# MARKETNG/OTM 423: Procurement and Supply Management | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MARKETNG_OTM_423) ## 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 e68e3f11d9ba4feba174ead2f3c016dd578bd9655589188163510563c905782c ### course id MARKETNG/OTM 423 ### course uid course\_21f40c328bd99550bd9f745f ### catalog version id ca6a1bfc570e90a60608d177fab7e57871dd7f579e4e4bed5ca58a61521cfedb ### course number 423 ### subjects * MARKETNG * OTM ### title PROCUREMENT AND SUPPLY MANAGEMENT ### description Procurement and supply management is the business function concerned with an organization's acquisition of required materials, services, and equipment. Explores the key aspects of modern supply management including the purchasing process, cost management, negotiation, sourcing strategies, supplier management, category management, acquisition methods for materials and services, and outsourcing. ### requirements text Sophomore standing and (MARKETNG 300orOTM 300) or declared in undergraduate Business Exchange program ### credits min 3 ### credits max 3 ### credit offering ids * 1272:237:022900 * 1272:238:022900 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id d6b3974acfbcbc2466c2ba8aa7b84e4d037e41f305d2c4a69659724dd4cb4154 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers procurement and supply management, including purchasing, cost management, negotiation, sourcing, supplier management, and outsourcing. ### llm topics * Purchasing process * Cost management * Negotiation * Sourcing strategies * Supplier management * Category management * Acquisition methods * Outsourcing ### llm skills * Procurement and supply management processes * Negotiation skills * Cost management * Sourcing strategies * Supplier management * Category management * Acquisition methods and outsourcing ### llm assumed background * Foundational marketing management principles * Operations and supply chain management fundamentals ### llm search phrases * procurement strategies * supply chain management * supplier negotiation * cost management in procurement * sourcing and outsourcing ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 8dd98c8254f6d86c64bc9a51ac1000817c48230e29e41a572c43aaa2abf062ec #### course id MARKETNG/OTM 423 #### current instructors ```json [ { "instructor_uid": "instructor_1c29217eef7c16bcfce7a967", "message": null, "name": "Xiaoyang Long", "review_status": "supported", "rmp_instructor_id": "rmp:2490777", "summary": [ { "citations": [ { "instructor_name": "Xiaoyang Long", "review_date": "2023-05-09 14:05:27 +0000 UTC", "review_id": "c513a236745910097a0cfb1c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2490777", "source_review_id": "UmF0aW5nLTM3ODY5NzQ0", "source_url": "https://www.ratemyprofessors.com/professor/2490777", "type": "review" } ], "text": "Xiaoyang Long delivers lectures that some find dry, though the course material is manageable for attentive students. A primary concern is her slow grading turnaround, which can delay feedback on assignments." }, { "citations": [ { "course_id": "MARKETNG/OTM 423", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "source_record": { "entity_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "MARKETNG/OTM 423", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "source_record": { "entity_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MARKETNG/OTM 423", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "source_record": { "entity_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MARKETNG/OTM 423", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "source_record": { "entity_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Spring 2023: 3.60 GPA, 75.6% A/AB (n=45 letter grades); Spring 2024: 3.62 GPA, 83.1% A/AB (n=59 letter grades); Fall 2025: 3.58 GPA, 76.0% A/AB (n=25 letter grades)." } ] } ] ``` #### difficulty workload Assignments are not terribly difficult for attentive students, though grading turnaround times are reported to be slow. ```json { "citations": [ { "instructor_name": "Xiaoyang Long", "review_date": "2023-05-09 14:05:27 +0000 UTC", "review_id": "c513a236745910097a0cfb1c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2490777", "source_review_id": "UmF0aW5nLTM3ODY5NzQ0", "source_url": "https://www.ratemyprofessors.com/professor/2490777", "type": "review" } ] } ``` #### errors None recorded. #### historical context None recorded. #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Xiaoyang Long's lectures are described as dry, but the course is manageable if students pay attention during class sessions. ```json { "citations": [ { "instructor_name": "Xiaoyang Long", "review_date": "2023-05-09 14:05:27 +0000 UTC", "review_id": "c513a236745910097a0cfb1c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2490777", "source_review_id": "UmF0aW5nLTM3ODY5NzQ0", "source_url": "https://www.ratemyprofessors.com/professor/2490777", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.50 GPA, 82.6% A/AB (n=23 letter grades); Fall 2025: 3.58 GPA, 76.0% A/AB (n=25 letter grades); Spring 2026: 3.60 GPA, 88.0% A/AB (n=25 letter grades). ```json { "citations": [ { "course_id": "MARKETNG/OTM 423", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MARKETNG/OTM 423", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MARKETNG/OTM 423", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience The lecture style is considered dry, and the slow grading process is a notable frustration for students. ```json { "citations": [ { "instructor_name": "Xiaoyang Long", "review_date": "2023-05-09 14:05:27 +0000 UTC", "review_id": "c513a236745910097a0cfb1c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2490777", "source_review_id": "UmF0aW5nLTM3ODY5NzQ0", "source_url": "https://www.ratemyprofessors.com/professor/2490777", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history XIAOYANG LONG is recorded teaching in Spring 2020, Spring 2022, Spring 2023, Spring 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MARKETNG/OTM 423", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "source_record": { "entity_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "MARKETNG/OTM 423", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "source_record": { "entity_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "MARKETNG/OTM 423", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "source_record": { "entity_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "MARKETNG/OTM 423", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "source_record": { "entity_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MARKETNG/OTM 423", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "source_record": { "entity_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MARKETNG/OTM 423", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "source_record": { "entity_id": "ce50b0c5-ed4b-381a-a6c4-3e903f967afa", "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": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "Sophomore standing and (MARKETNG 300orOTM 300) or declared in undergraduate Business Exchange program", "id": "n0", "kind": "any" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "Sophomore standing and (MARKETNG 300orOTM 300)", "id": "n1", "kind": "all" }, { "children": [ "n5", "n6" ], "condition": null, "course": null, "evidence": "(MARKETNG 300orOTM 300)", "id": "n2", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "MARKETNG" ], "timing": "prior" }, "evidence": "MARKETNG 300", "id": "n3", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "OTM" ], "timing": "prior" }, "evidence": "OTM 300", "id": "n4", "kind": "course" }, { "children": [], "condition": "Sophomore standing", "course": null, "evidence": "Sophomore standing", "id": "n5", "kind": "condition" }, { "children": [], "condition": "declared in undergraduate Business Exchange program", "course": null, "evidence": "declared in undergraduate Business Exchange program", "id": "n6", "kind": "condition" } ] ``` #### notes * The phrase 'MARKETNG 300orOTM 300' in the source text lacks a space but clearly denotes an OR relationship between the two courses. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_1c29217eef7c16bcfce7a967", "source": "enrollment", "source_instructor_id": "xlong8", "identity_basis": "netid", "identity_status": "source_identified", "name": "Xiaoyang Long", "email": "XIAOYANG.LONG@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": 3.89, "difficulty": 2.67, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:2490777", "source_url": "https://www.ratemyprofessors.com/professor/2490777", "match_basis": "exact_name", "observed_at": "2026-09-07 15:58:32.924769+00:00", "courses": { "course_aa7c4c79e460029847daaad2": { "review_count": 8, "quality": 4, "difficulty": 2.62, "quality_count": 8, "difficulty_count": 8 }, "course_21f40c328bd99550bd9f745f": { "review_count": 1, "quality": 3, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.7311626093424795, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/XIAOYANG_LONG" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:237:022900", "course_id": "MARKETNG/OTM 423", "course_uid": "course_21f40c328bd99550bd9f745f", "term_id": "1272", "source_course_id": "022900", "source_subject_id": "237", "title": "Procurement and Supply Management", "credits_min": 3, "credits_max": 3, "typically_offered": "Spring" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:238:022900", "course_id": "MARKETNG/OTM 423", "course_uid": "course_21f40c328bd99550bd9f745f", "term_id": "1272", "source_course_id": "022900", "source_subject_id": "238", "title": "Procurement and Supply Management", "credits_min": 3, "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:1272:28865", "term_id": "1272", "source_section_id": "28865", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 27, "waitlisted": 4, "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:1272:28993", "term_id": "1272", "source_section_id": "28993", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 3, "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_f0344a685da2935855709ad4", "source": "madgrades", "source_instructor_id": "2822938", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOHN M. MC KELLER", "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": 3.646, "graded": 974, "counts": [ 511, 307, 114, 26, 13, 0, 3 ], "sections": 42 }, "instructor_url": "/instructors/JOHN_M_MC_KELLER--instructor_f0344a685da2935855709ad4" }, { "instructor_uid": "instructor_5ddee6048ebb5751a482ed7d", "source": "madgrades", "source_instructor_id": "820985", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TIMOTHY