# COMPSCI/MATH 513: Numerical Linear Algebra | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_MATH_513) ## 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 05a8e33b97837b7d7fd0f4abbe04905e72b9a2e3db8410e0003ea26b27e9d3b9 ### course id COMPSCI/MATH 513 ### course uid course\_145b404f135a123b8323fd02 ### catalog version id aa9ed60e5bc6ed5213b28256dc3274ffd5754418a19a94b317a8150cbdc31dc9 ### course number 513 ### subjects * COMPSCI * MATH ### title NUMERICAL LINEAR ALGEBRA ### description Direct and iterative solution of linear and nonlinear systems and of eigenproblems. LU and symmetric LU factorization. Complexity, stability, and conditioning. Nonlinear systems. Iterative methods for linear systems. QR-factorization and least squares. Eigenproblems: local and global methods. ### requirements text (MATH 320,340,341,345, or375) and (COMP SCI 200,220,300,310, or placement intoCOMP SCI 300), graduate/professional standing, or declared in Mathematics VISP (undergraduate or graduate) ### credit offering ids None recorded. ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 5c929fd54c3dfa5febc97b8349841557f5862c98b1c7737b0eb99ca99b982d97 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Numerical Linear Algebra covers direct and iterative methods for solving linear and nonlinear systems, eigenproblems, and least squares, analyzing complexity and stability. ### llm topics * Direct and iterative solution of linear and nonlinear systems. * LU and symmetric LU factorization. * Complexity, stability, and conditioning analysis. * Iterative methods for linear systems. * QR-factorization and least squares. * Eigenproblems: local and global methods. ### llm skills * Solving linear and nonlinear systems using direct and iterative methods. * Performing LU and symmetric LU factorizations. * Applying QR-factorization and least squares techniques. * Solving eigenproblems using local and global methods. * Analyzing complexity, stability, and conditioning of numerical methods. ### llm assumed background * Programming fundamentals including problem decomposition, control flow, and functions. * Object-oriented programming, data structures, and complexity analysis. * Linear algebra concepts including systems, matrices, vector spaces, and eigenvalues. * In-depth linear algebra covering matrix algebra, vector spaces, and diagonalization. ### llm search phrases * numerical linear algebra course * linear system solvers * eigenvalue algorithms * matrix factorization methods * least squares approximation ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash d212cb324cbc0fe40e96c124851cbf6798196d31ba8cb14a2724815e9ceb6f47 #### course id COMPSCI/MATH 513 #### current instructors None recorded. #### difficulty workload Historical reviews of Amos Ron: Biweekly homework assignments are extensive and time-consuming, requiring significant effort to achieve high grades, while exams are generally considered difficult. ```json { "citations": [ { "instructor_name": "Amos Ron", "review_date": "2018-04-03 20:18:45 +0000 UTC", "review_id": "a70c46954c02dbf4ed040c60", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTI5NzM2OTk2", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2018-05-14 12:33:38 +0000 UTC", "review_id": "f6388aa90d6dc01af06a7cd0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTMwMDk5MzE5", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2019-05-09 04:01:31 +0000 UTC", "review_id": "7ec4bbcc007fd536dc1311df", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTMxODIwODg5", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2020-05-03 21:08:56 +0000 UTC", "review_id": "1732c7d97c53f2b31cd7a5fc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTMzMTkwNjU2", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2020-05-12 03:16:06 +0000 UTC", "review_id": "381ef9371d2df138752bc717", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTMzMjcwNTE2", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2020-12-20 00:07:51 +0000 UTC", "review_id": "c9712b61022396d43954f4b5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTM0MTUyMzEz", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2021-05-10 04:44:02 +0000 UTC", "review_id": "bc5e228d3f9b7b2b462d9301", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTM0NzUwNDM5", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2023-05-08 22:53:07 +0000 UTC", "review_id": "64bce3a763d774291d727196", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTM3ODYzMzk4", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Amos Ron: Amos Ron teaches COMPSCI/MATH 513 with a polarizing style that reviewers describe as either brilliant and humorous or rambling and difficult to follow. While many praise his intuitive explanations and engaging personality, others criticize his lack of clarity and eccentric teaching methods. ```json { "citations": [ { "instructor_name": "Amos Ron", "review_date": "2018-04-03 20:18:45 +0000 UTC", "review_id": "a70c46954c02dbf4ed040c60", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTI5NzM2OTk2", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2018-05-14 