[{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_b679e3cf25eb2922e638a7d2","course_id":"COMPSCI/ECE 533","catalog_version_id":"30c0b211758ada944e012a8dc308a5193631908acf0c74b973ddb82b5d95b906","record_version_id":"73aa750d2208753410e854dc4f21438379b378ed5d8be764efd83b471662a750","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"4c3f8a57ff6d8fe5ee51ccff525243fe5e0759dc77a009efbedfe15a882842e6","section":"requirements","status":"invalid","value_json":null,"candidate_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\"],\"condition\":null,\"course\":null,\"evidence\":\"E C E 330and (MATH 320or340), graduate/professional standing, or member of Engineering Guest Students\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":330,\"minimum_grade\":null,\"subjects\":[\"ECE\"],\"timing\":\"prior\"},\"evidence\":\"E C E 330\",\"id\":\"n1\",\"kind\":\"course\"},{\"children\":[\"n4\",\"n5\"],\"condition\":null,\"course\":null,\"evidence\":\"(MATH 320or340)\",\"id\":\"n2\",\"kind\":\"any\"},{\"children\":[],\"condition\":\"graduate/professional standing\",\"course\":null,\"evidence\":\"graduate/professional standing\",\"id\":\"n3\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"member of Engineering Guest Students\",\"course\":null,\"evidence\":\"member of Engineering Guest Students\",\"id\":\"n4\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":320,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"MATH 320\",\"id\":\"n5\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":340,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"MATH 340\",\"id\":\"n6\",\"kind\":\"course\"}],\"notes\":[],\"root\":\"n0\",\"status\":\"parsed\"}","error":"Node n6: evidence 'MATH 340' must quote an exact source substring.\nUnreachable nodes: n6; connect all conditions and exclusions to the root.","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_b679e3cf25eb2922e638a7d2","course_id":"COMPSCI/ECE 533","catalog_version_id":"30c0b211758ada944e012a8dc308a5193631908acf0c74b973ddb82b5d95b906","record_version_id":"73aa750d2208753410e854dc4f21438379b378ed5d8be764efd83b471662a750","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"4c3f8a57ff6d8fe5ee51ccff525243fe5e0759dc77a009efbedfe15a882842e6","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"ECE 330\",\"field\":\"description\",\"quote\":\"Time-domain response and convolution; frequency-domain response using Fourier series, Fourier transform, Laplace transform; discrete Fourier series and transform; sampling; z-transform; relationships between time and frequency descriptions of discrete and continuous signals and systems.\"},{\"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. Linear algebra topics include linear systems, matrices and their algebra, vector spaces and linear transformations, eigenvalues and eigenvectors.\"},{\"course_id\":\"MATH 340\",\"field\":\"description\",\"quote\":\"An introduction to linear algebra. Topics include matrix algebra, linear systems of equations, vector spaces, sub-spaces, linear dependence, span, basis, rank of matrices, determinants, linear transformations, coordinate representations, kernel, range, eigenvalues and eigenvectors, diagonalization, inner products and orthogonal vectors, symmetric matrices.\"}],\"text\":\"Background in signals and systems, linear algebra, and differential equations.\"}],\"search_phrases\":[\"image processing mathematical models\",\"image enhancement restoration segmentation\",\"pattern recognition tomography\",\"linear algebra differential equations image processing\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"Mathematical representation of continuous and digital images; models of image degradation; picture enhancement, restoration, segmentation, and coding; pattern recognition, tomography.\"}],\"text\":\"Mathematical representation of images, image degradation modeling, enhancement, restoration, segmentation, coding, pattern recognition, and tomography.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"title\",\"quote\":\"IMAGE PROCESSING\"},{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"Mathematical representation of continuous and digital images; models of image degradation; picture enhancement, restoration, segmentation, and coding; pattern recognition, tomography.\"}],\"text\":\"COMPSCI/ECE 533 covers the mathematical representation of images, including degradation models, enhancement, restoration, segmentation, coding, pattern recognition, and tomography.