BUHL", "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": 3.599, "graded": 1708, "counts": [ 741, 685, 224, 27, 20, 6, 5 ], "sections": 75 }, "instructor_url": "/instructors/TIMOTHY_BUHL" }, { "instructor_uid": "instructor_0ba7b933ff9c84a6766e78e5", "source": "madgrades", "source_instructor_id": "6079890", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XIAOYANG LONG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 9, "quality": 3.89, "difficulty": 2.67, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:2490777", "source_url": "https://www.ratemyprofessors.com/professor/2490777", "match_basis": "exact_name", "observed_at": "2026-09-07 15:58:32.924769+00:00", "courses": { "course_aa7c4c79e460029847daaad2": { "review_count": 8, "quality": 4, "difficulty": 2.62, "quality_count": 8, "difficulty_count": 8 }, "course_21f40c328bd99550bd9f745f": { "review_count": 1, "quality": 3, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.7311626093424795, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.146, "graded": 2168, "counts": [ 498, 534, 623, 225, 250, 27, 11 ], "sections": 28 }, "instructor_url": "/instructors/XIAOYANG_LONG--instructor_0ba7b933ff9c84a6766e78e5" }, { "instructor_uid": "instructor_9e3818a50ba6ac23f13dcb90", "source": "madgrades", "source_instructor_id": "5001882", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARK NICOLA", "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": 3.584, "graded": 89, "counts": [ 34, 43, 10, 1, 0, 0, 1 ], "sections": 4 }, "instructor_url": "/instructors/MARK_NICOLA" }, { "instructor_uid": "instructor_ee43402d5c44393c5eb82832", "source": "madgrades", "source_instructor_id": "6316432", "identity_basis": "source_id", "identity_status": "source_identified", "name": "AISHA HURSTON", "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": 3.607, "graded": 276, "counts": [ 102, 139, 31, 2, 1, 1, 0 ], "sections": 9 }, "instructor_url": "/instructors/AISHA_HURSTON--instructor_ee43402d5c44393c5eb82832" }, { "instructor_uid": "instructor_27e3dc84f113c2539e3fe227", "source": "madgrades", "source_instructor_id": "5074772", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JANE SCOTT", "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": 3.584, "graded": 220, "counts": [ 94, 81, 38, 4, 2, 1, 0 ], "sections": 9 }, "instructor_url": "/instructors/JANE_SCOTT" }, { "instructor_uid": "instructor_f5e4f43d0913c95a00297157", "source": "madgrades", "source_instructor_id": "5199939", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PAIGE VAN WART", "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": 3.6, "graded": 206, "counts": [ 97, 78, 21, 3, 5, 0, 2 ], "sections": 8 }, "instructor_url": "/instructors/PAIGE_VAN_WART--instructor_f5e4f43d0913c95a00297157" }, { "instructor_uid": "instructor_3d9abb80c5a8eeae4e050262", "source": "madgrades", "source_instructor_id": "5635633", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HANNAH MEYER", "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": 3.622, "graded": 217, "counts": [ 97, 87, 29, 1, 1, 2, 0 ], "sections": 9 }, "instructor_url": "/instructors/HANNAH_MEYER" }, { "instructor_uid": "instructor_a5f5544899f663c83ff68119", "source": "madgrades", "source_instructor_id": "1532222", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NATHAN ZUKAS", "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": 3.714, "graded": 185, "counts": [ 107, 58, 15, 4, 0, 1, 0 ], "sections": 9 }, "instructor_url": "/instructors/NATHAN_ZUKAS--instructor_a5f5544899f663c83ff68119" }, { "instructor_uid": "instructor_1c29217eef7c16bcfce7a967", "source": "enrollment", "source_instructor_id": "xlong8", "identity_basis": "netid", "identity_status": "source_identified", "name": "Xiaoyang Long", "email": "XIAOYANG.LONG@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": 3.89, "difficulty": 2.67, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:2490777", "source_url": "https://www.ratemyprofessors.com/professor/2490777", "match_basis": "exact_name", "observed_at": "2026-09-07 15:58:32.924769+00:00", "courses": { "course_aa7c4c79e460029847daaad2": { "review_count": 8, "quality": 4, "difficulty": 2.62, "quality_count": 8, "difficulty_count": 8 }, "course_21f40c328bd99550bd9f745f": { "review_count": 1, "quality": 3, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.7311626093424795, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/XIAOYANG_LONG" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG/OTM 423", "course_uid": "course_21f40c328bd99550bd9f745f", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "JOHN M. MC KELLER" ], "a": 7, "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": 7, "source_aliases": [ "MARKETNG/OTM 423" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG/OTM 423", "course_uid": "course_21f40c328bd99550bd9f745f", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "JOHN M. 