[{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_6c482ec020432fe1bd6dc1fc","course_id":"COMPSCI/ECE 561","catalog_version_id":"8077732fbc1e1adc39422c816f3f5db79716ada785c7d05fcc63c61f60de4190","record_version_id":"58e5d5e6617968cbd60189cae88b1058b2f11bf878a09aa15bd6dee1df8a014f","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"9c2f084b4b97479369399e69c489b6c5247bf870197556da11607029904cb6d5","section":"requirements","status":"needs_review","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\"],\"condition\":null,\"course\":null,\"evidence\":\"(MATH 320,340,341,375, orM E/COMP SCI/E C E 532or concur enroll) and (E C E 331,STAT/MATH 309,431,STAT 311,324,424,MATH 531, or M E 424 prior to Fall 2026), grad/profsnl standing, or decl in Capstone Cert in Computer Sciences for Professionals\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[\"n4\",\"n5\"],\"condition\":null,\"course\":null,\"evidence\":\"(MATH 320,340,341,375, orM E/COMP SCI/E C E 532or concur enroll)\",\"id\":\"n1\",\"kind\":\"all\"},{\"children\":[\"n6\",\"n7\",\"n8\",\"n9\",\"n10\",\"n11\"],\"condition\":null,\"course\":null,\"evidence\":\"(E C E 331,STAT/MATH 309,431,STAT 311,324,424,MATH 531, or M E 424 prior to Fall 2026)\",\"id\":\"n2\",\"kind\":\"any\"},{\"children\":[],\"condition\":\"grad/profsnl standing\",\"course\":null,\"evidence\":\"grad/profsnl standing\",\"id\":\"n3\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"decl in Capstone Cert in Computer Sciences for Professionals\",\"course\":null,\"evidence\":\"decl in Capstone Cert in Computer Sciences for Professionals\",\"id\":\"n4\",\"kind\":\"condition\"},{\"children\":[\"n12\",\"n13\",\"n14\",\"n15\",\"n16\"],\"condition\":null,\"course\":null,\"evidence\":\"MATH 320,340,341,375, orM E/COMP SCI/E C E 532or concur enroll\",\"id\":\"n5\",\"kind\":\"any\"},{\"children\":[],\"condition\":\"M E 424 prior to Fall 2026\",\"course\":null,\"evidence\":\"M E 424 prior to Fall 2026\",\"id\":\"n6\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"STAT/MATH 309\",\"course\":null,\"evidence\":\"STAT/MATH 309\",\"id\":\"n7\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"431\",\"course\":null,\"evidence\":\"431\",\"id\":\"n8\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"STAT 311\",\"course\":null,\"evidence\":\"STAT 311\",\"id\":\"n9\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"324\",\"course\":null,\"evidence\":\"324\",\"id\":\"n10\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"424\",\"course\":null,\"evidence\":\"424\",\"id\":\"n11\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"MATH 531\",\"course\":null,\"evidence\":\"MATH 531\",\"id\":\"n12\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"E C E 331\",\"course\":null,\"evidence\":\"E C E 331\",\"id\":\"n13\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"MATH 320\",\"course\":null,\"evidence\":\"MATH 320\",\"id\":\"n14\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"340\",\"course\":null,\"evidence\":\"340\",\"id\":\"n15\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"341\",\"course\":null,\"evidence\":\"341\",\"id\":\"n16\",\"kind\":\"condition\"}],\"notes\":[\"Multiple course references in requirements_text (e.g., 431, 324, 424, 340, 341) are unlinked and lack full subject/course_number context, requiring review.\",\"The phrase 'or concur enroll' applies to the MATH/ECE 532 option in the first clause, but the parsing treats it as a separate condition leaf due to ambiguity.\",\"The phrase 'prior to Fall 2026' applies to M E 424, but the Boolean grouping of 'prior' vs 'concur' across the entire list is ambiguous.\",\"STAT/MATH 309 is treated as a single condition leaf; it may refer to a cross-listed course or two separate courses.\"],\"root\":\"n0\",\"status\":\"needs_review\"}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_6c482ec020432fe1bd6dc1fc","course_id":"COMPSCI/ECE 561","catalog_version_id":"8077732fbc1e1adc39422c816f3f5db79716ada785c7d05fcc63c61f60de4190","record_version_id":"58e5d5e6617968cbd60189cae88b1058b2f11bf878a09aa15bd6dee1df8a014f","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"9c2f084b4b97479369399e69c489b6c5247bf870197556da11607029904cb6d5","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Probabilistic tools for machine learning and analysis of real-world datasets.\"},{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"requirements_text\",\"quote\":\"(MATH 320,340,341,375, orM E/COMP SCI/E C E 532or concur enroll) and (E C E 331,STAT/MATH 309,431,STAT 311,324,424,MATH 531, or M E 424 prior to Fall 2026)\"}],\"text\":\"Linear algebra and differential equations, matrix methods, and probability/statistics fundamentals.\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/ME 532\",\"field\":\"description\",\"quote\":\"Linear algebraic foundations of machine learning featuring real-world applications of matrix methods from classification and clustering to denoising and data analysis.\"},{\"course_id\":\"MATH 320\",\"field\":\"description\",\"quote\":\"An introduction to linear algebra and differential equations with emphasis on the relationship between the theory of linear algebra and analytical and numerical techniques for solving differential equations.\"}],\"text\":\"Matrix algebra, linear systems, and numerical methods for differential equations.\"},{\"evidence\":[{\"course_id\":\"ECE 331\",\"field\":\"description\",\"quote\":\"Introduction to probability, random variables, and random processes. Confidence intervals, introduction to experimental design and hypothesis testing.\"}],\"text\":\"Probability theory, random variables, and statistical analysis.\"}],\"search_phrases\":[\"probabilistic machine learning\",\"information theory entropy\",\"naive Bayes classification\",\"probabilistic graphical models\",\"variational inference\",\"expectation maximization\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Introductory topics include classification, regression, probability theory, decision theory and quantifying information with entropy, relative entropy and mutual information.\"}],\"text\":\"Classification, regression, and decision theory.\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Additional topics include naive Bayes, probabilistic graphical models, discriminant analysis, logistic regression, expectation maximization, source coding and variational inference.\"}],\"text\":\"Naive Bayes, probabilistic graphical models, and variational inference.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"title\",\"quote\":\"PROBABILITY AND INFORMATION THEORY IN MACHINE LEARNING\"},{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Probabilistic tools for machine learning and analysis of real-world datasets.\"}],\"text\":\"Covers probabilistic tools and information theory for machine learning, including classification, regression, and graphical models.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"probability theory, decision theory and quantifying information with entropy, relative entropy and mutual information.\"}],\"text\":\"Probability theory, decision theory, and information measures.\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"naive Bayes, probabilistic graphical models, discriminant analysis, logistic regression, expectation maximization, source coding and variational inference.\"}],\"text\":\"Naive Bayes, graphical models, and variational inference.