{"schema_version":1,"url":"https://uwcourses.com/courses/COMPSCI_STAT_471","title":"COMPSCI/STAT 471: Introduction to Computational Statistics | UW–Madison","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":"AAE","count":90},{"subject":"ABT","count":20},{"subject":"ACCTIS","count":36},{"subject":"ACTSCI","count":14},{"subject":"AFAERO","count":10},{"subject":"AFRICAN","count":87},{"subject":"AFROAMER","count":71},{"subject":"AGROECOL","count":21},{"subject":"AMERIND","count":53},{"subject":"ANAT&PHY","count":7},{"subject":"ANATOMY","count":2},{"subject":"ANESTHES","count":8},{"subject":"ANSCI","count":57},{"subject":"ANTHRO","count":95},{"subject":"ART","count":125},{"subject":"ARTED","count":10},{"subject":"ARTHIST","count":121},{"subject":"ASIALANG","count":129},{"subject":"ASIAN","count":109},{"subject":"ASIANAM","count":28},{"subject":"ASTRON","count":38},{"subject":"ATMOCN","count":69},{"subject":"BIOCHEM","count":51},{"subject":"BIOCORE","count":10},{"subject":"BIOLOGY","count":14},{"subject":"BIOMDSCI","count":18},{"subject":"BME","count":66},{"subject":"BMI","count":41},{"subject":"BMOLCHEM","count":10},{"subject":"BOTANY","count":69},{"subject":"BSE","count":44},{"subject":"C&ESOC","count":73},{"subject":"CBE","count":48},{"subject":"CHEM","count":101},{"subject":"CHICLA","count":52},{"subject":"CIVENGR","count":133},{"subject":"CLASSICS","count":47},{"subject":"CNP","count":10},{"subject":"CNSRSCI","count":50},{"subject":"COMARTS","count":137},{"subject":"COMPBIO","count":15},{"subject":"COMPLIT","count":11},{"subject":"COMPSCI","count":138},{"subject":"COUNPSY","count":78},{"subject":"CRB","count":19},{"subject":"CS&D","count":71},{"subject":"CSCS","count":40},{"subject":"CURRIC","count":193},{"subject":"DANCE","count":93},{"subject":"DERM","count":8},{"subject":"DS","count":88},{"subject":"DYSCI","count":35},{"subject":"ECE","count":155},{"subject":"ECON","count":145},{"subject":"EDPOL","count":114},{"subject":"EDPSYCH","count":97},{"subject":"ELPA","count":70},{"subject":"EMA","count":53},{"subject":"EMERMED","count":17},{"subject":"ENGL","count":206},{"subject":"ENTOM","count":40},{"subject":"ENVIRST","count":148},{"subject":"EP","count":15},{"subject":"EPD","count":67},{"subject":"ESL","count":16},{"subject":"F&WECOL","count":60},{"subject":"FAMMED","count":22},{"subject":"FINANCE","count":50},{"subject":"FOLKLORE","count":40},{"subject":"FOODSCI","count":43},{"subject":"FRENCH","count":63},{"subject":"GEN&WS","count":145},{"subject":"GENBUS","count":72},{"subject":"GENECSLR","count":17},{"subject":"GENETICS","count":60},{"subject":"GEOG","count":113},{"subject":"GEOSCI","count":83},{"subject":"GERMAN","count":82},{"subject":"GLE","count":48},{"subject":"GNS","count":38},{"subject":"GREEK","count":27},{"subject":"HDFS","count":41},{"subject":"HEBR-BIB","count":13},{"subject":"HEBR-MOD","count":10},{"subject":"HISTORY","count":233},{"subject":"HISTSCI","count":56},{"subject":"HONCOL","count":13},{"subject":"ILS","count":43},{"subject":"INFOSYS","count":9},{"subject":"INTEGART","count":7},{"subject":"INTEGSCI","count":22},{"subject":"INTER-AG","count":18},{"subject":"INTER-HE","count":11},{"subject":"INTER-LS","count":22},{"subject":"INTEREGR","count":16},{"subject":"INTLBUS","count":21},{"subject":"INTLST","count":50},{"subject":"ISYE","count":83},{"subject":"ITALIAN","count":53},{"subject":"JEWISH","count":56},{"subject":"JOURN","count":88},{"subject":"KINES","count":128},{"subject":"LACIS","count":26},{"subject":"LANDARC","count":61},{"subject":"LATIN","count":24},{"subject":"LAW","count":120},{"subject":"LEGALST","count":48},{"subject":"LINGUIS","count":35},{"subject":"LIS","count":89},{"subject":"LITTRANS","count":78},{"subject":"LSC","count":52},{"subject":"M&ENVTOX","count":7},{"subject":"MARKETNG","count":62},{"subject":"MATH","count":153},{"subject":"MDGENET","count":8},{"subject":"ME","count":130},{"subject":"MEDHIST","count":43},{"subject":"MEDICINE","count":60},{"subject":"MEDIEVAL","count":32},{"subject":"MEDPHYS","count":39},{"subject":"MEDSC-M","count":29},{"subject":"MEDSC-V","count":41},{"subject":"MHR","count":68},{"subject":"MICROBIO","count":45},{"subject":"MILSCI","count":16},{"subject":"MM&I","count":22},{"subject":"MOLBIOL","count":6},{"subject":"MS&E","count":59},{"subject":"MUSIC","count":165},{"subject":"MUSPERF","count":126},{"subject":"NAVSCI","count":20},{"subject":"NE","count":44},{"subject":"NEURODPT","count":11},{"subject":"NEUROL","count":7},{"subject":"NEURSURG","count":4},{"subject":"NTP","count":11},{"subject":"NURSING","count":111},{"subject":"NUTRSCI","count":65},{"subject":"OBS&GYN","count":18},{"subject":"OCCTHER","count":39},{"subject":"ONCOLOGY","count":14},{"subject":"OPHTHALM","count":5},{"subject":"OTM","count":43},{"subject":"PATH","count":34},{"subject":"PATH-BIO","count":29},{"subject":"PEDIAT","count":26},{"subject":"PHARMACY","count":31},{"subject":"PHILOS","count":77},{"subject":"PHMCOL-M","count":11},{"subject":"PHMPRAC","count":45},{"subject":"PHMSCI","count":60},{"subject":"PHYASST","count":37},{"subject":"PHYSICS","count":88},{"subject":"PHYSIOL","count":3},{"subject":"PHYTHER","count":37},{"subject":"PLANTSCI","count":52},{"subject":"PLPATH","count":35},{"subject":"POLISCI","count":192},{"subject":"POPHLTH","count":58},{"subject":"PORTUG","count":33},{"subject":"PSYCH","count":101},{"subject":"PSYCHIAT","count":22},{"subject":"PUBAFFR","count":54},{"subject":"PUBLHLTH","count":23},{"subject":"RADIOL","count":11},{"subject":"REALEST","count":41},{"subject":"RELIGST","count":90},{"subject":"RHABMED","count":9},{"subject":"RMI","count":24},{"subject":"RP&SE","count":102},{"subject":"S&APHM","count":17},{"subject":"SCANDST","count":73},{"subject":"SLAVIC","count":89},{"subject":"SOC","count":149},{"subject":"SOCWORK","count":87},{"subject":"SOILSCI","count":46},{"subject":"SPANISH","count":83},{"subject":"SRMED","count":21},{"subject":"STAT","count":94},{"subject":"STDYABRD","count":52},{"subject":"STS","count":8},{"subject":"SURGERY","count":25},{"subject":"SURGSCI","count":33},{"subject":"THEATRE","count":91},{"subject":"URBRPL","count":60},{"subject":"UROLOGY","count":5},{"subject":"ZOOLOGY","count":89}],"deployed_at":null},"data":{"course":{"run_id":"20260907T155543-ce3781c4","semester":"1272","observed_at":"2026-09-07 15:55:43.033547+00:00","record_version_id":"a970da535c4759dc46addd2313af7a204ae2c1f51cdbf95b6791b0126854bdda","course_id":"COMPSCI/STAT 471","course_uid":"course_8f1b73751758944263fbb9e1","catalog_version_id":"1e1b5b22e7b1ed8e0943adf7b1452cd75de352256453a85371d3b36d98e72f52","course_number":471,"subjects":["COMPSCI","STAT"],"title":"INTRODUCTION TO COMPUTATIONAL STATISTICS","description":"Classical statistical procedures arise where closed-form mathematical expressions are available for various inference summaries (e.g. linear regression; analysis of variance). A major emphasis of modern statistics is the development of inference principles in cases where both more complex data structures are involved and where more elaborate computations are required. Topics from numerical linear algebra, optimization, Monte Carlo (including Markov chain Monte Carlo), and graph theory are developed, especially as they relate to statistical inference (e.g., bootstrapping, permutation, Bayesian inference, EM algorithm, multivariate analysis).","requirements_text":"STAT/​MATH  310and (STAT 333or340), graduate/professional standing, or declared in Statistics VISP","credits_min":null,"credits_max":null,"credit_offering_ids":[],"llm_job_id":"enrich-f516c4d3e82cfe326b4f5f54","llm_output_id":"5fc79bb1d0418767ab9d5ce3529d7dce3f09e0683ccaad4ff3a47a937e78416e","llm_model":"nvidia/Qwen3.6-35B-A3B-NVFP4","llm_model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","llm_task_version":"14","llm_search_status":"valid","llm_summary":"Introduction to computational statistics focusing on inference principles for complex data structures using numerical methods like Monte Carlo and optimization.","llm_topics":["Numerical linear algebra, optimization, Monte Carlo, and graph