# MATH 341: Linear Algebra | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MATH_341) ## 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 d134cac00f8ebd097f07d6801e7ace7e84f4ee245e1c842f5e2da60a4a45befa ### course id MATH 341 ### course uid course\_fa53f4954bab469b5d4c4fe3 ### catalog version id 56a37ae2b3a4bd78593ae07c6ccbddd4427544a9cacb7023052fea75b09cd002 ### course number 341 ### subjects * MATH ### title LINEAR ALGEBRA ### description The theory of linear algebra with an introduction to proofs and proof writing. Topics include vector spaces, linear dependence, span, basis, linear transformations, kernel, image, inner products and inner product spaces, geometry, eigenvalues, eigenvectors, standard matrix factorizations. Other content includes basic set theory, logical operations, quantifiers, direct and indirect arguments, and induction. Differential equations \[MATH 320] not covered. ### requirements text MATH 234. Not open to students with credit forMATH 375. ### credits min 3 ### credits max 3 ### credit offering ids * 1272:600:021987 ### llm job id enrich-f206ae62364759902a73b59d ### llm output id 352a20940ec24babd1a901fac49b3fc2dde6f694bc1ae2f0f34cf20a88b12141 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MATH 341 introduces the theory of linear algebra with a focus on proofs, covering vector spaces, transformations, and eigenvalues. ### llm topics * Vector spaces, dependence, span, and basis * Linear transformations, kernel, and image * Inner products and geometry * Eigenvalues, eigenvectors, and factorizations * Set theory, logic, and induction ### llm skills * Proof writing and logical argumentation * Theoretical linear algebra ### llm assumed background * Calculus of functions of several variables and vector calculus ### llm search phrases * linear algebra theory proofs * vector spaces basis eigenvalues * MATH 341 linear algebra Wisconsin ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash a1d495af6a730fcdb5ff1c0e1a89515aa073efc3549775436794664ec2524def #### course id MATH 341 #### current instructors ```json [ { "instructor_uid": "instructor_14f5202904355297fd0f984a", "message": "No course-specific reviews available", "name": "Laurentiu Maxim", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:1408142", "summary": [ { "citations": [ { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.07 GPA, 47.6% A/AB (n=21 letter grades)." } ] }, { "instructor_uid": "instructor_eb33bf09a4c3845c620ccb0e", "message": "No course-specific reviews available", "name": "Pedro Abdalla Teixeira", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload Historical reviews of Howard Becker, Jack Burkart: Homework is described as moderate or hard and time-consuming. Exams are moderate to difficult, requiring students to apply class concepts to construct their own proofs. ```json { "citations": [ { "instructor_name": "Howard Becker", "review_date": "2015-05-15 19:46:08 +0000 UTC", "review_id": "ea77079477e35ee059b9567a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1912162", "source_review_id": "UmF0aW5nLTI0ODQyNzE4", "source_url": "https://www.ratemyprofessors.com/professor/1912162", "type": "review" }, { "instructor_name": "Jack Burkart", "review_date": "2022-01-28 20:30:53 +0000 UTC", "review_id": "c780406b0f7269fb9ed3da19", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2730731", "source_review_id": "UmF0aW5nLTM1ODA4NjIz", "source_url": "https://www.ratemyprofessors.com/professor/2730731", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Florian Bertrand and Justin Sukiennik praise clear lectures and helpful office hours. Conversely, other instructors received criticism for disorganized classes and inaccessible attitudes. One student found the course extremely rigorous but rewarding. ```json { "citations": [ { "instructor_name": "Florian Bertrand", "review_date": "2010-04-07 19:52:20 +0000 UTC", "review_id": "4ebe625dba17db8fca4b7726", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1277603", "source_review_id": "UmF0aW5nLTE2OTYxOTc2", "source_url": "https://www.ratemyprofessors.com/professor/1277603", "type": "review" }, { "instructor_name": "Justin Sukiennik", "review_date": "2020-08-20 07:27:42 +0000 UTC", "review_id": "bcc31b51176bc74d101e142c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2521051", "source_review_id": "UmF0aW5nLTMzNjAwMjI2", "source_url": "https://www.ratemyprofessors.com/professor/2521051", "type": "review" }, { "instructor_name": "Steffen Lempp", "review_date": "2006-05-28 22:56:42 +0000 UTC", "review_id": "c00543ef6b6310bc52357272", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:133058", "source_review_id": "UmF0aW5nLTExNjcyODgz", "source_url": "https://www.ratemyprofessors.com/professor/133058", "type": "review" }, { "instructor_name": "Andrei