# MATH 319: Techniques in Ordinary Differential Equations | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MATH_319) ## 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 b58606ef586c0b841adb765017f63ecf17ee5bbdfaf653e4a9ca45614d42598f ### course id MATH 319 ### course uid course\_1f8e8903c7761a5fe852a4bc ### catalog version id 0ea212135d2bafacf6bf2fa7cdca5f472b0e2135d17756d5dff5cafee3a26bda ### course number 319 ### subjects * MATH ### title TECHNIQUES IN ORDINARY DIFFERENTIAL EQUATIONS ### description Review of linear differential equations; series solution of linear differential equations; boundary value problems; Laplace transforms; possibly numerical methods and two dimensional autonomous systems. ### requirements text MATH 222or graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:600:011645 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id ddb2522745d7f77329f9bc352f7c7014fc36923028500a042338017b423c679d ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MATH 319 teaches techniques for solving linear ordinary differential equations, including series solutions, boundary value problems, Laplace transforms, and numerical methods. ### llm topics * Linear differential equations * Series solutions * Boundary value problems * Laplace transforms * Numerical methods * Two-dimensional autonomous systems ### llm skills * Solving linear differential equations * Applying series solutions to differential equations * Solving boundary value problems * Using Laplace transforms * Applying numerical methods * Analyzing two-dimensional autonomous systems ### llm assumed background * Foundational knowledge of first-order ODEs and calculus techniques ### llm search phrases * ordinary differential equations techniques * Laplace transforms boundary value problems * MATH 319 prerequisites * linear differential equations series solution ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash d8b46f8bf8485ce63eadbd443cec116f63d9498ca7e8a08cd9a374ee7ca324c9 #### course id MATH 319 #### current instructors ```json [ { "instructor_uid": "instructor_2b9bf73a637e6fe4e4c8cadd", "message": "No course-specific reviews available", "name": "Hanbaek Yu", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload Historical reviews of Jessica Lin, Mihaela Ifrim, Xiuxiong Chen: Workload varies from memorizing the textbook to managing a heavy time crunch on tests, with some students noting simple mistakes in homework assignments. ```json { "citations": [ { "instructor_name": "Xiuxiong Chen", "review_date": "2007-01-23 00:32:48 +0000 UTC", "review_id": "c7e40d1454e5b68a93dd2cf3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:791230", "source_review_id": "UmF0aW5nLTEyODA5MTY2", "source_url": "https://www.ratemyprofessors.com/professor/791230", "type": "review" }, { "instructor_name": "Jessica Lin", "review_date": "2015-04-21 03:04:07 +0000 UTC", "review_id": "8b5b3be0f1aa1921fa6733c7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2003430", "source_review_id": "UmF0aW5nLTI0NjM0NjQx", "source_url": "https://www.ratemyprofessors.com/professor/2003430", "type": "review" }, { "instructor_name": "Mihaela Ifrim", "review_date": "2025-04-16 04:37:56 +0000 UTC", "review_id": "b30761e552a753cb537bcd7a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2407195", "source_review_id": "UmF0aW5nLTQwOTUzMTc4", "source_url": "https://www.ratemyprofessors.com/professor/2407195", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Mihaela Ifrim: Mihaela Ifrim receives criticism for frequent homework errors, unclear notation, and an accent that hinders understanding. Reviewers report that missing lectures makes catching up difficult due to these organizational and clarity issues. ```json { "citations": [ { "instructor_name": "Mihaela Ifrim", "review_date": "2025-04-16 04:37:56 +0000 UTC", "review_id": "b30761e552a753cb537bcd7a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2407195", "source_review_id": "UmF0aW5nLTQwOTUzMTc4", "source_url": "https://www.ratemyprofessors.com/professor/2407195", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews highlight clear instruction and predictable exams with instructors like Yao Yao, Matthew Johnston, and Minh Binh Tran. ```json { "citations": [ { "instructor_name": "Yao Yao", "review_date": "2012-12-12 17:27:22 +0000 UTC", "review_id": "47306cca90c432ba3979162c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1780797", "source_review_id": "UmF0aW5nLTIxMDQyMDQ1", "source_url": "https://www.ratemyprofessors.com/professor/1780797", "type": "review" }, { "instructor_name": "Matthew Johnston", "review_date": "2014-05-06 00:36:18 +0000 UTC", "review_id": "a689f8ac6796590388b0f108", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1795962", "source_review_id": "UmF0aW5nLTIzMTcyOTcy", "source_url": "https://www.ratemyprofessors.com/professor/1795962", "type": "review" }, { "instructor_name": "Minh Binh Tran", "review_date": "2017-01-18 17:07:05 +0000 UTC", "review_id": "d97232d3abf709866ad7a7b9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2061976", "source_review_id": "UmF0aW5nLTI3NzUwMTU5", "source_url": "https://www.ratemyprofessors.com/professor/2061976", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.36 GPA, 71.2% A/AB (n=104 letter grades); Fall 2025: 3.62 GPA, 81.0% A/AB (n=116 letter grades); Spring 2026: 3.51 GPA, 74.3% A/AB (n=109 letter grades). ```json { "citations": [ { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of David Camacho, Ismor Fischer, Mihaela Ifrim: Experiences range from easy classes with straightforward tests to frustrating environments where missing lectures makes catching up difficult due to unclear explanations. ```json { "citations": [ { "instructor_name": "David