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"Mathematical representation of continuous and digital images\"}],\"text\":\"Mathematical representation of continuous and digital images\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"models of image degradation\"}],\"text\":\"Models of image degradation\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"picture enhancement, restoration, segmentation, and coding\"}],\"text\":\"Picture enhancement, restoration, segmentation, and coding\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"pattern recognition, tomography\"}],\"text\":\"Pattern recognition and tomography\"}]}","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_b679e3cf25eb2922e638a7d2","course_id":"COMPSCI/ECE 533","catalog_version_id":"30c0b211758ada944e012a8dc308a5193631908acf0c74b973ddb82b5d95b906","record_version_id":"73aa750d2208753410e854dc4f21438379b378ed5d8be764efd83b471662a750","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"4c3f8a57ff6d8fe5ee51ccff525243fe5e0759dc77a009efbedfe15a882842e6","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_b679e3cf25eb2922e638a7d2","course_id":"COMPSCI/ECE 533","catalog_version_id":"30c0b211758ada944e012a8dc308a5193631908acf0c74b973ddb82b5d95b906","record_version_id":"73aa750d2208753410e854dc4f21438379b378ed5d8be764efd83b471662a750","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"2f4a13ff38251286506d35988911f361c91db1977a11de628b0b5ab6c26302e7","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\"],\"condition\":null,\"course\":null,\"evidence\":\"E C E 330and (MATH 320or340), graduate/professional standing, or member of Engineering Guest Students\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[\"n4\",\"n5\"],\"condition\":null,\"course\":null,\"evidence\":\"E C E 330and (MATH 320or340)\",\"id\":\"n1\",\"kind\":\"all\"},{\"children\":[],\"condition\":\"graduate/professional standing\",\"course\":null,\"evidence\":\"graduate/professional standing\",\"id\":\"n2\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"member of Engineering Guest Students\",\"course\":null,\"evidence\":\"member of Engineering Guest Students\",\"id\":\"n3\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":330,\"minimum_grade\":null,\"subjects\":[\"ECE\"],\"timing\":\"prior\"},\"evidence\":\"E C E 330\",\"id\":\"n4\",\"kind\":\"course\"},{\"children\":[\"n6\",\"n7\"],\"condition\":null,\"course\":null,\"evidence\":\"(MATH 320or340)\",\"id\":\"n5\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":320,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"MATH 320\",\"id\":\"n6\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":340,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"340\",\"id\":\"n7\",\"kind\":\"course\"}],\"notes\":[],\"root\":\"n0\",\"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_b679e3cf25eb2922e638a7d2","course_id":"COMPSCI/ECE 533","catalog_version_id":"30c0b211758ada944e012a8dc308a5193631908acf0c74b973ddb82b5d95b906","record_version_id":"73aa750d2208753410e854dc4f21438379b378ed5d8be764efd83b471662a750","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"2f4a13ff38251286506d35988911f361c91db1977a11de628b0b5ab6c26302e7","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"ECE 330\",\"field\":\"description\",\"quote\":\"Time-domain response and convolution; frequency-domain response using Fourier series, Fourier transform, Laplace transform; discrete Fourier series and transform; sampling; z-transform; relationships between time and frequency descriptions of discrete and continuous signals and systems.\"},{\"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. Linear algebra topics include linear systems, matrices and their algebra, vector spaces and linear transformations, eigenvalues and eigenvectors.\"},{\"course_id\":\"MATH 340\",\"field\":\"description\",\"quote\":\"An introduction to linear algebra. Topics include matrix algebra, linear systems of equations, vector spaces, sub-spaces, linear dependence, span, basis, rank of matrices, determinants, linear transformations, coordinate representations, kernel, range, eigenvalues and eigenvectors, diagonalization, inner products and orthogonal vectors, symmetric matrices.\"}],\"text\":\"Background in signals and systems, linear algebra, and differential equations.