUANG543@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/LATTICE_HUANG" }, { "instructor_uid": "instructor_f6a365d9ffb188b027bffbad", "source": "enrollment", "source_instructor_id": "hillen2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Paige Hillen", "email": "HILLEN2@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": 6, "quality": 5, "difficulty": 2.17, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:3142126", "source_url": "https://www.ratemyprofessors.com/professor/3142126", "match_basis": "exact_name", "observed_at": "2026-09-07 16:12:56.376780+00:00", "courses": { "course_7d3f055b392d74c588d35d0b": { "review_count": 3, "quality": 5, "difficulty": 2, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.9689890642666117, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/PAIGE_HILLEN" }, { "instructor_uid": "instructor_c3aeb456b559993b2fa79006", "source": "enrollment", "source_instructor_id": "haeussleralb", "identity_basis": "netid", "identity_status": "source_identified", "name": "Rio Haeussler Albi", "email": "HAEUSSLERALB@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/RIO_HAEUSSLER_ALBI" }, { "instructor_uid": "instructor_15bfe8c362842d3aab17c8f3", "source": "enrollment", "source_instructor_id": "yzang27", "identity_basis": "netid", "identity_status": "source_identified", "name": "Yourong Zang", "email": "YOURONG.ZANG@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/YOURONG_ZANG" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:600:011655", "course_id": "MATH 340", "course_uid": "course_eec4aae06b946a73f1878be4", "term_id": "1272", "source_course_id": "011655", "source_subject_id": "600", "title": "Elementary Matrix and Linear Algebra", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring, Summer" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:14736", "term_id": "1272", "source_section_id": "14736", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 190, "enrolled": 187, "waitlisted": 6, "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:1272:18671", "term_id": "1272", "source_section_id": "18671", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 92, "enrolled": 92, "waitlisted": 1, "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 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15:55:43.033547+00:00", "section_uid": "uw-section:1272:34317", "term_id": "1272", "source_section_id": "34317", "identity_basis": "class_number", "section_number": "304", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 32, "enrolled": 31, "waitlisted": 1, "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:1272:34318", "term_id": "1272", "source_section_id": "34318", "identity_basis": "class_number", "section_number": "324", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 29, "waitlisted": 1, "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:1272:34943", "term_id": "1272", "source_section_id": "34943", 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"end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_5d47fd39944a27ba3eef69cd", "source": "madgrades", "source_instructor_id": "3568500", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XIUXIONG CHEN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 9, "quality": 2.11, "difficulty": 2.22, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:791230", "source_url": "https://www.ratemyprofessors.com/professor/791230", "match_basis": "exact_name", "observed_at": "2026-09-07 15:58:25.641114+00:00", "courses": { "course_364c50303ed83d1234b4ea51": { "review_count": 1, "quality": 2, "difficulty": 1, "quality_count": 1, "difficulty_count": 1 }, "course_7d3f055b392d74c588d35d0b": { "review_count": 1, "quality": 2, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, 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"instructor_uid": "instructor_f6a365d9ffb188b027bffbad", "source": "enrollment", "source_instructor_id": "hillen2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Paige Hillen", "email": "HILLEN2@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": 6, "quality": 5, "difficulty": 2.17, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:3142126", "source_url": "https://www.ratemyprofessors.com/professor/3142126", "match_basis": "exact_name", "observed_at": "2026-09-07 16:12:56.376780+00:00", "courses": { "course_7d3f055b392d74c588d35d0b": { "review_count": 3, "quality": 5, "difficulty": 2, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.9689890642666117, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/PAIGE_HILLEN" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", 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153, "bc": 52, "c": 105, "d": 36, "f": 19, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 610, "source_aliases": [ "MATH 340" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 340", "course_uid": "course_eec4aae06b946a73f1878be4", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Ben Johnsrude", "Jose Rodriguez", "NICHOLAS DERR" ], "a": 131, "ab": 57, "b": 118, "bc": 40, "c": 59, "d": 52, "f": 12, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 16, "no_work": 0, "not_reported": 0, "other": 0, "total": 485, "source_aliases": [ "MATH 340" ] } ] ``` ### statistics #### gpa 2.942 #### graded 13098 #### counts * 3945 * 1516 * 3194 * 1197 * 2015 * 839 * 392 