Caldararu", "review_date": "2024-01-23 01:58:35 +0000 UTC", "review_id": "96814b7f7f0a963d35942a4b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:802342", "source_review_id": "UmF0aW5nLTM4OTEzNjMy", "source_url": "https://www.ratemyprofessors.com/professor/802342", "type": "review" }, { "instructor_name": "Paul Apisa", "review_date": "2026-01-28 12:34:32 +0000 UTC", "review_id": "0f9c336e0dbbab84ebaf3a8b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2846901", "source_review_id": "UmF0aW5nLTQyNTU4NDky", "source_url": "https://www.ratemyprofessors.com/professor/2846901", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews of Paul Apisa, Yang Yang: Reviewers describe the course as highly rigorous, with one calling it the hardest they have ever done. Others note that clear, intuitive instruction makes the material manageable. ```json { "citations": [ { "instructor_name": "Paul Apisa", "review_date": "2026-01-28 12:34:32 +0000 UTC", "review_id": "0f9c336e0dbbab84ebaf3a8b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2846901", "source_review_id": "UmF0aW5nLTQyNTU4NDky", "source_url": "https://www.ratemyprofessors.com/professor/2846901", "type": "review" }, { "instructor_name": "Yang Yang", "review_date": "2026-06-23 14:53:09 +0000 UTC", "review_id": "dee6e974c21118ffc6b3e0b0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3131256", "source_review_id": "UmF0aW5nLTQzMjY3MTky", "source_url": "https://www.ratemyprofessors.com/professor/3131256", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.18 GPA, 54.2% A/AB (n=96 letter grades); Fall 2025: 3.15 GPA, 51.6% A/AB (n=64 letter grades); Spring 2026: 3.09 GPA, 54.4% A/AB (n=90 letter grades). ```json { "citations": [ { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Florian Bertrand, Jack Burkart, Yang Yang: Students value professors who are helpful, available during office hours, and provide intuitive explanations. Conversely, others found lectures unclear or inaccessible, with one noting they felt like reciting from a textbook. ```json { "citations": [ { "instructor_name": "Florian Bertrand", "review_date": "2010-04-07 19:52:20 +0000 UTC", "review_id": "4ebe625dba17db8fca4b7726", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1277603", "source_review_id": "UmF0aW5nLTE2OTYxOTc2", "source_url": "https://www.ratemyprofessors.com/professor/1277603", "type": "review" }, { "instructor_name": "Jack Burkart", "review_date": "2022-01-28 20:30:53 +0000 UTC", "review_id": "c780406b0f7269fb9ed3da19", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2730731", "source_review_id": "UmF0aW5nLTM1ODA4NjIz", "source_url": "https://www.ratemyprofessors.com/professor/2730731", "type": "review" }, { "instructor_name": "Yang Yang", "review_date": "2026-06-23 14:53:09 +0000 UTC", "review_id": "dee6e974c21118ffc6b3e0b0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3131256", "source_review_id": "UmF0aW5nLTQzMjY3MTky", "source_url": "https://www.ratemyprofessors.com/professor/3131256", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ALEXANDER HANHART is recorded teaching in Spring 2016. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" } ] } ``` ANDREI CALDARARU is recorded teaching in Fall 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" } ] } ``` ANTOINE REMOND-TIEDREZ is recorded teaching in Fall 2021, Spring 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" } ] } ``` FLORIAN BERTRAND is recorded teaching in Fall 2009. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1102", "type": "grade" } ] } ``` HOWARD BECKER is recorded teaching in Fall 2014. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" } ] } ``` JACK BURKART is recorded teaching in Fall 2021. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" } ] } ``` JUSTIN SUKIENNIK is recorded teaching in Spring 2020. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" } ] } ``` LAURENTIU MAXIM is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` PAUL APISA is recorded teaching in Fall 2022, Spring 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" } ] } ``` SHAOSAI HUANG is recorded teaching in Fall 2018, Spring 2019. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" } ] } ``` STEFFEN LEMPP is recorded teaching in Spring 2014, Fall 2019. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" } ] } ``` YANG YANG is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 341", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "source_record": { "entity_id": "8e579094-c980-30e2-9972-1e8151db1ab5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "MATH 234. Not open to students with credit forMATH 375.", "id": "n0", "kind": "all" }, { "children": [ "n3" ], "condition": null, "course": null, "evidence": "Not open to students with credit forMATH 375.", "id": "n1", "kind": "not" }, { "children": [], "condition": null, "course": { "course_number": 375, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 375", "id": "n3", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 234, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 234", "id": "n2", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_14f5202904355297fd0f984a", "source": "enrollment", "source_instructor_id": "lmaxim", "identity_basis": "netid", "identity_status": "source_identified", "name": "Laurentiu Maxim", "email": "LMAXIM@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": 89, "quality": 2.88, "difficulty": 3.56, "quality_count": 89, "difficulty_count": 89, "profile_id": "rmp:1408142", "source_url": "https://www.ratemyprofessors.com/professor/1408142", "match_basis": "exact_name", "observed_at": "2026-09-07 16:23:54.846088+00:00", "courses": { "course_364c50303ed83d1234b4ea51": { "review_count": 2, "quality": 2.5, "difficulty": 5, "quality_count": 2, "difficulty_count": 2 }, "course_7d3f055b392d74c588d35d0b": { "review_count": 5, "quality": 2.4, "difficulty": 4, "quality_count": 5, "difficulty_count": 5 }, "course_eec4aae06b946a73f1878be4": { "review_count": 25, "quality": 1.36, "difficulty": 3.92, "quality_count": 25, "difficulty_count": 25 }, "course_cc1de60e9953cdd9c469e9a5": { "review_count": 26, "quality": 3.65, "difficulty": 3, "quality_count": 26, "difficulty_count": 26 }, "course_0002a781bc9543f3a2ac1a94": { "review_count": 2, "quality": 2.5, "difficulty": 4, "quality_count": 2, "difficulty_count": 2 }, "course_4aa5bbed0c86993f5f0dc832": { "review_count": 2, "quality": 4.5, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 }, "course_9b0dc1865ea603eb0083bc33": { "review_count": 6, "quality": 3.17, "difficulty": 3.67, "quality_count": 6, "difficulty_count": 6 }, "course_5d98ff5f6adce2207e394dc6": { "review_count": 4, "quality": 4.75, "difficulty": 4.25, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 3.0230616116599256, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/LAURENTIU_MAXIM" }, { "instructor_uid": "instructor_eb33bf09a4c3845c620ccb0e", "source": "enrollment", "source_instructor_id": "abdallateixe", "identity_basis": "netid", "identity_status": "source_identified", "name": "Pedro Abdalla Teixeira", "email": "PABDALLA@MATH.WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/PEDRO_ABDALLA_TEIXEIRA" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:600:021987", "course_id": "MATH 341", "course_uid": "course_fa53f4954bab469b5d4c4fe3", "term_id": "1272", "source_course_id": "021987", "source_subject_id": "600", "title": "Linear Algebra", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:22740", "term_id": "1272", "source_section_id": "22740", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 40, "enrolled": 39, "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:1272:28746", "term_id": "1272", "source_section_id": "28746", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 40, "enrolled": 37, "waitlisted": 2, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_0fef3fc89c8f21aca8042aa0", "source": "madgrades", "source_instructor_id": "3104475", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BART KASTERMANS", "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": 20, "quality": 4.3, "difficulty": 3.3, "quality_count": 20, "difficulty_count": 20, "profile_id": "rmp:554318", "source_url": "https://www.ratemyprofessors.com/professor/554318", "match_basis": "exact_name", "observed_at": "2026-09-07 16:52:20.706493+00:00", "courses": { "course_6bc496e4640fd08f71e1b041": { "review_count": 10, "quality": 4, "difficulty": 2.9, "quality_count": 10, "difficulty_count": 10 }, "course_fa53f4954bab469b5d4c4fe3": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.9798428917732975, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.756, "graded": 354, "counts": [ 71, 60, 65, 65, 49, 26, 18 ], "sections": 10 }, "instructor_url": "/instructors/BART_KASTERMANS" }, { "instructor_uid": "instructor_58a8789a68e88a9fb71bb464", "source": "madgrades", "source_instructor_id": "3347208", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALEXANDRU IONESCU", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 7, "quality": 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{ "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 341", "course_uid": "course_fa53f4954bab469b5d4c4fe3", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Alexei Poltoratski", "FENG ZHU", "SARAH STRIKWERDA" ], "a": 36, "ab": 16, "b": 21, "bc": 9, "c": 8, "d": 4, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 