theory","Bootstrapping, permutation, Bayesian inference, EM algorithm, and multivariate analysis"],"llm_skills":["Developing inference principles for complex data and computations","Applying numerical linear algebra, optimization, Monte Carlo, and graph theory to statistical inference","Implementing bootstrapping, permutation tests, Bayesian inference, EM algorithm, and multivariate analysis"],"llm_assumed_background":["Probability, mathematical statistics, linear regression, and R programming","Prerequisite courses in statistics and mathematics"],"llm_search_phrases":["computational statistics","Monte Carlo methods","Markov chain Monte Carlo","EM algorithm","Bayesian inference","numerical linear algebra","optimization statistics"],"llm_requirements_status":"valid","llm_student_summary_status":"valid","llm_experience_status":"insufficient_evidence","catalog_variants":[],"student_summary":{"context_hash":"b8b4c9d8a803e6f9ca0f9d9522c352188b11a5eb96a1cf499a3678e7b302aaa4","course_id":"COMPSCI/STAT 471","current_instructors":[],"difficulty_workload":[{"citations":[{"instructor_name":"Fangfang Wang","review_date":"2018-04-10 17:13:08 +0000 UTC","review_id":"61dd7bdd22076587f2494e69","run_id":"20260907T155543-ce3781c4","source_instructor_id":"rmp:2346125","source_review_id":"UmF0aW5nLTI5Nzc3MzAx","source_url":"https://www.ratemyprofessors.com/professor/2346125","type":"review"},{"instructor_name":"Fangfang Wang","review_date":"2018-05-07 18:13:41 +0000 UTC","review_id":"c0a3d4ff846c9b0a2c5fa86f","run_id":"20260907T155543-ce3781c4","source_instructor_id":"rmp:2346125","source_review_id":"UmF0aW5nLTMwMDE1MDAx","source_url":"https://www.ratemyprofessors.com/professor/2346125","type":"review"}],"text":"Historical reviews of Fangfang Wang: Homework is described as really long, vague, and huge parts of the grade, requiring significant self-study due to rushed lectures."}],"errors":[],"historical_context":[{"citations":[{"instructor_name":"Fangfang Wang","review_date":"2018-04-10 17:13:08 +0000 UTC","review_id":"61dd7bdd22076587f2494e69","run_id":"20260907T155543-ce3781c4","source_instructor_id":"rmp:2346125","source_review_id":"UmF0aW5nLTI5Nzc3MzAx","source_url":"https://www.ratemyprofessors.com/professor/2346125","type":"review"},{"instructor_name":"Fangfang Wang","review_date":"2018-05-07 18:13:41 +0000 UTC","review_id":"c0a3d4ff846c9b0a2c5fa86f","run_id":"20260907T155543-ce3781c4","source_instructor_id":"rmp:2346125","source_review_id":"UmF0aW5nLTMwMDE1MDAx","source_url":"https://www.ratemyprofessors.com/professor/2346125","type":"review"}],"text":"Historical reviews of Fangfang Wang: Fangfang Wang's course features long, vague programming assignments that heavily impact grades, with no traditional exams but including quizzes and a final project. Lectures are criticized for covering excessive content too quickly, leading students to self-teach relevant material."}],"message":null,"offered":false,"profile_hash":"e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1","quick_take":[{"citations":[{"instructor_name":"Fangfang Wang","review_date":"2018-04-10 17:13:08 +0000 UTC","review_id":"61dd7bdd22076587f2494e69","run_id":"20260907T155543-ce3781c4","source_instructor_id":"rmp:2346125","source_review_id":"UmF0aW5nLTI5Nzc3MzAx","source_url":"https://www.ratemyprofessors.com/professor/2346125","type":"review"},{"instructor_name":"Fangfang Wang","review_date":"2018-05-07 18:13:41 +0000 UTC","review_id":"c0a3d4ff846c9b0a2c5fa86f","run_id":"20260907T155543-ce3781c4","source_instructor_id":"rmp:2346125","source_review_id":"UmF0aW5nLTMwMDE1MDAx","source_url":"https://www.ratemyprofessors.com/professor/2346125","type":"review"}],"text":"Historical reviews of Fangfang Wang: The course is heavily CS-focused with no exams, relying instead on long programming assignments, quizzes, and a final project."