# GENBUS 760: Data Technology for Business Analytics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/GENBUS_760) ## 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 8260bafed42b6eea69546bfe481985c9f7c95baef5ad1a03dbe1124d05168d06 ### course id GENBUS 760 ### course uid course\_05bf90f93cd632fab7dab908 ### catalog version id 72e4ab0cc8fdce82511c0b474bd64e619902aac64e571769e1f5ac5ac8bbf803 ### course number 760 ### subjects * GENBUS ### title DATA TECHNOLOGY FOR BUSINESS ANALYTICS ### description Focuses on various technologies needed to perform data analytics. Techniques of extracting structured and unstructured data from databases, applications, or social networks. Transform and combine data with other relevant information and load into targeted systems. How to use programming languages to collect data from the web and leverage libraries for other, more, advanced data analysis. ### requirements text Graduate/professional standing ### credits min 2 ### credits max 3 ### credit offering ids * 1272:231:025348 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 44d0afb80f0a66901fe2811da3c7449ba8c471668147110aab4a6db78b236498 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary GENBUS 760 teaches data analytics technologies, including data extraction, transformation, and programming for web data collection. ### llm topics * Data extraction from databases, applications, and social networks * Data transformation and integration * Web data collection and advanced data analysis libraries ### llm skills * Extracting structured and unstructured data * Transforming, combining, and loading data * Using programming languages for web data collection and advanced analysis ### llm assumed background None recorded. ### llm search phrases * data analytics technologies * data extraction databases * web scraping programming * business analytics tools ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 9b4ef34d29946b9008178815d5b7eb3d47067080bdd65b130c0e12d86b825b01 #### course id GENBUS 760 #### current instructors ```json [ { "instructor_uid": "instructor_3812021bfd5ef0b7db87d82d", "message": "No course-specific reviews available", "name": "Jinan Lin", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "GENBUS 760", "run_id": "20260907T155543-ce3781c4", "section_number": 10, "source_course_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "source_record": { "entity_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "GENBUS 760", "run_id": "20260907T155543-ce3781c4", "section_number": 11, "source_course_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "source_record": { "entity_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "GENBUS 760", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "source_record": { "entity_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "GENBUS 760", "run_id": "20260907T155543-ce3781c4", "section_number": 10, "source_course_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "source_record": { "entity_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "GENBUS 760", "run_id": "20260907T155543-ce3781c4", "section_number": 11, "source_course_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "source_record": { "entity_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2024: 3.68 GPA, 80.7% A/AB (n=114 letter grades); Fall 2025: 3.94 GPA, 97.4% A/AB (n=78 letter grades)." } ] }, { "instructor_uid": "instructor_cf97229883e4773987322e5f", "message": "No course-specific reviews available", "name": "Maoxia Zeng", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2025: 3.58 GPA, 80.0% A/AB (n=30 letter grades); Fall 2025: 3.86 GPA, 94.1% A/AB (n=101 letter grades); Spring 2026: 3.69 GPA, 84.4% A/AB (n=32 letter grades). ```json { "citations": [ { "course_id": "GENBUS 760", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "GENBUS 760", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "GENBUS 760", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history JINAN LIN is recorded teaching in Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "GENBUS 760", "run_id": "20260907T155543-ce3781c4", "section_number": 10, "source_course_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "source_record": { "entity_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "GENBUS 760", "run_id": "20260907T155543-ce3781c4", "section_number": 11, "source_course_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "source_record": { "entity_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "GENBUS 760", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "source_record": { "entity_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "GENBUS 760", "run_id": "20260907T155543-ce3781c4", "section_number": 10, "source_course_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "source_record": { "entity_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "GENBUS 760", "run_id": "20260907T155543-ce3781c4", "section_number": 11, "source_course_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "source_record": { "entity_id": "f5bbe3cf-bb0f-3c18-a2d7-0d2103c45dce", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ----------- | ------------------- | -------------------------------- | -------------------------------- | ------------------------- | | instructor\_3812021bfd5ef0b7db87d82d | enrollment | jlin247 | netid | source\_identified | Jinan Lin | JINAN.LIN\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/JINAN\_LIN | | instructor\_cf97229883e4773987322e5f | enrollment | mzeng27 | netid | source\_identified | Maoxia Zeng | MZENG27\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/MAOXIA\_ZENG | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:231:025348", "course_id": "GENBUS 760", "course_uid": "course_05bf90f93cd632fab7dab908", "term_id": "1272", "source_course_id": "025348", "source_subject_id": "231", "title": "Data Technology for Business Analytics", "credits_min": 2, "credits_max": 3, "typically_offered": "Not Applicable" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:31097", "term_id": "1272", "source_section_id": "31097", "identity_basis": "class_number", "section_number": "010", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 35, "enrolled": 24, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-10-25 05:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:31098", "term_id": "1272", "source_section_id": "31098", "identity_basis": "class_number", "section_number": "011", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 24, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-10-25 05:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_8999804c792c7ac14055abfb", "source": "madgrades", "source_instructor_id": "1107583", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TERENCE OW", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.642, "graded": 246, "counts": [ 122, 84, 35, 2, 2, 0, 1 ], "sections": 13 }, "instructor_url": "/instructors/TERENCE_OW--instructor_8999804c792c7ac14055abfb" }, { "instructor_uid": "instructor_dc64cbec2576ad7272010864", "source": "madgrades", "source_instructor_id": "6096061", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HUNG TRAN", "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": 4.63, "difficulty": 3.79, "quality_count": 19, "difficulty_count": 19, "profile_id": "rmp:2230918", "source_url": "https://www.ratemyprofessors.com/professor/2230918", "match_basis": "exact_name", "observed_at": "2026-09-07 16:36:22.397160+00:00", "courses": { "course_364c50303ed83d1234b4ea51": { "review_count": 10, "quality": 5, "difficulty": 3.8, "quality_count": 10, "difficulty_count": 10 }, "course_225e4c9e92f2538c1ae5e8bf": { "review_count": 1, "quality": 2, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 }, "course_be7b0773bc9d040384a6a3ce": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_5d98ff5f6adce2207e394dc6": { "review_count": 4, "quality": 4.75, "difficulty": 3.25, "quality_count": 4, "difficulty_count": 4 }, "course_0dd25611eebe714d971b7bfb": { "review_count": 2, "quality": 4.5, "difficulty": 4.5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 4.132402965921331, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.722, "graded": 54, "counts": [ 31, 22, 0, 0, 0, 0, 1 ], "sections": 2 }, "instructor_url": "/instructors/HUNG_TRAN--instructor_dc64cbec2576ad7272010864" }, { "instructor_uid": "instructor_7583f93a2762d8e92ce17dbf", "source": "madgrades", "source_instructor_id": "5525789", "identity_basis": "source_id", "identity_status": "source_identified", "name": "EMAAD AHMED MANZOOR", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.807, "graded": 205, "counts": [ 136, 60, 8, 1, 0, 0, 0 ], "sections": 6 }, "instructor_url": "/instructors/EMAAD_AHMED_MANZOOR" }, { "instructor_uid": "instructor_b374d9a64998b1d436093daa", "source": "madgrades", "source_instructor_id": "6367818", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YANG GAO", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.978, "graded": 45, "counts": [ 43, 2, 0, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/YANG_GAO--instructor_b374d9a64998b1d436093daa" }, { "instructor_uid": "instructor_8a4a02bfa8668522d6731e36", "source": "madgrades", "source_instructor_id": "6489216", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALLEN LI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.825, "graded": 369, "counts": [ 267, 78, 21, 3, 0, 0, 0 ], "sections": 20 }, "instructor_url": "/instructors/ALLEN_LI--instructor_8a4a02bfa8668522d6731e36" }, { "instructor_uid": "instructor_ebd61c92bd2c2719e9d7b376", "source": "madgrades", "source_instructor_id": "6586906", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BIPIN KARUNAKARAN", "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": 8, "quality": 3.5, "difficulty": 2.62, "quality_count": 8, "difficulty_count": 8, "profile_id": "rmp:3009325", "source_url": "https://www.ratemyprofessors.com/professor/3009325", "match_basis": "exact_name", "observed_at": "2026-09-07 16:51:44.388395+00:00", "courses": { "course_568bb2af4f28391287f8904e": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_02d7a8ec033448f8518d0cd4": { "review_count": 7, "quality": 3.29, "difficulty": 2.57, "quality_count": 7, "difficulty_count": 7 } }, "bayesian_quality": 3.614061273961854, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.614, "graded": 