\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_6c482ec020432fe1bd6dc1fc","course_id":"COMPSCI/ECE 561","catalog_version_id":"8077732fbc1e1adc39422c816f3f5db79716ada785c7d05fcc63c61f60de4190","record_version_id":"58e5d5e6617968cbd60189cae88b1058b2f11bf878a09aa15bd6dee1df8a014f","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"9c2f084b4b97479369399e69c489b6c5247bf870197556da11607029904cb6d5","section":"student_experience","status":"insufficient_evidence","value_json":"{\"status\":\"insufficient_evidence\",\"themes\":[]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_6c482ec020432fe1bd6dc1fc","course_id":"COMPSCI/ECE 561","catalog_version_id":"8077732fbc1e1adc39422c816f3f5db79716ada785c7d05fcc63c61f60de4190","record_version_id":"58e5d5e6617968cbd60189cae88b1058b2f11bf878a09aa15bd6dee1df8a014f","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"2539a1ce72b155e03fc4cf97e14009d04fdc7693fc15a9076b5f4e7332c28a24","section":"requirements","status":"invalid","value_json":null,"candidate_json":"{\"nodes\":[{\"children\":[\"req_prereq_math\",\"req_prereq_ece_stat\",\"req_standing\"],\"condition\":null,\"course\":null,\"evidence\":\"(MATH 320,340,341,375, orM E/COMP SCI/E C E 532or concur enroll) and (E C E 331,STAT/MATH 309,431,STAT 311,324,424,MATH 531, or M E 424 prior to Fall 2026), grad/profsnl standing, or decl in Capstone Cert in Computer Sciences for Professionals\",\"id\":\"req_root\",\"kind\":\"all\"},{\"children\":[\"req_math_320\",\"req_math_340\",\"req_math_341\",\"req_math_375\",\"req_math_532\"],\"condition\":null,\"course\":null,\"evidence\":\"(MATH 320,340,341,375, orM E/COMP SCI/E C E 532or concur enroll)\",\"id\":\"req_prereq_math\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":320,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"MATH 320\",\"id\":\"req_math_320\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":340,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"340\",\"id\":\"req_math_340\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":341,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"341\",\"id\":\"req_math_341\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":375,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"375\",\"id\":\"req_math_375\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":532,\"minimum_grade\":null,\"subjects\":[\"COMPSCI\",\"ECE\",\"ME\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"M E/COMP SCI/E C E 532\",\"id\":\"req_math_532\",\"kind\":\"course\"},{\"children\":[\"req_ece_331\",\"req_stat_math_309\",\"req_stat_math_431\",\"req_stat_311\",\"req_stat_324\",\"req_stat_424\",\"req_math_531\",\"req_me_424\"],\"condition\":null,\"course\":null,\"evidence\":\"(E C E 331,STAT/MATH 309,431,STAT 311,324,424,MATH 531, or M E 424 prior to Fall 2026)\",\"id\":\"req_prereq_ece_stat\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":331,\"minimum_grade\":null,\"subjects\":[\"ECE\"],\"timing\":\"prior\"},\"evidence\":\"E C E 331\",\"id\":\"req_ece_331\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":309,\"minimum_grade\":null,\"subjects\":[\"MATH\",\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"STAT/MATH 309\",\"id\":\"req_stat_math_309\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":431,\"minimum_grade\":null,\"subjects\":[\"MATH\",\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"431\",\"id\":\"req_stat_math_431\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":311,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"STAT 311\",\"id\":\"req_stat_311\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":324,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"324\",\"id\":\"req_stat_324\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":424,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"424\",\"id\":\"req_stat_424\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":531,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"MATH 531\",\"id\":\"req_math_531\",\"kind\":\"course\"},{\"children\":[],\"condition\":\"M E 424 prior to Fall 2026\",\"course\":null,\"evidence\":\"M E 424 prior to Fall 2026\",\"id\":\"req_me_424\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"grad/profsnl standing, or decl in Capstone Cert in Computer Sciences for Professionals\",\"course\":null,\"evidence\":\"grad/profsnl standing, or decl in Capstone Cert in Computer Sciences for Professionals\",\"id\":\"req_standing\",\"kind\":\"any\"}],\"notes\":[\"ME 424 is not in linked_courses, so it is treated as a condition.\",\"Standing/Program requirements are treated as conditions.\"],\"root\":\"req_root\",\"status\":\"needs_review\"}","error":"Boolean groups require at least two children","model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_6c482ec020432fe1bd6dc1fc","course_id":"COMPSCI/ECE 561","catalog_version_id":"8077732fbc1e1adc39422c816f3f5db79716ada785c7d05fcc63c61f60de4190","record_version_id":"58e5d5e6617968cbd60189cae88b1058b2f11bf878a09aa15bd6dee1df8a014f","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"2539a1ce72b155e03fc4cf97e14009d04fdc7693fc15a9076b5f4e7332c28a24","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Probabilistic tools for machine learning and analysis of real-world datasets.\"},{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"requirements_text\",\"quote\":\"(MATH 320,340,341,375, orM E/COMP SCI/E C E 532or concur enroll) and (E C E 331,STAT/MATH 309,431,STAT 311,324,424,MATH 531, or M E 424 prior to Fall 2026)\"}],\"text\":\"Linear algebra and differential equations, matrix methods, and probability/statistics fundamentals.\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/ME 532\",\"field\":\"description\",\"quote\":\"Linear algebraic foundations of machine learning featuring real-world applications of matrix methods from classification and clustering to denoising and data analysis.\"},{\"course_id\":\"MATH 320\",\"field\":\"description\",\"quote\":\"An introduction to linear algebra and differential equations with emphasis on the relationship between the theory of linear algebra and analytical and numerical techniques for solving differential equations.\"}],\"text\":\"Matrix algebra, linear systems, and numerical methods for differential equations.\"},{\"evidence\":[{\"course_id\":\"ECE 331\",\"field\":\"description\",\"quote\":\"Introduction to probability, random variables, and random processes. Confidence intervals, introduction to experimental design and hypothesis testing.\"}],\"text\":\"Probability theory, random variables, and statistical analysis.\"}],\"search_phrases\":[\"probabilistic machine learning\",\"information theory entropy\",\"naive Bayes classification\",\"probabilistic graphical models\",\"variational inference\",\"expectation maximization\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Introductory topics include classification, regression, probability theory, decision theory and quantifying information with entropy, relative entropy and mutual information.\"}],\"text\":\"Classification, regression, and decision theory.\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Additional topics include naive Bayes, probabilistic graphical models, discriminant analysis, logistic regression, expectation maximization, source coding and variational inference.\"}],\"text\":\"Naive Bayes, probabilistic graphical models, and variational inference.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"title\",\"quote\":\"PROBABILITY AND INFORMATION THEORY IN MACHINE LEARNING\"},{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Probabilistic tools for machine learning and analysis of real-world datasets.