},{"citations":[{"course_id":"COMPSCI/STAT 471","run_id":"20260907T155543-ce3781c4","source_record":{"entity_id":"5e4fc331-6b9f-3607-8410-7d1e399c57eb","file":"tables/observations.parquet","kind":"grades","source":"madgrades"},"table":"grades_latest","term_id":"1204","type":"grade"},{"course_id":"COMPSCI/STAT 471","run_id":"20260907T155543-ce3781c4","source_record":{"entity_id":"5e4fc331-6b9f-3607-8410-7d1e399c57eb","file":"tables/observations.parquet","kind":"grades","source":"madgrades"},"table":"grades_latest","term_id":"1212","type":"grade"},{"course_id":"COMPSCI/STAT 471","run_id":"20260907T155543-ce3781c4","source_record":{"entity_id":"5e4fc331-6b9f-3607-8410-7d1e399c57eb","file":"tables/observations.parquet","kind":"grades","source":"madgrades"},"table":"grades_latest","term_id":"1262","type":"grade"}],"text":"Recent recorded grades — Spring 2020: 3.84 GPA, 89.7% A/AB (n=29 letter grades); Fall 2020: 2.50 GPA, 31.6% A/AB (n=19 letter grades); Fall 2025: 3.74 GPA, 94.7% A/AB (n=19 letter grades)."}],"student_experience":[{"citations":[{"instructor_name":"Fangfang Wang","review_date":"2018-05-07 18:13:41 +0000 UTC","review_id":"c0a3d4ff846c9b0a2c5fa86f","run_id":"20260907T155543-ce3781c4","source_instructor_id":"rmp:2346125","source_review_id":"UmF0aW5nLTMwMDE1MDAx","source_url":"https://www.ratemyprofessors.com/professor/2346125","type":"review"}],"text":"Historical reviews of Fangfang Wang: Lectures covered too much content in too little time, leading some students to tune out and teach themselves relevant material."}],"task_hash":"74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68","teaching_history":[{"citations":[{"course_id":"COMPSCI/STAT 471","run_id":"20260907T155543-ce3781c4","section_number":1,"source_course_id":"5e4fc331-6b9f-3607-8410-7d1e399c57eb","source_record":{"entity_id":"5e4fc331-6b9f-3607-8410-7d1e399c57eb","file":"tables/observations.parquet","kind":"grades","source":"madgrades"},"table":"section_grades_latest","term_id":"1184","type":"grade"},{"course_id":"COMPSCI/STAT 471","run_id":"20260907T155543-ce3781c4","section_number":1,"source_course_id":"5e4fc331-6b9f-3607-8410-7d1e399c57eb","source_record":{"entity_id":"5e4fc331-6b9f-3607-8410-7d1e399c57eb","file":"tables/observations.parquet","kind":"grades","source":"madgrades"},"table":"section_grades_latest","term_id":"1194","type":"grade"}],"text":"FANGFANG WANG is recorded teaching in Spring 2018, Spring 2019. Recorded history may be incomplete and does not establish a future schedule."}],"term_id":"1272","term_name":"2026 Fall","version":2},"requirements":{"nodes":[{"children":["n1","n6","n7"],"condition":null,"course":null,"evidence":"STAT/MATH 310and (STAT 333or340), graduate/professional standing, or declared in Statistics VISP","id":"n0","kind":"any"},{"children":["n2","n3"],"condition":null,"course":null,"evidence":"STAT/MATH 310and (STAT 333or340)","id":"n1","kind":"all"},{"children":[],"condition":null,"course":{"course_number":310,"minimum_grade":null,"subjects":["MATH","STAT"],"timing":"prior"},"evidence":"STAT/MATH 310","id":"n2","kind":"course"},{"children":["n4","n5"],"condition":null,"course":null,"evidence":"(STAT 333or340)","id":"n3","kind":"any"},{"children":[],"condition":null,"course":{"course_number":333,"minimum_grade":null,"subjects":["STAT"],"timing":"prior"},"evidence":"STAT 333","id":"n4","kind":"course"},{"children":[],"condition":null,"course":{"course_number":340,"minimum_grade":null,"subjects":["STAT"],"timing":"prior"},"evidence":"340","id":"n5","kind":"course"},{"children":[],"condition":"graduate/professional standing","course":null,"evidence":"graduate/professional standing","id":"n6","kind":"condition"},{"children":[],"condition":"declared in Statistics VISP","course":null,"evidence":"declared in Statistics VISP","id":"n7","kind":"condition"}],"notes":[],"root":"n0","status":"parsed"},"instructors":[],"offerings":[],"sections":[],"grade_instructors":[{"instructor_uid":"instructor_3ada7044de07e16f686058c1","source":"madgrades","source_instructor_id":"2602050","identity_basis":"source_id","identity_status":"source_identified","name":"DOUGLAS