# ASIANAM/SOC 220: Ethnic Movements in the United States | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ASIANAM_SOC_220) ## 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 79738296485f88dafdd9846440207b0d47cdba39f75e5de1a55c7b7a11ad7f11 ### course id ASIANAM/SOC 220 ### course uid course\_54405f70a70bfefd6487b1f6 ### catalog version id 4ba4ed285e7be50df4b648d8be24275808eb25ba0dc98c8751e8d5e9b75e4733 ### course number 220 ### subjects * ASIANAM * SOC ### title ETHNIC MOVEMENTS IN THE UNITED STATES ### description Sociological analysis of historical and recent ethnic/racial conflict and movements in the U.S., including the relations between European Americans, African Americans, Mexican Americans, Native Americans, and Asian Americans, with additional material on other groups and relations. ### requirements text Satisfied Communications A ### credits min 3 ### credits max 4 ### credit offering ids * 1272:184:017545 * 1272:900:017545 ### llm job id enrich-ecd149b6a6e0877fce2f3d1c ### llm output id fdf8707f878c9da41f0f2de8e793d4d94e5b33bec11eabeaf8dc3297ce0e5381 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Sociological analysis of historical and recent ethnic/racial conflict and movements in the U.S., focusing on relations between major racial and ethnic groups. ### llm topics * Inter-group relations among European, African, Mexican, Native, and Asian Americans * Ethnic and racial conflict and social movements ### llm skills None recorded. ### llm assumed background None recorded. ### llm search phrases * ethnic movements US sociology * racial conflict American history * Asian American African American relations * sociological analysis ethnic groups ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash bb2acdb5be6efe2f5033e071af174d6867fac5ef6eaefb13d402e58980c86749 #### course id ASIANAM/SOC 220 #### current instructors ```json [ { "instructor_uid": "instructor_502fa09848de907c207ff6eb", "message": null, "name": "Natalia Savelyeva", "review_status": "supported", "rmp_instructor_id": "rmp:3035857", "summary": [ { "citations": [ { "instructor_name": "Natalia Savelyeva", "review_date": "2026-01-29 23:47:20 +0000 UTC", "review_id": "de4ef583262e49efab13753b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3035857", "source_review_id": "UmF0aW5nLTQyNTY1NjY1", "source_url": "https://www.ratemyprofessors.com/professor/3035857", "type": "review" } ], "text": "Natalia Savelyeva's lectures are described as boring with disorganized slides, though the course content remains interesting. Students note a heavy workload characterized by numerous assignments and writing tasks." }, { "citations": [ { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.81 GPA, 93.2% A/AB (n=74 letter grades); Fall 2025: 3.69 GPA, 88.9% A/AB (n=81 letter grades); Spring 2026: 3.62 GPA, 86.3% A/AB (n=73 letter grades)." } ] } ] ``` #### difficulty workload Students face a heavy workload characterized by a large number of assignments and writing tasks. ```json { "citations": [ { "instructor_name": "Natalia Savelyeva", "review_date": "2026-01-29 23:47:20 +0000 UTC", "review_id": "de4ef583262e49efab13753b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3035857", "source_review_id": "UmF0aW5nLTQyNTY1NjY1", "source_url": "https://www.ratemyprofessors.com/professor/3035857", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Pamela Oliver describe the course as fulfilling requirements with no exams but heavy busywork and rigid rules. While some found lectures engaging, others criticized them as boring or irrelevant. Reviewers also noted mandatory attendance and long lectures. One review suggested a specific TA for a better experience. ```json { "citations": [ { "instructor_name": "Pamela Oliver", "review_date": "2007-07-31 16:01:27 +0000 UTC", "review_id": "0ae9f5ced9c0cddb076bb125", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:987309", "source_review_id": "UmF0aW5nLTEzMzY4Mzc5", "source_url": "https://www.ratemyprofessors.com/professor/987309", "type": "review" }, { "instructor_name": "Pamela Oliver", "review_date": "2009-11-11 11:52:00 +0000 UTC", "review_id": "c1755f312872cfe016b6287c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:987309", "source_review_id": "UmF0aW5nLTE2MzQ5Mjk2", "source_url": "https://www.ratemyprofessors.com/professor/987309", "type": "review" }, { "instructor_name": "Pamela Oliver", "review_date": "2012-01-21 16:08:07 +0000 UTC", "review_id": "5fa4964322b809f65e6c5010", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:987309", "source_review_id": "UmF0aW5nLTE5NzU1NzU1", "source_url": "https://www.ratemyprofessors.com/professor/987309", "type": "review" }, { "instructor_name": "Pamela Oliver", "review_date": "2013-05-27 15:41:39 +0000 UTC", "review_id": "80238bc6e1efd7561b91d3f9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:987309", "source_review_id": "UmF0aW5nLTIxODMyMDI3", "source_url": "https://www.ratemyprofessors.com/professor/987309", "type": "review" }, { "instructor_name": "Pamela Oliver", "review_date": "2015-07-08 22:23:42 +0000 UTC", "review_id": "0938c9294ec58cb8122f2eb4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:987309", "source_review_id": "UmF0aW5nLTI1MDI2ODkw", "source_url": "https://www.ratemyprofessors.com/professor/987309", "type": "review" }, { "instructor_name": "Pamela Oliver", "review_date": "2018-03-14 17:03:42 +0000 UTC", "review_id": "1855adc6c1edcc008118a977", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:987309", "source_review_id": "UmF0aW5nLTI5NjUzNDYz", "source_url": "https://www.ratemyprofessors.com/professor/987309", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Natalia