\"}],\"search_phrases\":[\"image processing mathematical models\",\"image enhancement restoration segmentation\",\"pattern recognition tomography\",\"linear algebra differential equations image processing\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"Mathematical representation of continuous and digital images; models of image degradation; picture enhancement, restoration, segmentation, and coding; pattern recognition, tomography.\"}],\"text\":\"Mathematical representation of images, image degradation modeling, enhancement, restoration, segmentation, coding, pattern recognition, and tomography.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"title\",\"quote\":\"IMAGE PROCESSING\"},{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"Mathematical representation of continuous and digital images; models of image degradation; picture enhancement, restoration, segmentation, and coding; pattern recognition, tomography.\"}],\"text\":\"COMPSCI/ECE 533 covers the mathematical representation of images, including degradation models, enhancement, restoration, segmentation, coding, pattern recognition, and tomography.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"Mathematical representation of continuous and digital images\"}],\"text\":\"Mathematical representation of continuous and digital images\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"models of image degradation\"}],\"text\":\"Models of image degradation\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"picture enhancement, restoration, segmentation, and coding\"}],\"text\":\"Picture enhancement, restoration, segmentation, and coding\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"pattern recognition, tomography\"}],\"text\":\"Pattern recognition and tomography\"}]}","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_b679e3cf25eb2922e638a7d2","course_id":"COMPSCI/ECE 533","catalog_version_id":"30c0b211758ada944e012a8dc308a5193631908acf0c74b973ddb82b5d95b906","record_version_id":"73aa750d2208753410e854dc4f21438379b378ed5d8be764efd83b471662a750","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"2f4a13ff38251286506d35988911f361c91db1977a11de628b0b5ab6c26302e7","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":true},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_b679e3cf25eb2922e638a7d2","course_id":"COMPSCI/ECE 533","catalog_version_id":"30c0b211758ada944e012a8dc308a5193631908acf0c74b973ddb82b5d95b906","record_version_id":"73aa750d2208753410e854dc4f21438379b378ed5d8be764efd83b471662a750","job_id":"enrich-789789da373eecc1ff75f626","output_id":"691be38fbe503c0276f374e3759b7ada7904d3fa2994eee543283b47ec03ebbd","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\"],\"condition\":null,\"course\":null,\"evidence\":\"E C E 330and (MATH 320or340), graduate/professional standing, or member of Engineering Guest Students\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[\"n4\",\"n5\"],\"condition\":null,\"course\":null,\"evidence\":\"E C E 330and (MATH 320or340)\",\"id\":\"n1\",\"kind\":\"all\"},{\"children\":[],\"condition\":\"graduate/professional standing\",\"course\":null,\"evidence\":\"graduate/professional standing\",\"id\":\"n2\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"member of Engineering Guest Students\",\"course\":null,\"evidence\":\"member of Engineering Guest Students\",\"id\":\"n3\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":330,\"minimum_grade\":null,\"subjects\":[\"ECE\"],\"timing\":\"prior\"},\"evidence\":\"E C E 330\",\"id\":\"n4\",\"kind\":\"course\"},{\"children\":[\"n6\",\"n7\"],\"condition\":null,\"course\":null,\"evidence\":\"(MATH 320or340)\",\"id\":\"n5\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":320,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"MATH 320\",\"id\":\"n6\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":340,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"340\",\"id\":\"n7\",\"kind\":\"course\"}],\"notes\":[],\"root\":\"n0\",\"status\":\"parsed\"}","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_b679e3cf25eb2922e638a7d2","course_id":"COMPSCI/ECE 533","catalog_version_id":"30c0b211758ada944e012a8dc308a5193631908acf0c74b973ddb82b5d95b906","record_version_id":"73aa750d2208753410e854dc4f21438379b378ed5d8be764efd83b471662a750","job_id":"enrich-789789da373eecc1ff75f626","output_id":"691be38fbe503c0276f374e3759b7ada7904d3fa2994eee543283b47ec03ebbd","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"ECE 330\",\"field\":\"description\",\"quote\":\"Time-domain response and convolution; frequency-domain response using Fourier series, Fourier transform, Laplace transform; discrete Fourier series and transform; sampling; z-transform; relationships between time and frequency descriptions of discrete and continuous signals and systems.