# MATH 376: Topics in Multi-variable Calculus and Differential Equations | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MATH_376) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T23:19:01.870283+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 8c443a5d67a572f3a24bdb55dc2fd568154c2dcf679c9c3ed6392ecc78daff21 ### course id MATH 376 ### course uid course\_be7b0773bc9d040384a6a3ce ### catalog version id bb389a1e7fbcb1a1601f7f955d930ed04752d6ecaa363f085381446f499bc62a ### course number 376 ### subjects * MATH ### title TOPICS IN MULTI-VARIABLE CALCULUS AND DIFFERENTIAL EQUATIONS ### description Topics in multi-variable calculus and introduction to differential equations. ### requirements text MATH 375 ### credit offering ids None recorded. ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id e6fb1eebed734d5e4306c1ab256e5d3755b4fc1b61636200ed14879e21252a58 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers advanced topics in multi-variable calculus and introduces differential equations. ### llm topics * Multi-variable calculus * Differential equations ### llm skills None recorded. ### llm assumed background * Foundational knowledge in multivariable calculus and linear algebra, including vector spaces, differential calculus of fields, and integration techniques. ### llm search phrases * multivariable calculus topics * differential equations introduction * MATH 375 prerequisites * vector calculus applications ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash c0c718be04c6e6d2e7c948adf652e959912d1995c01c5399d7d800bc186052a4 #### course id MATH 376 #### current instructors None recorded. #### difficulty workload Historical reviews of Alexander Nagel, Autumn Kent, Brian Street, Tullia Dymarz: Reviewers consistently characterize the course as difficult, requiring significant effort and long study hours. Students note that the mathematical content demands deep thinking and careful preparation, particularly when engaging with online lectures. ```json { "citations": [ { "instructor_name": "Alexander Nagel", "review_date": "2008-05-11 11:23:55 +0000 UTC", "review_id": "84ef0d6a3d621c59c54c8e19", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:314655", "source_review_id": "UmF0aW5nLTE0NDQ2NTQ4", "source_url": "https://www.ratemyprofessors.com/professor/314655", "type": "review" }, { "instructor_name": "Brian Street", "review_date": "2015-05-09 22:26:05 +0000 UTC", "review_id": "0b43d7c33b202c4ccd631344", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1574143", "source_review_id": "UmF0aW5nLTI0Nzg3NDgx", "source_url": "https://www.ratemyprofessors.com/professor/1574143", "type": "review" }, { "instructor_name": "Tullia Dymarz", "review_date": "2016-04-04 11:22:23 +0000 UTC", "review_id": "62083ebfe858aa41b1dde0d0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1653279", "source_review_id": "UmF0aW5nLTI2MjI1ODc5", "source_url": "https://www.ratemyprofessors.com/professor/1653279", "type": "review" }, { "instructor_name": "Tullia Dymarz", "review_date": "2017-05-07 13:05:07 +0000 UTC", "review_id": "5693de3f065d495b9e4a4cb7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1653279", "source_review_id": "UmF0aW5nLTI4MjM3NTI1", "source_url": "https://www.ratemyprofessors.com/professor/1653279", "type": "review" }, { "instructor_name": "Autumn Kent", "review_date": "2021-09-07 23:01:32 +0000 UTC", "review_id": "03fb7fc134766a59f04aa2ed", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2216023", "source_review_id": "UmF0aW5nLTM1MDY0NTcx", "source_url": "https://www.ratemyprofessors.com/professor/2216023", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical instructors Alexander Nagel, Brian Street, Tullia Dymarz, Hung Tran, and Autumn Kent generally received high praise for clear teaching and engaging lectures. Conversely, Yifan Wei received negative reviews citing confusion in discussions and course drops, indicating significant variability in student experience across different terms. ```json { "citations": [ { "instructor_name": "Alexander Nagel", "review_date": "2008-05-11 11:23:55 +0000 UTC", "review_id": "84ef0d6a3d621c59c54c8e19", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:314655", "source_review_id": "UmF0aW5nLTE0NDQ2NTQ4", "source_url": "https://www.ratemyprofessors.com/professor/314655", "type": "review" }, { "instructor_name": "Alexander Nagel", "review_date": "2008-06-08 16:06:23 +0000 UTC", "review_id": "b46e843ee410faf56855d207", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:314655", "source_review_id": "UmF0aW5nLTE0NTY2MDIy", "source_url": "https://www.ratemyprofessors.com/professor/314655", "type": "review" }, { "instructor_name": "Brian