Savelyeva teaches a course with interesting content, though lectures are described as boring and slides disorganized. ```json { "citations": [ { "instructor_name": "Natalia Savelyeva", "review_date": "2026-01-29 23:47:20 +0000 UTC", "review_id": "de4ef583262e49efab13753b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3035857", "source_review_id": "UmF0aW5nLTQyNTY1NjY1", "source_url": "https://www.ratemyprofessors.com/professor/3035857", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.81 GPA, 93.2% A/AB (n=74 letter grades); Fall 2025: 3.69 GPA, 88.9% A/AB (n=81 letter grades); Spring 2026: 3.62 GPA, 86.3% A/AB (n=73 letter grades). ```json { "citations": [ { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience The course content is engaging, but the delivery suffers from disorganized materials and unengaging lectures. ```json { "citations": [ { "instructor_name": "Natalia Savelyeva", "review_date": "2026-01-29 23:47:20 +0000 UTC", "review_id": "de4ef583262e49efab13753b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3035857", "source_review_id": "UmF0aW5nLTQyNTY1NjY1", "source_url": "https://www.ratemyprofessors.com/professor/3035857", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history CABELL GATHMAN is recorded teaching in Fall 2021, Spring 2022, Spring 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" } ] } ``` CHAEYOON LIM is recorded teaching in Spring 2009. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1094", "type": "grade" } ] } ``` NATALIA SAVELYEVA is recorded teaching in Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` PAMELA OLIVER is recorded teaching in Fall 2006, Spring 2007, Fall 2007, Spring 2008, Fall 2009, Spring 2010, Fall 2010, Fall 2011, Spring 2012, Fall 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2017, Spring 2018, Fall 2018. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1072", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1074", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1082", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1084", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1102", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1104", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1124", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1134", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "ASIANAM/SOC 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "source_record": { "entity_id": "929435b0-7647-3b99-acaf-c782b7c9ed9a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Satisfied Communications A", "course": null, "evidence": "Satisfied Communications A", "id": "n0", "kind": "condition" } ] ``` #### notes * Communications A is an unlinked course mention; identity and logic require review. #### root n0 #### status needs\_review ### instructors ```json [ { "instructor_uid": "instructor_a0394cc77a7cc2cd405d8088", "source": "enrollment", "source_instructor_id": "jlee739", "identity_basis": "netid", "identity_status": "source_identified", "name": "Justin Lee", "email": "JLEE739@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/JUSTIN_LEE" }, { "instructor_uid": "instructor_502fa09848de907c207ff6eb", "source": "enrollment", "source_instructor_id": "nsavelyeva", "identity_basis": "netid", "identity_status": "source_identified", "name": "Natalia Savelyeva", "email": "NSAVELYEVA@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 9, "quality": 3.56, "difficulty": 2.78, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:3035857", "source_url": "https://www.ratemyprofessors.com/professor/3035857", "match_basis": "exact_name", "observed_at": "2026-09-07 16:14:37.185024+00:00", "courses": { "course_54405f70a70bfefd6487b1f6": { "review_count": 1, "quality": 3, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_30c66c328548389f02e203ef": { "review_count": 1, "quality": 4, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.628748816239031, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/NATALIA_SAVELYEVA" }, { "instructor_uid": "instructor_5722a64d513b4592ab228e26", "source": "enrollment", "source_instructor_id": "miralao", "identity_basis": "netid", "identity_status": "source_identified", "name": "Sidney Miralao", "email": "MIRALAO@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/SIDNEY_MIRALAO" }, { "instructor_uid": "instructor_471721eb4bae5012d96ccb8c", "source": "enrollment", "source_instructor_id": "yma345", "identity_basis": "netid", "identity_status": "source_identified", "name": "Yuchen Ma", "email": "YMA345@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/YUCHEN_MA" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:184:017545", "course_id": "ASIANAM/SOC 220", "course_uid": "course_54405f70a70bfefd6487b1f6", "term_id": "1272", "source_course_id": "017545", "source_subject_id": "184", "title": "Ethnic Movements in the United States", "credits_min": 3, "credits_max": 4, "typically_offered": "Fall, Spring" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:900:017545", "course_id": "ASIANAM/SOC 220", "course_uid": "course_54405f70a70bfefd6487b1f6", "term_id": "1272", "source_course_id": "017545", "source_subject_id": "900", "title": "Ethnic Movements in the United States", "credits_min": 3, "credits_max": 4, "typically_offered": "Fall, Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:22813", "term_id": "1272", "source_section_id": "22813", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 