96, "source_aliases": [ "MATH 341" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 341", "course_uid": "course_fa53f4954bab469b5d4c4fe3", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Amy Cochran", "Laurentiu Maxim", "Mihaela Ifrim" ], "a": 20, "ab": 13, "b": 19, "bc": 4, "c": 4, "d": 1, "f": 3, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 65, "source_aliases": [ "MATH 341" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 341", "course_uid": "course_fa53f4954bab469b5d4c4fe3", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "CASSANDRA WILLIAMS", "Lars Niedorf", "Yang Yang" ], "a": 37, "ab": 12, "b": 16, "bc": 8, "c": 9, "d": 2, "f": 6, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 90, "source_aliases": [ "MATH 341" ] } ] ``` ### statistics #### gpa 3.175 #### graded 2127 #### counts * 794 * 388 * 432 * 192 * 188 * 68 * 65 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_fa53f4954bab469b5d4c4fe3-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_fa53f4954bab469b5d4c4fe3-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_fa53f4954bab469b5d4c4fe3-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_fa53f4954bab469b5d4c4fe3-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_fa53f4954bab469b5d4c4fe3-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_fa53f4954bab469b5d4c4fe3-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_fa53f4954bab469b5d4c4fe3-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_fa53f4954bab469b5d4c4fe3-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_fa53f4954bab469b5d4c4fe3-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_fa53f4954bab469b5d4c4fe3-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.1753643629525152 #### count 2127 #### university ##### size 5784 ##### gpa Percentile 6 ##### count Percentile 92 ##### 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": 26, "countPercentile": 82, "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 2.638888888888889 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1074 ##### term 1074 ##### gpa 3.0555555555555554 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1082 ##### term 1082 ##### gpa 2.8333333333333335 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1084 ##### term 1084 ##### gpa 3.35 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1092 ##### term 1092 ##### gpa 3.2241379310344827 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1094 ##### term 1094 ##### gpa 2.7954545454545454 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1102 ##### term 1102 ##### gpa 3.2375 ##### count 40 ##### university ###### size 774 ###### gpa Percentile 38 ###### count Percentile 19 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | false | | 3.2–3.6 | 287 | true | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 27, "gpaPercentile": 88, "countPercentile": 23, "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": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 3.45 ##### count 30 ##### university ###### size 793 ###### gpa Percentile 56 ###### count Percentile 0 ###### 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 | false | | 3.2–3.6 | 294 | true | | 3.6–4.0 | 241 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 23, "gpaPercentile": 95, "countPercentile": 0, "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": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 2.933333333333333 ##### count 30 ##### university ###### size 805 ###### gpa Percentile 12 ###### count Percentile 0 ###### 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": 44, "countPercentile": 0, "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 3.121212121212121 ##### count 33 ##### university ###### size 804 ###### gpa Percentile 28 ###### count Percentile 8 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 231 | true | | 3.2–3.6 | 292 | false | | 3.6–4.0 | 227 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 84, "countPercentile": 4, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 8, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 2.4833333333333334 ##### count 30 ##### university ###### size 804 ###### gpa Percentile 0 ###### count Percentile 0 ###### 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": 4, "countPercentile": 0, "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 3.1315789473684212 ##### count 38 ##### university ###### size 821 ###### gpa Percentile 27 ###### count Percentile 19 ###### 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": 81, "countPercentile": 15, "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 3.5675675675675675 ##### count 37 ##### university ###### size 851 ###### gpa Percentile 65 ###### count Percentile 14 