\"},{\"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. Linear algebra topics include linear systems, matrices and their algebra, vector spaces and linear transformations, eigenvalues and eigenvectors.\"},{\"course_id\":\"MATH 340\",\"field\":\"description\",\"quote\":\"An introduction to linear algebra. Topics include matrix algebra, linear systems of equations, vector spaces, sub-spaces, linear dependence, span, basis, rank of matrices, determinants, linear transformations, coordinate representations, kernel, range, eigenvalues and eigenvectors, diagonalization, inner products and orthogonal vectors, symmetric matrices.\"}],\"text\":\"Background in signals and systems, linear algebra, and differential equations.\"}],\"search_phrases\":[\"image processing mathematical models\",\"image enhancement restoration segmentation\",\"pattern recognition tomography\",\"linear algebra differential equations image processing\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"Mathematical representation of continuous and digital images; models of image degradation; picture enhancement, restoration, segmentation, and coding; pattern recognition, tomography.\"}],\"text\":\"Mathematical representation of images, image degradation modeling, enhancement, restoration, segmentation, coding, pattern recognition, and tomography.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"title\",\"quote\":\"IMAGE PROCESSING\"},{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"Mathematical representation of continuous and digital images; models of image degradation; picture enhancement, restoration, segmentation, and coding; pattern recognition, tomography.\"}],\"text\":\"COMPSCI/ECE 533 covers the mathematical representation of images, including degradation models, enhancement, restoration, segmentation, coding, pattern recognition, and tomography.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"Mathematical representation of continuous and digital images\"}],\"text\":\"Mathematical representation of continuous and digital images\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"models of image degradation\"}],\"text\":\"Models of image degradation\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"picture enhancement, restoration, segmentation, and coding\"}],\"text\":\"Picture enhancement, restoration, segmentation, and coding\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"pattern recognition, tomography\"}],\"text\":\"Pattern recognition and tomography\"}]}","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_b679e3cf25eb2922e638a7d2","course_id":"COMPSCI/ECE 533","catalog_version_id":"30c0b211758ada944e012a8dc308a5193631908acf0c74b973ddb82b5d95b906","record_version_id":"73aa750d2208753410e854dc4f21438379b378ed5d8be764efd83b471662a750","job_id":"enrich-789789da373eecc1ff75f626","output_id":"691be38fbe503c0276f374e3759b7ada7904d3fa2994eee543283b47ec03ebbd","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_b679e3cf25eb2922e638a7d2","course_id":"COMPSCI/ECE 533","catalog_version_id":"30c0b211758ada944e012a8dc308a5193631908acf0c74b973ddb82b5d95b906","record_version_id":"73aa750d2208753410e854dc4f21438379b378ed5d8be764efd83b471662a750","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"23209c10c9b7af65096578a834cbc9221bd1944e009b71bb1a241fe1c632f458","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\"],\"condition\":null,\"course\":null,\"evidence\":\"E C E 330and (MATH 320or340), graduate/professional standing, or member of Engineering Guest Students\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[\"n4\",\"n5\"],\"condition\":null,\"course\":null,\"evidence\":\"E C E 330and (MATH 320or340)\",\"id\":\"n1\",\"kind\":\"all\"},{\"children\":[],\"condition\":\"graduate/professional standing\",\"course\":null,\"evidence\":\"graduate/professional standing\",\"id\":\"n2\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"member of Engineering Guest Students\",\"course\":null,\"evidence\":\"member of Engineering Guest