\"}],\"text\":\"Covers probabilistic tools and information theory for machine learning, including classification, regression, and graphical models.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"probability theory, decision theory and quantifying information with entropy, relative entropy and mutual information.\"}],\"text\":\"Probability theory, decision theory, and information measures.\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"naive Bayes, probabilistic graphical models, discriminant analysis, logistic regression, expectation maximization, source coding and variational inference.\"}],\"text\":\"Naive Bayes, graphical models, and variational inference.\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_6c482ec020432fe1bd6dc1fc","course_id":"COMPSCI/ECE 561","catalog_version_id":"8077732fbc1e1adc39422c816f3f5db79716ada785c7d05fcc63c61f60de4190","record_version_id":"58e5d5e6617968cbd60189cae88b1058b2f11bf878a09aa15bd6dee1df8a014f","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"2539a1ce72b155e03fc4cf97e14009d04fdc7693fc15a9076b5f4e7332c28a24","section":"student_experience","status":"valid","value_json":"{\"status\":\"supported\",\"themes\":[{\"aspect\":\"teaching_clarity\",\"evidence\":[{\"comment\":\"His lectures are really difficult to follow and he seems to lecture as if you already know the material and he is just reviewing it. 3 tricky exams of 4-5 questions determine 60% of your grade. That being said, he is highly knowledgeable, and curves well. I think most students got A or AB. The course is just needlessly stressful due to logistics.\",\"course_id\":\"COMPSCI/ECE 561\",\"date\":\"2023-12-26 14:56:30 +0000 UTC\",\"difficulty_rating\":4,\"id\":\"6da86aff22c530acdf8fd7e5\",\"instructor_id\":\"rmp:1488414\",\"instructor_name\":\"John Gubner\",\"quality_rating\":2,\"source_review_id\":\"UmF0aW5nLTM4Nzk0NzUx\",\"source_url\":\"https://www.ratemyprofessors.com/professor/1488414\"}],\"evidence_count\":1,\"review_ids\":[\"6da86aff22c530acdf8fd7e5\"],\"scope\":{\"historical\":true,\"instructors\":[{\"id\":\"rmp:1488414\",\"name\":\"John Gubner\"}],\"review_year_end\":\"2023\",\"review_year_start\":\"2023\"},\"sentiment\":\"negative\",\"summary\":\"Lectures are difficult to follow, assuming prior knowledge.\"},{\"aspect\":\"workload\",\"evidence\":[{\"comment\":\"His lectures are really difficult to follow and he seems to lecture as if you already know the material and he is just reviewing it. 3 tricky exams of 4-5 questions determine 60% of your grade. That being said, he is highly knowledgeable, and curves well. I think most students got A or AB. The course is just needlessly stressful due to logistics.\",\"course_id\":\"COMPSCI/ECE 561\",\"date\":\"2023-12-26 14:56:30 +0000 UTC\",\"difficulty_rating\":4,\"id\":\"6da86aff22c530acdf8fd7e5\",\"instructor_id\":\"rmp:1488414\",\"instructor_name\":\"John Gubner\",\"quality_rating\":2,\"source_review_id\":\"UmF0aW5nLTM4Nzk0NzUx\",\"source_url\":\"https://www.ratemyprofessors.com/professor/1488414\"}],\"evidence_count\":1,\"review_ids\":[\"6da86aff22c530acdf8fd7e5\"],\"scope\":{\"historical\":true,\"instructors\":[{\"id\":\"rmp:1488414\",\"name\":\"John Gubner\"}],\"review_year_end\":\"2023\",\"review_year_start\":\"2023\"},\"sentiment\":\"negative\",\"summary\":\"Course is needlessly stressful due to logistics and tricky exams.\"},{\"aspect\":\"overall\",\"evidence\":[{\"comment\":\"His lectures are really difficult to follow and he seems to lecture as if you already know the material and he is just reviewing it. 3 tricky exams of 4-5 questions determine 60% of your grade. That being said, he is highly knowledgeable, and curves well. I think most students got A or AB. The course is just needlessly stressful due to logistics.\",\"course_id\":\"COMPSCI/ECE 561\",\"date\":\"2023-12-26 14:56:30 +0000 UTC\",\"difficulty_rating\":4,\"id\":\"6da86aff22c530acdf8fd7e5\",\"instructor_id\":\"rmp:1488414\",\"instructor_name\":\"John Gubner\",\"quality_rating\":2,\"source_review_id\":\"UmF0aW5nLTM4Nzk0NzUx\",\"source_url\":\"https://www.ratemyprofessors.com/professor/1488414\"}],\"evidence_count\":1,\"review_ids\":[\"6da86aff22c530acdf8fd7e5\"],\"scope\":{\"historical\":true,\"instructors\":[{\"id\":\"rmp:1488414\",\"name\":\"John Gubner\"}],\"review_year_end\":\"2023\",\"review_year_start\":\"2023\"},\"sentiment\":\"mixed\",\"summary\":\"Instructor is knowledgeable and curves well, but the course structure is stressful.\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_6c482ec020432fe1bd6dc1fc","course_id":"COMPSCI/ECE 561","catalog_version_id":"8077732fbc1e1adc39422c816f3f5db79716ada785c7d05fcc63c61f60de4190","record_version_id":"58e5d5e6617968cbd60189cae88b1058b2f11bf878a09aa15bd6dee1df8a014f","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"3186e8d36e245f6bf9e0a90f28e99c26166225d800121d2fed329b351f84e1df","section":"requirements","status":"needs_review","value_json":"{\"nodes\":[{\"children\":[\"req_math_or_532\",\"req_ece_stat_math_or_me\"],\"condition\":null,\"course\":null,\"evidence\":\"(MATH 320,340,341,375, orM E/COMP SCI/E C E 532or concur enroll) and (E C E 331,STAT/MATH 309,431,STAT 311,324,424,MATH 531, or M E 424 prior to Fall 2026)\",\"id\":\"req_root\",\"kind\":\"all\"},{\"children\":[\"req_math_320\",\"req_math_340\",\"req_math_341\",\"req_math_375\",\"req_math_532\"],\"condition\":null,\"course\":null,\"evidence\":\"(MATH 320,340,341,375, orM E/COMP SCI/E C E 532or concur enroll)\",\"id\":\"req_math_or_532\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":320,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"MATH 320\",\"id\":\"req_math_320\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":340,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"340\",\"id\":\"req_math_340\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":341,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"341\",\"id\":\"req_math_341\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":375,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"375\",\"id\":\"req_math_375\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":532,\"minimum_grade\":null,\"subjects\":[\"COMPSCI\",\"ECE\",\"ME\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"M E/COMP SCI/E C E 532\",\"id\":\"req_math_532\",\"kind\":\"course\"},{\"children\":[\"req_ece_331\",\"req_stat_math_309\",\"req_stat_math_431\",\"req_stat_311\",\"req_stat_324\",\"req_stat_424\",\"req_math_531\",\"req_me_424\"],\"condition\":null,\"course\":null,\"evidence\":\"(E C E 331,STAT/MATH 309,431,STAT 311,324,424,MATH 531, or M E 424 prior to Fall 2026)\",\"id\":\"req_ece_stat_math_or_me\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":331,\"minimum_grade\":null,\"subjects\":[\"ECE\"],\"timing\":\"prior\"},\"evidence\":\"E C E 331\",\"id\":\"req_ece_331\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":309,\"minimum_grade\":null,\"subjects\":[\"MATH\",\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"STAT/MATH 309\",\"id\":\"req_stat_math_309\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":431,\"minimum_grade\":null,\"subjects\":[\"MATH\",\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"431\",\"id\":\"req_stat_math_431\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":311,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"STAT 311\",\"id\":\"req_stat_311\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":324,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"324\",\"id\":\"req_stat_324\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":424,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"424\",\"id\":\"req_stat_424\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":531,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"MATH 531\",\"id\":\"req_math_531\",\"kind\":\"course\"},{\"children\":[],\"condition\":\"M E 424 prior to Fall 2026\",\"course\":null,\"evidence\":\"M E 424 prior to Fall 2026\",\"id\":\"req_me_424\",\"kind\":\"condition\"}],\"notes\":[\"ME 424 is treated as a condition because it is not in the linked courses list and has a specific time constraint.