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 40 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 303 | true | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 25, "gpaPercentile": 100, "countPercentile": 4, "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": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 3.2432432432432434 ##### count 37 ##### university ###### size 852 ###### gpa Percentile 34 ###### count Percentile 15 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 304 | true | | 3.6–4.0 | 287 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 92, "countPercentile": 8, "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": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.3636363636363638 ##### count 44 ##### university ###### size 853 ###### gpa Percentile 48 ###### count Percentile 27 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | false | | 3.2–3.6 | 320 | true | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 31, "gpaPercentile": 83, "countPercentile": 30, "medianCount": 77, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 8, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 2.2714285714285714 ##### count 35 ##### university ###### size 878 ###### gpa Percentile 0 ###### count Percentile 10 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | true | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 30, "gpaPercentile": 0, "countPercentile": 14, "medianCount": 79, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": true }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 19, "current": false }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.1588235294117646 ##### count 85 ##### university ###### size 918 ###### gpa Percentile 25 ###### count Percentile 61 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 61, "countPercentile": 52, "medianCount": 82, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 3.032608695652174 ##### count 46 ##### university ###### size 935 ###### gpa Percentile 16 ###### count Percentile 30 ###### median Count 63 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 38 | false | | 2.8–3.2 | 237 | true | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 33, "gpaPercentile": 59, "countPercentile": 25, "medianCount": 69, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 10, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.0714285714285716 ##### count 49 ##### university ###### size 954 ###### gpa Percentile 17 ###### count Percentile 35 ###### median Count 64.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | true | | 3.2–3.6 | 350 | false | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 54, "countPercentile": 29, "medianCount": 74.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 20, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.1951219512195124 ##### count 82 ##### university ###### size 965 ###### gpa Percentile 26 ###### count Percentile 61 ###### 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": 74, "countPercentile": 45, "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 2.8870967741935485 ##### count 62 ##### university ###### size 991 ###### gpa Percentile 5 ###### count Percentile 45 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 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": 26, "countPercentile": 40, "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 2.925 ##### count 60 ##### university ###### size 955 ###### gpa Percentile 7 ###### count Percentile 42 ###### 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": 58, "countPercentile": 32, "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 3.141304347826087 ##### count 46 ##### university ###### size 1025 ###### gpa Percentile 20 ###### count Percentile 28 ###### 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": 69, "countPercentile": 23, "medianCount": 80, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 21, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.25 ##### count 100 ##### university ###### size 1010 ###### gpa Percentile 26 ###### count Percentile 69 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 77, "countPercentile": 57, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 7, "current": false }, { "range": "2.8–3.2", "count": 18, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.0902777777777777 ##### count 72 ##### university ###### size 1077 ###### gpa Percentile 14 ###### count Percentile 53 ###### 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": 68, "countPercentile": 37, "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 2.8661971830985915 ##### count 71 ##### university ###### size 1040 ###### gpa Percentile 3 ###### count Percentile 53 ###### 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": 22, "countPercentile": 49, "medianCount": 71.