BATES","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":16,"quality":2.75,"difficulty":3.12,"quality_count":16,"difficulty_count":16,"profile_id":"rmp:383979","source_url":"https://www.ratemyprofessors.com/professor/383979","match_basis":"exact_name","observed_at":"2026-09-07 16:43:13.901690+00:00","courses":{},"bayesian_quality":3.2553809908592197,"prior_mean":3.6596857835465957,"prior_weight":20},"grade_statistics":{"gpa":3.145,"graded":567,"counts":[132,125,169,93,37,4,7],"sections":15},"instructor_url":"/instructors/DOUGLAS_BATES"},{"instructor_uid":"instructor_f371fd2a28dcb497f02e3fc5","source":"madgrades","source_instructor_id":"2601916","identity_basis":"source_id","identity_status":"source_identified","name":"MICHAEL NEWTON","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":3.776,"graded":441,"counts":[285,120,31,4,1,0,0],"sections":67},"instructor_url":"/instructors/MICHAEL_NEWTON--instructor_f371fd2a28dcb497f02e3fc5"},{"instructor_uid":"instructor_1dadda4e80ccda3b00d60248","source":"madgrades","source_instructor_id":"3783301","identity_basis":"source_id","identity_status":"source_identified","name":"FANGFANG 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","ratings":{"review_count":2,"quality":3,"difficulty":4.5,"quality_count":2,"difficulty_count":2,"profile_id":"rmp:2346125","source_url":"https://www.ratemyprofessors.com/professor/2346125","match_basis":"exact_name","observed_at":"2026-09-07 16:39:23.508204+00:00","courses":{"course_8f1b73751758944263fbb9e1":{"review_count":2,"quality":3,"difficulty":4.5,"quality_count":2,"difficulty_count":2}},"bayesian_quality":3.5997143486787233,"prior_mean":3.6596857835465957,"prior_weight":20},"grade_statistics":{"gpa":3.565,"graded":201,"counts":[84,76,30,7,3,1,0],"sections":6},"instructor_url":"/instructors/FANGFANG_WANG"},{"instructor_uid":"instructor_42031d9bf0b0b0f242d30ce4","source":"madgrades","source_instructor_id":"5170492","identity_basis":"source_id","identity_status":"source_identified","name":"YING ZHANG","email":null,"first_observed_at":"2026-09-06 23:14:58.172943+00:00","last_observed_at":"2026-09-07 15:55:43.033547+00:00","grade_statistics":{"gpa":3.828,"graded":29,"counts":[22,5,1,1,0,0,0],"sections":1},"instructor_url":"/instructors/YING_ZHANG"},{"instructor_uid":"instructor_be349776153ff3c511c3de89","source":"madgrades","source_instructor_id":"5905014","identity_basis":"source_id","identity_status":"source_identified","name":"SHAN LU","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":3.633,"graded":398,"counts":[222,98,52,18,6,2,0],"sections":8},"instructor_url":"/instructors/SHAN_LU"},{"instructor_uid":"instructor_8a33af6351d9ba19cb0b308a","source":"madgrades","source_instructor_id":"6253085","identity_basis":"source_id","identity_status":"source_identified","name":"HENRY MENDOZA RIVERA","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":3.245,"graded":355,"counts":[107,72,108,42,19,5,2],"sections":5},"instructor_url":"/instructors/HENRY_MENDOZA_RIVERA--instructor_8a33af6351d9ba19cb0b308a"},{"instructor_uid":"instructor_ebccd50a43f3c8007d148ac1","source":"madgrades","source_instructor_id":"6090509","identity_basis":"source_id","identity_status":"source_identified","name":"ELINA CHOI","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":3.643,"graded":210,"counts":[143,29,15,9,10,4,0],"sections":7},"instructor_url":"/instructors/ELINA_CHOI--instructor_ebccd50a43f3c8007d148ac1"},{"instructor_uid":"instructor_1172e88b5ae6ba42f3343950","source":"madgrades","source_instructor_id":"5694563","identity_basis":"source_id","identity_status":"source_identified","name":"BEHZAD AALIPUR HAFSHEJANI","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":3.617,"graded":551,"counts":[350,88,57,28,19,6,3],"sections":12},"instructor_url":"/instructors/BEHZAD_AALIPUR_HAFSHEJANI"},{"instructor_uid":"instructor_8bbaf0e94ced306bd3b3c10a","source":"madgrades","source_instructor_id":"6176657","identity_basis":"source_id","identity_status":"source_identified","name":"NICOLAS GARCIA