Street", "review_date": "2011-05-04 21:17:34 +0000 UTC", "review_id": "de873e73993376d4174f7fc5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1574143", "source_review_id": "UmF0aW5nLTE4NTI4ODM4", "source_url": "https://www.ratemyprofessors.com/professor/1574143", "type": "review" }, { "instructor_name": "Brian Street", "review_date": "2015-05-09 22:26:05 +0000 UTC", "review_id": "0b43d7c33b202c4ccd631344", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1574143", "source_review_id": "UmF0aW5nLTI0Nzg3NDgx", "source_url": "https://www.ratemyprofessors.com/professor/1574143", "type": "review" }, { "instructor_name": "Tullia Dymarz", "review_date": "2016-04-04 11:22:23 +0000 UTC", "review_id": "62083ebfe858aa41b1dde0d0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1653279", "source_review_id": "UmF0aW5nLTI2MjI1ODc5", "source_url": "https://www.ratemyprofessors.com/professor/1653279", "type": "review" }, { "instructor_name": "Tullia Dymarz", "review_date": "2017-05-07 13:05:07 +0000 UTC", "review_id": "5693de3f065d495b9e4a4cb7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1653279", "source_review_id": "UmF0aW5nLTI4MjM3NTI1", "source_url": "https://www.ratemyprofessors.com/professor/1653279", "type": "review" }, { "instructor_name": "Hung Tran", "review_date": "2019-06-17 13:11:04 +0000 UTC", "review_id": "da7d184d0e83991c418a098e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2230918", "source_review_id": "UmF0aW5nLTMyMDMzNDg1", "source_url": "https://www.ratemyprofessors.com/professor/2230918", "type": "review" }, { "instructor_name": "Autumn Kent", "review_date": "2021-09-07 23:01:32 +0000 UTC", "review_id": "03fb7fc134766a59f04aa2ed", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2216023", "source_review_id": "UmF0aW5nLTM1MDY0NTcx", "source_url": "https://www.ratemyprofessors.com/professor/2216023", "type": "review" }, { "instructor_name": "Yifan Wei", "review_date": "2024-02-06 05:42:50 +0000 UTC", "review_id": "1b14c594ea67ea354a337143", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984537", "source_review_id": "UmF0aW5nLTM4OTU0OTA1", "source_url": "https://www.ratemyprofessors.com/professor/2984537", "type": "review" }, { "instructor_name": "Yifan Wei", "review_date": "2024-02-06 05:45:35 +0000 UTC", "review_id": "82aba93e6f9c08dee93bec72", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2984537", "source_review_id": "UmF0aW5nLTM4OTU0OTA4", "source_url": "https://www.ratemyprofessors.com/professor/2984537", "type": "review" } ] } ``` #### offered false #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews describe MATH 376 as a challenging but rewarding course with generally excellent instruction. Students report high learning outcomes and appreciation for dedicated teaching from instructors like Nagel, Street, and Dymarz, while Technau’s lectures are noted as sometimes confusing but supported by helpful office hours. ```json { "citations": [ { "instructor_name": "Alexander Nagel", "review_date": "2008-05-11 11:23:55 +0000 UTC", "review_id": "84ef0d6a3d621c59c54c8e19", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:314655", "source_review_id": "UmF0aW5nLTE0NDQ2NTQ4", "source_url": "https://www.ratemyprofessors.com/professor/314655", "type": "review" }, { "instructor_name": "Alexander Nagel", "review_date": "2008-06-08 16:06:23 +0000 UTC", "review_id": "b46e843ee410faf56855d207", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:314655", "source_review_id": "UmF0aW5nLTE0NTY2MDIy", "source_url": "https://www.ratemyprofessors.com/professor/314655", "type": "review" }, { "instructor_name": "Brian Street", "review_date": "2011-05-04 21:17:34 +0000 UTC", "review_id": "de873e73993376d4174f7fc5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1574143", "source_review_id": "UmF0aW5nLTE4NTI4ODM4", "source_url": "https://www.ratemyprofessors.com/professor/1574143", "type": "review" }, { "instructor_name": "Brian Street", "review_date": "2015-05-09 22:26:05 +0000 UTC", "review_id": "0b43d7c33b202c4ccd631344", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1574143", "source_review_id": "UmF0aW5nLTI0Nzg3NDgx", "source_url": "https://www.ratemyprofessors.com/professor/1574143", "type": "review" }, { "instructor_name": "Tullia Dymarz", "review_date": "2016-04-04 11:22:23 +0000 UTC", "review_id": "62083ebfe858aa41b1dde0d0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1653279", "source_review_id": "UmF0aW5nLTI2MjI1ODc5", "source_url": "https://www.ratemyprofessors.com/professor/1653279", "type": "review" }, { "instructor_name": "Tullia Dymarz", "review_date": "2017-05-07 13:05:07 +0000 