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 18, "current": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.1065573770491803 ##### count 61 ##### university ###### size 1102 ###### gpa Percentile 15 ###### count Percentile 45 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 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": 59, "countPercentile": 33, "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 3.53125 ##### count 64 ##### university ###### size 1012 ###### gpa Percentile 23 ###### count Percentile 49 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | true | | 3.6–4.0 | 685 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 29, "gpaPercentile": 71, "countPercentile": 39, "medianCount": 83, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 20, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.5705128205128207 ##### count 78 ##### university ###### size 1111 ###### gpa Percentile 42 ###### count Percentile 55 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | true | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 41, "gpaPercentile": 75, "countPercentile": 43, "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": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.1984126984126986 ##### count 63 ##### university ###### size 1157 ###### gpa Percentile 17 ###### count Percentile 49 ###### 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": 47, "countPercentile": 47, "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 3.377450980392157 ##### count 102 ##### university ###### size 1171 ###### gpa Percentile 28 ###### count Percentile 71 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | true | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 76, "countPercentile": 55, "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": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.1231884057971016 ##### count 69 ##### university ###### size 1216 ###### gpa Percentile 11 ###### count Percentile 52 ###### 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": 40, "countPercentile": 50, "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 3.4225352112676055 ##### count 71 ##### university ###### size 1188 ###### gpa Percentile 30 ###### count Percentile 53 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | true | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 41, "gpaPercentile": 75, "countPercentile": 55, "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": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.1147540983606556 ##### count 61 ##### university ###### size 1295 ###### gpa Percentile 9 ###### count Percentile 46 ###### 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": 31, "countPercentile": 43, "medianCount": 80, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 17, "current": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.5063291139240507 ##### count 79 ##### university ###### size 1241 ###### gpa Percentile 34 ###### count Percentile 58 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | true | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 79, "countPercentile": 57, "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": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.3783783783783785 ##### count 74 ##### university ###### size 1333 ###### gpa Percentile 20 ###### count Percentile 53 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 74, "countPercentile": 50, "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": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.1822916666666665 ##### count 96 ##### university ###### size 1289 ###### gpa Percentile 11 ###### count Percentile 69 ###### 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": 53, "countPercentile": 58, "medianCount": 89, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 16, "current": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.1484375 ##### count 64 ##### university ###### size 1320 ###### gpa Percentile 8 ###### count Percentile 45 ###### 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": 40, "countPercentile": 38, "medianCount": 81, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 18, "current": true }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.088888888888889 ##### count 90 ##### university ###### size 1283 ###### gpa Percentile 8 ###### count Percentile 64 ###### 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": 46, "countPercentile": 56, "medianCount": 80, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 7, "current": false }, { "range": "2.8–3.2", "count": 17, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5784 ###### gpa 3.6736255573368366 ###### top