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"term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Xiaoyang Long" ], "a": 20, "ab": 18, "b": 7, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 48, "source_aliases": [ "MARKETNG/OTM 423" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG/OTM 423", "course_uid": "course_21f40c328bd99550bd9f745f", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "MARK NICOLA", "TIMOTHY BUHL" ], "a": 11, "ab": 15, "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": 31, "source_aliases": [ "MARKETNG/OTM 423" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 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{ "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG/OTM 423", "course_uid": "course_21f40c328bd99550bd9f745f", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "JANE SCOTT", "TIMOTHY BUHL" ], "a": 17, "ab": 18, "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": 45, "source_aliases": [ "MARKETNG/OTM 423" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG/OTM 423", "course_uid": "course_21f40c328bd99550bd9f745f", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Xiaoyang Long" ], "a": 21, "ab": 13, "b": 10, "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": 45, "source_aliases": [ "MARKETNG/OTM 423" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG/OTM 423", "course_uid": "course_21f40c328bd99550bd9f745f", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "PAIGE VAN WART", "TIMOTHY BUHL" ], "a": 14, "ab": 21, "b": 4, "bc": 0, "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": 40, "source_aliases": [ "MARKETNG/OTM 423" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG/OTM 423", "course_uid": "course_21f40c328bd99550bd9f745f", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Xiaoyang Long" ], "a": 27, "ab": 22, "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": 59, "source_aliases": [ "MARKETNG/OTM 423" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG/OTM 423", "course_uid": "course_21f40c328bd99550bd9f745f", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "HANNAH MEYER", "TIMOTHY BUHL" ], "a": 6, "ab": 15, "b": 3, "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": 24, "source_aliases": [ "MARKETNG/OTM 423" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG/OTM 423", "course_uid": "course_21f40c328bd99550bd9f745f", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "HANNAH MEYER", "TIMOTHY BUHL" ], "a": 4, "ab": 15, "b": 4, "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": 23, "source_aliases": [ "MARKETNG/OTM 423" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG/OTM 423", "course_uid": "course_21f40c328bd99550bd9f745f", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Xiaoyang Long" ], "a": 10, "ab": 9, "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": 25, "source_aliases": [ "MARKETNG/OTM 423" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MARKETNG/OTM 423", "course_uid": "course_21f40c328bd99550bd9f745f", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "NATHAN ZUKAS", "TIMOTHY BUHL" ], "a": 8, "ab": 14, "b": 3, "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": 25, "source_aliases": [ "MARKETNG/OTM 423" ] } ] ``` ### statistics #### gpa 3.593 #### graded 1061 #### counts * 472 * 386 * 160 * 26 * 14 * 0 * 3 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_21f40c328bd99550bd9f745f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_21f40c328bd99550bd9f745f-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_21f40c328bd99550bd9f745f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_21f40c328bd99550bd9f745f-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_21f40c328bd99550bd9f745f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_21f40c328bd99550bd9f745f-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_21f40c328bd99550bd9f745f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_21f40c328bd99550bd9f745f-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_21f40c328bd99550bd9f745f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_21f40c328bd99550bd9f745f-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.5928369462770973 #### count 1061 #### university ##### size 5616 ##### gpa Percentile 32 ##### count Percentile 85 ##### median Count 212 ##### 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 | 335 | false | | 3.2–3.6 | 1493 | true | | 3.6–4.0 | 3778 | false | #### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 48, "gpaPercentile": 45, "countPercentile": 77, "medianCount": 456.5, "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": 22, "current": true }, { "range": "3.6–4.0", "count": 26, "current": false } ] } }, { "subject": "OTM", "comparison": { "size": 29, "gpaPercentile": 29, "countPercentile": 79, "medianCount": 396, "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": 7, "current": true }, { "range": "3.6–4.0", "count": 20, "current": false } ] } } ] ``` ### terms #### 1082 ##### term 1082 ##### gpa 4 ##### count 7 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | | OTM | | #### 1092 ##### term 1092 ##### gpa 3.7857142857142856 ##### count 21 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | | OTM | | #### 1102 ##### term 1102 ##### gpa 3.94 ##### count 25 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | | OTM | | #### 1112 ##### term 1112 ##### gpa 3.796875 ##### count 32 ##### university ###### size 805 ###### gpa Percentile 85 ###### count Percentile 6 ###### 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 | false | | 3.6–4.0 | 225 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 14, "gpaPercentile": 92, "countPercentile": 0, "medianCount": 