Students\",\"id\":\"n3\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":330,\"minimum_grade\":null,\"subjects\":[\"ECE\"],\"timing\":\"prior\"},\"evidence\":\"E C E 330\",\"id\":\"n4\",\"kind\":\"course\"},{\"children\":[\"n6\",\"n7\"],\"condition\":null,\"course\":null,\"evidence\":\"(MATH 320or340)\",\"id\":\"n5\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":320,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"MATH 320\",\"id\":\"n6\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":340,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"340\",\"id\":\"n7\",\"kind\":\"course\"}],\"notes\":[],\"root\":\"n0\",\"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_b679e3cf25eb2922e638a7d2","course_id":"COMPSCI/ECE 533","catalog_version_id":"30c0b211758ada944e012a8dc308a5193631908acf0c74b973ddb82b5d95b906","record_version_id":"73aa750d2208753410e854dc4f21438379b378ed5d8be764efd83b471662a750","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"23209c10c9b7af65096578a834cbc9221bd1944e009b71bb1a241fe1c632f458","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"ECE 330\",\"field\":\"description\",\"quote\":\"Time-domain response and convolution; frequency-domain response using Fourier series, Fourier transform, Laplace transform; discrete Fourier series and transform; sampling; z-transform; relationships between time and frequency descriptions of discrete and continuous signals and systems.\"},{\"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. Linear algebra topics include linear systems, matrices and their algebra, vector spaces and linear transformations, eigenvalues and eigenvectors.\"},{\"course_id\":\"MATH 340\",\"field\":\"description\",\"quote\":\"An introduction to linear algebra. Topics include matrix algebra, linear systems of equations, vector spaces, sub-spaces, linear dependence, span, basis, rank of matrices, determinants, linear transformations, coordinate representations, kernel, range, eigenvalues and eigenvectors, diagonalization, inner products and orthogonal vectors, symmetric matrices.\"}],\"text\":\"Background in signals and systems, linear algebra, and differential equations.\"}],\"search_phrases\":[\"image processing mathematical models\",\"image enhancement restoration segmentation\",\"pattern recognition tomography\",\"linear algebra differential equations image processing\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"Mathematical representation of continuous and digital images; models of image degradation; picture enhancement, restoration, segmentation, and coding; pattern recognition, tomography.\"}],\"text\":\"Mathematical representation of images, image degradation modeling, enhancement, restoration, segmentation, coding, pattern recognition, and tomography.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"title\",\"quote\":\"IMAGE PROCESSING\"},{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"Mathematical representation of continuous and digital images; models of image degradation; picture enhancement, restoration, segmentation, and coding; pattern recognition, tomography.\"}],\"text\":\"COMPSCI/ECE 533 covers the mathematical representation of images, including degradation models, enhancement, restoration, segmentation, coding, pattern recognition, and tomography.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"Mathematical representation of continuous and digital images\"}],\"text\":\"Mathematical representation of continuous and digital images\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"models of image degradation\"}],\"text\":\"Models of image degradation\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"picture enhancement, restoration, segmentation, and coding\"}],\"text\":\"Picture enhancement, restoration, segmentation, and coding\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"pattern recognition, tomography\"}],\"text\":\"Pattern recognition and tomography\"}]}","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_b679e3cf25eb2922e638a7d2","course_id":"COMPSCI/ECE 533","catalog_version_id":"30c0b211758ada944e012a8dc308a5193631908acf0c74b973ddb82b5d95b906","record_version_id":"73aa750d2208753410e854dc4f21438379b378ed5d8be764efd83b471662a750","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"23209c10c9b7af65096578a834cbc9221bd1944e009b71bb1a241fe1c632f458","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":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_b679e3cf25eb2922e638a7d2","course_id":"COMPSCI/ECE 