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_eec4aae06b946a73f1878be4-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_eec4aae06b946a73f1878be4-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_eec4aae06b946a73f1878be4-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_eec4aae06b946a73f1878be4-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_eec4aae06b946a73f1878be4-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_eec4aae06b946a73f1878be4-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_eec4aae06b946a73f1878be4-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_eec4aae06b946a73f1878be4-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_eec4aae06b946a73f1878be4-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_eec4aae06b946a73f1878be4-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 2.941632310276378 #### count 13098 #### 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": 6, "countPercentile": 96, "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 2.6923076923076925 ##### count 143 ##### university ###### size 723 ###### gpa Percentile 3 ###### count Percentile 79 ###### 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 | true | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 306 | false | | 3.6–4.0 | 180 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 21, "gpaPercentile": 35, "countPercentile": 55, "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": true }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1074 ##### term 1074 ##### gpa 2.7033898305084745 ##### count 118 ##### university ###### size 695 ###### gpa Percentile 4 ###### count Percentile 73 ###### 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 | true | | 2.8–3.2 | 184 | false | | 3.2–3.6 | 256 | false | | 3.6–4.0 | 199 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 17, "gpaPercentile": 44, "countPercentile": 44, "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": true }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1082 ##### term 1082 ##### gpa 3.060483870967742 ##### count 124 ##### university ###### size 723 ###### gpa Percentile 23 ###### count Percentile 73 ###### 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 | false | | 2.8–3.2 | 202 | true | | 3.2–3.6 | 265 | false | | 3.6–4.0 | 204 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 20, "gpaPercentile": 74, "countPercentile": 53, "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": false }, { "range": "2.8–3.2", "count": 7, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1084 ##### term 1084 ##### gpa 3.0246913580246915 ##### count 162 ##### university ###### size 720 ###### gpa Percentile 19 ###### count Percentile 83 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 207 | true | | 3.2–3.6 | 248 | false | | 3.6–4.0 | 217 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 22, "gpaPercentile": 67, "countPercentile": 67, "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": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1092 ##### term 1092 ##### gpa 2.9963235294117645 ##### count 136 ##### university ###### size 732 ###### gpa Percentile 15 ###### count Percentile 76 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 41 | false | | 2.8–3.2 | 208 | true | | 3.2–3.6 | 271 | false | | 3.6–4.0 | 211 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 22, "gpaPercentile": 62, "countPercentile": 57, "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": false }, { "range": "2.8–3.2", "count": 10, "current": true }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1094 ##### term 1094 ##### gpa 2.9698275862068964 ##### count 116 ##### university ###### size 758 ###### gpa Percentile 14 ###### count Percentile 73 ###### 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": 72, "countPercentile": 56, "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 2.7142857142857144 ##### count 154 ##### university ###### size 774 ###### gpa Percentile 4 ###### count Percentile 81 ###### 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": 19, "countPercentile": 73, "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 3.0984848484848486 ##### count 198 ##### university ###### size 793 ###### gpa Percentile 25 ###### count Percentile 88 ###### 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": 64, "countPercentile": 73, "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 3.160377358490566 ##### count 159 ##### university ###### size 805 ###### gpa Percentile 29 ###### count Percentile 83 ###### 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 | false | | 2.8–3.2 | 218 | true | | 3.2–3.6 | 316 | false | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 72, "countPercentile": 68, "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": false }, { "range": "2.8–3.2", "count": 12, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1114 ##### term 1114 ##### gpa 2.6683417085427137 ##### count 199 ##### university ###### size 804 ###### gpa Percentile 2 ###### count Percentile 89 ###### 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 | true | | 2.8–3.2 | 231 | false | | 3.2–3.6 | 292 | false | | 3.6–4.0 | 227 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 20, "countPercentile": 76, "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": true }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 2.7560240963855422 ##### count 166 ##### university ###### size 804 ###### gpa Percentile 5 ###### count Percentile 84 ###### 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": 35, "countPercentile": 69, "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 3 ##### count 147 ##### university ###### size 821 ###### gpa Percentile 17 ###### count Percentile 82 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 39 | false | | 2.8–3.2 | 223 | true | | 3.2–3.6 | 278 | false | | 3.6–4.0 | 280 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 28, "gpaPercentile": 67, "countPercentile": 67, "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": false }, { "range": "2.8–3.2", "count": 12, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 2.888888888888889 ##### count 144 ##### university ###### size 851 ###### gpa Percentile 7 ###### count Percentile 81 ###### 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": 46, "countPercentile": 58, "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 3.1040462427745665 ##### count 173 ##### university ###### size 852 ###### gpa Percentile 23 ###### count Percentile 87 ###### 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": 84, "countPercentile": 72, "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 2.2987012987012987 ##### count 154 ##### university ###### size 853 ###### gpa Percentile 0 ###### count Percentile 83 ###### 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 | true | | 2.4–2.8 | 33 | false | | 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": 0, "countPercentile": 67, "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": true }, { "range": "2.4–2.8", "count": 8, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 3.2331932773109244 ##### count 238 ##### university ###### size 878 ###### gpa Percentile 35 ###### count Percentile 92 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | true | | 3.6–4.0 | 299 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 30, "gpaPercentile": 93, "countPercentile": 79, "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": false }, { "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": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 2.533536585365854 ##### count 164 ##### university ###### size 918 ###### gpa Percentile 0 ###### count Percentile 85 ###### 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 | true | | 2.8–3.2 | 227 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 3, "countPercentile": 70, "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": true }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 2.690058479532164 ##### count 171 ##### university ###### size 935 ###### gpa Percentile 2 ###### count Percentile 87 ###### 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 | true | | 2.8–3.2 | 237 | false | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 33, "gpaPercentile": 19, "countPercentile": 75, "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": true }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 2.618811881188119 ##### count 202 ##### university ###### size 954 ###### gpa Percentile 1 ###### count Percentile 89 ###### 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 | true | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 350 | false | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 6, "countPercentile": 74, "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": true }, { "range": "2.8–3.2", "count": 20, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 2.8193916349809887 ##### count 263 ##### university ###### size 965 ###### gpa Percentile 5 ###### count Percentile 93 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | true | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 32, "gpaPercentile": 45, "countPercentile": 84, "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": false }, { "range": "2.8–3.2", "count": 12, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 2.8727598566308243 ##### count 279 ##### university ###### size 991 ###### gpa Percentile 4 ###### 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 | 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": 17, "countPercentile": 77, "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 2.859327217125382 ##### count 327 ##### university ###### size 955 ###### gpa Percentile 5 ###### count Percentile 95 ###### 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": 39, "countPercentile": 84, "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 2.8422619047619047 ##### count 336 ##### university ###### size 1025 ###### gpa Percentile 3 ###### count Percentile 94 ###### 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": 14, "countPercentile": 80, "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 2.7787958115183247 ##### count 382 ##### university ###### size 1010 ###### gpa Percentile 2 ###### 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 | 26 | true | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 20, "countPercentile": 86, "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": true }, { "range": "2.8–3.2", "count": 18, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 2.947429906542056 ##### count 428 ##### university ###### size 1077 ###### gpa Percentile 6 ###### 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": 26, "countPercentile": 82, "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 2.811512415349887 ##### count 443 ##### university ###### size 1040 ###### gpa Percentile 2 ###### 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 | 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": 19, "countPercentile": 89, "medianCount": 71.