51, "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": 8, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } }, { "subject": "OTM", "comparison": null } ] ``` #### 1122 ##### term 1122 ##### gpa 3.8375 ##### count 40 ##### university ###### size 804 ###### gpa Percentile 87 ###### count Percentile 20 ###### 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 | false | | 3.6–4.0 | 248 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 14, "gpaPercentile": 92, "countPercentile": 23, "medianCount": 61.5, "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": 6, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } }, { "subject": "OTM", "comparison": null } ] ``` #### 1132 ##### term 1132 ##### gpa 3.7162162162162162 ##### count 37 ##### university ###### size 851 ###### gpa Percentile 78 ###### count Percentile 14 ###### 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 | false | | 3.6–4.0 | 272 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 86, "countPercentile": 7, "medianCount": 69, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 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": 5, "current": true } ] } }, { "subject": "OTM", "comparison": null } ] ``` #### 1142 ##### term 1142 ##### gpa 3.5319148936170213 ##### count 47 ##### university ###### size 853 ###### gpa Percentile 64 ###### count Percentile 31 ###### 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": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 57, "countPercentile": 29, "medianCount": 50, "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": 10, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "OTM", "comparison": null } ] ``` #### 1144 ##### term 1144 ##### gpa 3.27027027027027 ##### count 37 ##### university ###### size 878 ###### gpa Percentile 39 ###### count Percentile 13 ###### 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": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 7, "countPercentile": 21, "medianCount": 49, "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": 3, "current": false } ] } }, { "subject": "OTM", "comparison": { "size": 11, "gpaPercentile": 20, "countPercentile": 20, "medianCount": 48, "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": 4, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.4464285714285716 ##### count 28 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | | OTM | | #### 1154 ##### term 1154 ##### gpa 3.388888888888889 ##### count 36 ##### university ###### size 935 ###### gpa Percentile 45 ###### count Percentile 12 ###### 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": "MARKETNG", "comparison": { "size": 12, "gpaPercentile": 36, "countPercentile": 0, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "OTM", "comparison": null } ] ``` #### 1162 ##### term 1162 ##### gpa 3.127906976744186 ##### count 43 ##### university ###### size 954 ###### gpa Percentile 22 ###### count Percentile 25 ###### median Count 64.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | true | | 3.2–3.6 | 350 | false | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 7, "countPercentile": 13, "medianCount": 89.5, "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": 2, "current": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "OTM", "comparison": null } ] ``` #### 1164 ##### term 1164 ##### gpa 3.5 ##### count 41 ##### university ###### size 965 ###### gpa Percentile 50 ###### count Percentile 23 ###### 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": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 43, "countPercentile": 21, "medianCount": 68, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 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": 10, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "OTM", "comparison": null } ] ``` #### 1172 ##### term 1172 ##### gpa 3.4583333333333335 ##### count 24 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | | OTM | | #### 1174 ##### term 1174 ##### gpa 3.730769230769231 ##### count 39 ##### university ###### size 955 ###### gpa Percentile 72 ###### count Percentile 16 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 29 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 87, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } }, { "subject": "OTM", "comparison": null } ] ``` #### 1182 ##### term 1182 ##### gpa 3.659090909090909 ##### count 22 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | | OTM | | #### 1184 ##### term 1184 ##### gpa 3.8333333333333335 ##### count 39 ##### university ###### size 1010 ###### gpa Percentile 81 ###### count Percentile 18 ###### 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": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 80, "countPercentile": 20, "medianCount": 55, "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": 10, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } }, { "subject": "OTM", "comparison": null } ] ``` #### 1192 ##### term 1192 ##### gpa 3.5344827586206895 ##### count 29 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | | OTM | | #### 1194 ##### term 1194 ##### gpa 3.585714285714286 ##### count 35 ##### university ###### size 1040 ###### gpa Percentile 55 ###### count Percentile 10 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | true | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 