917, "counts": [ 530, 189, 124, 43, 26, 1, 4 ], "sections": 18 }, "instructor_url": "/instructors/BIPIN_KARUNAKARAN--instructor_ebd61c92bd2c2719e9d7b376" }, { "instructor_uid": "instructor_4e64c850606b1862ba3d150d", "source": "madgrades", "source_instructor_id": "5554188", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JINAN LIN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.781, "graded": 192, "counts": [ 134, 34, 22, 2, 0, 0, 0 ], "sections": 5 }, "instructor_url": "/instructors/JINAN_LIN--instructor_4e64c850606b1862ba3d150d" }, { "instructor_uid": "instructor_c2aac38b810a2c26f4dede70", "source": "madgrades", "source_instructor_id": "6686900", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MIN-SEOK PANG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.694, "graded": 72, "counts": [ 43, 19, 6, 3, 1, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/MIN-SEOK_PANG--instructor_c2aac38b810a2c26f4dede70" }, { "instructor_uid": "instructor_3812021bfd5ef0b7db87d82d", "source": "enrollment", "source_instructor_id": "jlin247", "identity_basis": "netid", "identity_status": "source_identified", "name": "Jinan Lin", "email": "JINAN.LIN@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/JINAN_LIN" }, { "instructor_uid": "instructor_cf97229883e4773987322e5f", "source": "enrollment", "source_instructor_id": "mzeng27", "identity_basis": "netid", "identity_status": "source_identified", "name": "Maoxia Zeng", "email": "MZENG27@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/MAOXIA_ZENG" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 760", "course_uid": "course_05bf90f93cd632fab7dab908", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "TERENCE OW" ], "a": 19, "ab": 8, "b": 10, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 37, "source_aliases": [ "GENBUS 760" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 760", "course_uid": "course_05bf90f93cd632fab7dab908", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Hung Tran", "TERENCE OW" ], "a": 31, "ab": 22, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 54, "source_aliases": [ "GENBUS 760" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 760", "course_uid": "course_05bf90f93cd632fab7dab908", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "EMAAD AHMED MANZOOR", "YANG GAO" ], "a": 89, "ab": 2, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 91, "source_aliases": [ "GENBUS 760" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 760", "course_uid": "course_05bf90f93cd632fab7dab908", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "EMAAD AHMED MANZOOR" ], "a": 46, "ab": 58, "b": 8, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 113, "source_aliases": [ "GENBUS 760" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 760", "course_uid": "course_05bf90f93cd632fab7dab908", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Allen Li" ], "a": 21, "ab": 8, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 30, "source_aliases": [ "GENBUS 760" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 760", "course_uid": "course_05bf90f93cd632fab7dab908", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Bipin Karunakaran" ], "a": 119, "ab": 33, "b": 8, "bc": 1, "c": 1, "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": 162, "source_aliases": [ "GENBUS 760" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 760", "course_uid": "course_05bf90f93cd632fab7dab908", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Allen Li" ], "a": 15, "ab": 2, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 19, "source_aliases": [ "GENBUS 760" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 760", "course_uid": "course_05bf90f93cd632fab7dab908", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Bipin Karunakaran", "Jinan Lin" ], "a": 79, "ab": 49, "b": 30, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 158, "source_aliases": [ "GENBUS 760" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 760", "course_uid": "course_05bf90f93cd632fab7dab908", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Bipin Karunakaran", "MIN-SEOK PANG" ], "a": 12, "ab": 12, "b": 5, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 30, "source_aliases": [ "GENBUS 760" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 760", "course_uid": "course_05bf90f93cd632fab7dab908", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Bipin Karunakaran", "Jinan Lin" ], "a": 80, "ab": 15, "b": 4, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 101, "source_aliases": [ "GENBUS 760" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 760", "course_uid": "course_05bf90f93cd632fab7dab908", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Bipin Karunakaran" ], "a": 17, "ab": 10, "b": 5, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 32, "source_aliases": [ "GENBUS 760" ] } ] ``` ### statistics #### gpa 3.763 #### graded 827 #### counts * 528 * 219 * 73 * 5 * 1 * 0 