UTC", "review_id": "5693de3f065d495b9e4a4cb7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1653279", "source_review_id": "UmF0aW5nLTI4MjM3NTI1", "source_url": "https://www.ratemyprofessors.com/professor/1653279", "type": "review" }, { "instructor_name": "Hung Tran", "review_date": "2019-06-17 13:11:04 +0000 UTC", "review_id": "da7d184d0e83991c418a098e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2230918", "source_review_id": "UmF0aW5nLTMyMDMzNDg1", "source_url": "https://www.ratemyprofessors.com/professor/2230918", "type": "review" }, { "instructor_name": "Autumn Kent", "review_date": "2021-09-07 23:01:32 +0000 UTC", "review_id": "03fb7fc134766a59f04aa2ed", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2216023", "source_review_id": "UmF0aW5nLTM1MDY0NTcx", "source_url": "https://www.ratemyprofessors.com/professor/2216023", "type": "review" }, { "instructor_name": "Niclas Technau", "review_date": "2026-05-03 17:59:21 +0000 UTC", "review_id": "bf9fabac84ffdc7590172aeb", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3121777", "source_review_id": "UmF0aW5nLTQzMDEwMTMy", "source_url": "https://www.ratemyprofessors.com/professor/3121777", "type": "review" }, { "instructor_name": "Niclas Technau", "review_date": "2026-05-08 03:56:36 +0000 UTC", "review_id": "6cc6cfcc853ed3e29f709ad1", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3121777", "source_review_id": "UmF0aW5nLTQzMDY4MjQ1", "source_url": "https://www.ratemyprofessors.com/professor/3121777", "type": "review" } ] } ``` Recent recorded grades — Spring 2024: 3.48 GPA, 71.4% A/AB (n=42 letter grades); Spring 2025: 3.53 GPA, 72.9% A/AB (n=48 letter grades); Spring 2026: 3.65 GPA, 74.4% A/AB (n=43 letter grades). ```json { "citations": [ { "course_id": "MATH 376", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e1c2012e-fe53-3dc5-9548-f8fbd392f68a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MATH 376", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e1c2012e-fe53-3dc5-9548-f8fbd392f68a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MATH 376", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e1c2012e-fe53-3dc5-9548-f8fbd392f68a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Hung Tran, Niclas Technau: Students find value in clear proofs on the board and practice exams that closely mirror actual assessments. However, some reviewers report that lectures can be confusing or disorganized, necessitating reliance on office hours for clarification and support. ```json { "citations": [ { "instructor_name": "Hung Tran", "review_date": "2019-06-17 13:11:04 +0000 UTC", "review_id": "da7d184d0e83991c418a098e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2230918", "source_review_id": "UmF0aW5nLTMyMDMzNDg1", "source_url": "https://www.ratemyprofessors.com/professor/2230918", "type": "review" }, { "instructor_name": "Niclas Technau", "review_date": "2026-05-03 17:59:21 +0000 UTC", "review_id": "bf9fabac84ffdc7590172aeb", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3121777", "source_review_id": "UmF0aW5nLTQzMDEwMTMy", "source_url": "https://www.ratemyprofessors.com/professor/3121777", "type": "review" }, { "instructor_name": "Niclas Technau", "review_date": "2026-05-08 03:56:36 +0000 UTC", "review_id": "6cc6cfcc853ed3e29f709ad1", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3121777", "source_review_id": "UmF0aW5nLTQzMDY4MjQ1", "source_url": "https://www.ratemyprofessors.com/professor/3121777", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ALEXANDER NAGEL is recorded teaching in Spring 2008. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 376", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e1c2012e-fe53-3dc5-9548-f8fbd392f68a", "source_record": { "entity_id": "e1c2012e-fe53-3dc5-9548-f8fbd392f68a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1084", "type": "grade" } ] } ``` BRIAN STREET is recorded teaching in Spring 2010, Spring 2011, Spring 2015. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 376", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e1c2012e-fe53-3dc5-9548-f8fbd392f68a", "source_record": { "entity_id": "e1c2012e-fe53-3dc5-9548-f8fbd392f68a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1104", "type": "grade" }, { "course_id": "MATH 376", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e1c2012e-fe53-3dc5-9548-f8fbd392f68a", "source_record": { "entity_id": "e1c2012e-fe53-3dc5-9548-f8fbd392f68a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1114", "type": "grade" }, { "course_id": "MATH 376", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e1c2012e-fe53-3dc5-9548-f8fbd392f68a", "source_record": { "entity_id": "e1c2012e-fe53-3dc5-9548-f8fbd392f68a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" } ] } ``` HUNG TRAN is recorded teaching in Spring 2019. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 376", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e1c2012e-fe53-3dc5-9548-f8fbd392f68a", "source_record": { "entity_id": "e1c2012e-fe53-3dc5-9548-f8fbd392f68a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" } ] } ``` NICLAS TECHNAU is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 376", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e1c2012e-fe53-3dc5-9548-f8fbd392f68a", "source_record": { "entity_id": "e1c2012e-fe53-3dc5-9548-f8fbd392f68a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` TULLIA DYMARZ is recorded teaching in Spring 2016, Spring 2017. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 376", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e1c2012e-fe53-3dc5-9548-f8fbd392f68a", "source_record": { "entity_id": "e1c2012e-fe53-3dc5-9548-f8fbd392f68a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "MATH 376", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e1c2012e-fe53-3dc5-9548-f8fbd392f68a", "source_record": { "entity_id": "e1c2012e-fe53-3dc5-9548-f8fbd392f68a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1174", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": null, "course": { "course_number": 375, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 375", "id": "n0", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_b9a630b0e3b3db4a0fe1de98", "source": "madgrades", "source_instructor_id": "2601610", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GLORIA MARI-BEFFA", "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": 66, "quality": 3.06, "difficulty": 3.95, "quality_count": 66, "difficulty_count": 66, "profile_id": "rmp:593639", "source_url": "https://www.ratemyprofessors.com/professor/593639", "match_basis": "exact_name", "observed_at": "2026-09-07 16:38:15.943133+00:00", "courses": { 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"/instructors/CAGLAR_UYANIK--instructor_18ef1d7d9b98466965984778" }, { "instructor_uid": "instructor_c71686b20443ece4d26594c5", "source": "madgrades", "source_instructor_id": "6179547", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHAOMING 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", "ratings": { "review_count": 17, "quality": 1.88, "difficulty": 3.71, "quality_count": 17, "difficulty_count": 17, "profile_id": "rmp:2531248", "source_url": "https://www.ratemyprofessors.com/professor/2531248", "match_basis": "exact_name", "observed_at": "2026-09-07 16:06:05.646704+00:00", "courses": { "course_dcdb624e3fb8cbaf9a557ab9": { "review_count": 8, "quality": 1.88, "difficulty": 4, "quality_count": 8, "difficulty_count": 8 }, "course_8634dde81cc95f6c58014087": { "review_count": 9, "quality": 1.89, "difficulty": 3.44, "quality_count": 9, "difficulty_count": 9 } }, "bayesian_quality": 2.841992315430592, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.649, "graded": 340, "counts": [ 247, 34, 21, 13, 16, 6, 3 ], "sections": 17 }, "instructor_url": "/instructors/SHAOMING_GUO--instructor_c71686b20443ece4d26594c5" }, { "instructor_uid": "instructor_192e932c9d86d7d925e021f3", "source": "madgrades", "source_instructor_id": "4441095", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANDREW ZIMMER", "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": 3.088, "graded": 477, "counts": [ 170, 47, 146, 27, 52, 19, 16 ], "sections": 21 }, "instructor_url": "/instructors/ANDREW_ZIMMER--instructor_192e932c9d86d7d925e021f3" }, { "instructor_uid": "instructor_7612afaa943ae8e0772b4895", "source": "madgrades", "source_instructor_id": "6802599", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NICLAS TECHNAU", "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": 3, "quality": 4, "difficulty": 3.67, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:3121777", "source_url": "https://www.ratemyprofessors.com/professor/3121777", "match_basis": "exact_name", "observed_at": "2026-09-07 16:14:04.156050+00:00", "courses": { "course_be7b0773bc9d040384a6a3ce": { "review_count": 3, "quality": 4, "difficulty": 3.67, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.7040745943883437, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.471, "graded": 85, "counts": [ 38, 14, 27, 4, 1, 1, 0 ], "sections": 4 }, "instructor_url": "/instructors/NICLAS_TECHNAU--instructor_7612afaa943ae8e0772b4895" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 376", "course_uid": "course_be7b0773bc9d040384a6a3ce", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "GLORIA MARI-BEFFA" ], "a": 12, "ab": 4, "b": 8, "bc": 1, "c": 3, "d": 2, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 31, "source_aliases": [ "MATH 376" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 376", "course_uid": "course_be7b0773bc9d040384a6a3ce", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "ALEXANDER NAGEL" ], "a": 24, "ab": 6, "b": 11, "bc": 5, "c": 1, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 48, "source_aliases": [ "MATH 376" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 376", "course_uid": "course_be7b0773bc9d040384a6a3ce", "term_id": "1094", "term_name": "Spring 2009", "instructors": [ "FEDOR NAZAROV" ], "a": 18, "ab": 15, "b": 10, "bc": 0, "c": 4, "d": 0, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 49, "source_aliases": [ "MATH 376" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 376", "course_uid": "course_be7b0773bc9d040384a6a3ce", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "Brian Street" ], "a": 9, "ab": 10, "b": 2, "bc": 3, "c": 2, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 27, "source_aliases": [ "MATH 376" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 376", "course_uid": "course_be7b0773bc9d040384a6a3ce", "term_id": "1114", "term_name": "Spring 2011", "instructors": [ "Brian Street" ], "a": 10, "ab": 3, "b": 9, "bc": 4, "c": 4, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 31, "source_aliases": [ "MATH 376" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 376", "course_uid": "course_be7b0773bc9d040384a6a3ce", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "GLORIA MARI-BEFFA" ], "a": 21, "ab": 5, "b": 11, "bc": 5, "c": 4, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 47, "source_aliases": [ "MATH 376" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 376", "course_uid": "course_be7b0773bc9d040384a6a3ce", "term_id": "1134", "term_name": "Spring 2013", "instructors": [ "JAMES SIZEMORE" ], "a": 23, "ab": 7, "b": 16, "bc": 2, "c": 2, "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": 50, "source_aliases": [ "MATH 376" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 376", "course_uid": "course_be7b0773bc9d040384a6a3ce", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "Laurentiu Maxim" ], "a": 8, "ab": 2, "b": 10, "bc": 3, "c": 7, "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": 32, "source_aliases": [ "MATH 376" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 376", "course_uid": "course_be7b0773bc9d040384a6a3ce", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "Brian Street" ], "a": 15, "ab": 9, "b": 4, "bc": 3, "c": 2, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 34, "source_aliases": [ "MATH 376" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 376", "course_uid": "course_be7b0773bc9d040384a6a3ce", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "Tullia Dymarz" ], "a": 21, "ab": 12, "b": 9, "bc": 3, "c": 3, "d": 1, "f": 1, "satisfactory": 0, 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5, "d": 2, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 36, "source_aliases": [ "MATH 376" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 376", "course_uid": "course_be7b0773bc9d040384a6a3ce", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Hung Tran" ], "a": 23, "ab": 14, "b": 9, "bc": 8, "c": 3, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 58, "source_aliases": [ "MATH 376" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 376", "course_uid": "course_be7b0773bc9d040384a6a3ce", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "SERGUEI DENISSOV" ], "a": 15, "ab": 6, "b": 5, "bc": 3, "c": 0, "d": 0, "f": 0, "satisfactory": 5, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 1, "not_reported": 0, "other": 0, "total": 36, "source_aliases": [ "MATH 376" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 376", "course_uid": "course_be7b0773bc9d040384a6a3ce", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Caglar Uyanik" ], "a": 21, "ab": 4, "b": 9, "bc": 1, "c": 1, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 37, "source_aliases": [ "MATH 376" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 376", "course_uid": "course_be7b0773bc9d040384a6a3ce", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "SHAOMING GUO" ], "a": 25, "ab": 10, "b": 3, "bc": 3, "c": 4, "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": 45, "source_aliases": [ "MATH 376" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 376", "course_uid": "course_be7b0773bc9d040384a6a3ce", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Andrew Zimmer" ], "a": 20, "ab": 10, "b": 6, "bc": 2, "c": 4, "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": 42, "source_aliases": [ "MATH 376" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 376", "course_uid": "course_be7b0773bc9d040384a6a3ce", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Caglar Uyanik" ], "a": 24, "ab": 11, "b": 8, "bc": 4, "c": 0, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 48, "source_aliases": [ "MATH 376" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 376", "course_uid": "course_be7b0773bc9d040384a6a3ce", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Niclas Technau" ], "a": 24, "ab": 8, "b": 11, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 43, "source_aliases": [ "MATH 376" ] } ] ``` ### statistics #### gpa 3.368 #### graded 780 #### counts * 342 * 151 * 159 * 57 * 50 * 11 * 10 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_be7b0773bc9d040384a6a3ce-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_be7b0773bc9d040384a6a3ce-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_be7b0773bc9d040384a6a3ce-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_be7b0773bc9d040384a6a3ce-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_be7b0773bc9d040384a6a3ce-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_be7b0773bc9d040384a6a3ce-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_be7b0773bc9d040384a6a3ce-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_be7b0773bc9d040384a6a3ce-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.367948717948718 #### count 780 #### university ##### size 4298 ##### gpa Percentile 16 ##### count Percentile 84 ##### median Count 170 ##### 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 | 316 | false | | 3.2–3.6 | 1235 | true | | 3.6–4.0 | 2735 | false | #### departments ```json [ { "subject": "MATH", "comparison": { "size": 104, "gpaPercentile": 39, "countPercentile": 76, "medianCount": 218.5, "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": 6, "current": false }, { "range": "2.8–3.2", "count": 27, "current": false }, { "range": "3.2–3.6", "count": 22, "current": true }, { "range": "3.6–4.0", "count": 49, "current": false } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 3.1129032258064515 ##### count 31 ##### university ###### size 695 ###### gpa Percentile 26 ###### count Percentile 1 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 184 | true | | 3.2–3.6 | 256 | false | | 3.6–4.0 | 199 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 17, "gpaPercentile": 81, "countPercentile": 0, "medianCount": 133, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 3, "current": false }, { "range": "2.4–2.8", "count": 8, "current": false }, { "range": "2.8–3.2", "count": 3, "current": true }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1084 ##### term 1084 ##### gpa 3.4479166666666665 ##### count 48 ##### university ###### size 720 ###### gpa Percentile 59 ###### count Percentile 32 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 207 | false | | 3.2–3.6 | 248 | true | | 3.6–4.0 | 217 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 22, "gpaPercentile": 90, "countPercentile": 29, "medianCount": 88.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1094 ##### term 1094 ##### gpa 3.316326530612245 ##### count 49 ##### university ###### size 758 ###### gpa Percentile 44 ###### count Percentile 32 ###### median Count 71 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 35 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 259 | true | | 3.6–4.0 | 236 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 19, "gpaPercentile": 100, "countPercentile": 11, "medianCount": 108, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 2, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 3.2777777777777777 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1114 ##### term 1114 ##### gpa 3.1129032258064515 ##### count 31 ##### university ###### size 804 ###### gpa Percentile 27 ###### count Percentile 3 ###### 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": 80, "countPercentile": 0, "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 } ] } } ] ``` #### 1124 ##### term 1124 ##### gpa 3.3191489361702127 ##### count 47 ##### university ###### size 821 ###### gpa Percentile 41 ###### count Percentile 33 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 39 | false | | 2.8–3.2 | 223 | false | | 3.2–3.6 | 278 | true | | 3.6–4.0 | 280 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 28, "gpaPercentile": 89, "countPercentile": 26, "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": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 3.47 ##### count 50 ##### university ###### size 852 ###### gpa Percentile 54 ###### count Percentile 35 ###### 