# Yong Cai — Courses & Reviews | UW–Madison [View on UW Courses](https://uwcourses.com/instructors/YONG_CAI) ## 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 | ## instructor ### instructor uid instructor\_75734a5a4676964c7fc47878 ### source enrollment ### source instructor id ycai247 ### identity basis netid ### identity status source\_identified ### name Yong Cai ### email YONG.CAI\@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 1 #### quality 5 #### difficulty 2 #### quality count 1 #### difficulty count 1 #### profile id rmp:3066860 #### source url #### match basis exact\_name #### observed at 2026-09-07 15:57:37.608076+00:00 #### courses ##### course 43ec9cdd7f32ec7681ab5d71 ###### review count 1 ###### quality 5 ###### difficulty 2 ###### quality count 1 ###### difficulty count 1 #### bayesian quality 3.7235102700443767 #### prior mean 3.6596857835465957 #### prior weight 20 ### current true ### courses | course\_uid | course\_id | title | credits\_min | credits\_max | gpa | | -------------------------------- | ---------- | --------------------------------------------- | ------------ | ------------ | ---- | | course\_01ccf4de474c3ea235009a48 | ECON 726 | APPLICATIONS OF MACHINE LEARNING IN ECONOMICS | 3 | 3 | 4 | | course\_43ec9cdd7f32ec7681ab5d71 | ECON 709 | ECONOMIC STATISTICS AND ECONOMETRICS I | 3 | 4 | 3.43 | ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### instructor url /instructors/YONG\_CAI ## history | term | course\_uid | course\_id | title | | ---- | -------------------------------- | ---------- | --------------------------------------------- | | 1272 | course\_43ec9cdd7f32ec7681ab5d71 | ECON 709 | ECONOMIC STATISTICS AND ECONOMETRICS I | | 1272 | course\_01ccf4de474c3ea235009a48 | ECON 726 | APPLICATIONS OF MACHINE LEARNING IN ECONOMICS | ## timeline | term | courses | | ---- | ------- | | 1272 | 2 | ## term 1272 ## courses ```json [ { "course_uid": "course_43ec9cdd7f32ec7681ab5d71", "course_id": "ECON 709", "title": "ECONOMIC STATISTICS AND ECONOMETRICS I", "credits_min": 3, "credits_max": 4, "gpa": 3.43, "badges": [], "description": "Introduction to economic statistics and econometrics, covering probability, inference, and regression.", "discovery": { "term": "1272", "offered": true, "history": { "counts": [ 97, 81, 82, 0, 0, 0, 1 ], "count": 261, "gpa": 3.5153256704980844, "topShare": 68.19923371647509, "firstTerm": "1232", "lastTerm": "1262" }, "instructors": [ { "course_uid": "course_43ec9cdd7f32ec7681ab5d71", "uid": "instructor_75734a5a4676964c7fc47878", "name": "Yong Cai", "quality": 3.7235102700443767, "quality_count": 1, "instructor_url": "/instructors/YONG_CAI" }, { "course_uid": "course_43ec9cdd7f32ec7681ab5d71", "uid": "instructor_73a0df33db132dd1c271a5a6", "name": "Jack Porter", "quality": 3.54839187631234, "quality_count": 15, "instructor_url": "/instructors/JACK_PORTER" }, { "course_uid": "course_43ec9cdd7f32ec7681ab5d71", "uid": "instructor_dc3e4f73ade255fc25d2b528", "name": "Junho Choi", "quality": null, "quality_count": null, "instructor_url": "/instructors/JUNHO_CHOI" } ], "instructorHistory": { "counts": [ 0, 0, 0, 0, 0, 0, 0 ], "count": 0, "gpa": null, "topShare": null }, "courseComparison": { "counts": [ 0, 0, 0, 0, 0, 0, 0 ], "count": 0, "gpa": null, "topShare": null }, "claim": { "citations": [ { "instructor_name": "Yong Cai", "review_date": "2024-12-30 16:56:48 +0000 UTC", "review_id": "d24d67070a3027f19a009ae4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3066860", "source_review_id": "UmF0aW5nLTQwNDYwMzcz", "source_url": "https://www.ratemyprofessors.com/professor/3066860", "type": "review" } ], "text": "Yong Cai provides thorough, easy-to-follow lecture notes with helpful examples, leading students to feel they learned a lot. However, his materials contain numerous typos, and the homework problems are reported as very easy." }, "reviewFiles": [ "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_43ec9cdd7f32ec7681ab5d71-0.json" ] } }, { "course_uid": "course_01ccf4de474c3ea235009a48", "course_id": "ECON 726", "title": "APPLICATIONS OF MACHINE LEARNING IN ECONOMICS", "credits_min": 3, "credits_max": 3, "gpa": 4, "badges": [ { "id": "lecture-size", "label": "Small lectures", "tone": "neutral", "evidence": "Fall 2026: median 17 enrolled students across 1 recorded lecture section. Small means 30 or fewer; large means 100 or more. Enrollment at scan time, not capacity or typical historical attendance.", "sources": [ { "label": "Sections and enrollment", "href": "/courses/ECON_726#schedule" } ] } ], "description": "ECON 726 teaches the application of machine learning techniques to economic research, focusing on causal inference and policy estimation.", "discovery": { "term": "1272", "offered": true, "history": { "counts": [ 8, 0, 0, 0, 0, 0, 0 ], "count": 8, "gpa": 4, "topShare": 100, "firstTerm": "1262", "lastTerm": "1262" }, "instructors": [ { "course_uid": "course_01ccf4de474c3ea235009a48", "uid": "instructor_75734a5a4676964c7fc47878", "name": "Yong Cai", "quality": 3.7235102700443767, "quality_count": 1, "instructor_url": "/instructors/YONG_CAI" }, { "course_uid": "course_01ccf4de474c3ea235009a48", "uid": "instructor_73a0df33db132dd1c271a5a6", "name": "Jack Porter", "quality": 3.54839187631234, "quality_count": 15, "instructor_url": "/instructors/JACK_PORTER" } ], "instructorHistory": { "counts": [ 0, 0, 0, 0, 0, 0, 0 ], "count": 0, "gpa": null, "topShare": null }, "courseComparison": { "counts": [ 0, 0, 0, 0, 0, 0, 0 ], "count": 0, "gpa": null, "topShare": null }, "claim": null, "reviewFiles": [] } } ] ``` ## reviews ### items ```json [ { "observed_at": "2026-09-07 15:57:37.608076+00:00", "run_id": "20260907T155543-ce3781c4", "source_review_id": "UmF0aW5nLTQwNDYwMzcz", "source_instructor_id": "rmp:3066860", "instructor_name": "Yong Cai", "course_label": "ECON709", "course_id": "ECON 709", "course_uid": "course_43ec9cdd7f32ec7681ab5d71", "review_date": "2024-12-30 16:56:48 +0000 UTC", "comment": "Very good! You can tell he's new; there were myriad typos in his lecture notes, and the homework problems were very easy.\n\nBut those lecture notes were great nonetheless! Thorough, easy to follow, with numerous helpful example problems. Feel like I learned a lot from him.", "source_url": "https://www.ratemyprofessors.com/professor/3066860", "quality_rating": 5, "difficulty_rating": 2 } ] ``` ### total 1 ### page 1 ### courses | course\_uid | course\_id | | -------------------------------- | ---------- | | course\_43ec9cdd7f32ec7681ab5d71 | ECON 709 | ### matched true ## social Image true