00:39:18 +0000 UTC", "review_id": "661b508ffb9a7d965828039b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTMwMDk2MDQ5", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2018-05-14 12:33:38 +0000 UTC", "review_id": "f6388aa90d6dc01af06a7cd0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTMwMDk5MzE5", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2019-05-09 04:01:31 +0000 UTC", "review_id": "7ec4bbcc007fd536dc1311df", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTMxODIwODg5", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2020-05-03 21:08:56 +0000 UTC", "review_id": "1732c7d97c53f2b31cd7a5fc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTMzMTkwNjU2", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2020-05-12 03:16:06 +0000 UTC", "review_id": "381ef9371d2df138752bc717", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTMzMjcwNTE2", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2020-12-20 00:07:51 +0000 UTC", "review_id": "c9712b61022396d43954f4b5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTM0MTUyMzEz", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2021-05-10 04:44:02 +0000 UTC", "review_id": "bc5e228d3f9b7b2b462d9301", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTM0NzUwNDM5", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2022-04-03 21:31:55 +0000 UTC", "review_id": "32f9172bf3294b7f6cf2e853", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTM2MDEzNjMw", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2022-05-11 04:53:09 +0000 UTC", "review_id": "2fbe3cea82a8f4b7996dd67a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTM2MzA2ODYx", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" } ] } ``` #### offered false #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews of Amos Ron: Amos Ron is praised for his humor and ability to explain difficult algorithms intuitively, with students reporting significant learning gains and enjoyment of his engaging teaching style. ```json { "citations": [ { "instructor_name": "Amos Ron", "review_date": "2018-05-14 00:39:18 +0000 UTC", "review_id": "661b508ffb9a7d965828039b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTMwMDk2MDQ5", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2018-05-14 12:33:38 +0000 UTC", "review_id": "f6388aa90d6dc01af06a7cd0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTMwMDk5MzE5", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2020-05-12 03:16:06 +0000 UTC", "review_id": "381ef9371d2df138752bc717", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTMzMjcwNTE2", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2020-12-20 00:07:51 +0000 UTC", "review_id": "c9712b61022396d43954f4b5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTM0MTUyMzEz", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2021-05-10 04:44:02 +0000 UTC", "review_id": "bc5e228d3f9b7b2b462d9301", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTM0NzUwNDM5", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2022-05-11 04:53:09 +0000 UTC", "review_id": "2fbe3cea82a8f4b7996dd67a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTM2MzA2ODYx", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2023-05-08 22:53:07 +0000 UTC", "review_id": "64bce3a763d774291d727196", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTM3ODYzMzk4", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" } ] } ``` Recent recorded grades — Spring 2024: 3.24 GPA, 57.1% A/AB (n=35 letter grades); Spring 2025: 3.15 GPA, 50.0% A/AB (n=46 letter grades); Spring 2026: 3.04 GPA, 58.7% A/AB (n=63 letter grades). ```json { "citations": [ { "course_id": "COMPSCI/MATH 513", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI/MATH 513", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI/MATH 513", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Amos Ron: Students report mixed experiences with clarity, as some find lectures hard to follow due to rambling or lack of examples, while others appreciate the intuitive explanations and helpful slides. ```json { "citations": [ { "instructor_name": "Amos Ron", "review_date": "2018-04-03 20:18:45 +0000 UTC", "review_id": "a70c46954c02dbf4ed040c60", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTI5NzM2OTk2", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2019-05-09 04:01:31 +0000 UTC", "review_id": "7ec4bbcc007fd536dc1311df", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTMxODIwODg5", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2022-04-03 21:31:55 +0000 UTC", "review_id": "32f9172bf3294b7f6cf2e853", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTM2MDEzNjMw", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" }, { "instructor_name": "Amos Ron", "review_date": "2025-03-15 19:05:40 +0000 UTC", "review_id": "007d6d420bc42e4db8daf504", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1190420", "source_review_id": "UmF0aW5nLTQwNzc0NzYw", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history AMOS RON is recorded teaching in Spring 2007, Spring 2009, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2018, Spring 2019, Spring 