\"],\"root\":\"req_root\",\"status\":\"parsed\"}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_6c482ec020432fe1bd6dc1fc","course_id":"COMPSCI/ECE 561","catalog_version_id":"8077732fbc1e1adc39422c816f3f5db79716ada785c7d05fcc63c61f60de4190","record_version_id":"58e5d5e6617968cbd60189cae88b1058b2f11bf878a09aa15bd6dee1df8a014f","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"3186e8d36e245f6bf9e0a90f28e99c26166225d800121d2fed329b351f84e1df","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Probabilistic tools for machine learning and analysis of real-world datasets.\"},{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"requirements_text\",\"quote\":\"(MATH 320,340,341,375, orM E/COMP SCI/E C E 532or concur enroll) and (E C E 331,STAT/MATH 309,431,STAT 311,324,424,MATH 531, or M E 424 prior to Fall 2026)\"}],\"text\":\"Linear algebra and differential equations, matrix methods, and probability/statistics fundamentals.\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/ME 532\",\"field\":\"description\",\"quote\":\"Linear algebraic foundations of machine learning featuring real-world applications of matrix methods from classification and clustering to denoising and data analysis.\"},{\"course_id\":\"MATH 320\",\"field\":\"description\",\"quote\":\"An introduction to linear algebra and differential equations with emphasis on the relationship between the theory of linear algebra and analytical and numerical techniques for solving differential equations.\"}],\"text\":\"Matrix algebra, linear systems, and numerical methods for differential equations.\"},{\"evidence\":[{\"course_id\":\"ECE 331\",\"field\":\"description\",\"quote\":\"Introduction to probability, random variables, and random processes. Confidence intervals, introduction to experimental design and hypothesis testing.\"}],\"text\":\"Probability theory, random variables, and statistical analysis.\"}],\"search_phrases\":[\"probabilistic machine learning\",\"information theory entropy\",\"naive Bayes classification\",\"probabilistic graphical models\",\"variational inference\",\"expectation maximization\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Introductory topics include classification, regression, probability theory, decision theory and quantifying information with entropy, relative entropy and mutual information.\"}],\"text\":\"Classification, regression, and decision theory.\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Additional topics include naive Bayes, probabilistic graphical models, discriminant analysis, logistic regression, expectation maximization, source coding and variational inference.\"}],\"text\":\"Naive Bayes, probabilistic graphical models, and variational inference.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"title\",\"quote\":\"PROBABILITY AND INFORMATION THEORY IN MACHINE LEARNING\"},{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Probabilistic tools for machine learning and analysis of real-world datasets.\"}],\"text\":\"Covers probabilistic tools and information theory for machine learning, including classification, regression, and graphical models.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"probability theory, decision theory and quantifying information with entropy, relative entropy and mutual information.\"}],\"text\":\"Probability theory, decision theory, and information measures.\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"naive Bayes, probabilistic graphical models, discriminant analysis, logistic regression, expectation maximization, source coding and variational inference.\"}],\"text\":\"Naive Bayes, graphical models, and variational inference.\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_6c482ec020432fe1bd6dc1fc","course_id":"COMPSCI/ECE 561","catalog_version_id":"8077732fbc1e1adc39422c816f3f5db79716ada785c7d05fcc63c61f60de4190","record_version_id":"58e5d5e6617968cbd60189cae88b1058b2f11bf878a09aa15bd6dee1df8a014f","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"3186e8d36e245f6bf9e0a90f28e99c26166225d800121d2fed329b351f84e1df","section":"student_experience","status":"valid","value_json":"{\"status\":\"supported\",\"themes\":[{\"aspect\":\"teaching_clarity\",\"evidence\":[{\"comment\":\"His lectures are really difficult to follow and he seems to lecture as if you already know the material and he is just reviewing it. 3 tricky exams of 4-5 questions determine 60% of your grade. That being said, he is highly knowledgeable, and curves well. I think most students got A or AB. The course is just needlessly stressful due to logistics.\",\"course_id\":\"COMPSCI/ECE 561\",\"date\":\"2023-12-26 14:56:30 +0000 UTC\",\"difficulty_rating\":4,\"id\":\"6da86aff22c530acdf8fd7e5\",\"instructor_id\":\"rmp:1488414\",\"instructor_name\":\"John Gubner\",\"quality_rating\":2,\"source_review_id\":\"UmF0aW5nLTM4Nzk0NzUx\",\"source_url\":\"https://www.ratemyprofessors.com/professor/1488414\"}],\"evidence_count\":1,\"review_ids\":[\"6da86aff22c530acdf8fd7e5\"],\"scope\":{\"historical\":true,\"instructors\":[{\"id\":\"rmp:1488414\",\"name\":\"John Gubner\"}],\"review_year_end\":\"2023\",\"review_year_start\":\"2023\"},\"sentiment\":\"negative\",\"summary\":\"Lectures are difficult to follow, assuming prior knowledge.\"},{\"aspect\":\"workload\",\"evidence\":[{\"comment\":\"His lectures are really difficult to follow and he seems to lecture as if you already know the material and he is just reviewing it. 3 tricky exams of 4-5 questions determine 60% of your grade. That being said, he is highly knowledgeable, and curves well. I think most students got A or AB. The course is just needlessly stressful due to logistics.\",\"course_id\":\"COMPSCI/ECE 561\",\"date\":\"2023-12-26 14:56:30 +0000 UTC\",\"difficulty_rating\":4,\"id\":\"6da86aff22c530acdf8fd7e5\",\"instructor_id\":\"rmp:1488414\",\"instructor_name\":\"John Gubner\",\"quality_rating\":2,\"source_review_id\":\"UmF0aW5nLTM4Nzk0NzUx\",\"source_url\":\"https://www.ratemyprofessors.com/professor/1488414\"}],\"evidence_count\":1,\"review_ids\":[\"6da86aff22c530acdf8fd7e5\"],\"scope\":{\"historical\":true,\"instructors\":[{\"id\":\"rmp:1488414\",\"name\":\"John Gubner\"}],\"review_year_end\":\"2023\",\"review_year_start\":\"2023\"},\"sentiment\":\"negative\",\"summary\":\"Course is needlessly stressful due to logistics and tricky exams.\"},{\"aspect\":\"overall\",\"evidence\":[{\"comment\":\"His lectures are really difficult to follow and he seems to lecture as if you already know the material and he is just reviewing it. 3 tricky exams of 4-5 questions determine 60% of your grade. That being said, he is highly knowledgeable, and curves well. I think most students got A or AB. The course is just needlessly stressful due to logistics.