533","catalog_version_id":"30c0b211758ada944e012a8dc308a5193631908acf0c74b973ddb82b5d95b906","record_version_id":"73aa750d2208753410e854dc4f21438379b378ed5d8be764efd83b471662a750","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"23209c10c9b7af65096578a834cbc9221bd1944e009b71bb1a241fe1c632f458","section":"student_summary","status":"invalid","value_json":"{\"context_hash\":\"590690aeeee0306049cb01922b33a9429c05a29903e5a7b26e9848044aa332ed\",\"course_id\":\"COMPSCI/ECE 533\",\"current_instructors\":[{\"instructor_uid\":\"instructor_4711b21b49f9472e61cdc66f\",\"message\":\"No course-specific reviews available\",\"name\":\"Andreas Velten\",\"review_status\":\"no_course_reviews\",\"rmp_instructor_id\":null,\"summary\":[{\"citations\":[{\"course_id\":\"COMPSCI/ECE 533\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":1,\"source_course_id\":\"370be059-d2ff-365f-88ff-0d0663fc972c\",\"source_record\":{\"entity_id\":\"370be059-d2ff-365f-88ff-0d0663fc972c\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Fall 2025: 3.93 GPA, 97.7% A/AB (n=43 letter grades).\"}]}],\"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\":true,\"profile_hash\":\"5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02\",\"quick_take\":[{\"citations\":[{\"course_id\":\"COMPSCI/ECE 533\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"370be059-d2ff-365f-88ff-0d0663fc972c\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1242\",\"type\":\"grade\"},{\"course_id\":\"COMPSCI/ECE 533\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"370be059-d2ff-365f-88ff-0d0663fc972c\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1252\",\"type\":\"grade\"},{\"course_id\":\"COMPSCI/ECE 533\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"370be059-d2ff-365f-88ff-0d0663fc972c\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Fall 2023: 3.83 GPA, 97.1% A/AB (n=35 letter grades); Fall 2024: 3.87 GPA, 96.2% A/AB (n=52 letter grades); Fall 2025: 3.93 GPA, 97.7% A/AB (n=43 letter grades).\"}],\"student_experience\":[],\"task_hash\":\"74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68\",\"teaching_history\":[{\"citations\":[{\"course_id\":\"COMPSCI/ECE 533\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":1,\"source_course_id\":\"370be059-d2ff-365f-88ff-0d0663fc972c\",\"source_record\":{\"entity_id\":\"370be059-d2ff-365f-88ff-0d0663fc972c\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"}],\"text\":\"ANDREAS VELTEN is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule.\"},{\"citations\":[{\"course_id\":\"COMPSCI/ECE 533\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":1,\"source_course_id\":\"370be059-d2ff-365f-88ff-0d0663fc972c\",\"source_record\":{\"entity_id\":\"370be059-d2ff-365f-88ff-0d0663fc972c\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1212\",\"type\":\"grade\"}],\"text\":\"BERNARD LESIEUTRE is recorded teaching in Fall 2020. 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_b679e3cf25eb2922e638a7d2","course_id":"COMPSCI/ECE 533","catalog_version_id":"30c0b211758ada944e012a8dc308a5193631908acf0c74b973ddb82b5d95b906","record_version_id":"73aa750d2208753410e854dc4f21438379b378ed5d8be764efd83b471662a750","job_id":"enrich-f516c4d3e82cfe326b4f5f54","output_id":"46760fd41359bc24be965d28e78fbdceea8c60552368521654f6c6305c79d791","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\"],\"condition\":null,\"course\":null,\"evidence\":\"E C E 330and (MATH 320or340), graduate/professional standing, or member of Engineering Guest Students\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[\"n4\",\"n5\"],\"condition\":null,\"course\":null,\"evidence\":\"E C E 330and (MATH 320or340)\",\"id\":\"n1\",\"kind\":\"all\"},{\"children\":[],\"condition\":\"graduate/professional standing\",\"course\":null,\"evidence\":\"graduate/professional standing\",\"id\":\"n2\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"member of Engineering Guest Students\",\"course\":null,\"evidence\":\"member of Engineering Guest Students\",\"id\":\"n3\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":330,\"minimum_grade\":null,\"subjects\":[\"ECE\"],\"timing\":\"prior\"},\"evidence\":\"E C E 330\",\"id\":\"n4\",\"kind\":\"course\"},{\"children\":[\"n6\",\"n7\"],\"condition\":null,\"course\":null,\"evidence\":\"(MATH 320or340)\",\"id\":\"n5\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":320,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"MATH 