Share 82.68719706118685 ###### count 240.5 ##### MATH ###### size 136 ###### gpa 3.5494544646749766 ###### top Share 75.15568951719919 ###### count 272.5 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### MATH ###### size 21 ###### gpa 2.878188611674867 ###### top Share 40.4748751710427 ###### count 115 ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ###### MATH ###### size 17 ###### gpa 2.821339129045922 ###### top Share 38.66654769268061 ###### count 133 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### MATH ###### size 20 ###### gpa 2.8603540012311925 ###### top Share 39.28661748894661 ###### count 122 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### MATH ###### size 22 ###### gpa 2.977459424628873 ###### top Share 44.52710820759676 ###### count 88.5 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### MATH ###### size 22 ###### gpa 2.8820162698417926 ###### top Share 39.71597770466243 ###### count 131 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### MATH ###### size 19 ###### gpa 2.861322177541941 ###### top Share 40.26350030907326 ###### count 108 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### MATH ###### size 27 ###### gpa 2.936619140855453 ###### top Share 42.28372460948232 ###### count 76 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### MATH ###### size 23 ###### gpa 2.9531575824731964 ###### top Share 43.549837152646596 ###### count 98 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### MATH ###### size 26 ###### gpa 2.9941347625171355 ###### top Share 43.79682105650899 ###### count 87 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### MATH ###### size 26 ###### gpa 2.9090822348911582 ###### top Share 41.14706210117883 ###### count 83.5 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### MATH ###### size 27 ###### gpa 2.898067749128924 ###### top Share 42.09489165698714 ###### count 103 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### MATH ###### size 28 ###### gpa 2.9109864595893504 ###### top Share 42.40580272314707 ###### count 75 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### MATH ###### size 25 ###### gpa 2.9605395515107897 ###### top Share 42.794601137643824 ###### count 108 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### MATH ###### size 26 ###### gpa 2.938004331770204 ###### top Share 42.318323348030226 ###### count 83.5 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### MATH ###### size 31 ###### gpa 3.009040780059457 ###### top Share 45.87481076818359 ###### count 77 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### MATH ###### size 30 ###### gpa 2.926152797086596 ###### top Share 42.17363619414386 ###### count 79 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### MATH ###### size 34 ###### gpa 3.0803080141506425 ###### top Share 49.72677618758506 ###### count 82 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### MATH ###### size 33 ###### gpa 2.9834698949629033 ###### top Share 46.71989715257013 ###### count 69 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### MATH ###### size 36 ###### gpa 3.1059509777204544 ###### top Share 50.071044743474 ###### count 74.5 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### MATH ###### size 32 ###### gpa 2.995223360849456 ###### top Share 46.38098813836469 ###### count 83 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### MATH ###### size 36 ###### gpa 3.098601909983034 ###### top Share 48.67573746500224 ###### count 66 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### MATH ###### size 32 ###### gpa 2.992971960864239 ###### top Share 44.393513280464695 ###### count 89 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### MATH ###### size 36 ###### gpa 3.0839531022443034 ###### top Share 48.116975859522796 ###### count 80 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### MATH ###### size 36 ###### gpa 3.0650838986714333 ###### top Share 47.42689290604571 ###### count 83.5 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### MATH ###### size 39 ###### gpa 3.1003216533236415 ###### top Share 50.01588968281552 ###### count 99 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### MATH ###### size 38 ###### gpa 3.133406260873163 ###### top Share 53.17595010634325 ###### count 71.5 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### MATH ###### size 40 ###### gpa 3.1467748801316944 ###### top Share 52.57847974231038 ###### count 90.5 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### MATH ###### size 29 ###### gpa 3.478717830475146 ###### top Share 69.61236805388549 ###### count 83 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### MATH ###### size 41 ###### gpa 3.3211331103538813 ###### top Share 59.85093623917685 ###### count 