Camacho", "review_date": "2009-07-14 14:20:18 +0000 UTC", "review_id": "688d3efc3d6332a8080efda8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:517821", "source_review_id": "UmF0aW5nLTE2MDM4MTk4", "source_url": "https://www.ratemyprofessors.com/professor/517821", "type": "review" }, { "instructor_name": "Ismor Fischer", "review_date": "2019-10-11 05:05:17 +0000 UTC", "review_id": "0b3cbd184311fff427928044", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:355768", "source_review_id": "UmF0aW5nLTMyMjc4NTI0", "source_url": "https://www.ratemyprofessors.com/professor/355768", "type": "review" }, { "instructor_name": "Mihaela Ifrim", "review_date": "2025-04-16 04:37:56 +0000 UTC", "review_id": "b30761e552a753cb537bcd7a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2407195", "source_review_id": "UmF0aW5nLTQwOTUzMTc4", "source_url": "https://www.ratemyprofessors.com/professor/2407195", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history DAVID H CAMACHO is recorded teaching in Spring 2007, Spring 2009, Fall 2012. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1074", "type": "grade" }, { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1094", "type": "grade" }, { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" } ] } ``` ISMOR FISCHER is recorded teaching in Spring 2019, Fall 2019. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" } ] } ``` JESSICA LIN is recorded teaching in Spring 2015. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" } ] } ``` MATTHEW JOHNSTON is recorded teaching in Fall 2013. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" } ] } ``` MIHAELA IFRIM is recorded teaching in Spring 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" } ] } ``` MIKHAIL FELDMAN is recorded teaching in Fall 2007, Spring 2010, Fall 2010. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1082", "type": "grade" }, { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1104", "type": "grade" }, { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" } ] } ``` MINH BINH TRAN is recorded teaching in Fall 2016. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" } ] } ``` MUSTAFA KALAFAT is recorded teaching in Fall 2009. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1102", "type": "grade" } ] } ``` SHARAD CHANDARANA is recorded teaching in Fall 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2020. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 10, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" }, { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 10, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1134", "type": "grade" }, { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 10, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 10, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 10, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" } ] } ``` XIUXIONG CHEN is recorded teaching in Fall 2006, Fall 2007. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1072", "type": "grade" }, { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1082", "type": "grade" } ] } ``` YAO YAO is recorded teaching in Fall 2012. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 319", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "source_record": { "entity_id": "85dc5e15-56ba-3865-b947-5c7ba3b0c11e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "MATH 222or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 222, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 222", "id": "n1", "kind": "course" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n2", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ---------- | ------------------- | -------------------------------- | -------------------------------- | ------------------------ | | instructor\_2b9bf73a637e6fe4e4c8cadd | enrollment | hlyu36 | netid | source\_identified | Hanbaek Yu | HLYU\@MATH.WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/HANBAEK\_YU | | instructor\_869cdd77fbaa338f2b8e0ccc | enrollment | sbi23 | netid | source\_identified | Shuqi Bi | SBI23\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/SHUQI\_BI | | instructor\_5c7811ebe918eed0b161b859 | enrollment | wlu222 | netid | source\_identified | Wendi Lu | WLU222\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/WENDI\_LU | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:600:011645", "course_id": "MATH 319", "course_uid": "course_1f8e8903c7761a5fe852a4bc", "term_id": "1272", "source_course_id": "011645", "source_subject_id": "600", "title": "Techniques in Ordinary Differential Equations", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring, Summer" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:12552", "term_id": "1272", "source_section_id": "12552", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 140, "enrolled": 119, "waitlisted": 1, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:14420", "term_id": "1272", "source_section_id": "14420", "identity_basis": "class_number", "section_number": "302", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 30, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:15269", "term_id": "1272", "source_section_id": "15269", "identity_basis": "class_number", "section_number": "303", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 30, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:26006", "term_id": "1272", "source_section_id": "26006", "identity_basis": "class_number", "section_number": "304", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 29, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:28117", "term_id": "1272", "source_section_id": "28117", "identity_basis": "class_number", "section_number": "301", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 