\",\"course_id\":\"COMPSCI/ECE 561\",\"date\":\"2023-12-26 14:56:30 +0000 UTC\",\"difficulty_rating\":4,\"id\":\"6da86aff22c530acdf8fd7e5\",\"instructor_id\":\"rmp:1488414\",\"instructor_name\":\"John Gubner\",\"quality_rating\":2,\"source_review_id\":\"UmF0aW5nLTM4Nzk0NzUx\",\"source_url\":\"https://www.ratemyprofessors.com/professor/1488414\"}],\"evidence_count\":1,\"review_ids\":[\"6da86aff22c530acdf8fd7e5\"],\"scope\":{\"historical\":true,\"instructors\":[{\"id\":\"rmp:1488414\",\"name\":\"John Gubner\"}],\"review_year_end\":\"2023\",\"review_year_start\":\"2023\"},\"sentiment\":\"mixed\",\"summary\":\"Instructor is knowledgeable and curves well, but the course structure is stressful.\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_6c482ec020432fe1bd6dc1fc","course_id":"COMPSCI/ECE 561","catalog_version_id":"8077732fbc1e1adc39422c816f3f5db79716ada785c7d05fcc63c61f60de4190","record_version_id":"58e5d5e6617968cbd60189cae88b1058b2f11bf878a09aa15bd6dee1df8a014f","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"3186e8d36e245f6bf9e0a90f28e99c26166225d800121d2fed329b351f84e1df","section":"student_summary","status":"invalid","value_json":"{\"context_hash\":\"2f4e7e300a22361d96378bafa054d9677f097b28f3d47f2968bc011973c9a554\",\"course_id\":\"COMPSCI/ECE 561\",\"current_instructors\":[],\"difficulty_workload\":[],\"errors\":[{\"error\":\"ModelAPIError: Connection error.\",\"instructor_uid\":null,\"mode\":\"history\"},{\"error\":\"ModelAPIError: Connection error.\",\"instructor_uid\":null,\"mode\":\"overview\"}],\"historical_context\":[],\"message\":null,\"offered\":false,\"profile_hash\":\"5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02\",\"quick_take\":[{\"citations\":[{\"course_id\":\"COMPSCI/ECE 561\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"41017cd0-0e3a-3ea7-85e3-8581a8c5e68b\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1232\",\"type\":\"grade\"},{\"course_id\":\"COMPSCI/ECE 561\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"41017cd0-0e3a-3ea7-85e3-8581a8c5e68b\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1242\",\"type\":\"grade\"},{\"course_id\":\"COMPSCI/ECE 561\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"41017cd0-0e3a-3ea7-85e3-8581a8c5e68b\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1252\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Fall 2022: 3.62 GPA, 76.6% A/AB (n=47 letter grades); Fall 2023: 3.40 GPA, 61.7% A/AB (n=47 letter grades); Fall 2024: 3.96 GPA, 97.5% A/AB (n=40 letter grades).\"}],\"student_experience\":[],\"task_hash\":\"74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68\",\"teaching_history\":[{\"citations\":[{\"course_id\":\"COMPSCI/ECE 561\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":1,\"source_course_id\":\"41017cd0-0e3a-3ea7-85e3-8581a8c5e68b\",\"source_record\":{\"entity_id\":\"41017cd0-0e3a-3ea7-85e3-8581a8c5e68b\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1242\",\"type\":\"grade\"}],\"text\":\"JOHN GUBNER is recorded teaching in Fall 2023. Recorded history may be incomplete and does not establish a future schedule.\"}],\"term_id\":\"1272\",\"term_name\":\"2026 Fall\",\"version\":2}","candidate_json":null,"error":"[{\"mode\": \"history\", \"instructor_uid\": null, \"error\": \"ModelAPIError: Connection error.\"}, {\"mode\": \"overview\", \"instructor_uid\": null, \"error\": \"ModelAPIError: Connection error.\"}]","model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_6c482ec020432fe1bd6dc1fc","course_id":"COMPSCI/ECE 561","catalog_version_id":"8077732fbc1e1adc39422c816f3f5db79716ada785c7d05fcc63c61f60de4190","record_version_id":"58e5d5e6617968cbd60189cae88b1058b2f11bf878a09aa15bd6dee1df8a014f","job_id":"enrich-e7041a2e7f0e20d6266712e0","output_id":"a37be22dba32bc1b43a3b41331839d4db332617d44961ac9716263f8652ef997","section":"requirements","status":"needs_review","value_json":"{\"nodes\":[{\"children\":[\"req_math_or_532\",\"req_ece_stat_math_or_me\"],\"condition\":null,\"course\":null,\"evidence\":\"(MATH 320,340,341,375, orM E/COMP SCI/E C E 532or concur enroll) and (E C E 331,STAT/MATH 309,431,STAT 311,324,424,MATH 531, or M E 424 prior to Fall 2026)\",\"id\":\"req_root\",\"kind\":\"all\"},{\"children\":[\"req_math_320\",\"req_math_340\",\"req_math_341\",\"req_math_375\",\"req_math_532\"],\"condition\":null,\"course\":null,\"evidence\":\"(MATH 320,340,341,375, orM E/COMP SCI/E C E 532or concur enroll)\",\"id\":\"req_math_or_532\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":320,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"MATH 320\",\"id\":\"req_math_320\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":340,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"340\",\"id\":\"req_math_340\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":341,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"341\",\"id\":\"req_math_341\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":375,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"375\",\"id\":\"req_math_375\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":532,\"minimum_grade\":null,\"subjects\":[\"COMPSCI\",\"ECE\",\"ME\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"M E/COMP SCI/E C E 532\",\"id\":\"req_math_532\",\"kind\":\"course\"},{\"children\":[\"req_ece_331\",\"req_stat_math_309\",\"req_stat_math_431\",\"req_stat_311\",\"req_stat_324\",\"req_stat_424\",\"req_math_531\",\"req_me_424\"],\"condition\":null,\"course\":null,\"evidence\":\"(E C E 331,STAT/MATH 309,431,STAT 311,324,424,MATH 531, or M E 424 prior to Fall 2026)\",\"id\":\"req_ece_stat_math_or_me\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":331,\"minimum_grade\":null,\"subjects\":[\"ECE\"],\"timing\":\"prior\"},\"evidence\":\"E C E 331\",\"id\":\"req_ece_331\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":309,\"minimum_grade\":null,\"subjects\":[\"MATH\",\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"STAT/MATH 309\",\"id\":\"req_stat_math_309\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":431,\"minimum_grade\":null,\"subjects\":[\"MATH\",\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"431\",\"id\":\"req_stat_math_431\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":311,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"STAT 311\",\"id\":\"req_stat_311\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":324,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"324\",\"id\":\"req_stat_324\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":424,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"424\",\"id\":\"req_stat_424\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":531,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"MATH 531\",\"id\":\"req_math_531\",\"kind\":\"course\"},{\"children\":[],\"condition\":\"M E 424 prior to Fall 2026\",\"course\":null,\"evidence\":\"M E 424 prior to Fall 2026\",\"id\":\"req_me_424\",\"kind\":\"condition\"}],\"notes\":[\"ME 424 is treated as a condition because it is not in the linked courses list and has a specific time constraint.\"],\"root\":\"req_root\",\"status\":\"parsed\"}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_6c482ec020432fe1bd6dc1fc","course_id":"COMPSCI/ECE 561","catalog_version_id":"8077732fbc1e1adc39422c816f3f5db79716ada785c7d05fcc63c61f60de4190","record_version_id":"58e5d5e6617968cbd60189cae88b1058b2f11bf878a09aa15bd6dee1df8a014f","job_id":"enrich-e7041a2e7f0e20d6266712e0","output_id":"a37be22dba32bc1b43a3b41331839d4db332617d44961ac9716263f8652ef997","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Probabilistic tools for machine learning and analysis of real-world datasets.