# COMARTS/LIS 705: Introductory Analytics for Decision Making | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMARTS_LIS_705) ## 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 b018afd12b17edb870f130064ffd17f502a2310378901f82b03d6a42b7e4385f ### course id COMARTS/LIS 705 ### course uid course\_d90adcea2857f285f411b80a ### catalog version id 22b94792374d7c5792fc07e53a847ad8cf97d1555dfbe8036f6ecb09fc471bb6 ### course number 705 ### subjects * COMARTS * LIS ### title INTRODUCTORY ANALYTICS FOR DECISION MAKING ### description Introduces key stages in the processes of gathering and analyzing data for decision making, including tasks, methods, and tools used at each stage. Topics include developing the research question from organizational goals, choosing appropriate data collection methods, sampling, basics of measurement and question design, managing and visualizing data, descriptive statistics and basic inferential statistics such as correlations, regressions, and ANOVA. ### requirements text Graduate/professional standing or Declared in Analytics for Decision Making capstone certificate ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 755d77545c1a284e82b6480e3dad3e47520b4792d6ca000beb9f333bd5e043b1 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduces key stages in gathering and analyzing data for decision making, including research design, data management, and statistical analysis. ### llm topics * Research question development * Data collection methods and sampling * Data management and visualization * Descriptive and inferential statistics ### llm skills * Developing research questions from organizational goals * Choosing data collection methods, sampling, and question design * Managing and visualizing data * Applying descriptive and basic inferential statistics ### llm assumed background None recorded. ### llm search phrases * data analysis decision making * research methods analytics * descriptive inferential statistics * data visualization sampling ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 6f629c3b956a04c4e2031d893ae6e77553fccd13663e43a004dcf95747037208 #### course id COMARTS/LIS 705 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Fall 2024: 4.00 GPA, 100.0% A/AB (n=9 letter grades); Spring 2025: 3.73 GPA, 97.4% A/AB (n=39 letter grades); Spring 2026: 3.84 GPA, 96.8% A/AB (n=31 letter grades). ```json { "citations": [ { "course_id": "COMARTS/LIS 705", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "c6ae502d-d091-3706-9afd-be29a65ea431", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMARTS/LIS 705", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "c6ae502d-d091-3706-9afd-be29a65ea431", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMARTS/LIS 705", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "c6ae502d-d091-3706-9afd-be29a65ea431", "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 None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "Graduate/professional standing or Declared in Analytics for Decision Making capstone certificate", "id": "n0", "kind": "any" }, { "children": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing or Declared in Analytics for Decision Making capstone certificate", "id": "n1", "kind": "condition" }, { "children": [], "condition": "Declared in Analytics for Decision Making capstone certificate", "course": null, "evidence": "Graduate/professional standing or Declared in Analytics for Decision Making capstone certificate", "id": "n2", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_6495aacc0aa9543061e6c507", "source": "madgrades", "source_instructor_id": "6220910", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RUTH PALMQUIST", "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": 3.564, "graded": 47, "counts": [ 28, 3, 15, 0, 0, 0, 1 ], "sections": 6 }, "instructor_url": "/instructors/RUTH_PALMQUIST--instructor_6495aacc0aa9543061e6c507" }, { "instructor_uid": "instructor_9998e90c0b393d21949ffb49", "source": "madgrades", "source_instructor_id": "5177775", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HANSEUL LEE", "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": 3.95, "graded": 10, "counts": [ 9, 1, 0, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/HANSEUL_LEE--instructor_9998e90c0b393d21949ffb49" }, { "instructor_uid": "instructor_c1317e73aaa027ab4dd2cf0a", "source": "madgrades", "source_instructor_id": "1634724", "identity_basis": "source_id", "identity_status": "source_identified", "name": "B. HUTCHINS", "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": 3.857, "graded": 896, "counts": [ 716, 148, 22, 3, 0, 0, 7 ], "sections": 37 }, "instructor_url": "/instructors/B_HUTCHINS--instructor_c1317e73aaa027ab4dd2cf0a" }, { "instructor_uid": "instructor_4b6b4167083c62b798d98765", "source": "madgrades", "source_instructor_id": "4715708", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MEI ZHANG", "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": 3.881, "graded": 105, "counts": [ 82, 21, 2, 0, 0, 0, 0 ], "sections": 12 }, "instructor_url": "/instructors/MEI_ZHANG--instructor_4b6b4167083c62b798d98765" }, { "instructor_uid": "instructor_1bdf69b4b22f963509936777", "source": "madgrades", "source_instructor_id": "5060942", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANDREW HAHN", "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": 4, "graded": 9, "counts": [ 9, 0, 0, 0, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/ANDREW_HAHN" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMARTS/LIS 705", "course_uid": "course_d90adcea2857f285f411b80a", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "RUTH PALMQUIST" ], "a": 8, "ab": 2, "b": 6, "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": 16, "source_aliases": [ "COMARTS/LIS 705" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMARTS/LIS 705", "course_uid": "course_d90adcea2857f285f411b80a", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "HANSEUL LEE", "RUTH PALMQUIST" ], "a": 22, "ab": 2, "b": 4, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "COMARTS/LIS 705" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMARTS/LIS 705", "course_uid": "course_d90adcea2857f285f411b80a", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "B. Hutchins" ], "a": 17, "ab": 0, "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": 17, "source_aliases": [ "COMARTS/LIS 705" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMARTS/LIS 705", "course_uid": "course_d90adcea2857f285f411b80a", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "RUTH PALMQUIST" ], "a": 7, "ab": 0, "b": 5, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 15, "source_aliases": [ "COMARTS/LIS 705" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMARTS/LIS 705", "course_uid": "course_d90adcea2857f285f411b80a", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "B. Hutchins", "MEI ZHANG" ], "a": 24, "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": 33, "source_aliases": [ "COMARTS/LIS 705" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMARTS/LIS 705", "course_uid": "course_d90adcea2857f285f411b80a", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "B. Hutchins" ], "a": 72, "ab": 22, "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": 94, "source_aliases": [ "COMARTS/LIS 705" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMARTS/LIS 705", "course_uid": "course_d90adcea2857f285f411b80a", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "ANDREW HAHN" ], "a": 9, "ab": 0, "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": 9, "source_aliases": [ "COMARTS/LIS 705" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMARTS/LIS 705", "course_uid": "course_d90adcea2857f285f411b80a", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "B. Hutchins" ], "a": 19, "ab": 19, "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": 39, "source_aliases": [ "COMARTS/LIS 705" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMARTS/LIS 705", "course_uid": "course_d90adcea2857f285f411b80a", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "B. Hutchins" ], "a": 28, "ab": 2, "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": 31, "source_aliases": [ "COMARTS/LIS 705" ] } ] ``` ### statistics #### gpa 3.812 #### graded 280 #### counts * 206 * 55 * 17 * 0 * 0 * 0 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_d90adcea2857f285f411b80a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_d90adcea2857f285f411b80a-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_d90adcea2857f285f411b80a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_d90adcea2857f285f411b80a-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_d90adcea2857f285f411b80a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_d90adcea2857f285f411b80a-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.8125 #### count 280 #### university ##### size 4114 ##### gpa Percentile 59 ##### count Percentile 75 ##### median Count 118 ##### 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 | 219 | false | | 3.2–3.6 | 1035 | false | | 3.6–4.0 | 2846 | true | #### departments ```json [ { "subject": "COMARTS", "comparison": { "size": 80, "gpaPercentile": 89, "countPercentile": 70, "medianCount": 120.5, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 34, "current": false }, { "range": "3.6–4.0", "count": 39, "current": true } ] } }, { "subject": "LIS", "comparison": { "size": 60, "gpaPercentile": 32, "countPercentile": 78, "medianCount": 161.5, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 56, "current": true } ] } } ] ``` ### terms #### 1194 ##### term 1194 ##### gpa 3.5625 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | COMARTS | | | LIS | | #### 1204 ##### term 1204 ##### gpa 3.8214285714285716 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | COMARTS | | | LIS | | #### 1222 ##### term 1222 ##### gpa 4 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | COMARTS | | | LIS | | #### 1224 ##### term 1224 ##### gpa 3.3076923076923075 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | COMARTS | | | LIS | | #### 1234 ##### term 1234 ##### gpa 3.8484848484848486 ##### count 33 ##### university ###### size 1188 ###### gpa Percentile 74 ###### count Percentile 7 ###### 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": "COMARTS", "comparison": { "size": 32, "gpaPercentile": 97, "countPercentile": 10, "medianCount": 71, "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": 19, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } }, { "subject": "LIS", "comparison": { "size": 12, "gpaPercentile": 45, "countPercentile": 0, "medianCount": 52.5, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 0, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.882978723404255 ##### count 94 ##### university ###### size 1241 ###### gpa Percentile 79 ###### count Percentile 67 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "COMARTS", "comparison": { "size": 