87, "enrolled": 22, "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:1272:22814", "term_id": "1272", "source_section_id": "22814", "identity_basis": "class_number", "section_number": "301", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 15, "enrolled": 6, "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:1272:22815", "term_id": "1272", "source_section_id": "22815", "identity_basis": "class_number", "section_number": "302", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 15, "enrolled": 4, "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:1272:22816", "term_id": "1272", "source_section_id": "22816", "identity_basis": "class_number", "section_number": "303", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 15, "enrolled": 2, "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:1272:22817", "term_id": "1272", "source_section_id": "22817", "identity_basis": "class_number", "section_number": "304", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 15, "enrolled": 5, "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:1272:22818", "term_id": "1272", "source_section_id": "22818", "identity_basis": "class_number", "section_number": "305", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 15, "enrolled": 2, "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:1272:22819", "term_id": "1272", "source_section_id": "22819", "identity_basis": "class_number", "section_number": "306", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 15, "enrolled": 3, "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:1272:22805", "term_id": "1272", "source_section_id": "22805", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 90, "enrolled": 64, "waitlisted": 3, "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:1272:22806", "term_id": "1272", "source_section_id": "22806", "identity_basis": "class_number", "section_number": "301", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 15, "enrolled": 9, "waitlisted": 2, "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:1272:22807", "term_id": "1272", "source_section_id": "22807", "identity_basis": "class_number", "section_number": "302", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 15, "enrolled": 11, "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:1272:22808", "term_id": "1272", "source_section_id": "22808", "identity_basis": "class_number", "section_number": "303", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 15, "enrolled": 13, "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:1272:22809", "term_id": "1272", "source_section_id": "22809", "identity_basis": "class_number", "section_number": "304", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 15, "enrolled": 9, "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:1272:22810", "term_id": "1272", "source_section_id": "22810", "identity_basis": "class_number", "section_number": "305", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 15, "enrolled": 13, "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:1272:22811", "term_id": "1272", "source_section_id": "22811", "identity_basis": "class_number", "section_number": "306", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 15, "enrolled": 9, "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_588bddce29e0dc01a367426d", "source": "madgrades", "source_instructor_id": "2601946", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PAMELA OLIVER", "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": 19, "quality": 3.42, "difficulty": 2.26, "quality_count": 19, "difficulty_count": 19, "profile_id": "rmp:987309", "source_url": "https://www.ratemyprofessors.com/professor/987309", "match_basis": "exact_name", "observed_at": "2026-09-07 16:12:52.672269+00:00", "courses": { "course_54405f70a70bfefd6487b1f6": { "review_count": 17, "quality": 3.35, "difficulty": 2.29, "quality_count": 17, "difficulty_count": 17 }, "course_8c0f7542356f64346bde176d": { "review_count": 1, "quality": 3, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.542915786434152, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.45, "graded": 2237, "counts": [ 799, 874, 335, 131, 49, 32, 17 ], "sections": 105 }, "instructor_url": "/instructors/PAMELA_OLIVER--instructor_588bddce29e0dc01a367426d" }, { "instructor_uid": "instructor_d4bee1556de42c67e2f3970c", "source": "madgrades", "source_instructor_id": "4461490", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHAEYOON LIM", "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": 30, "quality": 4, "difficulty": 2.97, "quality_count": 30, "difficulty_count": 30, "profile_id": "rmp:1197389", "source_url": "https://www.ratemyprofessors.com/professor/1197389", "match_basis": "exact_name", "observed_at": "2026-09-07 16:49:20.501287+00:00", "courses": { "course_8c0f7542356f64346bde176d": { "review_count": 13, "quality": 4.15, "difficulty": 2.62, "quality_count": 13, "difficulty_count": 13 }, "course_dd2827718d9254cf91326619": { "review_count": 9, "quality": 4.22, "difficulty": 3.11, "quality_count": 9, "difficulty_count": 9 }, "course_060a4c992f0dc2ef8f3f277f": { "review_count": 3, "quality": 5, "difficulty": 4.33, "quality_count": 3, "difficulty_count": 3 }, "course_54405f70a70bfefd6487b1f6": { "review_count": 2, 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"difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_30c66c328548389f02e203ef": { "review_count": 1, "quality": 4, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.628748816239031, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.623, "graded": 1040, "counts": [ 591, 268, 112, 36, 18, 4, 11 ], "sections": 20 }, "instructor_url": "/instructors/NATALIA_SAVELYEVA--instructor_1242f3dd0222ef1de5a2e788" }, { "instructor_uid": "instructor_471721eb4bae5012d96ccb8c", "source": "enrollment", "source_instructor_id": "yma345", "identity_basis": "netid", "identity_status": "source_identified", "name": "Yuchen Ma", "email": "YMA345@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/YUCHEN_MA" }, { "instructor_uid": "instructor_502fa09848de907c207ff6eb", "source": "enrollment", "source_instructor_id": "nsavelyeva", "identity_basis": "netid", "identity_status": "source_identified", "name": "Natalia Savelyeva", "email": "NSAVELYEVA@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 9, "quality": 3.56, "difficulty": 2.78, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:3035857", "source_url": "https://www.ratemyprofessors.com/professor/3035857", "match_basis": "exact_name", "observed_at": "2026-09-07 16:14:37.185024+00:00", "courses": { "course_54405f70a70bfefd6487b1f6": { "review_count": 1, "quality": 3, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_30c66c328548389f02e203ef": { "review_count": 1, "quality": 4, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.628748816239031, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/NATALIA_SAVELYEVA" }, { "instructor_uid": "instructor_5722a64d513b4592ab228e26", "source": "enrollment", "source_instructor_id": "miralao", "identity_basis": "netid", "identity_status": "source_identified", "name": "Sidney Miralao", "email": "MIRALAO@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/SIDNEY_MIRALAO" }, { "instructor_uid": "instructor_a0394cc77a7cc2cd405d8088", "source": "enrollment", "source_instructor_id": "jlee739", "identity_basis": "netid", "identity_status": "source_identified", "name": "Justin Lee", "email": "JLEE739@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/JUSTIN_LEE" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIANAM/SOC 220", "course_uid": "course_54405f70a70bfefd6487b1f6", 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"source_aliases": [ "ASIANAM/SOC 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIANAM/SOC 220", "course_uid": "course_54405f70a70bfefd6487b1f6", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Pamela Oliver" ], "a": 47, "ab": 22, "b": 8, "bc": 4, "c": 2, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 84, "source_aliases": [ "ASIANAM/SOC 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIANAM/SOC 220", "course_uid": "course_54405f70a70bfefd6487b1f6", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Pamela Oliver" ], "a": 47, "ab": 25, "b": 1, "bc": 5, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 1, "other": 2, "total": 84, "source_aliases": [ "ASIANAM/SOC 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIANAM/SOC 220", "course_uid": "course_54405f70a70bfefd6487b1f6", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "BENJAMIN WITKOVSKY" ], "a": 57, "ab": 14, "b": 3, "bc": 1, "c": 1, "d": 0, "f": 0, "satisfactory": 6, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 82, "source_aliases": [ "ASIANAM/SOC 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIANAM/SOC 220", "course_uid": "course_54405f70a70bfefd6487b1f6", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Cabell Gathman" ], "a": 31, "ab": 27, "b": 9, "bc": 6, "c": 5, "d": 3, "f": 4, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 85, "source_aliases": [ "ASIANAM/SOC 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIANAM/SOC 220", "course_uid": "course_54405f70a70bfefd6487b1f6", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Cabell Gathman" ], "a": 55, "ab": 13, "b": 7, "bc": 3, "c": 3, "d": 3, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 87, "source_aliases": [ "ASIANAM/SOC 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIANAM/SOC 220", "course_uid": "course_54405f70a70bfefd6487b1f6", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Emma-Claire Lasaine" ], "a": 41, "ab": 25, "b": 11, "bc": 4, "c": 2, "d": 1, "f": 2, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 87, "source_aliases": [ "ASIANAM/SOC 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIANAM/SOC 220", "course_uid": "course_54405f70a70bfefd6487b1f6", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Emma-Claire Lasaine" ], "a": 33, "ab": 30, "b": 7, "bc": 1, "c": 2, "d": 3, "f": 5, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 81, "source_aliases": [ "ASIANAM/SOC 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIANAM/SOC 220", "course_uid": "course_54405f70a70bfefd6487b1f6", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Emma-Claire Lasaine" ], "a": 22, "ab": 32, "b": 9, "bc": 6, "c": 2, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 73, "source_aliases": [ "ASIANAM/SOC 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIANAM/SOC 220", "course_uid": "course_54405f70a70bfefd6487b1f6", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Cabell Gathman" ], "a": 23, "ab": 23, "b": 19, "bc": 9, "c": 5, "d": 3, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 85, "source_aliases": [ "ASIANAM/SOC 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIANAM/SOC 220", "course_uid": "course_54405f70a70bfefd6487b1f6", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Natalia Savelyeva" ], "a": 27, "ab": 27, "b": 10, "bc": 6, "c": 0, "d": 0, "f": 3, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 