2020, Spring 2022, Spring 2023, Spring 2024, Spring 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH 513", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "source_record": { "entity_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1074", "type": "grade" }, { "course_id": "COMPSCI/MATH 513", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "source_record": { "entity_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1094", "type": "grade" }, { "course_id": "COMPSCI/MATH 513", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "source_record": { "entity_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1114", "type": "grade" }, { "course_id": "COMPSCI/MATH 513", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "source_record": { "entity_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1124", "type": "grade" }, { "course_id": "COMPSCI/MATH 513", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "source_record": { "entity_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1134", "type": "grade" }, { "course_id": "COMPSCI/MATH 513", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "source_record": { "entity_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "COMPSCI/MATH 513", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "source_record": { "entity_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "COMPSCI/MATH 513", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "source_record": { "entity_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "COMPSCI/MATH 513", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "source_record": { "entity_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "COMPSCI/MATH 513", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "source_record": { "entity_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "COMPSCI/MATH 513", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "source_record": { "entity_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "COMPSCI/MATH 513", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "source_record": { "entity_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "COMPSCI/MATH 513", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "source_record": { "entity_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI/MATH 513", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "source_record": { "entity_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI/MATH 513", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "source_record": { "entity_id": "1405c0d1-cb20-3e32-af67-bc7ff9ff2fdb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "(MATH 320,340,341,345, or375) and (COMP SCI 200,220,300,310, or placement intoCOMP SCI 300), graduate/professional standing, or declared in Mathematics VISP (undergraduate or graduate)", "id": "n0", "kind": "any" }, { "children": [ "n4", "n5" ], "condition": null, "course": null, "evidence": "(MATH 320,340,341,345, or375) and (COMP SCI 200,220,300,310, or placement intoCOMP SCI 300)", "id": "n1", "kind": "all" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n2", "kind": "condition" }, { "children": [], "condition": "declared in Mathematics VISP (undergraduate or graduate)", "course": null, "evidence": "declared in Mathematics VISP (undergraduate or graduate)", "id": "n3", "kind": "condition" }, { "children": [ "n6", "n7", "n8", "n9", "n10" ], "condition": null, "course": null, "evidence": "MATH 320,340,341,345, or375", "id": "n4", "kind": "any" }, { "children": [ "n11", "n12", "n13", "n14", "n15" ], "condition": null, "course": null, "evidence": "COMP SCI 200,220,300,310, or placement intoCOMP SCI 300", "id": "n5", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 320, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 320", "id": "n6", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 340, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "340", "id": "n7", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 341, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "341", "id": "n8", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 345, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "345", "id": "n9", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 375, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "375", "id": "n10", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 200, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "COMP SCI 200", "id": "n11", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 220, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "220", "id": "n12", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "300", "id": "n13", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 310, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "310", "id": "n14", "kind": "course" }, { "children": [], "condition": "placement intoCOMP SCI 300", "course": null, "evidence": "placement intoCOMP SCI 300", "id": "n15", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_27f116f4dca1aab9aa930e7e", "source": "madgrades", "source_instructor_id": "2601567", "identity_basis": "source_id", "identity_status": "source_identified", "name": "AMOS