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_05bf90f93cd632fab7dab908-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_05bf90f93cd632fab7dab908-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_05bf90f93cd632fab7dab908-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_05bf90f93cd632fab7dab908-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_05bf90f93cd632fab7dab908-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_05bf90f93cd632fab7dab908-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_05bf90f93cd632fab7dab908-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_05bf90f93cd632fab7dab908-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.762998790810157 #### count 827 #### university ##### size 4520 ##### gpa Percentile 50 ##### count Percentile 90 ##### median Count 129.5 ##### 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 | 10 | false | | 2.8–3.2 | 239 | false | | 3.2–3.6 | 1100 | false | | 3.6–4.0 | 3171 | true | #### departments ```json [ { "subject": "GENBUS", "comparison": { "size": 48, "gpaPercentile": 47, "countPercentile": 79, "medianCount": 278, "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": 8, "current": false }, { "range": "3.6–4.0", "count": 38, "current": true } ] } } ] ``` ### terms #### 1202 ##### term 1202 ##### gpa 3.6216216216216215 ##### count 37 ##### university ###### size 1102 ###### gpa Percentile 57 ###### count Percentile 15 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | true | ##### departments ```json [ { "subject": "GENBUS", "comparison": { "size": 12, "gpaPercentile": 64, "countPercentile": 9, "medianCount": 142.5, "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": 4, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.7222222222222223 ##### count 54 ##### university ###### size 1111 ###### gpa Percentile 59 ###### count Percentile 38 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "GENBUS", "comparison": { "size": 15, "gpaPercentile": 64, "countPercentile": 29, "medianCount": 108, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 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": 2, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.989010989010989 ##### count 91 ##### university ###### size 1157 ###### gpa Percentile 96 ###### 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 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "GENBUS", "comparison": { "size": 14, "gpaPercentile": 92, "countPercentile": 23, "medianCount": 159, "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": 2, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.65929203539823 ##### count 113 ##### university ###### size 1216 ###### gpa Percentile 53 ###### 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 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "GENBUS", "comparison": { "size": 14, "gpaPercentile": 62, "countPercentile": 23, "medianCount": 213.5, "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": 2, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.8333333333333335 ##### count 30 ##### university ###### size 1188 ###### gpa Percentile 72 ###### count Percentile 0 ###### 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 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "GENBUS", "comparison": { "size": 17, "gpaPercentile": 69, "countPercentile": 0, "medianCount": 103, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 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": 2, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.8271604938271606 ##### count 162 ##### university ###### size 1295 ###### gpa Percentile 71 ###### count Percentile 82 ###### 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 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "GENBUS", "comparison": { "size": 17, "gpaPercentile": 81, "countPercentile": 44, "medianCount": 165, "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": 3, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.8421052631578947 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | GENBUS | | #### 1252 ##### term 1252 ##### gpa 3.6550632911392404 ##### count 158 ##### university ###### size 1333 ###### gpa Percentile 48 ###### count Percentile 81 ###### 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 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "GENBUS", "comparison": { "size": 19, "gpaPercentile": 39, "countPercentile": 50, "medianCount": 158, "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": 6, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.5833333333333335 ##### count 30 ##### university ###### size 1289 ###### gpa Percentile 39 ###### count Percentile 0 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "GENBUS", "comparison": { "size": 28, "gpaPercentile": 41, "countPercentile": 0, "medianCount": 83, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 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": 11, "current": true }, { "range": "3.6–4.0", "count": 16, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.8564356435643563 ##### count 101 ##### university ###### size 1320 ###### gpa Percentile 72 ###### count Percentile 66 ###### 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": "GENBUS", "comparison": { "size": 27, "gpaPercentile": 77, "countPercentile": 54, "medianCount": 98, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 