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 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 2.9029017857142856 ##### count 448 ##### university ###### size 1102 ###### gpa Percentile 3 ###### 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": 21, "countPercentile": 85, "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 3.6595092024539877 ##### count 326 ##### university ###### size 1012 ###### gpa Percentile 40 ###### count Percentile 95 ###### 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 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 29, "gpaPercentile": 86, "countPercentile": 79, "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": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 2.8575819672131146 ##### count 488 ##### university ###### size 1111 ###### gpa Percentile 1 ###### count Percentile 97 ###### 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": 5, "countPercentile": 90, "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 3.0384615384615383 ##### count 546 ##### university ###### size 1157 ###### gpa Percentile 7 ###### count Percentile 98 ###### 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": 32, "countPercentile": 87, "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 3.030474040632054 ##### count 443 ##### university ###### size 1171 ###### gpa Percentile 8 ###### count Percentile 96 ###### 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": 30, "countPercentile": 82, "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 2.983026874115983 ##### count 707 ##### university ###### size 1216 ###### gpa Percentile 5 ###### count Percentile 98 ###### 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 | true | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 21, "countPercentile": 90, "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": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 2.9623893805309733 ##### count 678 ##### university ###### size 1188 ###### gpa Percentile 4 ###### 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": 30, "countPercentile": 95, "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 3.046153846153846 ##### count 780 ##### university ###### size 1295 ###### gpa Percentile 6 ###### count Percentile 99 ###### 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": 21, "countPercentile": 90, "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 2.9552556818181817 ##### count 704 ##### university ###### size 1241 ###### gpa Percentile 3 ###### count Percentile 99 ###### 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": 19, "countPercentile": 98, "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 3.0789124668435015 ##### count 754 ##### university ###### size 1333 ###### gpa Percentile 6 ###### count Percentile 99 ###### 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": 36, "countPercentile": 90, "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 2.9766505636070852 ##### count 621 ##### university ###### size 1289 ###### gpa Percentile 4 ###### count Percentile 98 ###### 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": 24, "countPercentile": 89, "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 2.9226973684210527 ##### count 608 ##### university ###### size 1320 ###### gpa Percentile 2 ###### 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": 14, "countPercentile": 86, "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 2.873134328358209 ##### count 469 ##### university ###### size 1283 ###### gpa Percentile 2 ###### count Percentile 96 ###### 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": 22, "countPercentile": 90, "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 ###### 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following | code | title | | ----------------------------- | ----------------------------------------------------------------------- | | ASTRON 590 | ASTRODYNAMICS | | BIOCHEM/BMI/BMOLCHEM/MATH 609 | MATHEMATICAL METHODS FOR SYSTEMS BIOLOGY | | BMI/COMPSCI 567 | BIOMEDICAL IMAGE ANALYSIS | | 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/ME 441 | KINEMATICS, DYNAMICS, AND CONTROL OF ROBOTIC MANIPULATORS | | EMA/EP 548 | ENGINEERING ANALYSIS II | | ISYE 320 | SIMULATION AND PROBABILISTIC MODELING | | ISYE 323 | OPERATIONS RESEARCH-DETERMINISTIC 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/PHILOS 571 | MATHEMATICAL LOGIC | | ME 331 | COMPUTER-AIDED ENGINEERING | | ME 536 | MACHINE LEARNING FOR DATA-DRIVEN ENGINEERING DESIGN | | 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 2.75 #### upper 3.27 #### coverage 80 #### terms 8 ### gpa 3.006672242127423 ### grades | grade | percentage | | ----- | ------------------ | | A | 32.04115504848771 | | AB | 11.579228272947807 | | B | 25.418226743912463 | | BC | 8.08164163667694 | | C | 14.937126207356002 | | D | 5.642268325332355 | | F | 2.300353765286716 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 3395 ### same Season true ### historical Range * 2.922697368421052 * 3.0789124668435015 ### backtest #### terms 8 #### gpa Error 0.10519342656641162 #### mix Error 7.063117436582576