43, "countPercentile": 7, "medianCount": 72, "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": 7, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } }, { "subject": "OTM", "comparison": { "size": 10, "gpaPercentile": 44, "countPercentile": 0, "medianCount": 53, "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": 3, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.5961538461538463 ##### count 26 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | | OTM | | #### 1204 ##### term 1204 ##### gpa 3.6444444444444444 ##### count 45 ##### university ###### size 1012 ###### gpa Percentile 39 ###### count Percentile 29 ###### 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": "MARKETNG", "comparison": { "size": 15, "gpaPercentile": 50, "countPercentile": 43, "medianCount": 47, "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": 5, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } }, { "subject": "OTM", "comparison": null } ] ``` #### 1212 ##### term 1212 ##### gpa 3.596774193548387 ##### count 31 ##### university ###### size 1111 ###### gpa Percentile 45 ###### count Percentile 3 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | true | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 16, "gpaPercentile": 20, "countPercentile": 0, "medianCount": 66.5, "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": true }, { "range": "3.6–4.0", "count": 12, "current": false } ] } }, { "subject": "OTM", "comparison": { "size": 11, "gpaPercentile": 40, "countPercentile": 10, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.5595238095238093 ##### count 42 ##### university ###### size 1157 ###### gpa Percentile 43 ###### count Percentile 26 ###### 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": "MARKETNG", "comparison": { "size": 18, "gpaPercentile": 24, "countPercentile": 18, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 10, "current": false } ] } }, { "subject": "OTM", "comparison": { "size": 11, "gpaPercentile": 50, "countPercentile": 0, "medianCount": 49, "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": 5, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.663265306122449 ##### count 49 ##### university ###### size 1171 ###### gpa Percentile 53 ###### count Percentile 37 ###### 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 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 23, "gpaPercentile": 45, "countPercentile": 36, "medianCount": 58, "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": 16, "current": true } ] } }, { "subject": "OTM", "comparison": { "size": 10, "gpaPercentile": 44, "countPercentile": 33, "medianCount": 65.5, "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": 2, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.577777777777778 ##### count 45 ##### university ###### size 1216 ###### gpa Percentile 43 ###### count Percentile 29 ###### 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": "MARKETNG", "comparison": { "size": 21, "gpaPercentile": 40, "countPercentile": 45, "medianCount": 48, "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": 8, "current": true }, { "range": "3.6–4.0", "count": 12, "current": false } ] } }, { "subject": "OTM", "comparison": { "size": 12, "gpaPercentile": 45, "countPercentile": 18, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.6 ##### count 45 ##### university ###### size 1188 ###### gpa Percentile 45 ###### count Percentile 30 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "MARKETNG", "comparison": { "size": 25, "gpaPercentile": 46, "countPercentile": 38, "medianCount": 58, "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": 11, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } }, { "subject": "OTM", "comparison": { "size": 14, "gpaPercentile": 31, "countPercentile": 31, "medianCount": 48.5, "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": 3, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.5875 ##### count 40 ##### university ###### size 1295 ###### gpa Percentile 42 ###### count Percentile 24 ###### 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": "MARKETNG", "comparison": { "size": 19, "gpaPercentile": 44, "countPercentile": 11, "medianCount": 69, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } }, { "subject": "OTM", "comparison": { "size": 10, "gpaPercentile": 33, "countPercentile": 0, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.6186440677966103 ##### count 59 ##### university ###### size 1241 ###### gpa Percentile 45 ###### count Percentile 44 ###### 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": "MARKETNG", "comparison": { "size": 23, "gpaPercentile": 59, "countPercentile": 55, "medianCount": 57, "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": 10, "current": true } ] } }, { "subject": "OTM", "comparison": { "size": 14, "gpaPercentile": 38, "countPercentile": 38, "medianCount": 59.5, "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": 3, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.5625 ##### count 24 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | | OTM | | #### 1254 ##### term 1254 ##### gpa 3.5 ##### count 23 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | | OTM | | #### 1262 ##### term 1262 ##### gpa 3.58 ##### count 25 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | | OTM | | #### 