30, "waitlisted": 1, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_5d47fd39944a27ba3eef69cd", "source": "madgrades", "source_instructor_id": "3568500", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XIUXIONG CHEN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 9, "quality": 2.11, "difficulty": 2.22, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:791230", "source_url": "https://www.ratemyprofessors.com/professor/791230", "match_basis": "exact_name", "observed_at": "2026-09-07 15:58:25.641114+00:00", "courses": { "course_364c50303ed83d1234b4ea51": { "review_count": 1, "quality": 2, "difficulty": 1, "quality_count": 1, "difficulty_count": 1 }, "course_7d3f055b392d74c588d35d0b": { "review_count": 1, "quality": 2, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_1f8e8903c7761a5fe852a4bc": { "review_count": 4, "quality": 1.75, "difficulty": 2.5, "quality_count": 4, "difficulty_count": 4 }, "course_eec4aae06b946a73f1878be4": { "review_count": 3, "quality": 2.67, "difficulty": 2.33, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.178748816239031, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.858, "graded": 314, "counts": [ 98, 24, 76, 29, 49, 23, 15 ], "sections": 18 }, "instructor_url": "/instructors/XIUXIONG_CHEN" }, { "instructor_uid": "instructor_7a8fcd1dc53300aa83aa6f2b", "source": "madgrades", "source_instructor_id": "2600471", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANDREAS SEEGER", "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": 82, "quality": 2.72, "difficulty": 4.22, "quality_count": 82, "difficulty_count": 82, "profile_id": "rmp:394755", "source_url": "https://www.ratemyprofessors.com/professor/394755", "match_basis": "exact_name", "observed_at": "2026-09-07 16:55:35.597114+00:00", "courses": { "course_0dd25611eebe714d971b7bfb": { "review_count": 15, "quality": 2.73, "difficulty": 4.4, "quality_count": 15, "difficulty_count": 15 }, "course_4aa5bbed0c86993f5f0dc832": { "review_count": 3, "quality": 4, "difficulty": 4, "quality_count": 3, "difficulty_count": 3 }, "course_bac5b63415c0e4cd6d5c3848": { "review_count": 3, "quality": 3.33, "difficulty": 4.67, "quality_count": 3, "difficulty_count": 3 }, "course_1f8e8903c7761a5fe852a4bc": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_cc1de60e9953cdd9c469e9a5": { "review_count": 19, "quality": 2.58, "difficulty": 3.95, "quality_count": 19, "difficulty_count": 19 }, "course_6bc496e4640fd08f71e1b041": { "review_count": 8, "quality": 2, "difficulty": 4.88, "quality_count": 8, "difficulty_count": 8 }, "course_8634dde81cc95f6c58014087": { "review_count": 18, "quality": 2.22, "difficulty": 4.17, "quality_count": 18, "difficulty_count": 18 }, "course_364c50303ed83d1234b4ea51": { "review_count": 2, "quality": 5, "difficulty": 4, "quality_count": 2, "difficulty_count": 2 }, "course_eec4aae06b946a73f1878be4": { "review_count": 1, "quality": 2, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 2.9042521144209013, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.283, "graded": 1313, "counts": [ 588, 178, 280, 96, 107, 42, 22 ], "sections": 74 }, "instructor_url": "/instructors/ANDREAS_SEEGER--instructor_7a8fcd1dc53300aa83aa6f2b" }, { "instructor_uid": "instructor_e4125eb75be0a6b2bf55eec3", "source": "madgrades", "source_instructor_id": "3436901", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DAVID H CAMACHO", "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": 2.834, "graded": 1825, "counts": [ 372, 242, 550, 155, 344, 112, 50 ], "sections": 21 }, "instructor_url": "/instructors/DAVID_H_CAMACHO--instructor_e4125eb75be0a6b2bf55eec3" }, { "instructor_uid": "instructor_e936c15acd8f34d76d6168b6", "source": "madgrades", "source_instructor_id": "4109650", "identity_basis": "source_id", "identity_status": "source_identified", "name": "AOBING LI", "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": 24, "quality": 1.38, "difficulty": 3.62, "quality_count": 24, "difficulty_count": 24, "profile_id": "rmp:757277", "source_url": "https://www.ratemyprofessors.com/professor/757277", "match_basis": "exact_name", "observed_at": "2026-09-07 16:54:35.523755+00:00", "courses": { "course_c9bdf631650ccfb896fcfc26": { "review_count": 1, "quality": 2, "difficulty": 1, "quality_count": 1, "difficulty_count": 1 }, "course_0002a781bc9543f3a2ac1a94": { "review_count": 2, 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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": 90, "quality": 2.27, "difficulty": 2.91, "quality_count": 90, "difficulty_count": 90, "profile_id": "rmp:620540", "source_url": "https://www.ratemyprofessors.com/professor/620540", "match_basis": "exact_name", "observed_at": "2026-09-07 16:17:02.153037+00:00", "courses": { "course_dcdb624e3fb8cbaf9a557ab9": { "review_count": 1, "quality": 1, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_0dd25611eebe714d971b7bfb": { "review_count": 5, "quality": 3.2, "difficulty": 2.8, "quality_count": 5, "difficulty_count": 5 }, "course_8634dde81cc95f6c58014087": { "review_count": 57, "quality": 2.3, "difficulty": 2.56, "quality_count": 57, "difficulty_count": 57 }, "course_364c50303ed83d1234b4ea51": { "review_count": 3, "quality": 2.33, "difficulty": 3.67, "quality_count": 3, "difficulty_count": 3 }, 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"instructor_uid": "instructor_2b9bf73a637e6fe4e4c8cadd", "source": "enrollment", "source_instructor_id": "hlyu36", "identity_basis": "netid", "identity_status": "source_identified", "name": "Hanbaek Yu", "email": "HLYU@MATH.WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/HANBAEK_YU" }, { "instructor_uid": "instructor_5c7811ebe918eed0b161b859", "source": "enrollment", "source_instructor_id": "wlu222", "identity_basis": "netid", "identity_status": "source_identified", "name": "Wendi