RON", "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": 38, "quality": 3.05, "difficulty": 3.89, "quality_count": 38, "difficulty_count": 38, "profile_id": "rmp:1190420", "source_url": "https://www.ratemyprofessors.com/professor/1190420", "match_basis": "exact_name", "observed_at": "2026-09-07 16:56:03.093836+00:00", "courses": { "course_145b404f135a123b8323fd02": { "review_count": 16, "quality": 3.5, "difficulty": 3.81, "quality_count": 16, "difficulty_count": 16 }, "course_15b3f0bfce126907b8d418aa": { "review_count": 19, "quality": 2.95, "difficulty": 3.84, "quality_count": 19, "difficulty_count": 19 } }, "bayesian_quality": 3.2602364770850327, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.917, "graded": 1420, "counts": [ 390, 270, 249, 172, 186, 88, 65 ], "sections": 56 }, "instructor_url": "/instructors/AMOS_RON--instructor_27f116f4dca1aab9aa930e7e" }, { "instructor_uid": "instructor_3d133391eea9ca33b72f4d40", "source": "madgrades", "source_instructor_id": "6083361", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KARTIK SREENIVASAN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.188, "graded": 40, "counts": [ 15, 13, 3, 0, 5, 3, 1 ], "sections": 1 }, "instructor_url": "/instructors/KARTIK_SREENIVASAN" }, { "instructor_uid": "instructor_6ce815f08fb723fac90c6efa", "source": "madgrades", "source_instructor_id": "6086234", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YIN LIU", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.395, "graded": 539, "counts": [ 215, 144, 107, 30, 31, 8, 4 ], "sections": 4 }, "instructor_url": "/instructors/YIN_LIU--instructor_6ce815f08fb723fac90c6efa" }, { "instructor_uid": "instructor_57774221e85888389c559d92", "source": "madgrades", "source_instructor_id": "6374814", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KANGHEE PARK", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.067, "graded": 52, "counts": [ 15, 11, 11, 6, 5, 3, 1 ], "sections": 1 }, "instructor_url": "/instructors/KANGHEE_PARK" }, { "instructor_uid": "instructor_a4b51bd53a34b0715f5b2f81", "source": "madgrades", "source_instructor_id": "6091591", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YANG GUO", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.495, "graded": 418, "counts": [ 212, 67, 104, 17, 10, 4, 4 ], "sections": 3 }, "instructor_url": "/instructors/YANG_GUO--instructor_a4b51bd53a34b0715f5b2f81" }, { "instructor_uid": "instructor_9b666cf30fb7be84e75f5b96", "source": "madgrades", "source_instructor_id": "6188344", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MINGCHEN MA", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.287, "graded": 82, "counts": [ 29, 17, 22, 6, 6, 1, 1 ], "sections": 2 }, "instructor_url": "/instructors/MINGCHEN_MA--instructor_9b666cf30fb7be84e75f5b96" }, { "instructor_uid": "instructor_7929322b034a627bf82ac06f", "source": "madgrades", "source_instructor_id": "6556089", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DAISUKE YAMADA", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.152, "graded": 46, "counts": [ 14, 9, 13, 3, 4, 3, 0 ], "sections": 1 }, "instructor_url": "/instructors/DAISUKE_YAMADA" }, { "instructor_uid": "instructor_b28e3372b880f201c25b54a0", "source": "madgrades", "source_instructor_id": "6286192", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YUE SUN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.181, "graded": 91, "counts": [ 37, 21, 6, 8, 12, 6, 1 ], "sections": 2 }, "instructor_url": "/instructors/YUE_SUN--instructor_b28e3372b880f201c25b54a0" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 513", "course_uid": "course_145b404f135a123b8323fd02", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "Amos Ron" ], "a": 10, "ab": 2, "b": 6, "bc": 2, "c": 1, "d": 1, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 23, "source_aliases": [ "COMPSCI/MATH 513" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 513", "course_uid": "course_145b404f135a123b8323fd02", "term_id": "1094", "term_name": "Spring 2009", "instructors": [ "Amos Ron" ], "a": 8, "ab": 2, "b": 1, "bc": 0, "c": 1, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 14, "source_aliases": [ "COMPSCI/MATH 513" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 513", "course_uid": "course_145b404f135a123b8323fd02", "term_id": "1114", "term_name": "Spring 2011", "instructors": [ "Amos Ron" ], "a": 9, "ab": 3, "b": 5, "bc": 2, "c": 1, "d": 4, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 26, "source_aliases": [ "COMPSCI/MATH 513" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 513", "course_uid": "course_145b404f135a123b8323fd02", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "Amos Ron" ], "a": 12, "ab": 5, "b": 6, "bc": 3, "c": 2, "d": 1, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 33, "source_aliases": [ "COMPSCI/MATH 513" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 513", "course_uid": "course_145b404f135a123b8323fd02", "term_id": "1134", "term_name": "Spring 2013", "instructors": [ "Amos Ron" ], "a": 10, "ab": 7, "b": 5, "bc": 4, "c": 5, "d": 4, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 