TRILLOS","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":478,"counts":[297,75,56,26,16,5,3],"sections":36},"instructor_url":"/instructors/NICOLAS_GARCIA_TRILLOS--instructor_8bbaf0e94ced306bd3b3c10a"},{"instructor_uid":"instructor_d9e618b3ccbe558e29172b04","source":"madgrades","source_instructor_id":"6188409","identity_basis":"source_id","identity_status":"source_identified","name":"CAMERON JONES","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":15,"quality":4.67,"difficulty":2.67,"quality_count":15,"difficulty_count":15,"profile_id":"rmp:2974757","source_url":"https://www.ratemyprofessors.com/professor/2974757","match_basis":"exact_name","observed_at":"2026-09-07 16:50:06.132806+00:00","courses":{"course_03f8aaae24bac7658b319ca8":{"review_count":14,"quality":4.64,"difficulty":2.71,"quality_count":14,"difficulty_count":14},"course_f57701752c565e5b0c704a1d":{"review_count":1,"quality":5,"difficulty":2,"quality_count":1,"difficulty_count":1}},"bayesian_quality":4.092677590598055,"prior_mean":3.6596857835465957,"prior_weight":20},"grade_statistics":{"gpa":3.521,"graded":354,"counts":[166,84,73,19,11,0,1],"sections":7},"instructor_url":"/instructors/CAMERON_JONES--instructor_d9e618b3ccbe558e29172b04"}],"grades":[{"run_id":"20260907T155543-ce3781c4","semester":"1272","observed_at":"2026-09-07 15:55:43.033547+00:00","course_id":"COMPSCI/STAT 471","course_uid":"course_8f1b73751758944263fbb9e1","term_id":"1112","term_name":"Fall 2010","instructors":["DOUGLAS BATES"],"a":9,"ab":2,"b":8,"bc":1,"c":2,"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":22,"source_aliases":["COMPSCI/STAT 471"]},{"run_id":"20260907T155543-ce3781c4","semester":"1272","observed_at":"2026-09-07 15:55:43.033547+00:00","course_id":"COMPSCI/STAT 471","course_uid":"course_8f1b73751758944263fbb9e1","term_id":"1144","term_name":"Spring 2014","instructors":["Michael Newton"],"a":10,"ab":11,"b":4,"bc":1,"c":0,"d":0,"f":0,"satisfactory":1,"unsatisfactory":0,"credit":0,"no_credit":0,"passed":0,"incomplete":0,"no_work":0,"not_reported":0,"other":0,"total":27,"source_aliases":["COMPSCI/STAT 471"]},{"run_id":"20260907T155543-ce3781c4","semester":"1272","observed_at":"2026-09-07 15:55:43.033547+00:00","course_id":"COMPSCI/STAT 471","course_uid":"course_8f1b73751758944263fbb9e1","term_id":"1184","term_name":"Spring 2018","instructors":["FANGFANG WANG","Jing Zhang"],"a":22,"ab":5,"b":1,"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":29,"source_aliases":["COMPSCI/STAT 471"]},{"run_id":"20260907T155543-ce3781c4","semester":"1272","observed_at":"2026-09-07 15:55:43.033547+00:00","course_id":"COMPSCI/STAT 471","course_uid":"course_8f1b73751758944263fbb9e1","term_id":"1194","term_name":"Spring 2019","instructors":["FANGFANG WANG","SHAN LU"],"a":12,"ab":20,"b":16,"bc":6,"c":2,"d":1,"f":0,"satisfactory":1,"unsatisfactory":0,"credit":0,"no_credit":0,"passed":0,"incomplete":0,"no_work":0,"not_reported":0,"other":0,"total":58,"source_aliases":["COMPSCI/STAT 471"]},{"run_id":"20260907T155543-ce3781c4","semester":"1272","observed_at":"2026-09-07 15:55:43.033547+00:00","course_id":"COMPSCI/STAT 471","course_uid":"course_8f1b73751758944263fbb9e1","term_id":"1204","term_name":"Spring 2020","instructors":["ELINA CHOI","HENRY MENDOZA RIVERA"],"a":24,"ab":2,"b":2,"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":29,"source_aliases":["COMPSCI/STAT 471"]},{"run_id":"20260907T155543-ce3781c4","semester":"1272","observed_at":"2026-09-07 15:55:43.033547+00:00","course_id":"COMPSCI/STAT 471","course_uid":"course_8f1b73751758944263fbb9e1","term_id":"1212","term_name":"Fall 2020","instructors":["BEHZAD AALIPUR HAFSHEJANI","Nicolas Garcia Trillos"],"a":5,"ab":1,"b":2,"bc":4,"c":3,"d":2,"f":2,"satisfactory":0,"unsatisfactory":0,"credit":0,"no_credit":0,"passed":0,"incomplete":0,"no_work":0,"not_reported":0,"other":0,"total":19,"source_aliases":["COMPSCI/STAT 471"]},{"run_id":"20260907T155543-ce3781c4","semester":"1272","observed_at":"2026-09-07 15:55:43.033547+00:00","course_id":"COMPSCI/STAT 471","course_uid":"course_8f1b73751758944263fbb9e1","term_id":"1262","term_name":"Fall 2025","instructors":["CAMERON JONES","Michael