\"},{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"requirements_text\",\"quote\":\"(MATH 320,340,341,375, orM E/COMP SCI/E C E 532or concur enroll) and (E C E 331,STAT/MATH 309,431,STAT 311,324,424,MATH 531, or M E 424 prior to Fall 2026)\"}],\"text\":\"Linear algebra and differential equations, matrix methods, and probability/statistics fundamentals.\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/ME 532\",\"field\":\"description\",\"quote\":\"Linear algebraic foundations of machine learning featuring real-world applications of matrix methods from classification and clustering to denoising and data analysis.\"},{\"course_id\":\"MATH 320\",\"field\":\"description\",\"quote\":\"An introduction to linear algebra and differential equations with emphasis on the relationship between the theory of linear algebra and analytical and numerical techniques for solving differential equations.\"}],\"text\":\"Matrix algebra, linear systems, and numerical methods for differential equations.\"},{\"evidence\":[{\"course_id\":\"ECE 331\",\"field\":\"description\",\"quote\":\"Introduction to probability, random variables, and random processes. Confidence intervals, introduction to experimental design and hypothesis testing.\"}],\"text\":\"Probability theory, random variables, and statistical analysis.\"}],\"search_phrases\":[\"probabilistic machine learning\",\"information theory entropy\",\"naive Bayes classification\",\"probabilistic graphical models\",\"variational inference\",\"expectation maximization\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Introductory topics include classification, regression, probability theory, decision theory and quantifying information with entropy, relative entropy and mutual information.\"}],\"text\":\"Classification, regression, and decision theory.\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Additional topics include naive Bayes, probabilistic graphical models, discriminant analysis, logistic regression, expectation maximization, source coding and variational inference.\"}],\"text\":\"Naive Bayes, probabilistic graphical models, and variational inference.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"title\",\"quote\":\"PROBABILITY AND INFORMATION THEORY IN MACHINE LEARNING\"},{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Probabilistic tools for machine learning and analysis of real-world datasets.\"}],\"text\":\"Covers probabilistic tools and information theory for machine learning, including classification, regression, and graphical models.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"probability theory, decision theory and quantifying information with entropy, relative entropy and mutual information.\"}],\"text\":\"Probability theory, decision theory, and information measures.\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"naive Bayes, probabilistic graphical models, discriminant analysis, logistic regression, expectation maximization, source coding and variational inference.\"}],\"text\":\"Naive Bayes, graphical models, and variational inference.\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_6c482ec020432fe1bd6dc1fc","course_id":"COMPSCI/ECE 561","catalog_version_id":"8077732fbc1e1adc39422c816f3f5db79716ada785c7d05fcc63c61f60de4190","record_version_id":"58e5d5e6617968cbd60189cae88b1058b2f11bf878a09aa15bd6dee1df8a014f","job_id":"enrich-e7041a2e7f0e20d6266712e0","output_id":"a37be22dba32bc1b43a3b41331839d4db332617d44961ac9716263f8652ef997","section":"student_experience","status":"valid","value_json":"{\"status\":\"supported\",\"themes\":[{\"aspect\":\"teaching_clarity\",\"evidence\":[{\"comment\":\"His lectures are really difficult to follow and he seems to lecture as if you already know the material and he is just reviewing it. 3 tricky exams of 4-5 questions determine 60% of your grade. That being said, he is highly knowledgeable, and curves well. I think most students got A or AB. The course is just needlessly stressful due to logistics.\",\"course_id\":\"COMPSCI/ECE 561\",\"date\":\"2023-12-26 14:56:30 +0000 UTC\",\"difficulty_rating\":4,\"id\":\"6da86aff22c530acdf8fd7e5\",\"instructor_id\":\"rmp:1488414\",\"instructor_name\":\"John Gubner\",\"quality_rating\":2,\"source_review_id\":\"UmF0aW5nLTM4Nzk0NzUx\",\"source_url\":\"https://www.ratemyprofessors.com/professor/1488414\"}],\"evidence_count\":1,\"review_ids\":[\"6da86aff22c530acdf8fd7e5\"],\"scope\":{\"historical\":true,\"instructors\":[{\"id\":\"rmp:1488414\",\"name\":\"John Gubner\"}],\"review_year_end\":\"2023\",\"review_year_start\":\"2023\"},\"sentiment\":\"negative\",\"summary\":\"Lectures are difficult to follow, assuming prior knowledge.\"},{\"aspect\":\"workload\",\"evidence\":[{\"comment\":\"His lectures are really difficult to follow and he seems to lecture as if you already know the material and he is just reviewing it. 3 tricky exams of 4-5 questions determine 60% of your grade. That being said, he is highly knowledgeable, and curves well. I think most students got A or AB. The course is just needlessly stressful due to logistics.\",\"course_id\":\"COMPSCI/ECE 561\",\"date\":\"2023-12-26 14:56:30 +0000 UTC\",\"difficulty_rating\":4,\"id\":\"6da86aff22c530acdf8fd7e5\",\"instructor_id\":\"rmp:1488414\",\"instructor_name\":\"John Gubner\",\"quality_rating\":2,\"source_review_id\":\"UmF0aW5nLTM4Nzk0NzUx\",\"source_url\":\"https://www.ratemyprofessors.com/professor/1488414\"}],\"evidence_count\":1,\"review_ids\":[\"6da86aff22c530acdf8fd7e5\"],\"scope\":{\"historical\":true,\"instructors\":[{\"id\":\"rmp:1488414\",\"name\":\"John Gubner\"}],\"review_year_end\":\"2023\",\"review_year_start\":\"2023\"},\"sentiment\":\"negative\",\"summary\":\"Course is needlessly stressful due to logistics and tricky exams.\"},{\"aspect\":\"overall\",\"evidence\":[{\"comment\":\"His lectures are really difficult to follow and he seems to lecture as if you already know the material and he is just reviewing it. 3 tricky exams of 4-5 questions determine 60% of your grade. That being said, he is highly knowledgeable, and curves well. I think most students got A or AB. The course is just needlessly stressful due to logistics.\",\"course_id\":\"COMPSCI/ECE 561\",\"date\":\"2023-12-26 14:56:30 +0000 UTC\",\"difficulty_rating\":4,\"id\":\"6da86aff22c530acdf8fd7e5\",\"instructor_id\":\"rmp:1488414\",\"instructor_name\":\"John Gubner\",\"quality_rating\":2,\"source_review_id\":\"UmF0aW5nLTM4Nzk0NzUx\",\"source_url\":\"https://www.ratemyprofessors.com/professor/1488414\"}],\"evidence_count\":1,\"review_ids\":[\"6da86aff22c530acdf8fd7e5\"],\"scope\":{\"historical\":true,\"instructors\":[{\"id\":\"rmp:1488414\",\"name\":\"John Gubner\"}],\"review_year_end\":\"2023\",\"review_year_start\":\"2023\"},\"sentiment\":\"mixed\",\"summary\":\"Instructor is knowledgeable and curves well, but the course structure is stressful.