35, "source_aliases": [ "COMPSCI/MATH 513" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 513", "course_uid": "course_145b404f135a123b8323fd02", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "Amos Ron" ], "a": 12, "ab": 2, "b": 4, "bc": 2, "c": 5, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 27, "source_aliases": [ "COMPSCI/MATH 513" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 513", "course_uid": "course_145b404f135a123b8323fd02", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "Amos Ron" ], "a": 13, "ab": 8, "b": 2, "bc": 3, "c": 3, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 1, "total": 32, "source_aliases": [ "COMPSCI/MATH 513" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 513", "course_uid": "course_145b404f135a123b8323fd02", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "Amos Ron" ], "a": 8, "ab": 7, "b": 4, "bc": 5, "c": 6, "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": 35, "source_aliases": [ "COMPSCI/MATH 513" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 513", "course_uid": "course_145b404f135a123b8323fd02", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Amos Ron" ], "a": 23, "ab": 14, "b": 11, "bc": 14, "c": 7, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 69, "source_aliases": [ "COMPSCI/MATH 513" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 513", "course_uid": "course_145b404f135a123b8323fd02", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Amos Ron" ], "a": 19, "ab": 11, "b": 11, "bc": 10, "c": 12, "d": 2, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 2, "not_reported": 0, "other": 0, "total": 68, "source_aliases": [ "COMPSCI/MATH 513" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 513", "course_uid": "course_145b404f135a123b8323fd02", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Amos Ron", "KARTIK SREENIVASAN", "Yi Liu" ], "a": 15, "ab": 13, "b": 3, "bc": 0, "c": 5, "d": 3, "f": 1, "satisfactory": 12, "unsatisfactory": 4, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 57, "source_aliases": [ "COMPSCI/MATH 513" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 513", "course_uid": "course_145b404f135a123b8323fd02", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Amos Ron", "KANGHEE PARK" ], "a": 15, "ab": 11, "b": 11, "bc": 6, "c": 5, "d": 3, "f": 1, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 4, "no_work": 0, "not_reported": 0, "other": 0, "total": 57, "source_aliases": [ "COMPSCI/MATH 513" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 513", "course_uid": "course_145b404f135a123b8323fd02", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Amos Ron", "YANG GUO" ], "a": 18, "ab": 2, "b": 6, "bc": 7, "c": 2, "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": 41, "source_aliases": [ "COMPSCI/MATH 513" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 513", "course_uid": "course_145b404f135a123b8323fd02", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Amos Ron", "MINGCHEN MA" ], "a": 17, "ab": 3, "b": 7, "bc": 2, "c": 4, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 35, "source_aliases": [ "COMPSCI/MATH 513" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 513", "course_uid": "course_145b404f135a123b8323fd02", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Amos Ron", "DAISUKE YAMADA" ], "a": 14, "ab": 9, "b": 13, "bc": 3, "c": 4, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 46, "source_aliases": [ "COMPSCI/MATH 513" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 513", "course_uid": "course_145b404f135a123b8323fd02", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Yue Sun" ], "a": 22, "ab": 15, "b": 3, "bc": 8, "c": 8, "d": 6, "f": 1, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 64, "source_aliases": [ "COMPSCI/MATH 513" ] } ] ``` ### statistics #### gpa 3.086 #### graded 631 #### counts * 225 * 114 * 98 * 71 * 71 * 35 * 17 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_145b404f135a123b8323fd02-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_145b404f135a123b8323fd02-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_145b404f135a123b8323fd02-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_145b404f135a123b8323fd02-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_145b404f135a123b8323fd02-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_145b404f135a123b8323fd02-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_145b404f135a123b8323fd02-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_145b404f135a123b8323fd02-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.0863708399366088 #### count 631 #### university ##### size 4157 ##### gpa Percentile 4 ##### count Percentile 82 ##### median Count 159 ##### 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 | 11 | false | | 2.8–3.2 | 297 | true | | 3.2–3.6 | 1170 | false | | 3.6–4.0 | 2679 | false | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 92, "gpaPercentile": 7, "countPercentile": 67, "medianCount": 362.