28, "gpaPercentile": 93, "countPercentile": 63, "medianCount": 86.5, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } }, { "subject": "LIS", "comparison": { "size": 23, "gpaPercentile": 77, "countPercentile": 77, "medianCount": 43, "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": 1, "current": false }, { "range": "3.6–4.0", "count": 21, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 4 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | COMARTS | | | LIS | | #### 1254 ##### term 1254 ##### gpa 3.730769230769231 ##### count 39 ##### university ###### size 1289 ###### gpa Percentile 56 ###### count Percentile 19 ###### 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": "COMARTS", "comparison": { "size": 30, "gpaPercentile": 86, "countPercentile": 17, "medianCount": 78, "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": 15, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } }, { "subject": "LIS", "comparison": { "size": 22, "gpaPercentile": 33, "countPercentile": 14, "medianCount": 71.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 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": 3, "current": false }, { "range": "3.6–4.0", "count": 19, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.838709677419355 ##### count 31 ##### university ###### size 1283 ###### gpa Percentile 69 ###### count Percentile 2 ###### 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": "COMARTS", "comparison": { "size": 27, "gpaPercentile": 96, "countPercentile": 0, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } }, { "subject": "LIS", "comparison": { "size": 26, "gpaPercentile": 52, "countPercentile": 8, "medianCount": 68.5, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4114 ###### gpa 3.6939241561977934 ###### top Share 84.0869947666356 ###### count 118 ##### COMARTS ###### size 80 ###### gpa 3.5447850732688186 ###### top Share 77.27239780563296 ###### count 120.5 ##### LIS ###### size 60 ###### gpa 3.839154068450236 ###### top Share 92.73085384429784 ###### count 161.5 #### terms ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### COMARTS ###### size 29 ###### gpa 3.3508365048270132 ###### top Share 66.5557677356302 ###### count 81 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### COMARTS ###### size 26 ###### gpa 3.533538301025854 ###### top Share 76.8112410096067 ###### count 81 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### COMARTS ###### size 26 ###### gpa 3.425339595355296 ###### top Share 71.33094737261375 ###### count 96.5 ###### LIS ###### size 11 ###### gpa 3.8787860078339502 ###### top Share 94.66576641579059 ###### count 73 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### COMARTS ###### size 27 ###### gpa 3.423141423969633 ###### top Share 71.24547597826961 ###### count 92 ###### LIS ###### size 12 ###### gpa 3.881349891576495 ###### top Share 94.91067374910642 ###### count 54.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### COMARTS ###### size 32 ###### gpa 3.4278290803151 ###### top Share 72.11190673727351 ###### count 71 ###### LIS ###### size 12 ###### gpa 3.823506024254057 ###### top Share 92.61444646373904 ###### count 52.5 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### COMARTS ###### size 28 ###### gpa 3.516648803444057 ###### top Share 76.06487802673743 ###### count 86.5 ###### LIS ###### size 23 ###### gpa 3.7785046032731033 ###### top Share 90.26192741317158 ###### count 43 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### COMARTS ###### size 31 ###### gpa 3.5801244079825385 ###### top Share 79.42677023071607 ###### count 73 ###### LIS ###### size 22 ###### gpa 3.812010001587644 ###### top Share 91.12079947643103 ###### count 64 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### COMARTS ###### size 30 ###### gpa 3.531707043734977 ###### top Share 76.72967502634263 ###### count 78 ###### LIS ###### size 22 ###### gpa 3.7638187275898236 ###### top Share 89.4253626336275 ###### count 71.5 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### COMARTS ###### size 27 ###### gpa 3.5996238457958714 ###### top Share 81.73403727867165 ###### count 74 ###### LIS ###### size 26 ###### gpa 3.7763648214424603 ###### top Share 89.64354345968482 ###### count 68.5 ## instructor Trends ```json [ { "uid": "instructor_c1317e73aaa027ab4dd2cf0a", "name": "B. HUTCHINS", "count": 214, "terms": [ { "term": "1222", "count": 17, "sections": 2, "gpa": 4 }, { "term": "1234", "count": 33, "sections": 1, "gpa": 3.8484848484848486 }, { "term": "1244", "count": 94, "sections": 1, "gpa": 3.882978723404255 }, { "term": "1254", "count": 39, "sections": 2, "gpa": 3.730769230769231 }, { "term": "1264", "count": 31, "sections": 1, "gpa": 3.838709677419355 } ] }, { "uid": "instructor_6495aacc0aa9543061e6c507", "name": "RUTH PALMQUIST", "count": 47, "terms": [ { "term": "1194", "count": 16, "sections": 1, "gpa": 3.5625 }, { "term": "1204", "count": 18, "sections": 1, "gpa": 3.75 }, { "term": "1224", "count": 13, "sections": 4, "gpa": 3.3076923076923075 } ] }, { "uid": "instructor_9998e90c0b393d21949ffb49", "name": "HANSEUL LEE", "count": 10, "terms": [ { "term": "1204", "count": 10, "sections": 2, "gpa": 3.95 } ] }, { "uid": "instructor_1bdf69b4b22f963509936777", "name": "ANDREW HAHN", "count": 9, "terms": [ { "term": "1252", "count": 9, "sections": 4, "gpa": 4 } ] } ] ``` ## following | code | title | | ------- | ----------------------------------- | | LIS 706 | DATA MINING PLANNING AND MANAGEMENT |