320\",\"id\":\"n6\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":340,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"340\",\"id\":\"n7\",\"kind\":\"course\"}],\"notes\":[],\"root\":\"n0\",\"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_b679e3cf25eb2922e638a7d2","course_id":"COMPSCI/ECE 533","catalog_version_id":"30c0b211758ada944e012a8dc308a5193631908acf0c74b973ddb82b5d95b906","record_version_id":"73aa750d2208753410e854dc4f21438379b378ed5d8be764efd83b471662a750","job_id":"enrich-f516c4d3e82cfe326b4f5f54","output_id":"46760fd41359bc24be965d28e78fbdceea8c60552368521654f6c6305c79d791","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"ECE 330\",\"field\":\"description\",\"quote\":\"Time-domain response and convolution; frequency-domain response using Fourier series, Fourier transform, Laplace transform; discrete Fourier series and transform; sampling; z-transform; relationships between time and frequency descriptions of discrete and continuous signals and systems.\"},{\"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. Linear algebra topics include linear systems, matrices and their algebra, vector spaces and linear transformations, eigenvalues and eigenvectors.\"},{\"course_id\":\"MATH 340\",\"field\":\"description\",\"quote\":\"An introduction to linear algebra. Topics include matrix algebra, linear systems of equations, vector spaces, sub-spaces, linear dependence, span, basis, rank of matrices, determinants, linear transformations, coordinate representations, kernel, range, eigenvalues and eigenvectors, diagonalization, inner products and orthogonal vectors, symmetric matrices.\"}],\"text\":\"Background in signals and systems, linear algebra, and differential equations.\"}],\"search_phrases\":[\"image processing mathematical models\",\"image enhancement restoration segmentation\",\"pattern recognition tomography\",\"linear algebra differential equations image processing\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"Mathematical representation of continuous and digital images; models of image degradation; picture enhancement, restoration, segmentation, and coding; pattern recognition, tomography.\"}],\"text\":\"Mathematical representation of images, image degradation modeling, enhancement, restoration, segmentation, coding, pattern recognition, and tomography.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"title\",\"quote\":\"IMAGE PROCESSING\"},{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"Mathematical representation of continuous and digital images; models of image degradation; picture enhancement, restoration, segmentation, and coding; pattern recognition, tomography.\"}],\"text\":\"COMPSCI/ECE 533 covers the mathematical representation of images, including degradation models, enhancement, restoration, segmentation, coding, pattern recognition, and tomography.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"Mathematical representation of continuous and digital images\"}],\"text\":\"Mathematical representation of continuous and digital images\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"models of image degradation\"}],\"text\":\"Models of image degradation\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"picture enhancement, restoration, segmentation, and coding\"}],\"text\":\"Picture enhancement, restoration, segmentation, and coding\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 533\",\"field\":\"description\",\"quote\":\"pattern recognition, tomography\"}],\"text\":\"Pattern recognition and tomography\"}]}","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_b679e3cf25eb2922e638a7d2","course_id":"COMPSCI/ECE 533","catalog_version_id":"30c0b211758ada944e012a8dc308a5193631908acf0c74b973ddb82b5d95b906","record_version_id":"73aa750d2208753410e854dc4f21438379b378ed5d8be764efd83b471662a750","job_id":"enrich-f516c4d3e82cfe326b4f5f54","output_id":"46760fd41359bc24be965d28e78fbdceea8c60552368521654f6c6305c79d791","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":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_b679e3cf25eb2922e638a7d2","course_id":"COMPSCI/ECE 533","catalog_version_id":"30c0b211758ada944e012a8dc308a5193631908acf0c74b973ddb82b5d95b906","record_version_id":"73aa750d2208753410e854dc4f21438379b378ed5d8be764efd83b471662a750","job_id":"enrich-f516c4d3e82cfe326b4f5f54","output_id":"46760fd41359bc24be965d28e78fbdceea8c60552368521654f6c6305c79d791","section":"student_summary","status":"valid","value_json":"{\"context_hash\":\"590690aeeee0306049cb01922b33a9429c05a29903e5a7b26e9848044aa332ed\",\"course_id\":\"COMPSCI/ECE 