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 14, "current": true }, { "range": "3.2–3.6", "count": 29, "current": false }, { "range": "3.6–4.0", "count": 49, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 103, "gpaPercentile": 25, "countPercentile": 75, "medianCount": 206, "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": 26, "current": true }, { "range": "3.2–3.6", "count": 22, "current": false }, { "range": "3.6–4.0", "count": 49, "current": false } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 3.3181818181818183 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1094 ##### term 1094 ##### gpa 3.2142857142857144 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1114 ##### term 1114 ##### gpa 2.9 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1124 ##### term 1124 ##### gpa 3 ##### count 32 ##### university ###### size 821 ###### gpa Percentile 17 ###### count Percentile 5 ###### 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": "COMPSCI", "comparison": { "size": 22, "gpaPercentile": 33, "countPercentile": 10, "medianCount": 59, "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": 10, "current": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 28, "gpaPercentile": 67, "countPercentile": 4, "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 } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 2.9571428571428573 ##### count 35 ##### university ###### size 852 ###### gpa Percentile 11 ###### count Percentile 12 ###### 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": "COMPSCI", "comparison": { "size": 22, "gpaPercentile": 14, "countPercentile": 5, "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": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 52, "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": 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 } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 3.074074074074074 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | #### 1154 ##### term 1154 ##### gpa 3.316666666666667 ##### count 30 ##### university ###### size 935 ###### gpa Percentile 40 ###### count Percentile 0 ###### median Count 63 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 38 | false | | 2.8–3.2 | 237 | false | | 3.2–3.6 | 326 | true | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 43, "countPercentile": 0, "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": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 33, "gpaPercentile": 91, "countPercentile": 0, "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": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 2.764705882352941 ##### count 34 ##### university ###### size 965 ###### gpa Percentile 3 ###### 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 | 3 | false | | 2.4–2.8 | 37 | true | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 32, "gpaPercentile": 10, "countPercentile": 3, "medianCount": 84, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 32, "gpaPercentile": 26, "countPercentile": 0, "medianCount": 83, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 10, "current": true }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.2318840579710146 ##### count 69 ##### university ###### size 1010 ###### gpa Percentile 25 ###### count Percentile 51 ###### 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": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 50, "countPercentile": 20, "medianCount": 126, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 74, "countPercentile": 40, "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 } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.007575757575758 ##### count 66 ##### university ###### size 1040 ###### gpa Percentile 10 ###### count Percentile 49 ###### 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": "COMPSCI", "comparison": { "size": 38, "gpaPercentile": 19, "countPercentile": 32, "medianCount": 92, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 11, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 38, "gpaPercentile": 43, "countPercentile": 46, "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 } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.1875 ##### count 40 ##### university ###### size 1012 ###### gpa Percentile 2 ###### count Percentile 22 ###### 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 | true | | 3.2–3.6 | 301 | false | | 3.6–4.0 | 685 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 42, "gpaPercentile": 0, "countPercentile": 7, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": true }, { "range": "3.2–3.6", "count": 19, "current": false }, { "range": "3.6–4.0", "count": 22, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 29, "gpaPercentile": 7, "countPercentile": 14, "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": true }, { "range": "3.2–3.6", "count": 20, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.0673076923076925 ##### count 52 ##### university ###### size 1171 ###### gpa Percentile 10 ###### count Percentile 39 ###### 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": "COMPSCI", "comparison": { "size": 45, "gpaPercentile": 7, "countPercentile": 18, "medianCount": 96, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 