1264 ##### term 1264 ##### gpa 3.6 ##### count 25 ##### departments | subject | comparison | | -------- | ---------- | | MARKETNG | | | OTM | | ### benchmarks #### all ##### school ###### size 5616 ###### gpa 3.6802285560420005 ###### top Share 83.05638835051442 ###### count 212 ##### MARKETNG ###### size 48 ###### gpa 3.6321433432396084 ###### top Share 81.70385707938225 ###### count 456.5 ##### OTM ###### size 29 ###### gpa 3.6505585515200836 ###### top Share 83.96350805950861 ###### count 396 #### terms ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### MARKETNG ###### size 13 ###### gpa 3.555144626819006 ###### top Share 73.22807090077647 ###### count 63 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### MARKETNG ###### size 12 ###### gpa 3.6729280167649585 ###### top Share 84.84025244811484 ###### count 54 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### MARKETNG ###### size 11 ###### gpa 3.59982416580592 ###### top Share 79.65239893839671 ###### count 41 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### MARKETNG ###### size 14 ###### gpa 3.4980091584163273 ###### top Share 70.18384110726859 ###### count 51 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### MARKETNG ###### size 14 ###### gpa 3.5584167442834986 ###### top Share 73.45620470686285 ###### count 61.5 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### MARKETNG ###### size 15 ###### gpa 3.471737930146271 ###### top Share 70.31146098668106 ###### count 69 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### MARKETNG ###### size 15 ###### gpa 3.4841465706309886 ###### top Share 70.26165466718561 ###### count 50 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### MARKETNG ###### size 15 ###### gpa 3.4661609502194115 ###### top Share 69.07984234038982 ###### count 49 ###### OTM ###### size 11 ###### gpa 3.462976525744885 ###### top Share 69.95636703651722 ###### count 48 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### MARKETNG ###### size 15 ###### gpa 3.477227982124518 ###### top Share 68.69085978208818 ###### count 87 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### MARKETNG ###### size 12 ###### gpa 3.4932521247260735 ###### top Share 70.62955269278628 ###### count 89 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### MARKETNG ###### size 16 ###### gpa 3.4908377363724963 ###### top Share 73.19122941226513 ###### count 89.5 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### MARKETNG ###### size 15 ###### gpa 3.5174907493786463 ###### top Share 74.18675244844495 ###### count 68 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### MARKETNG ###### size 16 ###### gpa 3.548212826248202 ###### top Share 75.02449016789356 ###### count 90 ###### OTM ###### size 10 ###### gpa 3.4783000153287085 ###### top Share 71.6859914834354 ###### count 44.5 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### MARKETNG ###### size 16 ###### gpa 3.5252212400674523 ###### top Share 72.03360675385316 ###### count 52.5 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### MARKETNG ###### size 16 ###### gpa 3.559382039481831 ###### top Share 77.43040910582185 ###### count 87.5 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### MARKETNG ###### size 16 ###### gpa 3.5768810082574327 ###### top Share 76.89483938726171 ###### count 55 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### MARKETNG ###### size 17 ###### gpa 3.585828116482426 ###### top Share 79.21346179651735 ###### count 78 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### MARKETNG ###### size 15 ###### gpa 3.5831559837896063 ###### top Share 78.75128949296631 ###### count 72 ###### OTM ###### size 10 ###### gpa 3.5097336309944316 ###### top Share 73.1903420482437 ###### count 53 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### MARKETNG ###### size 16 ###### gpa 3.583175799054984 ###### top Share 78.80655416507517 ###### count 83.5 ###### OTM ###### size 10 ###### gpa 3.534581673839522 ###### top Share 74.49250137381293 ###### count 74.5 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### MARKETNG ###### size 15 ###### gpa 3.711898594155838 ###### top Share 89.04767040292319 ###### count 47 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### MARKETNG ###### size 16 ###### gpa 3.70671270621466 ###### top Share 87.74126742620032 ###### count 66.5 ###### OTM ###### size 11 ###### gpa 3.672267222898701 ###### top Share 84.72011453981769 ###### count 83 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### MARKETNG ###### size 18 ###### gpa 3.667859956376553 ###### top Share 86.14155685495416 ###### count 70.5 ###### OTM ###### size 11 ###### gpa 3.5781739736365354 ###### top Share 79.16361895576048 ###### count 49 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### MARKETNG ###### size 23 ###### gpa 3.640927073704417 ###### top Share 82.52296214470145 ###### count 58 ###### OTM ###### size 10 ###### gpa 3.5951857089082777 ###### top Share 80.63380452473368 ###### count 65.5 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### MARKETNG ###### size 21 ###### gpa 3.646486622913183 ###### top Share 83.14179199968991 ###### count 48 ###### OTM ###### size 12 ###### gpa 3.585671741695119 ###### top Share 77.78869302836371 ###### count 68.