# MATH 444: Graphs and Networks in Data Science | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MATH_444) ## 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 3c2a465c5d870115ba3a10cb320f2db3f92da6e9bdeefaa3331d897f09747804 ### course id MATH 444 ### course uid course\_8b31dcae72f6377cdea586b3 ### catalog version id a3630f0f606541e2694a45addc0a899be2e148fe5c5cf48e0f31e9fd6047b03c ### course number 444 ### subjects * MATH ### title GRAPHS AND NETWORKS IN DATA SCIENCE ### description Mathematical foundations of networks with an emphasis on their applications in modern data science, using tools from algorithmic graph theory and linear algebra. Topics include: basics of graph theory, network statistics, graph traversal algorithms and implementation, matrix methods, community detection, PageRank, simulation of random graph models. ### requirements text (MATH 320,340,341,345, or375) and (COMP SCI 200,220,300,310, or placement intoCOMP SCI 300), graduate/professional standing, or declared in Mathematics VISP (undergraduate or graduate) ### credit offering ids None recorded. ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id b181902ac679d52cd79fcd6c88fb7b2f59bd4679b006385eeff25b1bf7fc8a16 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers mathematical foundations of networks, graph theory, and linear algebra for data science applications. ### llm topics * Graph theory and network statistics * Graph algorithms, matrix methods, and simulation ### llm skills * Applying graph theory and linear algebra to data science * Implementing graph algorithms and network analysis techniques ### llm assumed background * Linear algebra and matrix methods * Programming and algorithmic problem solving ### llm search phrases * graph theory data science * network analysis linear algebra * PageRank algorithm course * community detection algorithms * random graph models simulation ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 07d365c30392f4444a1deff368b0eb95358ea1fcafdad9a5bedf7de797c4f7aa #### course id MATH 444 #### current instructors None recorded. #### difficulty workload Historical reviews of Hanbaek Lyu: Tests are challenging but manageable for students who study and work consistently throughout the course. ```json { "citations": [ { "instructor_name": "Hanbaek Lyu", "review_date": "2025-04-28 15:59:25 +0000 UTC", "review_id": "b396a54bf1f11c7dc6781782", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2911773", "source_review_id": "UmF0aW5nLTQxMDY5NTA5", "source_url": "https://www.ratemyprofessors.com/professor/2911773", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Hanbaek Lyu describe him as caring and supportive of student learning. He is noted for flexibility with homework deadlines, though tests are challenging and require consistent study. ```json { "citations": [ { "instructor_name": "Hanbaek Lyu", "review_date": "2025-04-28 15:59:25 +0000 UTC", "review_id": "b396a54bf1f11c7dc6781782", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2911773", "source_review_id": "UmF0aW5nLTQxMDY5NTA5", "source_url": "https://www.ratemyprofessors.com/professor/2911773", "type": "review" } ] } ``` #### offered false #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews for Hanbaek Lyu describe an engaging instructor who prioritizes student learning and offers flexible deadlines, though exams require consistent study. ```json { "citations": [ { "instructor_name": "Hanbaek Lyu", "review_date": "2025-04-28 15:59:25 +0000 UTC", "review_id": "b396a54bf1f11c7dc6781782", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2911773", "source_review_id": "UmF0aW5nLTQxMDY5NTA5", "source_url": "https://www.ratemyprofessors.com/professor/2911773", "type": "review" } ] } ``` Recent recorded grades — Fall 2023: 3.75 GPA, 80.0% A/AB (n=20 letter grades); Spring 2025: 3.52 GPA, 57.1% A/AB (n=63 letter grades); Spring 2026: 2.97 GPA, 40.6% A/AB (n=69 letter grades). ```json { "citations": [ { "course_id": "MATH 444", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d141b624-2f80-36a9-aec3-74198ec21596", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MATH 444", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d141b624-2f80-36a9-aec3-74198ec21596", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MATH 444", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d141b624-2f80-36a9-aec3-74198ec21596", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Hanbaek Lyu: Reviewers appreciate the instructor's care for student learning and the frequent homework extensions, noting that tests are insightful. ```json { "citations": [ { "instructor_name": "Hanbaek Lyu", "review_date": "2025-04-28 15:59:25 +0000 UTC", "review_id": "b396a54bf1f11c7dc6781782", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2911773", "source_review_id": "UmF0aW5nLTQxMDY5NTA5", "source_url": "https://www.ratemyprofessors.com/professor/2911773", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history HANBAEK LYU is recorded teaching in Fall 2023, Spring 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MATH 444", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d141b624-2f80-36a9-aec3-74198ec21596", "source_record": { "entity_id": "d141b624-2f80-36a9-aec3-74198ec21596", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MATH 444", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d141b624-2f80-36a9-aec3-74198ec21596", "source_record": { "entity_id": "d141b624-2f80-36a9-aec3-74198ec21596", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": 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"course_number": 375, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "375", "id": "n12", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 200, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "COMP SCI 200", "id": "n13", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 220, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "220", "id": "n14", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "COMP SCI 300", "id": "n15", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 310, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "310", "id": "n16", "kind": "course" }, { "children": [], "condition": "placement intoCOMP SCI 300", "course": null, "evidence": "placement intoCOMP SCI 300", "id": "n17", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_11da40ed2a2bb6d06bf52104", "source": "madgrades", "source_instructor_id": "6398400", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HANBAEK LYU", "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": 3, "quality": 4, "difficulty": 3.67, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:2911773", "source_url": "https://www.ratemyprofessors.com/professor/2911773", "match_basis": "exact_name", "observed_at": "2026-09-07 16:37:22.761851+00:00", "courses": { "course_8b31dcae72f6377cdea586b3": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_85a2851be919e3db46f0fbc1": { "review_count": 2, "quality": 3.5, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.7040745943883437, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.45, "graded": 271, "counts": [ 129, 43, 69, 15, 9, 6, 0 ], "sections": 24 }, "instructor_url": "/instructors/HANBAEK_LYU" }, { "instructor_uid": "instructor_bfe4af4185f03aa74bee4a38", "source": "madgrades", "source_instructor_id": "6806556", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HAIXIAO WANG", "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": 3.154, "graded": 127, "counts": [ 46, 15, 36, 10, 11, 9, 0 ], "sections": 3 }, "instructor_url": "/instructors/HAIXIAO_WANG--instructor_bfe4af4185f03aa74bee4a38" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 444", "course_uid": "course_8b31dcae72f6377cdea586b3", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "HANBAEK LYU" ], "a": 15, "ab": 1, "b": 3, "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": 20, "source_aliases": [ "MATH 444" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 444", "course_uid": "course_8b31dcae72f6377cdea586b3", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "HANBAEK LYU" ], "a": 30, "ab": 6, "b": 26, "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": 1, "other": 0, "total": 64, "source_aliases": [ "MATH 444" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MATH 444", "course_uid": "course_8b31dcae72f6377cdea586b3", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "HAIXIAO WANG" ], "a": 21, "ab": 7, "b": 21, "bc": 5, "c": 6, "d": 9, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 69, "source_aliases": [ "MATH 444" ] } ] ``` ### statistics #### gpa 3.299 #### graded 152 #### counts * 66 * 14 * 50 * 7 * 6 * 9 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_8b31dcae72f6377cdea586b3-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_8b31dcae72f6377cdea586b3-0.json) #### traces * 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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 | 13 | false | | 2.8–3.2 | 205 | false | | 3.2–3.6 | 703 | true | | 3.6–4.0 | 1766 | false | #### departments ```json [ { "subject": "MATH", "comparison": { "size": 78, "gpaPercentile": 43, "countPercentile": 65, "medianCount": 75, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 22, "current": false }, { "range": "3.2–3.6", "count": 30, "current": true }, { "range": "3.6–4.0", "count": 21, "current": false } ] } } ] ``` ### terms #### 1242 ##### term 1242 ##### gpa 3.75 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | MATH | | #### 1254 ##### term 1254 ##### gpa 3.515873015873016 ##### count 63 ##### university ###### size 1289 ###### gpa Percentile 33 ###### count Percentile 47 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 84, "countPercentile": 32, "medianCount": 89, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 16, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 2.971014492753623 ##### count 69 ##### university ###### size 1283 ###### gpa Percentile 4 ###### count Percentile 51 ###### 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 | true | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "MATH", "comparison": { "size": 42, "gpaPercentile": 29, "countPercentile": 44, "medianCount": 80, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 7, "current": false }, { "range": "2.8–3.2", "count": 17, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 2689 ###### gpa 3.6640660757454966 ###### top Share 82.40048127119124 ###### count 80 ##### MATH ###### size 78 ###### gpa 3.3850578968486085 ###### top Share 65.80921467745247 ###### count 75 #### terms ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### MATH ###### size 43 ###### gpa 3.2449031633350183 ###### top Share 58.03783489438137 ###### count 80 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### MATH ###### size 39 ###### gpa 3.180435541912479 ###### top Share 53.878371816747475 ###### count 89 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### MATH ###### size 42 ###### gpa 3.13598176627681 ###### top Share 52.25969905887213 ###### count 80 ## instructor Trends ```json [ { "uid": "instructor_11da40ed2a2bb6d06bf52104", "name": "HANBAEK LYU", "count": 83, "terms": [ { "term": "1242", "count": 20, "sections": 1, "gpa": 3.75 }, { "term": "1254", "count": 63, "sections": 1, "gpa": 3.515873015873016 } ] }, { "uid": "instructor_bfe4af4185f03aa74bee4a38", "name": "HAIXIAO WANG", "count": 69, "terms": [ { "term": "1264", "count": 69, "sections": 1, "gpa": 2.971014492753623 } ] } ] ``` ## following None recorded.