11, "current": true }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 17, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 36, "countPercentile": 24, "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 } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 2.9878048780487805 ##### count 41 ##### university ###### size 1188 ###### gpa Percentile 5 ###### count Percentile 23 ###### 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": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 4, "countPercentile": 18, "medianCount": 111, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": true }, { "range": "3.2–3.6", "count": 26, "current": false }, { "range": "3.6–4.0", "count": 12, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 41, "gpaPercentile": 35, "countPercentile": 28, "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 } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.242857142857143 ##### count 35 ##### university ###### size 1241 ###### gpa Percentile 16 ###### count Percentile 11 ###### 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": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 31, "countPercentile": 0, "medianCount": 116, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 17, "current": true }, { "range": "3.6–4.0", "count": 18, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 64, "countPercentile": 12, "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 } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.152173913043478 ##### count 46 ##### university ###### size 1289 ###### gpa Percentile 9 ###### count Percentile 29 ###### 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": "COMPSCI", "comparison": { "size": 52, "gpaPercentile": 14, "countPercentile": 18, "medianCount": 105, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 10, "current": true }, { "range": "3.2–3.6", "count": 24, "current": false }, { "range": "3.6–4.0", "count": 17, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 47, "countPercentile": 18, "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 } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.0396825396825395 ##### count 63 ##### university ###### size 1283 ###### gpa Percentile 6 ###### count Percentile 46 ###### 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": "COMPSCI", "comparison": { "size": 48, "gpaPercentile": 6, "countPercentile": 26, "medianCount": 105.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": true }, { "range": "3.2–3.6", "count": 21, "current": false }, { "range": "3.6–4.0", "count": 19, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 42, "gpaPercentile": 41, "countPercentile": 37, "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 4157 ###### gpa 3.662838503771964 ###### top Share 82.1540448294743 ###### count 159 ##### COMPSCI ###### size 92 ###### gpa 3.5717641478991644 ###### top Share 77.35670836480932 ###### count 362.5 ##### MATH ###### size 103 ###### gpa 3.494068193016855 ###### top Share 72.53052322249644 ###### count 206 #### terms ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ###### COMPSCI ###### size 13 ###### gpa 3.0855368848689455 ###### top Share 48.7445028912265 ###### count 55 ###### MATH ###### size 17 ###### gpa 2.821339129045922 ###### top Share 38.66654769268061 ###### count 133 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### COMPSCI ###### size 16 ###### gpa 3.1364214252215854 ###### top Share 48.56845161086566 ###### count 72 ###### MATH ###### size 19 ###### gpa 2.861322177541941 ###### top Share 40.26350030907326 ###### count 108 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### COMPSCI ###### size 18 ###### gpa 3.266230341473234 ###### top Share 59.94733477037724 ###### count 58 ###### MATH ###### size 26 ###### gpa 2.9090822348911582 ###### top Share 41.14706210117883 ###### count 83.5 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### COMPSCI ###### size 22 ###### gpa 3.1674244675767893 ###### top Share 54.635052791099376 ###### count 59 ###### MATH ###### size 28 ###### gpa 2.9109864595893504 ###### top Share 42.40580272314707 ###### count 75 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### COMPSCI ###### size 22 ###### gpa 3.2424086213492718 ###### top Share 59.28222765244668 ###### count 68 ###### MATH ###### size 26 ###### gpa 2.938004331770204 ###### top Share 42.318323348030226 ###### count 83.5 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### COMPSCI ###### size 26 ###### gpa 3.263233863996996 ###### top Share 58.711877593449 ###### count 70.5 ###### MATH ###### size 30 ###### gpa 2.926152797086596 ###### top Share 42.17363619414386 ###### count 79 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### COMPSCI ###### size 31 ###### gpa 3.3515611477246905 ###### top Share 66.93977839039297 ###### count 63 ###### MATH ###### size 33 ###### gpa 2.9834698949629033 ###### top Share 46.71989715257013 ###### count 69 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### COMPSCI ###### size 32 ###### gpa 3.2951719476979457 ###### top Share 63.07751525075427 ###### count 84 ###### MATH ###### size 32 ###### gpa 2.995223360849456 ###### top Share 46.38098813836469 ###### count 83 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### COMPSCI ###### size 31 ###### gpa 3.329310414227759 ###### top Share 61.243618316797935 ###### count 126 ###### MATH ###### size 36 ###### gpa 3.0650838986714333 ###### top Share 47.42689290604571 ###### count 83.5 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### COMPSCI ###### size 38 ###### gpa 3.3433846242383978 ###### top Share 63.409438479169644 ###### count 92 ###### MATH ###### size 38 ###### gpa 3.133406260873163 ###### top Share 53.17595010634325 ###### count 71.5 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### COMPSCI ###### size 42 ###### gpa 3.6240893265324647 ###### top Share 79.98991493017058 ###### count 90.5 ###### MATH ###### size 29 ###### gpa 3.478717830475146 ###### top Share 69.61236805388549 ###### count 83 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### COMPSCI ###### size 45 ###### gpa 3.4719336884851772 ###### top Share 70.89188483398956 ###### count 96 ###### MATH ###### size 34 ###### gpa 3.1555898753466907 ###### top Share 53.444319815085976 ###### count 87.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### COMPSCI ###### size 46 ###### gpa 3.457340982461054 ###### top Share 70.00975704504911 ###### count 111 ###### MATH ###### size 41 ###### gpa 3.178489266862151 ###### top Share 56.06874885619616 ###### count 67 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### COMPSCI ###### size 46 ###### gpa 3.477413782571094 ###### top Share 70.8725394264854 ###### count 116 ###### MATH ###### size 43 ###### gpa 3.228240949537157 ###### top Share 55.86451059486035 ###### count 68 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### COMPSCI ###### size 52 ###### gpa 3.482652727664103 ###### top Share 71.33786483648515 ###### count 105 ###### MATH ###### size 39 ###### gpa 3.180435541912479 ###### top Share 53.878371816747475 ###### count 89 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### COMPSCI ###### size 48 ###### gpa 3.5022746140005943 ###### top Share 73.13318776233326 ###### count 105.5 ###### MATH ###### size 42 ###### gpa 3.13598176627681 ###### top Share 52.25969905887213 ###### count 80 ## instructor Trends ```json [ { "uid": "instructor_27f116f4dca1aab9aa930e7e", "name": "AMOS RON", "count": 568, "terms": [ { "term": "1074", "count": 22, "sections": 1, "gpa": 3.3181818181818183 }, { "term": "1094", "count": 14, "sections": 1, "gpa": 3.2142857142857144 }, { "term": "1114", "count": 25, "sections": 1, "gpa": 2.9 }, { "term": "1124", "count": 32, "sections": 1, "gpa": 3 }, { "term": "1134", "count": 35, "sections": 1, "gpa": 2.9571428571428573 }, { "term": "1144", "count": 27, "sections": 1, "gpa": 3.074074074074074 }, { "term": "1154", "count": 30, "sections": 1, "gpa": 3.316666666666667 }, { "term": "1164", "count": 34, "sections": 1, "gpa": 2.764705882352941 }, { "term": "1184", "count": 69, "sections": 1, "gpa": 3.2318840579710146 }, { "term": "1194", "count": 66, "sections": 1, "gpa": 3.007575757575758 }, { "term": "1204", "count": 40, "sections": 1, "gpa": 3.1875 }, { "term": "1224", "count": 52, "sections": 1, "gpa": 3.0673076923076925 }, { "term": "1234", "count": 41, "sections": 1, "gpa": 2.9878048780487805 }, { "term": "1244", "count": 35, "sections": 1, "gpa": 3.242857142857143 }, { "term": "1254", "count": 46, "sections": 1, "gpa": 3.152173913043478 } ] }, { "uid": "instructor_b28e3372b880f201c25b54a0", "name": "YUE SUN", "count": 63, "terms": [ { "term": "1264", "count": 63, "sections": 1, "gpa": 3.0396825396825395 } ] }, { "uid": "instructor_57774221e85888389c559d92", "name": "KANGHEE PARK", "count": 52, "terms": [ { "term": "1224", "count": 52, "sections": 1, "gpa": 3.0673076923076925 } ] }, { "uid": "instructor_7929322b034a627bf82ac06f", "name": "DAISUKE YAMADA", "count": 46, "terms": [ { "term": "1254", "count": 46, "sections": 1, "gpa": 3.152173913043478 } ] }, { "uid": "instructor_a4b51bd53a34b0715f5b2f81", "name": "YANG GUO", "count": 41, "terms": [ { "term": "1234", "count": 41, "sections": 1, "gpa": 2.9878048780487805 } ] }, { "uid": "instructor_3d133391eea9ca33b72f4d40", "name": "KARTIK SREENIVASAN", "count": 40, "terms": [ { "term": "1204", "count": 40, "sections": 1, "gpa": 3.1875 } ] }, { "uid": "instructor_6ce815f08fb723fac90c6efa", "name": "YIN LIU", "count": 40, "terms": [ { "term": "1204", "count": 40, "sections": 1, "gpa": 3.1875 } ] }, { "uid": "instructor_9b666cf30fb7be84e75f5b96", "name": "MINGCHEN MA", "count": 35, "terms": [ { "term": "1244", "count": 35, "sections": 1, "gpa": 3.242857142857143 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.100599586469568 ### grades | grade | percentage | | ----- | ------------------ | | A | 37.07984551677123 | | AB | 16.69133399824688 | | B | 16.756276393837254 | | BC | 10.423775618958642 | | C | 9.937304457966485 | | D | 7.118030441166471 | | F | 1.9934335730530341 | ### source Terms * 1264 * 1254 * 1244 * 1234 * 1224 ### source Count 237 ### same Season false ### historical Range * 2.9878048780487805 * 3.242857142857143