Lu", "email": "WLU222@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/WENDI_LU" }, { "instructor_uid": "instructor_869cdd77fbaa338f2b8e0ccc", "source": "enrollment", "source_instructor_id": "sbi23", "identity_basis": "netid", "identity_status": "source_identified", "name": "Shuqi Bi", "email": 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"satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 106, "source_aliases": [ "MATH 319" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 319", "course_uid": "course_1f8e8903c7761a5fe852a4bc", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Thu Le" ], "a": 78, "ab": 16, "b": 10, "bc": 4, "c": 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": 1, "total": 117, "source_aliases": [ "MATH 319" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 319", "course_uid": "course_1f8e8903c7761a5fe852a4bc", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Thu Le" ], "a": 67, "ab": 14, "b": 9, "bc": 9, "c": 6, "d": 4, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 1, "not_reported": 0, "other": 0, "total": 112, "source_aliases": [ "MATH 319" ] } ] ``` ### statistics #### gpa 3.013 #### graded 5879 #### counts * 1959 * 801 * 1286 * 526 * 791 * 317 * 199 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_1f8e8903c7761a5fe852a4bc-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_1f8e8903c7761a5fe852a4bc-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_1f8e8903c7761a5fe852a4bc-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_1f8e8903c7761a5fe852a4bc-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_1f8e8903c7761a5fe852a4bc-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_1f8e8903c7761a5fe852a4bc-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_1f8e8903c7761a5fe852a4bc-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_1f8e8903c7761a5fe852a4bc-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_1f8e8903c7761a5fe852a4bc-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_1f8e8903c7761a5fe852a4bc-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.0126722231672054 #### count 5879 #### university ##### size 5784 ##### gpa Percentile 2 ##### count Percentile 98 ##### median Count 240.5 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 12 | false | | 2.8–3.2 | 363 | true | | 3.2–3.6 | 1576 | false | | 3.6–4.0 | 3833 | false | #### departments ```json [ { "subject": "MATH", "comparison": { "size": 136, "gpaPercentile": 13, "countPercentile": 92, "medianCount": 272.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 33, "current": true }, { "range": "3.2–3.6", "count": 25, "current": false }, { "range": "3.6–4.0", "count": 74, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 2.717391304347826 ##### count 115 ##### university ###### size 723 ###### gpa Percentile 4 ###### count Percentile 73 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 62 | true | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 306 | false | | 3.6–4.0 | 180 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 21, "gpaPercentile": 40, "countPercentile": 50, "medianCount": 115, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 10, "current": true }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1074 ##### term 1074 ##### gpa 2.7720588235294117 ##### count 136 ##### university ###### size 695 ###### gpa Percentile 7 ###### count Percentile 78 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 53 | true | | 2.8–3.2 | 184 | false | | 3.2–3.6 | 256 | false | | 3.6–4.0 | 199 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 17, "gpaPercentile": 50, "countPercentile": 56, "medianCount": 133, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 3, "current": false }, { "range": "2.4–2.8", "count": 8, "current": true }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1082 ##### term 1082 ##### gpa 2.7083333333333335 ##### count 120 ##### university ###### size 723 ###### gpa Percentile 4 ###### count Percentile 72 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 51 | true | | 2.8–3.2 | 202 | false | | 3.2–3.6 | 265 | false | | 3.6–4.0 | 204 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 20, "gpaPercentile": 37, "countPercentile": 47, "medianCount": 122, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 9, "current": true }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1084 ##### term 1084 ##### gpa 3.2783783783783784 ##### count 185 ##### university ###### size 720 ###### gpa Percentile 42 ###### count Percentile 85 ###### 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": 76, "countPercentile": 71, "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 } ] } } ] ``` #### 1092 ##### term 1092 ##### gpa 2.842767295597484 ##### count 159 ##### university ###### size 732 ###### gpa Percentile 7 ###### count Percentile 81 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 41 | false | | 2.8–3.2 | 208 | true | | 3.2–3.6 | 271 | false | | 3.6–4.0 | 211 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 22, "gpaPercentile": 52, "countPercentile": 67, "medianCount": 131, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 9, "current": false }, { "range": "2.8–3.2", "count": 10, "current": true }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1094 ##### term 1094 ##### gpa 2.869767441860465 ##### count 215 ##### university ###### size 758 ###### gpa Percentile 7 ###### count Percentile 88 ###### median Count 71 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 35 | false | | 2.8–3.2 | 226 | true | | 3.2–3.6 | 259 | false | | 3.6–4.0 | 236 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 19, "gpaPercentile": 