\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_6c482ec020432fe1bd6dc1fc","course_id":"COMPSCI/ECE 561","catalog_version_id":"8077732fbc1e1adc39422c816f3f5db79716ada785c7d05fcc63c61f60de4190","record_version_id":"58e5d5e6617968cbd60189cae88b1058b2f11bf878a09aa15bd6dee1df8a014f","job_id":"enrich-f516c4d3e82cfe326b4f5f54","output_id":"050fc7ba8de8e4716f07d21683f659a360eb2fb31e766ed1a2b36adb09640f08","section":"requirements","status":"needs_review","value_json":"{\"nodes\":[{\"children\":[\"req_math_or_532\",\"req_ece_stat_math_or_me\"],\"condition\":null,\"course\":null,\"evidence\":\"(MATH 320,340,341,375, orM E/COMP SCI/E C E 532or concur enroll) and (E C E 331,STAT/MATH 309,431,STAT 311,324,424,MATH 531, or M E 424 prior to Fall 2026)\",\"id\":\"req_root\",\"kind\":\"all\"},{\"children\":[\"req_math_320\",\"req_math_340\",\"req_math_341\",\"req_math_375\",\"req_math_532\"],\"condition\":null,\"course\":null,\"evidence\":\"(MATH 320,340,341,375, orM E/COMP SCI/E C E 532or concur enroll)\",\"id\":\"req_math_or_532\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":320,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"MATH 320\",\"id\":\"req_math_320\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":340,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"340\",\"id\":\"req_math_340\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":341,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"341\",\"id\":\"req_math_341\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":375,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"375\",\"id\":\"req_math_375\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":532,\"minimum_grade\":null,\"subjects\":[\"COMPSCI\",\"ECE\",\"ME\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"M E/COMP SCI/E C E 532\",\"id\":\"req_math_532\",\"kind\":\"course\"},{\"children\":[\"req_ece_331\",\"req_stat_math_309\",\"req_stat_math_431\",\"req_stat_311\",\"req_stat_324\",\"req_stat_424\",\"req_math_531\",\"req_me_424\"],\"condition\":null,\"course\":null,\"evidence\":\"(E C E 331,STAT/MATH 309,431,STAT 311,324,424,MATH 531, or M E 424 prior to Fall 2026)\",\"id\":\"req_ece_stat_math_or_me\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":331,\"minimum_grade\":null,\"subjects\":[\"ECE\"],\"timing\":\"prior\"},\"evidence\":\"E C E 331\",\"id\":\"req_ece_331\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":309,\"minimum_grade\":null,\"subjects\":[\"MATH\",\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"STAT/MATH 309\",\"id\":\"req_stat_math_309\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":431,\"minimum_grade\":null,\"subjects\":[\"MATH\",\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"431\",\"id\":\"req_stat_math_431\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":311,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"STAT 311\",\"id\":\"req_stat_311\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":324,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"324\",\"id\":\"req_stat_324\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":424,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"424\",\"id\":\"req_stat_424\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":531,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"MATH 531\",\"id\":\"req_math_531\",\"kind\":\"course\"},{\"children\":[],\"condition\":\"M E 424 prior to Fall 2026\",\"course\":null,\"evidence\":\"M E 424 prior to Fall 2026\",\"id\":\"req_me_424\",\"kind\":\"condition\"}],\"notes\":[\"ME 424 is treated as a condition because it is not in the linked courses list and has a specific time constraint.\"],\"root\":\"req_root\",\"status\":\"parsed\"}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_6c482ec020432fe1bd6dc1fc","course_id":"COMPSCI/ECE 561","catalog_version_id":"8077732fbc1e1adc39422c816f3f5db79716ada785c7d05fcc63c61f60de4190","record_version_id":"58e5d5e6617968cbd60189cae88b1058b2f11bf878a09aa15bd6dee1df8a014f","job_id":"enrich-f516c4d3e82cfe326b4f5f54","output_id":"050fc7ba8de8e4716f07d21683f659a360eb2fb31e766ed1a2b36adb09640f08","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Probabilistic tools for machine learning and analysis of real-world datasets.\"},{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"requirements_text\",\"quote\":\"(MATH 320,340,341,375, orM E/COMP SCI/E C E 532or concur enroll) and (E C E 331,STAT/MATH 309,431,STAT 311,324,424,MATH 531, or M E 424 prior to Fall 2026)\"}],\"text\":\"Linear algebra and differential equations, matrix methods, and probability/statistics fundamentals.\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/ME 532\",\"field\":\"description\",\"quote\":\"Linear algebraic foundations of machine learning featuring real-world applications of matrix methods from classification and clustering to denoising and data analysis.\"},{\"course_id\":\"MATH 320\",\"field\":\"description\",\"quote\":\"An introduction to linear algebra and differential equations with emphasis on the relationship between the theory of linear algebra and analytical and numerical techniques for solving differential equations.\"}],\"text\":\"Matrix algebra, linear systems, and numerical methods for differential equations.\"},{\"evidence\":[{\"course_id\":\"ECE 331\",\"field\":\"description\",\"quote\":\"Introduction to probability, random variables, and random processes. Confidence intervals, introduction to experimental design and hypothesis testing.\"}],\"text\":\"Probability theory, random variables, and statistical analysis.\"}],\"search_phrases\":[\"probabilistic machine learning\",\"information theory entropy\",\"naive Bayes classification\",\"probabilistic graphical models\",\"variational inference\",\"expectation maximization\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Introductory topics include classification, regression, probability theory, decision theory and quantifying information with entropy, relative entropy and mutual information.\"}],\"text\":\"Classification, regression, and decision theory.\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Additional topics include naive Bayes, probabilistic graphical models, discriminant analysis, logistic regression, expectation maximization, source coding and variational inference.\"}],\"text\":\"Naive Bayes, probabilistic graphical models, and variational inference.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"title\",\"quote\":\"PROBABILITY AND INFORMATION THEORY IN MACHINE LEARNING\"},{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"Probabilistic tools for machine learning and analysis of real-world datasets.\"}],\"text\":\"Covers probabilistic tools and information theory for machine learning, including classification, regression, and graphical models.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"probability theory, decision theory and quantifying information with entropy, relative entropy and mutual information.\"}],\"text\":\"Probability theory, decision theory, and information measures.\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 561\",\"field\":\"description\",\"quote\":\"naive Bayes, probabilistic graphical models, discriminant analysis, logistic regression, expectation maximization, source coding and variational inference.\"}],\"text\":\"Naive Bayes, graphical models, and variational inference.\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_6c482ec020432fe1bd6dc1fc","course_id":"COMPSCI/ECE 561","catalog_version_id":"8077732fbc1e1adc39422c816f3f5db79716ada785c7d05fcc63c61f60de4190","record_version_id":"58e5d5e6617968cbd60189cae88b1058b2f11bf878a09aa15bd6dee1df8a014f","job_id":"enrich-f516c4d3e82cfe326b4f5f54","output_id":"050fc7ba8de8e4716f07d21683f659a360eb2fb31e766ed1a2b36adb09640f08","section":"student_experience","status":"valid","value_json":"{\"status\":\"supported\",\"themes\":[{\"aspect\":\"teaching_clarity\",\"evidence\":[{\"comment\":\"His lectures are really difficult to follow and he seems to lecture as if you already know the material and he is just reviewing it. 3 tricky exams of 4-5 questions determine 60% of your grade. That being said, he is highly knowledgeable, and curves well. I think most students got A or AB. The course is just needlessly stressful due to logistics.