Newton"],"a":12,"ab":6,"b":0,"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":19,"source_aliases":["COMPSCI/STAT 471"]}],"statistics":{"gpa":3.45,"graded":201,"counts":[94,47,33,14,8,3,2]},"grade_conflicts":[],"evidence":{"history":["/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_8f1b73751758944263fbb9e1-0.json"],"traces":["/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_8f1b73751758944263fbb9e1-0.json"],"reviews":["/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_8f1b73751758944263fbb9e1-0.json"],"results":["/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_8f1b73751758944263fbb9e1-0.json"]},"revision":"e243353dcb7d79b7247ced91d69443ef4c2a6349"},"context":{"all":{"term":"","gpa":3.4502487562189055,"count":201,"university":{"size":3558,"gpaPercentile":24,"countPercentile":73,"medianCount":97.5,"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":6,"current":false},{"range":"2.8–3.2","count":296,"current":false},{"range":"3.2–3.6","count":1039,"current":true},{"range":"3.6–4.0","count":2217,"current":false}]},"departments":[{"subject":"COMPSCI","comparison":{"size":89,"gpaPercentile":33,"countPercentile":58,"medianCount":176,"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":12,"current":false},{"range":"3.2–3.6","count":31,"current":true},{"range":"3.6–4.0","count":46,"current":false}]}},{"subject":"STAT","comparison":{"size":60,"gpaPercentile":29,"countPercentile":63,"medianCount":159.5,"histogram":[{"range":"0.0–0.4","count":0,"current":false},{"range":"0.4–0.8","count":0,"current":false},{"range":"0.8–1.2","count":0,"current":false},{"range":"1.2–1.6","count":0,"current":false},{"range":"1.6–2.0","count":0,"current":false},{"range":"2.0–2.4","count":0,"current":false},{"range":"2.4–2.8","count":0,"current":false},{"range":"2.8–3.2","count":7,"current":false},{"range":"3.2–3.6","count":26,"current":true},{"range":"3.6–4.0","count":27,"current":false}]}}]},"terms":{"1112":{"term":"1112","gpa":3.340909090909091,"count":22,"university":null,"departments":[{"subject":"COMPSCI","comparison":null},{"subject":"STAT","comparison":null}]},"1144":{"term":"1144","gpa":3.576923076923077,"count":26,"university":null,"departments":[{"subject":"COMPSCI","comparison":null},{"subject":"STAT","comparison":null}]},"1184":{"term":"1184","gpa":3.8275862068965516,"count":29,"university":null,"departments":[{"subject":"COMPSCI","comparison":null},{"subject":"STAT","comparison":null}]},"1194":{"term":"1194","gpa":3.263157894736842,"count":57,"university":{"size":1040,"gpaPercentile":28,"countPercentile":41,"medianCount":67,"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":23,"current":false},{"range":"2.8–3.2","count":220,"current":false},{"range":"3.2–3.6","count":342,"current":true},{"range":"3.6–4.0","count":454,"current":false}]},"departments":[{"subject":"COMPSCI","comparison":{"size":38,"gpaPercentile":46,"countPercentile":22,"medianCount":92,"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":1,"current":false},{"range":"2.8–3.2","count":15,"current":false},{"range":"3.2–3.6","count":11,"current":true},{"range":"3.6–4.0","count":11,"current":false}]}},{"subject":"STAT","comparison":{"size":23,"gpaPercentile":32,"countPercentile":18,"medianCount":79,"histogram":[{"range":"0.0–0.4","count":0,"current":false},{"range":"0.4–0.8","count":0,"current":false},{"range":"0.8–1.2","count":0,"current":false},{"range":"1.2–1.6","count":0,"current":false},{"range":"1.6–2.0","count":0,"current":false},{"range":"2.0–2.4","count":0,"current":false},{"range":"2.4–2.8","count":1,"current":false},{"range":"2.8–3.2","count":6,"current":false},{"range":"3.2–3.6","count":9,"current":true},{"range":"3.6–4.0","count":7,"current":false}]}}]},"1204":{"term":"1204","gpa":3.8448275862068964,"count":29,"university":null,"departments":[{"subject":"COMPSCI","comparison":null},{"subject":"STAT","comparison":null}]},"1212":{"term":"1212","gpa":2.5,"count":19,"university":null,"departments":[{"subject":"COMPSCI","comparison":null},{"subject":"STAT","comparison":null}]},"1262":{"term":