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": 9, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.6875 ##### count 32 ##### university ###### size 1283 ###### gpa Percentile 49 ###### count Percentile 5 ###### 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": "GENBUS", "comparison": { "size": 30, "gpaPercentile": 48, "countPercentile": 14, "medianCount": 79, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 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": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4520 ###### gpa 3.6995124135742423 ###### top Share 84.31984899859991 ###### count 129.5 ##### GENBUS ###### size 48 ###### gpa 3.71180412727753 ###### top Share 85.17603551572462 ###### count 278 #### terms ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### GENBUS ###### size 12 ###### gpa 3.4700941628344775 ###### top Share 69.89874080712373 ###### count 142.5 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### GENBUS ###### size 15 ###### gpa 3.5535569622883747 ###### top Share 77.85717446541024 ###### count 108 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### GENBUS ###### size 14 ###### gpa 3.551946491046825 ###### top Share 74.99848684806021 ###### count 159 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### GENBUS ###### size 14 ###### gpa 3.514889967225248 ###### top Share 75.15171041645179 ###### count 213.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### GENBUS ###### size 17 ###### gpa 3.5936021095838138 ###### top Share 77.59651261160623 ###### count 103 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### GENBUS ###### size 17 ###### gpa 3.5660961080678772 ###### top Share 79.49715725336021 ###### count 165 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### GENBUS ###### size 19 ###### gpa 3.534713725247456 ###### top Share 74.84471631838613 ###### count 100 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### GENBUS ###### size 19 ###### gpa 3.6363102953835043 ###### top Share 81.30939457403292 ###### count 158 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### GENBUS ###### size 28 ###### gpa 3.642800867856554 ###### top Share 80.80715279553331 ###### count 83 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### GENBUS ###### size 27 ###### gpa 3.655019994289601 ###### top Share 82.47740840714685 ###### count 98 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### GENBUS ###### size 30 ###### gpa 3.6817668874579623 ###### top Share 83.39332566820664 ###### count 79 ## instructor Trends ```json [ { "uid": "instructor_ebd61c92bd2c2719e9d7b376", "name": "BIPIN KARUNAKARAN", "count": 276, "terms": [ { "term": "1242", "count": 162, "sections": 3, "gpa": 3.8271604938271606 }, { "term": "1252", "count": 44, "sections": 1, "gpa": 3.602272727272727 }, { "term": "1254", "count": 15, "sections": 1, "gpa": 3.6666666666666665 }, { "term": "1262", "count": 23, "sections": 1, "gpa": 3.5869565217391304 }, { "term": "1264", "count": 32, "sections": 1, "gpa": 3.6875 } ] }, { "uid": "instructor_7583f93a2762d8e92ce17dbf", "name": "EMAAD AHMED MANZOOR", "count": 204, "terms": [ { "term": "1222", "count": 91, "sections": 3, "gpa": 3.989010989010989 }, { "term": "1232", "count": 113, "sections": 2, "gpa": 3.65929203539823 } ] }, { "uid": "instructor_4e64c850606b1862ba3d150d", "name": "JINAN LIN", "count": 192, "terms": [ { "term": "1252", "count": 114, "sections": 2, "gpa": 3.675438596491228 }, { "term": "1262", "count": 78, "sections": 3, "gpa": 3.9358974358974357 } ] }, { "uid": "instructor_8999804c792c7ac14055abfb", "name": "TERENCE OW", "count": 91, "terms": [ { "term": "1202", "count": 37, "sections": 1, "gpa": 3.6216216216216215 }, { "term": "1212", "count": 54, "sections": 2, "gpa": 3.7222222222222223 } ] }, { "uid": "instructor_dc64cbec2576ad7272010864", "name": "HUNG TRAN", "count": 54, "terms": [ { "term": "1212", "count": 54, "sections": 2, "gpa": 3.7222222222222223 } ] }, { "uid": "instructor_8a4a02bfa8668522d6731e36", "name": "ALLEN LI", "count": 49, "terms": [ { "term": "1234", "count": 30, "sections": 1, "gpa": 3.8333333333333335 }, { "term": "1244", "count": 19, "sections": 1, "gpa": 3.8421052631578947 } ] }, { "uid": "instructor_b374d9a64998b1d436093daa", "name": "YANG GAO", "count": 45, "terms": [ { "term": "1222", "count": 45, "sections": 1, "gpa": 3.977777777777778 } ] }, { "uid": "instructor_c2aac38b810a2c26f4dede70", "name": "MIN-SEOK PANG", "count": 15, "terms": [ { "term": "1254", "count": 15, "sections": 1, "gpa": 3.5 } ] } ] ``` ## following | code | title | | ---------- | ------------------------------- | | GENBUS 746 | ADVANCED SQL & DATA WAREHOUSING | ## projection ### target 1272 ### gpa 3.7890663421430046 ### grades | grade | percentage | | ----- | ------------------- | | A | 67.56381620864408 | | AB | 23.762052167345686 | | B | 7.715237400508068 | | BC | 0.8413722909714972 | | C | 0.11752193253065854 | | D | 0 | | F | 0 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 625 ### same Season true ### historical Range * 3.6550632911392404 * 3.989010989010989 ### backtest #### terms 3 #### gpa Error 0.09796778596766709 #### mix Error 15.88028584842849