\",\"course_id\":\"COMPSCI/ECE 561\",\"date\":\"2023-12-26 14:56:30 +0000 UTC\",\"difficulty_rating\":4,\"id\":\"6da86aff22c530acdf8fd7e5\",\"instructor_id\":\"rmp:1488414\",\"instructor_name\":\"John Gubner\",\"quality_rating\":2,\"source_review_id\":\"UmF0aW5nLTM4Nzk0NzUx\",\"source_url\":\"https://www.ratemyprofessors.com/professor/1488414\"}],\"evidence_count\":1,\"review_ids\":[\"6da86aff22c530acdf8fd7e5\"],\"scope\":{\"historical\":true,\"instructors\":[{\"id\":\"rmp:1488414\",\"name\":\"John Gubner\"}],\"review_year_end\":\"2023\",\"review_year_start\":\"2023\"},\"sentiment\":\"negative\",\"summary\":\"Lectures are difficult to follow, assuming prior knowledge.\"},{\"aspect\":\"workload\",\"evidence\":[{\"comment\":\"His lectures are really difficult to follow and he seems to lecture as if you already know the material and he is just reviewing it. 3 tricky exams of 4-5 questions determine 60% of your grade. That being said, he is highly knowledgeable, and curves well. I think most students got A or AB. The course is just needlessly stressful due to logistics.\",\"course_id\":\"COMPSCI/ECE 561\",\"date\":\"2023-12-26 14:56:30 +0000 UTC\",\"difficulty_rating\":4,\"id\":\"6da86aff22c530acdf8fd7e5\",\"instructor_id\":\"rmp:1488414\",\"instructor_name\":\"John Gubner\",\"quality_rating\":2,\"source_review_id\":\"UmF0aW5nLTM4Nzk0NzUx\",\"source_url\":\"https://www.ratemyprofessors.com/professor/1488414\"}],\"evidence_count\":1,\"review_ids\":[\"6da86aff22c530acdf8fd7e5\"],\"scope\":{\"historical\":true,\"instructors\":[{\"id\":\"rmp:1488414\",\"name\":\"John Gubner\"}],\"review_year_end\":\"2023\",\"review_year_start\":\"2023\"},\"sentiment\":\"negative\",\"summary\":\"Course is needlessly stressful due to logistics and tricky exams.\"},{\"aspect\":\"overall\",\"evidence\":[{\"comment\":\"His lectures are really difficult to follow and he seems to lecture as if you already know the material and he is just reviewing it. 3 tricky exams of 4-5 questions determine 60% of your grade. That being said, he is highly knowledgeable, and curves well. I think most students got A or AB. The course is just needlessly stressful due to logistics.\",\"course_id\":\"COMPSCI/ECE 561\",\"date\":\"2023-12-26 14:56:30 +0000 UTC\",\"difficulty_rating\":4,\"id\":\"6da86aff22c530acdf8fd7e5\",\"instructor_id\":\"rmp:1488414\",\"instructor_name\":\"John Gubner\",\"quality_rating\":2,\"source_review_id\":\"UmF0aW5nLTM4Nzk0NzUx\",\"source_url\":\"https://www.ratemyprofessors.com/professor/1488414\"}],\"evidence_count\":1,\"review_ids\":[\"6da86aff22c530acdf8fd7e5\"],\"scope\":{\"historical\":true,\"instructors\":[{\"id\":\"rmp:1488414\",\"name\":\"John Gubner\"}],\"review_year_end\":\"2023\",\"review_year_start\":\"2023\"},\"sentiment\":\"mixed\",\"summary\":\"Instructor is knowledgeable and curves well, but the course structure is stressful.\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_6c482ec020432fe1bd6dc1fc","course_id":"COMPSCI/ECE 561","catalog_version_id":"8077732fbc1e1adc39422c816f3f5db79716ada785c7d05fcc63c61f60de4190","record_version_id":"58e5d5e6617968cbd60189cae88b1058b2f11bf878a09aa15bd6dee1df8a014f","job_id":"enrich-f516c4d3e82cfe326b4f5f54","output_id":"050fc7ba8de8e4716f07d21683f659a360eb2fb31e766ed1a2b36adb09640f08","section":"student_summary","status":"valid","value_json":"{\"context_hash\":\"2f4e7e300a22361d96378bafa054d9677f097b28f3d47f2968bc011973c9a554\",\"course_id\":\"COMPSCI/ECE 561\",\"current_instructors\":[],\"difficulty_workload\":[{\"citations\":[{\"instructor_name\":\"John Gubner\",\"review_date\":\"2023-12-26 14:56:30 +0000 UTC\",\"review_id\":\"6da86aff22c530acdf8fd7e5\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_instructor_id\":\"rmp:1488414\",\"source_review_id\":\"UmF0aW5nLTM4Nzk0NzUx\",\"source_url\":\"https://www.ratemyprofessors.com/professor/1488414\",\"type\":\"review\"}],\"text\":\"Historical reviews of John Gubner: Three tricky exams determine 60% of the grade, creating a needlessly stressful environment.\"}],\"errors\":[],\"historical_context\":[{\"citations\":[{\"instructor_name\":\"John Gubner\",\"review_date\":\"2023-12-26 14:56:30 +0000 UTC\",\"review_id\":\"6da86aff22c530acdf8fd7e5\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_instructor_id\":\"rmp:1488414\",\"source_review_id\":\"UmF0aW5nLTM4Nzk0NzUx\",\"source_url\":\"https://www.ratemyprofessors.com/professor/1488414\",\"type\":\"review\"}],\"text\":\"Historical reviews of John Gubner: John Gubner is highly knowledgeable and curves well, often resulting in high grades. However, his lectures are difficult to follow, assuming prior knowledge, and the course is stressful due to logistics and tricky exams.\"}],\"message\":null,\"offered\":false,\"profile_hash\":\"e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1\",\"quick_take\":[{\"citations\":[{\"instructor_name\":\"John Gubner\",\"review_date\":\"2023-12-26 14:56:30 +0000 UTC\",\"review_id\":\"6da86aff22c530acdf8fd7e5\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_instructor_id\":\"rmp:1488414\",\"source_review_id\":\"UmF0aW5nLTM4Nzk0NzUx\",\"source_url\":\"https://www.ratemyprofessors.com/professor/1488414\",\"type\":\"review\"}],\"text\":\"Historical reviews of John Gubner: John Gubner's course is highly stressful due to logistics and difficult lectures, though he is knowledgeable and curves well.\"},{\"citations\":[{\"course_id\":\"COMPSCI/ECE 561\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"41017cd0-0e3a-3ea7-85e3-8581a8c5e68b\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1232\",\"type\":\"grade\"},{\"course_id\":\"COMPSCI/ECE 561\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"41017cd0-0e3a-3ea7-85e3-8581a8c5e68b\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1242\",\"type\":\"grade\"},{\"course_id\":\"COMPSCI/ECE 561\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"41017cd0-0e3a-3ea7-85e3-8581a8c5e68b\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1252\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Fall 2022: 3.62 GPA, 76.6% A/AB (n=47 letter grades); Fall 2023: 3.40 GPA, 61.7% A/AB (n=47 letter grades); Fall 2024: 3.96 GPA, 97.5% A/AB (n=40 letter grades).\"}],\"student_experience\":[{\"citations\":[{\"instructor_name\":\"John Gubner\",\"review_date\":\"2023-12-26 14:56:30 +0000 UTC\",\"review_id\":\"6da86aff22c530acdf8fd7e5\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_instructor_id\":\"rmp:1488414\",\"source_review_id\":\"UmF0aW5nLTM4Nzk0NzUx\",\"source_url\":\"https://www.ratemyprofessors.com/professor/1488414\",\"type\":\"review\"}],\"text\":\"Historical reviews of John Gubner: Lectures are hard to follow as if assuming prior knowledge, but the curve allows most students to get A or AB grades.\"}],\"task_hash\":\"74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68\",\"teaching_history\":[{\"citations\":[{\"course_id\":\"COMPSCI/ECE 561\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":1,\"source_course_id\":\"41017cd0-0e3a-3ea7-85e3-8581a8c5e68b\",\"source_record\":{\"entity_id\":\"41017cd0-0e3a-3ea7-85e3-8581a8c5e68b\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1242\",\"type\":\"grade\"}],\"text\":\"JOHN GUBNER is recorded teaching in Fall 2023. Recorded history may be incomplete and does not establish a future schedule.\"}],\"term_id\":\"1272\",\"term_name\":\"2026 Fall\",\"version\":2}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true}]