"1262","gpa":3.736842105263158,"count":19,"university":null,"departments":[{"subject":"COMPSCI","comparison":null},{"subject":"STAT","comparison":null}]}},"benchmarks":{"all":{"school":{"size":3558,"gpa":3.652581003644356,"topShare":81.36702404783058,"count":97.5},"COMPSCI":{"size":89,"gpa":3.5752705370251325,"topShare":77.95621898606137,"count":176},"STAT":{"size":60,"gpa":3.566930608311878,"topShare":76.69818284873139,"count":159.5}},"terms":{"1112":{"school":{"size":805,"gpa":3.3737773184830386,"topShare":63.91039244872789,"count":66},"COMPSCI":{"size":27,"gpa":3.2907039795974518,"topShare":61.485726181424475,"count":41},"STAT":{"size":14,"gpa":3.242406375705586,"topShare":57.34276482904032,"count":68.5}},"1144":{"school":{"size":878,"gpa":3.4092443327803017,"topShare":65.95978235963416,"count":64},"COMPSCI":{"size":26,"gpa":3.263233863996996,"topShare":58.711877593449,"count":70.5},"STAT":{"size":14,"gpa":3.0970281238579784,"topShare":51.741770775379614,"count":74.5}},"1184":{"school":{"size":1010,"gpa":3.47925290354517,"topShare":70.86270937115944,"count":68},"COMPSCI":{"size":31,"gpa":3.329310414227759,"topShare":61.243618316797935,"count":126},"STAT":{"size":25,"gpa":3.460210558661105,"topShare":70.42953406269322,"count":70}},"1194":{"school":{"size":1040,"gpa":3.4906527436719808,"topShare":71.74728845515045,"count":67},"COMPSCI":{"size":38,"gpa":3.3433846242383978,"topShare":63.409438479169644,"count":92},"STAT":{"size":23,"gpa":3.3818127863152334,"topShare":66.9295898310719,"count":79}},"1204":{"school":{"size":1012,"gpa":3.703747431523761,"topShare":84.59811226304916,"count":65.5},"COMPSCI":{"size":42,"gpa":3.6240893265324647,"topShare":79.98991493017058,"count":90.5},"STAT":{"size":27,"gpa":3.6537351147420534,"topShare":80.87794592686507,"count":56}},"1212":{"school":{"size":1111,"gpa":3.5856416028074487,"topShare":77.58926748660845,"count":68},"COMPSCI":{"size":42,"gpa":3.450396020252364,"topShare":69.90950224603134,"count":96},"STAT":{"size":25,"gpa":3.4555542540486095,"topShare":69.54152339778892,"count":100}},"1262":{"school":{"size":1320,"gpa":3.628825763035853,"topShare":80.21118846327654,"count":70},"COMPSCI":{"size":53,"gpa":3.533845597774486,"topShare":75.31824598445624,"count":82},"STAT":{"size":29,"gpa":3.415022952129974,"topShare":64.95385808199006,"count":81}}}}},"instructorTrends":[{"uid":"instructor_1dadda4e80ccda3b00d60248","name":"FANGFANG WANG","count":86,"terms":[{"term":"1184","count":29,"sections":1,"gpa":3.8275862068965516},{"term":"1194","count":57,"sections":1,"gpa":3.263157894736842}]},{"uid":"instructor_be349776153ff3c511c3de89","name":"SHAN LU","count":57,"terms":[{"term":"1194","count":57,"sections":1,"gpa":3.263157894736842}]},{"uid":"instructor_f371fd2a28dcb497f02e3fc5","name":"MICHAEL NEWTON","count":45,"terms":[{"term":"1144","count":26,"sections":1,"gpa":3.576923076923077},{"term":"1262","count":19,"sections":2,"gpa":3.736842105263158}]},{"uid":"instructor_42031d9bf0b0b0f242d30ce4","name":"YING ZHANG","count":29,"terms":[{"term":"1184","count":29,"sections":1,"gpa":3.8275862068965516}]},{"uid":"instructor_8a33af6351d9ba19cb0b308a","name":"HENRY MENDOZA RIVERA","count":29,"terms":[{"term":"1204","count":29,"sections":2,"gpa":3.8448275862068964}]},{"uid":"instructor_ebccd50a43f3c8007d148ac1","name":"ELINA CHOI","count":29,"terms":[{"term":"1204","count":29,"sections":2,"gpa":3.8448275862068964}]},{"uid":"instructor_3ada7044de07e16f686058c1","name":"DOUGLAS BATES","count":22,"terms":[{"term":"1112","count":22,"sections":1,"gpa":3.340909090909091}]},{"uid":"instructor_1172e88b5ae6ba42f3343950","name":"BEHZAD AALIPUR HAFSHEJANI","count":19,"terms":[{"term":"1212","count":19,"sections":1,"gpa":2.5}]},{"uid":"instructor_8bbaf0e94ced306bd3b3c10a","name":"NICOLAS GARCIA TRILLOS","count":19,"terms":[{"term":"1212","count":19,"sections":1,"gpa":2.5}]},{"uid":"instructor_d9e618b3ccbe558e29172b04","name":"CAMERON JONES","count":19,"terms":[{"term":"1262","count":19,"sections":1,"gpa":3.736842105263158}]}],"following":[],"projection":null}}