44, "countPercentile": 72, "medianCount": 108, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 10, "current": true }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1102 ##### term 1102 ##### gpa 3.043918918918919 ##### count 148 ##### university ###### size 774 ###### gpa Percentile 21 ###### count Percentile 80 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | true | | 3.2–3.6 | 287 | false | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 27, "gpaPercentile": 73, "countPercentile": 69, "medianCount": 76, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 8, "current": false }, { "range": "2.8–3.2", "count": 11, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 3.081730769230769 ##### count 208 ##### university ###### size 793 ###### gpa Percentile 23 ###### count Percentile 89 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | true | | 3.2–3.6 | 294 | false | | 3.6–4.0 | 241 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 23, "gpaPercentile": 59, "countPercentile": 77, "medianCount": 98, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 3, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 10, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 2.8333333333333335 ##### count 159 ##### university ###### size 805 ###### gpa Percentile 7 ###### count Percentile 83 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 218 | true | | 3.2–3.6 | 316 | false | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 36, "countPercentile": 68, "medianCount": 87, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 7, "current": false }, { "range": "2.8–3.2", "count": 12, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1114 ##### term 1114 ##### gpa 3.230952380952381 ##### count 210 ##### university ###### size 804 ###### gpa Percentile 38 ###### count Percentile 90 ###### 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 | false | | 3.2–3.6 | 292 | true | | 3.6–4.0 | 227 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 96, "countPercentile": 80, "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": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 2.8660287081339715 ##### count 209 ##### university ###### size 804 ###### gpa Percentile 8 ###### count Percentile 89 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 47 | false | | 2.8–3.2 | 224 | true | | 3.2–3.6 | 282 | false | | 3.6–4.0 | 248 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 27, "gpaPercentile": 46, "countPercentile": 73, "medianCount": 103, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 9, "current": false }, { "range": "2.8–3.2", "count": 14, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1124 ##### term 1124 ##### gpa 3.037174721189591 ##### count 269 ##### university ###### size 821 ###### gpa Percentile 20 ###### count Percentile 93 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 39 | false | | 2.8–3.2 | 223 | true | | 3.2–3.6 | 278 | false | | 3.6–4.0 | 280 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 28, "gpaPercentile": 74, "countPercentile": 81, "medianCount": 75, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 11, "current": false }, { "range": "2.8–3.2", "count": 12, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 2.9060913705583755 ##### count 197 ##### university ###### size 851 ###### gpa Percentile 8 ###### count Percentile 88 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 40 | false | | 2.8–3.2 | 234 | true | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 25, "gpaPercentile": 50, "countPercentile": 67, "medianCount": 108, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 2.9505494505494507 ##### count 273 ##### university ###### size 852 ###### gpa Percentile 11 ###### count Percentile 94 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 229 | true | | 3.2–3.6 | 304 | false | | 3.6–4.0 | 287 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 48, "countPercentile": 80, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 19, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3 ##### count 278 ##### university ###### size 853 ###### gpa Percentile 14 ###### count Percentile 92 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | true | | 3.2–3.6 | 320 | false | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 31, "gpaPercentile": 50, "countPercentile": 77, "medianCount": 77, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 8, "current": false }, { "range": "2.8–3.2", "count": 10, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 2.670289855072464 ##### count 276 ##### university ###### size 878 ###### gpa Percentile 2 ###### count Percentile 94 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 30 | true | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 30, "gpaPercentile": 14, "countPercentile": 83, "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": true }, { "range": "2.8–3.2", "count": 19, "current": false }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 2.9827586206896552 ##### count 232 ##### university ###### size 918 ###### gpa Percentile 12 ###### count Percentile 91 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 48, "countPercentile": 76, "medianCount": 82, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 3.0328947368421053 ##### count 228 ##### university ###### size 935 ###### gpa Percentile 16 ###### count Percentile 92 ###### median Count 63 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 38 | false | | 2.8–3.2 | 237 | true | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 33, "gpaPercentile": 63, "countPercentile": 84, "medianCount": 69, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 10, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 2.872159090909091 ##### count 176 ##### university ###### size 954 ###### gpa Percentile 5 ###### count Percentile 87 ###### median Count 64.