3, "no_work": 0, "not_reported": 0, "other": 0, "total": 78, "source_aliases": [ "ASIANAM/SOC 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIANAM/SOC 220", "course_uid": "course_54405f70a70bfefd6487b1f6", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Natalia Savelyeva" ], "a": 55, "ab": 14, "b": 3, "bc": 0, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 74, "source_aliases": [ "ASIANAM/SOC 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIANAM/SOC 220", "course_uid": "course_54405f70a70bfefd6487b1f6", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Natalia Savelyeva" ], "a": 53, "ab": 19, "b": 4, "bc": 1, "c": 3, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 2, "not_reported": 0, "other": 0, "total": 83, "source_aliases": [ "ASIANAM/SOC 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIANAM/SOC 220", "course_uid": "course_54405f70a70bfefd6487b1f6", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Natalia Savelyeva" ], "a": 44, "ab": 19, "b": 2, "bc": 5, "c": 1, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 73, "source_aliases": [ "ASIANAM/SOC 220" ] } ] ``` ### statistics #### gpa 3.434 #### graded 2855 #### counts * 1097 * 1034 * 387 * 174 * 77 * 47 * 39 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_54405f70a70bfefd6487b1f6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_54405f70a70bfefd6487b1f6-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_54405f70a70bfefd6487b1f6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_54405f70a70bfefd6487b1f6-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_54405f70a70bfefd6487b1f6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_54405f70a70bfefd6487b1f6-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_54405f70a70bfefd6487b1f6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_54405f70a70bfefd6487b1f6-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_54405f70a70bfefd6487b1f6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_54405f70a70bfefd6487b1f6-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.4339754816112085 #### count 2855 #### university ##### size 5646 ##### gpa Percentile 19 ##### count Percentile 95 ##### median Count 208 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 362 | false | | 3.2–3.6 | 1561 | true | | 3.6–4.0 | 3712 | false | #### departments ```json [ { "subject": "ASIANAM", "comparison": { "size": 24, "gpaPercentile": 13, "countPercentile": 100, "medianCount": 455.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 16, "current": false } ] } }, { "subject": "SOC", "comparison": { "size": 109, "gpaPercentile": 31, "countPercentile": 90, "medianCount": 227, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 46, "current": true }, { "range": "3.6–4.0", "count": 52, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.3934426229508197 ##### count 61 ##### university ###### size 723 ###### gpa Percentile 56 ###### count Percentile 45 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 62 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 306 | true | | 3.6–4.0 | 180 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 27, "gpaPercentile": 46, "countPercentile": 35, "medianCount": 88, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1074 ##### term 1074 ##### gpa 3.3211920529801326 ##### count 151 ##### university ###### size 695 ###### gpa Percentile 47 ###### count Percentile 80 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 184 | false | | 3.2–3.6 | 256 | true | | 3.6–4.0 | 199 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 19, "gpaPercentile": 56, "countPercentile": 56, "medianCount": 132, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1082 ##### term 1082 ##### gpa 3.369565217391304 ##### count 92 ##### university ###### size 723 ###### gpa Percentile 52 ###### count Percentile 64 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 51 | false | | 2.8–3.2 | 202 | false | | 3.2–3.6 | 265 | true | | 3.6–4.0 | 204 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 27, "gpaPercentile": 50, "countPercentile": 38, "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": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 18, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1084 ##### term 1084 ##### gpa 3.418300653594771 ##### count 153 ##### university ###### size 720 ###### gpa Percentile 56 ###### 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 | 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": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 22, "gpaPercentile": 71, "countPercentile": 57, "medianCount": 109.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1094 ##### term 1094 ##### gpa 3.280701754385965 ##### count 114 ##### university ###### size 758 ###### gpa Percentile 41 ###### count Percentile 72 ###### median Count 71 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 35 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 259 | true | | 3.6–4.0 | 236 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 24, "gpaPercentile": 35, "countPercentile": 61, "medianCount": 95.