87 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### MATH ###### size 39 ###### gpa 3.2083447119296955 ###### top Share 56.75007696473496 ###### count 63 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### MATH ###### size 34 ###### gpa 3.1555898753466907 ###### top Share 53.444319815085976 ###### count 87.5 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### MATH ###### size 43 ###### gpa 3.2486774162409366 ###### top Share 56.56203211471963 ###### count 69 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### MATH ###### size 41 ###### gpa 3.178489266862151 ###### top Share 56.06874885619616 ###### count 67 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### MATH ###### size 43 ###### gpa 3.2449031633350183 ###### top Share 58.03783489438137 ###### count 80 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### MATH ###### size 43 ###### gpa 3.228240949537157 ###### top Share 55.86451059486035 ###### count 68 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### MATH ###### size 43 ###### gpa 3.185692541204979 ###### top Share 54.14175342403773 ###### count 74 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### MATH ###### size 39 ###### gpa 3.180435541912479 ###### top Share 53.878371816747475 ###### count 89 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### MATH ###### size 43 ###### gpa 3.2481769276584003 ###### top Share 56.325967864851854 ###### count 81 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### MATH ###### size 42 ###### gpa 3.13598176627681 ###### top Share 52.25969905887213 ###### count 80 ## instructor Trends ```json [ { "uid": "instructor_f2e0ee4a695f3aaefcad5d03", "name": "SHAMGAR GUREVICH", "count": 258, "terms": [ { "term": "1132", "count": 37, "sections": 1, "gpa": 3.5675675675675675 }, { "term": "1142", "count": 44, "sections": 1, "gpa": 3.3636363636363638 }, { "term": "1152", "count": 46, "sections": 1, "gpa": 3.097826086956522 }, { "term": "1202", "count": 35, "sections": 1, "gpa": 3.5 }, { "term": "1212", "count": 22, "sections": 1, "gpa": 3.4318181818181817 }, { "term": "1234", "count": 11, "sections": 1, "gpa": 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"sections": 1, "gpa": 3.0714285714285716 } ] }, { "uid": "instructor_daf42e303d76f51f026da782", "name": "MIHAELA IFRIM", "count": 21, "terms": [ { "term": "1262", "count": 21, "sections": 1, "gpa": 3.0238095238095237 } ] }, { "uid": "instructor_ede8aed2cc73dd8c67230acc", "name": "MITCH KELLER", "count": 20, "terms": [ { "term": "1232", "count": 20, "sections": 1, "gpa": 3.1 } ] }, { "uid": "instructor_e7ab245ec457d24e97836493", "name": "LEONARDO ZEPEDA-NUNEZ", "count": 19, "terms": [ { "term": "1204", "count": 19, "sections": 1, "gpa": 3.710526315789474 } ] }, { "uid": "instructor_b5a4c8f9f16457b009638d82", "name": "OMER MERMELSTEIN", "count": 18, "terms": [ { "term": "1194", "count": 18, "sections": 1, "gpa": 2.75 } ] }, { "uid": "instructor_247d961acdc61511ccc819c5", "name": "NIGEL BOSTON", "count": 12, "terms": [ { "term": "1082", "count": 12, "sections": 1, "gpa": 2.8333333333333335 } ] } ] ``` ## following | code | title | | ----------------------------- | ----------------------------------------------------------------------- | | ASTRON 590 | ASTRODYNAMICS | | BIOCHEM/BMI/BMOLCHEM/MATH 609 | MATHEMATICAL METHODS FOR SYSTEMS BIOLOGY | | BMI/COMPSCI 567 | BIOMEDICAL IMAGE ANALYSIS | | 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 561 | PROBABILITY AND INFORMATION THEORY IN MACHINE LEARNING | | 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 | | CURRIC/MATH 471 | MATHEMATICS FOR SECONDARY SCHOOL TEACHERS | | ECE/ME 441 | KINEMATICS, DYNAMICS, AND CONTROL OF ROBOTIC MANIPULATORS | | HISTSCI/MATH 473 | HISTORY OF MATHEMATICS | | 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 519 | ORDINARY DIFFERENTIAL EQUATIONS | | MATH 521 | ANALYSIS I | | MATH 522 | ANALYSIS II | | MATH 535 | MATHEMATICAL METHODS IN DATA SCIENCE | | MATH 540 | LINEAR ALGEBRA II | | MATH 541 | MODERN ALGEBRA 1 | | MATH 551 | POINT-SET TOPOLOGY | | MATH 561 | DIFFERENTIAL GEOMETRY | | MATH 570 | FUNDAMENTALS OF SET THEORY | | 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 2.7 #### upper 3.7 #### coverage 80 #### terms 8 ### gpa 3.198990103132877 ### grades | grade | percentage | | ----- | ------------------ | | A | 38.96577684895445 | | AB | 14.63890165804048 | | B | 23.933300169974427 | | BC | 9.450592533939549 | | C | 7.943430290434465 | | D | 1.4865046886871378 | | F | 3.5814938099694866 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 331 ### same Season true ### historical Range * 3.114754098360655 * 3.378378378378378 ### backtest #### terms 8 #### gpa Error 0.1355708506415828 #### mix Error 16.45358072709719