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | true | | 3.2–3.6 | 350 | false | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 14, "countPercentile": 71, "medianCount": 74.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 20, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 2.7895927601809953 ##### count 221 ##### university ###### size 965 ###### gpa Percentile 4 ###### count Percentile 92 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 37 | true | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 32, "gpaPercentile": 32, "countPercentile": 77, "medianCount": 83, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 10, "current": true }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.0056818181818183 ##### count 176 ##### university ###### size 991 ###### gpa Percentile 11 ###### count Percentile 86 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | true | | 3.2–3.6 | 353 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 51, "countPercentile": 71, "medianCount": 66, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 21, "current": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.159375 ##### count 160 ##### university ###### size 955 ###### gpa Percentile 23 ###### count Percentile 84 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 29 | false | | 2.8–3.2 | 224 | true | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 32, "gpaPercentile": 74, "countPercentile": 77, "medianCount": 89, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 9, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.0265486725663715 ##### count 113 ##### university ###### size 1025 ###### gpa Percentile 13 ###### count Percentile 72 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | true | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 57, "countPercentile": 57, "medianCount": 80, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 21, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.043269230769231 ##### count 104 ##### university ###### size 1010 ###### gpa Percentile 13 ###### count Percentile 71 ###### 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": 54, "countPercentile": 60, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 7, "current": false }, { "range": "2.8–3.2", "count": 18, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.0240384615384617 ##### count 104 ##### university ###### size 1077 ###### gpa Percentile 10 ###### count Percentile 70 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | true | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 42, "countPercentile": 55, "medianCount": 99, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 24, "current": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 2.875 ##### count 112 ##### university ###### size 1040 ###### gpa Percentile 4 ###### count Percentile 73 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | true | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 38, "gpaPercentile": 24, "countPercentile": 59, "medianCount": 71.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 18, "current": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.378787878787879 ##### count 66 ##### university ###### size 1102 ###### gpa Percentile 35 ###### count Percentile 48 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 40, "gpaPercentile": 79, "countPercentile": 38, "medianCount": 90.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 24, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.4326923076923075 ##### count 52 ##### university ###### size 1012 ###### gpa Percentile 13 ###### count Percentile 39 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | true | | 3.6–4.0 | 685 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 29, "gpaPercentile": 36, "countPercentile": 21, "medianCount": 83, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 20, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.025 ##### count 60 ##### university ###### size 1111 ###### gpa Percentile 5 ###### count Percentile 43 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | true | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 41, "gpaPercentile": 25, "countPercentile": 38, "medianCount": 87, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 18, "current": true }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.1904761904761907 ##### count 63 ##### university ###### size 1157 ###### gpa Percentile 16 ###### count Percentile 49 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | true | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 45, "countPercentile": 47, "medianCount": 63, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 13, "current": true }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.132911392405063 ##### count 79 ##### university ###### size 1171 ###### gpa Percentile 14 ###### count Percentile 59 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | true | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 52, "countPercentile": 48, "medianCount": 87.