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1102 ##### term 1102 ##### gpa 3.581967213114754 ##### count 61 ##### university ###### size 774 ###### gpa Percentile 69 ###### count Percentile 44 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | false | | 3.2–3.6 | 287 | true | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 28, "gpaPercentile": 70, "countPercentile": 33, "medianCount": 91, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 3.4186046511627906 ##### count 86 ##### university ###### size 793 ###### gpa Percentile 52 ###### count Percentile 63 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | false | | 3.2–3.6 | 294 | true | | 3.6–4.0 | 241 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 23, "gpaPercentile": 64, "countPercentile": 41, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 3.3793103448275863 ##### count 87 ##### university ###### size 805 ###### gpa Percentile 51 ###### count Percentile 63 ###### 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 | false | | 3.2–3.6 | 316 | true | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 24, "gpaPercentile": 57, "countPercentile": 39, "medianCount": 91.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.4482758620689653 ##### count 116 ##### university ###### size 804 ###### gpa Percentile 58 ###### count Percentile 73 ###### 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 | false | | 3.2–3.6 | 282 | true | | 3.6–4.0 | 248 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 25, "gpaPercentile": 79, "countPercentile": 67, "medianCount": 94, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1124 ##### term 1124 ##### gpa 3.228448275862069 ##### count 116 ##### university ###### size 821 ###### gpa Percentile 34 ###### count Percentile 75 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 39 | false | | 2.8–3.2 | 223 | false | | 3.2–3.6 | 278 | true | | 3.6–4.0 | 280 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 22, "gpaPercentile": 38, "countPercentile": 52, "medianCount": 113, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 3.269230769230769 ##### count 91 ##### university ###### size 851 ###### gpa Percentile 39 ###### count Percentile 64 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 40 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 303 | true | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 28, "gpaPercentile": 52, "countPercentile": 48, "medianCount": 91, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 3.419047619047619 ##### count 105 ##### university ###### size 852 ###### gpa Percentile 50 ###### 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 | 2 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 304 | true | | 3.6–4.0 | 287 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 26, "gpaPercentile": 64, "countPercentile": 56, "medianCount": 92.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 17, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.2901234567901234 ##### count 81 ##### university ###### size 853 ###### gpa Percentile 40 ###### count Percentile 60 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | false | | 3.2–3.6 | 320 | true | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 29, "gpaPercentile": 54, "countPercentile": 54, "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": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 3.2467532467532467 ##### count 77 ##### university ###### size 878 ###### gpa Percentile 36 ###### count Percentile 58 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | true | | 3.6–4.0 | 299 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 21, "gpaPercentile": 30, "countPercentile": 40, "medianCount": 90, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.2718446601941746 ##### count 103 ##### university ###### size 918 ###### gpa Percentile 36 ###### count Percentile 71 ###### 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 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 25, "gpaPercentile": 54, "countPercentile": 46, "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": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 3.5060975609756095 ##### count 82 ##### university ###### size 935 ###### gpa Percentile 56 ###### count Percentile 61 ###### median Count 63 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 38 | false | | 2.8–3.2 | 237 | false | | 3.2–3.6 | 326 | true | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 18, "gpaPercentile": 100, "countPercentile": 29, "medianCount": 106.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.7962962962962963 ##### count 54 ##### university ###### size 954 ###### gpa Percentile 81 ###### count Percentile 40 ###### 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 | false | | 3.2–3.6 | 350 | false | | 3.6–4.0 | 345 | true | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 26, "gpaPercentile": 92, "countPercentile": 20, "medianCount": 90, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.552380952380952 ##### count 105 ##### university ###### size 965 ###### gpa Percentile 56 ###### count Percentile 73 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 22, "gpaPercentile": 67, "countPercentile": 71, "medianCount": 73.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.5481927710843375 ##### count 83 ##### university ###### size 1025 ###### gpa Percentile 55 ###### count Percentile 58 ###### 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 | false | | 3.2–3.6 | 369 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 23, "gpaPercentile": 68, "countPercentile": 32, "medianCount": 94, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.619047619047619 ##### count 84 ##### university ###### size 1010 ###### gpa Percentile 61 ###### count Percentile 59 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 26, "gpaPercentile": 72, "countPercentile": 56, "medianCount": 79.