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": 100, "countPercentile": 20, "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 } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 2.859375 ##### count 32 ##### university ###### size 878 ###### gpa Percentile 6 ###### count Percentile 4 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | true | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 30, "gpaPercentile": 41, "countPercentile": 7, "medianCount": 79, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 19, "current": true }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 3.3823529411764706 ##### count 34 ##### university ###### size 935 ###### gpa Percentile 45 ###### count Percentile 7 ###### 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": "MATH", "comparison": { "size": 33, "gpaPercentile": 94, "countPercentile": 9, "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 3.35 ##### count 50 ##### university ###### size 965 ###### gpa Percentile 38 ###### count Percentile 35 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 32, "gpaPercentile": 84, "countPercentile": 23, "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": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.4186046511627906 ##### count 43 ##### university ###### size 955 ###### gpa Percentile 44 ###### count Percentile 24 ###### 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 | false | | 3.2–3.6 | 332 | true | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 32, "gpaPercentile": 90, "countPercentile": 26, "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": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3 ##### count 36 ##### university ###### size 1010 ###### gpa Percentile 10 ###### count Percentile 13 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | true | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 49, "countPercentile": 14, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 7, "current": false }, { "range": "2.8–3.2", "count": 18, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.3448275862068964 ##### count 58 ##### university ###### size 1040 ###### gpa Percentile 34 ###### count Percentile 42 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | true | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 38, "gpaPercentile": 73, "countPercentile": 41, "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": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.5689655172413794 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1224 ##### term 1224 ##### gpa 3.5 ##### count 37 ##### university ###### size 1171 ###### gpa Percentile 38 ###### count Percentile 16 ###### 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": 88, "countPercentile": 9, "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 } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.5444444444444443 ##### count 45 ##### university ###### size 1188 ###### gpa Percentile 40 ###### count Percentile 30 ###### 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": 80, "countPercentile": 33, "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 } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.4761904761904763 ##### count 42 ##### university ###### size 1241 ###### gpa Percentile 31 ###### count Percentile 26 ###### 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": 76, "countPercentile": 29, "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 3.53125 ##### count 48 ##### university ###### size 1289 ###### gpa Percentile 35 ###### count Percentile 33 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 87, "countPercentile": 24, "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": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.6511627906976742 ##### count 43 ##### university ###### size 1283 ###### gpa Percentile 44 ###### count Percentile 26 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | true | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 42, "gpaPercentile": 88, "countPercentile": 24, "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": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4298 ###### gpa 3.6599169512129595 ###### top Share 81.92066096643725 ###### count 170 ##### MATH ###### size 104 ###### gpa 3.489755928725373 ###### top Share 72.34164691083211 ###### count 218.5 #### terms ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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_bc7acc9f38e7d8108854c8c5", "name": "TULLIA DYMARZ", "count": 93, "terms": [ { "term": "1164", "count": 50, "sections": 1, "gpa": 3.35 }, { "term": "1174", "count": 43, "sections": 1, "gpa": 3.4186046511627906 } ] }, { "uid": "instructor_c0289d403f78c76ec800e7ea", "name": "BRIAN STREET", "count": 92, "terms": [ { "term": "1104", "count": 27, "sections": 1, "gpa": 3.2777777777777777 }, { "term": "1114", "count": 31, "sections": 1, "gpa": 3.1129032258064515 }, { "term": "1154", "count": 34, "sections": 1, "gpa": 3.3823529411764706 } ] }, { "uid": "instructor_18ef1d7d9b98466965984778", "name": "CAGLAR UYANIK", "count": 85, "terms": [ { "term": "1224", "count": 37, "sections": 1, "gpa": 3.5 }, { "term": "1254", "count": 48, "sections": 1, "gpa": 3.53125 } ] }, { "uid": "instructor_b9a630b0e3b3db4a0fe1de98", "name": "GLORIA MARI-BEFFA", "count": 78, "terms": [ { "term": "1074", "count": 31, "sections": 1, "gpa": 3.1129032258064515 }, { "term": "1124", "count": 47, "sections": 1, "gpa": 3.3191489361702127 } ] }, { "uid": "instructor_c4e84539220abff29c5c6b21", "name": "HUNG TRAN", "count": 58, "terms": [ { "term": "1194", "count": 58, "sections": 1, "gpa": 3.3448275862068964 } ] }, { "uid": "instructor_329dbc3efcfc7e5a8a0086b3", "name": "JAMES SIZEMORE", "count": 50, "terms": [ { "term": "1134", "count": 50, "sections": 1, "gpa": 3.47 } ] }, { "uid": "instructor_90a7724b3066e84aa7c1838f", "name": "FEDOR NAZAROV", "count": 49, "terms": [ { "term": "1094", "count": 49, "sections": 1, "gpa": 3.316326530612245 } ] }, { "uid": "instructor_f00d358fd7c1650bfb3e8b33", "name": "ALEXANDER NAGEL", "count": 48, "terms": [ { "term": "1084", "count": 48, "sections": 1, "gpa": 3.4479166666666665 } ] }, { "uid": "instructor_c71686b20443ece4d26594c5", "name": "SHAOMING GUO", "count": 45, "terms": [ { "term": "1234", "count": 45, "sections": 1, "gpa": 3.5444444444444443 } ] }, { "uid": "instructor_7612afaa943ae8e0772b4895", "name": "NICLAS TECHNAU", "count": 43, "terms": [ { "term": "1264", "count": 43, "sections": 1, "gpa": 3.6511627906976742 } ] }, { "uid": "instructor_192e932c9d86d7d925e021f3", "name": "ANDREW ZIMMER", "count": 42, "terms": [ { "term": "1244", "count": 42, "sections": 1, "gpa": 3.4761904761904763 } ] }, { "uid": "instructor_c513d17e5fc9a64193e0c6e5", "name": "STEVEN SAM", "count": 36, "terms": [ { "term": "1184", "count": 36, "sections": 1, "gpa": 3 } ] }, { "uid": "instructor_49a66e28b37e5752a789849c", "name": "LAURENTIU MAXIM", "count": 32, "terms": [ { "term": "1144", "count": 32, "sections": 1, "gpa": 2.859375 } ] }, { "uid": "instructor_e930b3f6ec9d1140d6f286c3", "name": "SERGUEI DENISSOV", "count": 29, "terms": [ { "term": "1204", "count": 29, "sections": 1, "gpa": 3.5689655172413794 } ] } ] ``` ## following | code | title | | --------------- | ---------------------------------------------------------------------- | | ATMOCN 460 | FUNDAMENTALS OF PHYSICAL OCEANOGRAPHY | | BME/MEDPHYS 573 | MATHEMATICAL METHODS IN MEDICAL PHYSICS | | CBE 255 | INTRODUCTION TO CHEMICAL PROCESS MODELING | | CBE 310 | CHEMICAL PROCESS THERMODYNAMICS | | CBE 320 | INTRODUCTORY TRANSPORT PHENOMENA | | ECE 219 | ANALYTICAL METHODS FOR ELECTROMAGNETICS ENGINEERING | | ECE 222 | ELECTRODYNAMICS I | | ECE 334 | STATE SPACE SYSTEMS ANALYSIS | | ECE 377 | FUNDAMENTALS OF ELECTRICAL AND ELECTRO-MECHANICAL POWER CONVERSION | | EMA/EP 471 | INTERMEDIATE PROBLEM SOLVING FOR ENGINEERS | | MATH 321 | APPLIED MATHEMATICAL ANALYSIS 1: VECTOR AND COMPLEX CALCULUS | | MATH 322 | APPLIED MATHEMATICAL ANALYSIS 2: PARTIAL DIFFERENTIAL EQUATIONS | | MATH 415 | APPLIED DYNAMICAL SYSTEMS, CHAOS AND MODELING | | MATH 519 | ORDINARY DIFFERENTIAL EQUATIONS | | MATH 521 | ANALYSIS I | | MATH 531 | PROBABILITY THEORY | | MATH 561 | DIFFERENTIAL GEOMETRY | | MATH 619 | ANALYSIS OF PARTIAL DIFFERENTIAL EQUATIONS | | MATH/STAT 309 | INTRODUCTION TO PROBABILITY AND MATHEMATICAL STATISTICS I | | MATH/STAT 431 | INTRODUCTION TO THE THEORY OF PROBABILITY | | ME 376 | INTRODUCTION TO MECHATRONICS | | ME 473 | ELECTROCHEMICAL ENGINEERING: DEVICES FOR ENERGY CONVERSION AND STORAGE | | MS\&E 331 | TRANSPORT PHENOMENA IN MATERIALS | | MS\&E 660 | MESOSCALE MODELING OF MATERIALS | | PHYSICS 248 | A MODERN INTRODUCTION TO PHYSICS | | PHYSICS 311 | MECHANICS | | PHYSICS 322 | ELECTROMAGNETIC FIELDS | | PHYSICS 623 | ELECTRONIC AIDS TO MEASUREMENT | | STAT 311 | INTRODUCTION TO THEORY AND METHODS OF MATHEMATICAL STATISTICS I | ## projection ### target 1272 ### gpa 3.5546407219821314 ### grades | grade | percentage | | ----- | ------------------- | | A | 52.94566753229848 | | AB | 20.223097816547224 | | B | 18.27527439362335 | | BC | 4.234485386317846 | | C | 3.4963637057877897 | | D | 0.49579565286371563 | | F | 0.32931551256158587 | ### source Terms * 1264 * 1254 * 1244 * 1234 * 1224 ### source Count 215 ### same Season false ### historical Range * 3.4761904761904763 * 3.6511627906976742