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### MARKETNG ###### size 25 ###### gpa 3.6234775035319644 ###### top Share 80.59975420956242 ###### count 58 ###### OTM ###### size 14 ###### gpa 3.607764204100442 ###### top Share 81.13936302807947 ###### count 48.5 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### MARKETNG ###### size 19 ###### gpa 3.5793238314410947 ###### top Share 81.75222641772163 ###### count 69 ###### OTM ###### size 10 ###### gpa 3.5653695459223185 ###### top Share 79.16468431576865 ###### count 86.5 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### MARKETNG ###### size 23 ###### gpa 3.5744699156490247 ###### top Share 78.42184566175688 ###### count 57 ###### OTM ###### size 14 ###### gpa 3.6252833905307873 ###### top Share 84.08196544610176 ###### count 59.5 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### MARKETNG ###### size 17 ###### gpa 3.547655677832614 ###### top Share 77.26599046949728 ###### count 91 ###### OTM ###### size 12 ###### gpa 3.555179685077069 ###### top Share 76.40794711153062 ###### count 65 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### MARKETNG ###### size 17 ###### gpa 3.481456315169987 ###### top Share 71.32646556786042 ###### count 54 ###### OTM ###### size 11 ###### gpa 3.6304007337907063 ###### top Share 84.47180102587994 ###### count 53 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### MARKETNG ###### size 16 ###### gpa 3.550893499083995 ###### top Share 77.67608273860581 ###### count 70 ###### OTM ###### size 11 ###### gpa 3.5766145958590383 ###### top Share 78.7732068028908 ###### count 67 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### MARKETNG ###### size 16 ###### gpa 3.483591884557984 ###### top Share 73.98101796980842 ###### count 52.5 ## instructor Trends ```json [ { "uid": "instructor_f0344a685da2935855709ad4", "name": "JOHN M. MC KELLER", "count": 582, "terms": [ { "term": "1082", "count": 7, "sections": 1, "gpa": 4 }, { "term": "1092", "count": 21, "sections": 1, "gpa": 3.7857142857142856 }, { "term": "1102", "count": 25, "sections": 1, "gpa": 3.94 }, { "term": "1112", "count": 32, "sections": 1, "gpa": 3.796875 }, { "term": "1122", "count": 40, "sections": 1, "gpa": 3.8375 }, { "term": "1132", "count": 37, "sections": 1, "gpa": 3.7162162162162162 }, { "term": "1142", "count": 47, "sections": 1, "gpa": 3.5319148936170213 }, { "term": "1144", "count": 37, "sections": 1, "gpa": 3.27027027027027 }, { "term": "1152", "count": 28, "sections": 1, "gpa": 3.4464285714285716 }, { "term": "1154", "count": 36, "sections": 1, "gpa": 3.388888888888889 }, { "term": "1162", "count": 43, "sections": 1, "gpa": 3.127906976744186 }, { "term": "1164", "count": 41, "sections": 1, "gpa": 3.5 }, { "term": "1172", "count": 24, "sections": 2, "gpa": 3.4583333333333335 }, { "term": "1174", "count": 39, "sections": 1, "gpa": 3.730769230769231 }, { "term": "1182", "count": 22, "sections": 2, "gpa": 3.659090909090909 }, { "term": "1184", "count": 39, "sections": 1, "gpa": 3.8333333333333335 }, { "term": "1192", "count": 29, "sections": 2, "gpa": 3.5344827586206895 }, { "term": "1194", "count": 35, "sections": 1, "gpa": 3.585714285714286 } ] }, { "uid": "instructor_5ddee6048ebb5751a482ed7d", "name": "TIMOTHY BUHL", "count": 256, "terms": [ { "term": "1202", "count": 26, "sections": 1, "gpa": 3.5961538461538463 }, { "term": "1212", "count": 31, "sections": 1, "gpa": 3.596774193548387 }, { "term": "1222", "count": 42, "sections": 1, "gpa": 3.5595238095238093 }, { "term": "1232", "count": 45, "sections": 1, "gpa": 3.577777777777778 }, { "term": "1242", "count": 40, "sections": 1, "gpa": 3.5875 }, { "term": "1252", "count": 24, "sections": 1, "gpa": 3.5625 }, { "term": "1254", "count": 23, "sections": 1, "gpa": 3.5 }, { "term": "1264", "count": 25, "sections": 1, "gpa": 3.6 } ] }, { "uid": "instructor_0ba7b933ff9c84a6766e78e5", "name": "XIAOYANG LONG", "count": 223, "terms": [ { "term": "1204", "count": 45, "sections": 1, "gpa": 3.6444444444444444 }, { "term": "1224", "count": 49, "sections": 1, "gpa": 3.663265306122449 }, { "term": "1234", "count": 45, "sections": 1, "gpa": 3.6 }, { "term": "1244", "count": 59, "sections": 2, "gpa": 3.6186440677966103 }, { "term": "1262", "count": 25, "sections": 1, "gpa": 3.58 } ] }, { "uid": "instructor_3d9abb80c5a8eeae4e050262", "name": "HANNAH MEYER", "count": 47, "terms": [ { "term": "1252", "count": 24, "sections": 1, "gpa": 3.5625 }, { "term": "1254", "count": 23, "sections": 1, "gpa": 3.5 } ] }, { "uid": "instructor_27e3dc84f113c2539e3fe227", "name": "JANE SCOTT", "count": 45, "terms": [ { "term": "1232", "count": 45, "sections": 1, "gpa": 3.577777777777778 } ] }, { "uid": "instructor_ee43402d5c44393c5eb82832", "name": "AISHA HURSTON", "count": 42, "terms": [ { "term": "1222", "count": 42, "sections": 1, "gpa": 3.5595238095238093 } ] }, { "uid": "instructor_f5e4f43d0913c95a00297157", "name": "PAIGE VAN WART", "count": 40, "terms": [ { "term": "1242", "count": 40, "sections": 1, "gpa": 3.5875 } ] }, { "uid": "instructor_9e3818a50ba6ac23f13dcb90", "name": "MARK NICOLA", "count": 31, "terms": [ { "term": "1212", "count": 31, "sections": 1, "gpa": 3.596774193548387 } ] }, { "uid": "instructor_a5f5544899f663c83ff68119", "name": "NATHAN ZUKAS", "count": 25, "terms": [ { "term": "1264", "count": 25, "sections": 1, "gpa": 3.6 } ] } ] ``` ## following None recorded.