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.6875 ##### count 80 ##### university ###### size 1077 ###### gpa Percentile 65 ###### count Percentile 58 ###### 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 | false | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | true | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 25, "gpaPercentile": 83, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.8223684210526314 ##### count 76 ##### university ###### size 1012 ###### gpa Percentile 61 ###### count Percentile 58 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 20, "gpaPercentile": 68, "countPercentile": 37, "medianCount": 84, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.2176470588235295 ##### count 85 ##### university ###### size 1157 ###### gpa Percentile 18 ###### 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 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | true | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 28, "gpaPercentile": 22, "countPercentile": 56, "medianCount": 75.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.4827586206896552 ##### count 87 ##### university ###### size 1171 ###### gpa Percentile 37 ###### count Percentile 62 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | true | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 29, "gpaPercentile": 54, "countPercentile": 61, "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": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 17, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.4825581395348837 ##### count 86 ##### university ###### size 1216 ###### gpa Percentile 35 ###### count Percentile 59 ###### 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 | true | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 28, "gpaPercentile": 33, "countPercentile": 56, "medianCount": 76.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.302469135802469 ##### count 81 ##### university ###### size 1188 ###### gpa Percentile 22 ###### count Percentile 59 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | true | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 30, "gpaPercentile": 21, "countPercentile": 59, "medianCount": 70.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 15, "current": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.3835616438356166 ##### count 73 ##### university ###### size 1295 ###### gpa Percentile 25 ###### count Percentile 53 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | true | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 32, "gpaPercentile": 26, "countPercentile": 52, "medianCount": 72.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 15, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.1547619047619047 ##### count 84 ##### university ###### size 1241 ###### gpa Percentile 11 ###### count Percentile 61 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | true | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 26, "gpaPercentile": 12, "countPercentile": 52, "medianCount": 82.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.3904109589041096 ##### count 73 ##### university ###### size 1333 ###### gpa Percentile 21 ###### count Percentile 52 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 29, "gpaPercentile": 18, "countPercentile": 46, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 15, "current": true }, { "range": "3.6–4.0", "count": 12, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.810810810810811 ##### count 74 ##### university ###### size 1289 ###### gpa Percentile 68 ###### count Percentile 55 ###### 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 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 27, "gpaPercentile": 81, "countPercentile": 46, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.691358024691358 ##### count 81 ##### university ###### size 1320 ###### gpa Percentile 50 ###### count Percentile 55 ###### 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": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 32, "gpaPercentile": 68, "countPercentile": 58, "medianCount": 64, "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": 12, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.6164383561643834 ##### count 73 ##### university ###### size 1283 ###### gpa Percentile 41 ###### count Percentile 54 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | true | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "SOC", "comparison": { "size": 25, "gpaPercentile": 54, "countPercentile": 67, "medianCount": 60, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5646 ###### gpa 3.671733963435225 ###### top Share 82.56729774032256 ###### count 208 ##### ASIANAM ###### size 24 ###### gpa 3.599858722026046 ###### top Share 80.063260263191 ###### count 455.5 ##### SOC ###### size 109 ###### gpa 3.5844952291252308 ###### top Share 78.88017226092013 ###### count 227 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### SOC ###### size 27 ###### gpa 3.414453094714139 ###### top Share 67.70912021560112 ###### count 88 ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ###### SOC ###### size 19 ###### gpa 3.3050173793000126 ###### top Share 61.598933023095 ###### count 132 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### SOC ###### size 27 ###### gpa 3.380632077797503 ###### top Share 65.88836755405634 ###### count 103 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### SOC ###### size 22 ###### gpa 3.361198072157114 ###### top Share 64.56578853048644 ###### count 109.5 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### SOC ###### size 24 ###### gpa 3.411235373135813 ###### top Share 66.68697091373427 ###### count 95.5 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### SOC ###### size 28 ###### gpa 3.364131324747294 ###### top Share 65.64767895330002 ###### count 91 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### SOC ###### size 23 ###### gpa 3.3582385454810058 ###### top Share 64.42257999599352 ###### count 89 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### SOC ###### size 24 ###### gpa 3.3472168820874884 ###### top Share 63.61227526700015 ###### count 91.5 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### SOC ###### size 25 ###### gpa 3.306637979531772 ###### top Share 60.46398794594801 ###### count 94 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### SOC ###### size 22 ###### gpa 3.3905188447795935 ###### top Share 65.08542948813925 ###### count 113 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### SOC ###### size 28 ###### gpa 3.2885567874943704 ###### top Share 62.436221119464314 ###### count 91 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### SOC ###### size 26 ###### gpa 3.408509046994647 ###### top Share 67.6147378204038 ###### count 92.5 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### SOC ###### size 29 ###### gpa 3.320101544244567 ###### top Share 63.434755059158505 ###### count 79 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 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3.566612322573937 ###### top Share 77.41477830964274 ###### count 64 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### SOC ###### size 25 ###### gpa 3.5590685336148504 ###### top Share 77.48123994097934 ###### count 60 ## instructor Trends ```json [ { "uid": "instructor_588bddce29e0dc01a367426d", "name": "PAMELA OLIVER", "count": 1868, "terms": [ { "term": "1072", "count": 61, "sections": 1, "gpa": 3.3934426229508197 }, { "term": "1074", "count": 151, "sections": 1, "gpa": 3.3211920529801326 }, { "term": "1082", "count": 92, "sections": 1, "gpa": 3.369565217391304 }, { "term": "1084", "count": 153, "sections": 1, "gpa": 3.418300653594771 }, { "term": "1102", "count": 61, "sections": 1, "gpa": 3.581967213114754 }, { "term": "1104", "count": 86, "sections": 1, "gpa": 3.4186046511627906 }, { "term": "1112", "count": 87, "sections": 1, "gpa": 3.3793103448275863 }, { "term": "1122", "count": 116, "sections": 1, "gpa": 3.4482758620689653 }, { "term": "1124", "count": 116, "sections": 1, "gpa": 3.228448275862069 }, { "term": "1132", "count": 91, "sections": 1, "gpa": 3.269230769230769 }, { "term": "1134", "count": 105, "sections": 1, "gpa": 3.419047619047619 }, { "term": "1142", "count": 81, "sections": 1, "gpa": 3.2901234567901234 }, { "term": "1144", "count": 77, "sections": 1, "gpa": 3.2467532467532467 }, { "term": "1152", "count": 103, "sections": 1, "gpa": 3.2718446601941746 }, { "term": "1154", "count": 82, "sections": 1, "gpa": 3.5060975609756095 }, { "term": "1162", "count": 54, "sections": 1, "gpa": 3.7962962962962963 }, { "term": "1164", "count": 105, "sections": 1, "gpa": 3.552380952380952 }, { "term": "1182", "count": 83, "sections": 1, "gpa": 3.5481927710843375 }, { "term": "1184", "count": 84, "sections": 1, "gpa": 3.619047619047619 }, { "term": "1192", "count": 80, "sections": 1, "gpa": 3.6875 } ] }, { "uid": "instructor_1242f3dd0222ef1de5a2e788", "name": "NATALIA SAVELYEVA", "count": 301, "terms": [ { "term": "1252", "count": 73, "sections": 1, "gpa": 3.3904109589041096 }, { "term": "1254", "count": 74, "sections": 1, "gpa": 3.810810810810811 }, { "term": "1262", "count": 81, "sections": 1, "gpa": 3.691358024691358 }, { "term": "1264", "count": 73, "sections": 1, "gpa": 3.6164383561643834 } ] }, { "uid": "instructor_f5bc082d5cd40e96b4754088", "name": "CABELL GATHMAN", "count": 256, "terms": [ { "term": "1222", "count": 85, "sections": 1, "gpa": 3.2176470588235295 }, { "term": "1224", "count": 87, "sections": 1, "gpa": 3.4827586206896552 }, { "term": "1244", "count": 84, "sections": 1, "gpa": 3.1547619047619047 } ] }, { "uid": "instructor_cac66950438e8e47607e33e9", "name": "EMMA-CLAIRE LASAINE", "count": 240, "terms": [ { "term": "1232", "count": 86, "sections": 1, "gpa": 3.4825581395348837 }, { "term": "1234", "count": 81, "sections": 1, "gpa": 3.302469135802469 }, { "term": "1242", "count": 73, "sections": 1, "gpa": 3.3835616438356166 } ] }, { "uid": "instructor_d4bee1556de42c67e2f3970c", "name": "CHAEYOON LIM", "count": 114, "terms": [ { "term": "1094", "count": 114, "sections": 1, "gpa": 3.280701754385965 } ] }, { "uid": "instructor_98be79af0a218212838dd5db", "name": "BENJAMIN WITKOVSKY", "count": 76, "terms": [ { "term": "1204", "count": 76, "sections": 1, "gpa": 3.8223684210526314 } ] } ] ``` ## following | code | title | | -------------- | ---------------------------------------------- | | CHICLA/SOC 470 | SOCIODEMOGRAPHIC ANALYSIS OF MEXICAN MIGRATION | ## projection ### target 1272 ### interval #### lower 2.99 #### upper 3.96 #### coverage 80 #### terms 8 ### gpa 3.4716159705513494 ### grades | grade | percentage | | ----- | ------------------ | | A | 45.70932483369737 | | AB | 32.42359894084348 | | B | 10.314542199906096 | | BC | 5.4565902564478215 | | C | 2.694323477023571 | | D | 0.867952232508316 | | F | 2.533668059573332 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 398 ### same Season true ### historical Range * 3.2176470588235286 * 3.6913580246913584 ### backtest #### terms 8 #### gpa Error 0.2038831018217377 #### mix Error 18.508416287430514