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 12, "current": true }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.6180555555555554 ##### count 72 ##### university ###### size 1216 ###### gpa Percentile 47 ###### count Percentile 53 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 86, "countPercentile": 55, "medianCount": 69, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 17, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 2.909090909090909 ##### count 88 ##### university ###### size 1188 ###### gpa Percentile 3 ###### count Percentile 62 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | true | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 41, "gpaPercentile": 23, "countPercentile": 63, "medianCount": 67, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 13, "current": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.1666666666666665 ##### count 117 ##### university ###### size 1295 ###### gpa Percentile 12 ###### count Percentile 73 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | true | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 43, "countPercentile": 64, "medianCount": 80, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 17, "current": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.2045454545454546 ##### count 88 ##### university ###### size 1241 ###### gpa Percentile 13 ###### count Percentile 63 ###### 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": 60, "countPercentile": 64, "medianCount": 68, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 20, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.0304878048780486 ##### count 82 ##### university ###### size 1333 ###### gpa Percentile 5 ###### count Percentile 57 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | true | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 31, "countPercentile": 55, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 20, "current": true }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.360576923076923 ##### count 104 ##### university ###### size 1289 ###### gpa Percentile 21 ###### count Percentile 72 ###### 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": 66, "countPercentile": 63, "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 } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.6206896551724137 ##### count 116 ##### university ###### size 1320 ###### gpa Percentile 41 ###### count Percentile 71 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 88, "countPercentile": 62, "medianCount": 81, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 18, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.5091743119266057 ##### count 109 ##### university ###### size 1283 ###### gpa Percentile 30 ###### count Percentile 72 ###### 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 | true | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 42, "gpaPercentile": 85, "countPercentile": 66, "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": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5784 ###### gpa 3.6736255573368366 ###### top Share 82.68719706118685 ###### count 240.5 ##### MATH ###### size 136 ###### gpa 3.5494544646749766 ###### top Share 75.15568951719919 ###### count 272.5 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### MATH ###### size 21 ###### gpa 2.878188611674867 ###### top Share 40.4748751710427 ###### count 115 ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ###### MATH ###### size 17 ###### gpa 2.821339129045922 ###### top Share 38.66654769268061 ###### count 133 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### MATH ###### size 20 ###### gpa 2.8603540012311925 ###### top Share 39.28661748894661 ###### count 122 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### MATH ###### size 22 ###### gpa 2.977459424628873 ###### top Share 44.52710820759676 ###### count 88.5 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### MATH ###### size 22 ###### gpa 2.8820162698417926 ###### top Share 39.71597770466243 ###### count 131 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### MATH ###### size 19 ###### gpa 2.861322177541941 ###### top Share 40.26350030907326 ###### count 108 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### MATH ###### size 27 ###### gpa 2.936619140855453 ###### top Share 42.28372460948232 ###### count 76 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### MATH ###### size 23 ###### gpa 2.9531575824731964 ###### top Share 43.549837152646596 ###### count 98 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### MATH ###### size 26 ###### gpa 2.9941347625171355 ###### top Share 43.79682105650899 ###### count 87 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### MATH ###### size 26 ###### gpa 2.9090822348911582 ###### top Share 41.14706210117883 ###### count 83.5 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### MATH ###### size 27 ###### gpa 2.898067749128924 ###### top Share 42.09489165698714 ###### count 103 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### MATH ###### size 28 ###### gpa 2.9109864595893504 ###### top Share 42.40580272314707 ###### count 75 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### MATH ###### size 25 ###### gpa 2.9605395515107897 ###### top Share 42.794601137643824 ###### count 108 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### MATH ###### size 26 ###### gpa 2.938004331770204 ###### top Share 42.318323348030226 ###### count 83.5 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### MATH ###### size 31 ###### gpa 3.009040780059457 ###### top Share 45.87481076818359 ###### count 77 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### MATH ###### size 30 ###### gpa 2.926152797086596 ###### top Share 42.17363619414386 ###### count 79 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### MATH ###### size 34 ###### gpa 3.0803080141506425 ###### top Share 49.72677618758506 ###### count 82 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### MATH ###### size 33 ###### gpa 2.9834698949629033 ###### top Share 46.71989715257013 ###### count 69 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### MATH ###### size 36 ###### gpa 3.1059509777204544 ###### top Share 50.071044743474 ###### count 74.5 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### MATH ###### size 32 ###### gpa 2.995223360849456 ###### top Share 46.38098813836469 ###### count 83 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### MATH ###### size 36 ###### gpa 3.098601909983034 ###### top Share 48.67573746500224 ###### count 66 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### MATH ###### size 32 ###### gpa 2.992971960864239 ###### top Share 44.393513280464695 ###### count 89 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### MATH ###### size 36 ###### gpa 3.0839531022443034 ###### top Share 48.116975859522796 ###### count 80 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### MATH ###### size 36 ###### gpa 3.0650838986714333 ###### top Share 47.42689290604571 ###### count 83.5 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### MATH ###### size 39 ###### gpa 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##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### MATH ###### size 39 ###### gpa 3.2083447119296955 ###### top Share 56.75007696473496 ###### count 63 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### MATH ###### size 34 ###### gpa 3.1555898753466907 ###### top Share 53.444319815085976 ###### count 87.5 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### MATH ###### size 43 ###### gpa 3.2486774162409366 ###### top Share 56.56203211471963 ###### count 69 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### MATH ###### size 41 ###### gpa 3.178489266862151 ###### top Share 56.06874885619616 ###### count 67 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### MATH ###### size 43 ###### gpa 3.2449031633350183 ###### top Share 58.03783489438137 ###### count 80 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### MATH ###### size 43 ###### gpa 3.228240949537157 ###### top Share 55.86451059486035 ###### count 68 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### MATH ###### size 43 ###### gpa 3.185692541204979 ###### top Share 54.14175342403773 ###### count 74 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### MATH ###### size 39 ###### gpa 3.180435541912479 ###### top Share 53.878371816747475 ###### count 89 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### MATH ###### size 43 ###### gpa 3.2481769276584003 ###### top Share 56.325967864851854 ###### count 81 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### MATH ###### size 42 ###### gpa 3.13598176627681 ###### top Share 52.25969905887213 ###### count 80 ## instructor Trends ```json [ { "uid": "instructor_09c4b03a9d945d0e457b934c", "name": "VLADIMIR EYDERMAN", "count": 794, "terms": [ { "term": "1114", "count": 210, "sections": 2, "gpa": 3.230952380952381 }, { "term": "1122", "count": 116, "sections": 1, "gpa": 3.0948275862068964 }, { "term": "1124", "count": 195, "sections": 1, "gpa": 3.1769230769230767 }, { "term": "1134", "count": 273, "sections": 2, "gpa": 2.9505494505494507 } ] }, { "uid": "instructor_d6ae5bf489a32285b7c8c1c7", "name": "SERGEY BOLOTIN", "count": 329, "terms": [ { "term": "1084", "count": 73, "sections": 1, "gpa": 2.910958904109589 }, { "term": "1112", "count": 77, "sections": 1, "gpa": 2.9220779220779223 }, { 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"sections": 1, "gpa": 3.0714285714285716 } ] }, { "uid": "instructor_8b3516a7a00199e1efda9798", "name": "RONALD W DICKEY", "count": 70, "terms": [ { "term": "1092", "count": 70, "sections": 1, "gpa": 2.7785714285714285 } ] }, { "uid": "instructor_76f9c7d76a0cb5d9c1ddc816", "name": "BING WANG", "count": 65, "terms": [ { "term": "1164", "count": 65, "sections": 1, "gpa": 2.5615384615384613 } ] }, { "uid": "instructor_e936c15acd8f34d76d6168b6", "name": "AOBING LI", "count": 57, "terms": [ { "term": "1074", "count": 57, "sections": 1, "gpa": 2.763157894736842 } ] } ] ``` ## following | code | title | | --------------- | ---------------------------------------------------------------------- | | ASTRON 590 | ASTRODYNAMICS | | ATMOCN 460 | FUNDAMENTALS OF PHYSICAL OCEANOGRAPHY | | BME 330 | ENGINEERING PRINCIPLES OF MOLECULES, CELLS, AND TISSUES | | BME 520 | STEM CELL BIOENGINEERING | | BME 556 | SYSTEMS BIOLOGY: MAMMALIAN SIGNALING NETWORKS | | BME/MEDPHYS 573 | MATHEMATICAL METHODS IN MEDICAL PHYSICS | | BME/MEDPHYS 578 | NON-IONIZING DIAGNOSTIC IMAGING | | CBE 255 | INTRODUCTION TO CHEMICAL PROCESS MODELING | | CBE 320 | INTRODUCTORY TRANSPORT PHENOMENA | | ECE 334 | STATE SPACE SYSTEMS ANALYSIS | | EMA/EP 471 | INTERMEDIATE PROBLEM SOLVING FOR ENGINEERS | | EMA/EP 548 | ENGINEERING ANALYSIS II | | EP 476 | INTRODUCTION TO SCIENTIFIC COMPUTING FOR ENGINEERING PHYSICS | | MATH 321 | APPLIED MATHEMATICAL ANALYSIS 1: VECTOR AND COMPLEX CALCULUS | | MATH 415 | APPLIED DYNAMICAL SYSTEMS, CHAOS AND MODELING | | MATH 619 | ANALYSIS OF PARTIAL DIFFERENTIAL EQUATIONS | | ME 340 | DYNAMIC SYSTEMS | | ME 363 | FLUID DYNAMICS | | ME 376 | INTRODUCTION TO MECHATRONICS | | ME 446 | INTRODUCTION TO FEEDBACK CONTROL | | ME 473 | ELECTROCHEMICAL ENGINEERING: DEVICES FOR ENERGY CONVERSION AND STORAGE | | MS\&E 331 | TRANSPORT PHENOMENA IN MATERIALS | | MS\&E 660 | MESOSCALE MODELING OF MATERIALS | | NE 405 | NUCLEAR REACTOR THEORY | ## projection ### target 1272 ### interval #### lower 2.86 #### upper 3.82 #### coverage 80 #### terms 8 ### gpa 3.3409715783570357 ### grades | grade | percentage | | ----- | ------------------ | | A | 49.64142715233648 | | AB | 13.735808565376287 | | B | 14.827924331048518 | | BC | 7.3364784803408485 | | C | 11.124403457372779 | | D | 2.3823431387973724 | | F | 0.951614874727702 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 450 ### same Season true ### historical Range * 3.0304878048780486 * 3.620689655172414 ### backtest #### terms 8 #### gpa Error 0.2342321487203784 #### mix Error 21.60717514759093