533\",\"current_instructors\":[{\"instructor_uid\":\"instructor_4711b21b49f9472e61cdc66f\",\"message\":\"No course-specific reviews available\",\"name\":\"Andreas Velten\",\"review_status\":\"no_course_reviews\",\"rmp_instructor_id\":null,\"summary\":[{\"citations\":[{\"course_id\":\"COMPSCI/ECE 533\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":1,\"source_course_id\":\"370be059-d2ff-365f-88ff-0d0663fc972c\",\"source_record\":{\"entity_id\":\"370be059-d2ff-365f-88ff-0d0663fc972c\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Fall 2025: 3.93 GPA, 97.7% A/AB (n=43 letter grades).\"}]}],\"difficulty_workload\":[{\"citations\":[{\"instructor_name\":\"Kangwook Lee\",\"review_date\":\"2024-09-24 17:27:20 +0000 UTC\",\"review_id\":\"ee99d480db6c158dcfee42a6\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_instructor_id\":\"rmp:2517429\",\"source_review_id\":\"UmF0aW5nLTM5NzYyMTIx\",\"source_url\":\"https://www.ratemyprofessors.com/professor/2517429\",\"type\":\"review\"}],\"text\":\"Historical reviews indicate high difficulty, citing assignment errors and unclear problem explanations in class.\"}],\"errors\":[],\"historical_context\":[{\"citations\":[{\"instructor_name\":\"Kangwook Lee\",\"review_date\":\"2020-04-19 19:39:34 +0000 UTC\",\"review_id\":\"fe2ca885b9b7c0b97547b7d2\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_instructor_id\":\"rmp:2517429\",\"source_review_id\":\"UmF0aW5nLTMzMDg1OTkw\",\"source_url\":\"https://www.ratemyprofessors.com/professor/2517429\",\"type\":\"review\"},{\"instructor_name\":\"Bernard Lesieutre\",\"review_date\":\"2020-12-08 07:34:26 +0000 UTC\",\"review_id\":\"f429f2613a31ece1c1844e7d\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_instructor_id\":\"rmp:1649338\",\"source_review_id\":\"UmF0aW5nLTMzOTgyNjYz\",\"source_url\":\"https://www.ratemyprofessors.com/professor/1649338\",\"type\":\"review\"},{\"instructor_name\":\"Kangwook Lee\",\"review_date\":\"2024-09-24 17:27:20 +0000 UTC\",\"review_id\":\"ee99d480db6c158dcfee42a6\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_instructor_id\":\"rmp:2517429\",\"source_review_id\":\"UmF0aW5nLTM5NzYyMTIx\",\"source_url\":\"https://www.ratemyprofessors.com/professor/2517429\",\"type\":\"review\"}],\"text\":\"Andreas Velten is the current instructor, but no reviews exist for his teaching. Historical reviews for Kangwook Lee and Bernard Lesieutre show conflicting experiences regarding clarity and rigor. Reviewers noted plagiarism enforcement issues and assignment errors under Lee, while Lesieutre was praised for clear lectures.\"}],\"message\":null,\"offered\":true,\"profile_hash\":\"e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1\",\"quick_take\":[{\"citations\":[{\"instructor_name\":\"Bernard Lesieutre\",\"review_date\":\"2020-12-08 07:34:26 +0000 UTC\",\"review_id\":\"f429f2613a31ece1c1844e7d\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_instructor_id\":\"rmp:1649338\",\"source_review_id\":\"UmF0aW5nLTMzOTgyNjYz\",\"source_url\":\"https://www.ratemyprofessors.com/professor/1649338\",\"type\":\"review\"}],\"text\":\"Historical reviews describe the course as easy with clear instruction and available online lectures.\"},{\"citations\":[{\"course_id\":\"COMPSCI/ECE 533\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"370be059-d2ff-365f-88ff-0d0663fc972c\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1242\",\"type\":\"grade\"},{\"course_id\":\"COMPSCI/ECE 533\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"370be059-d2ff-365f-88ff-0d0663fc972c\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1252\",\"type\":\"grade\"},{\"course_id\":\"COMPSCI/ECE 533\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"370be059-d2ff-365f-88ff-0d0663fc972c\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Fall 2023: 3.83 GPA, 97.1% A/AB (n=35 letter grades); Fall 2024: 3.87 GPA, 96.2% A/AB (n=52 letter grades); Fall 2025: 3.93 GPA, 97.7% A/AB (n=43 letter grades).\"}],\"student_experience\":[{\"citations\":[{\"instructor_name\":\"Kangwook Lee\",\"review_date\":\"2020-04-19 19:39:34 +0000 UTC\",\"review_id\":\"fe2ca885b9b7c0b97547b7d2\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_instructor_id\":\"rmp:2517429\",\"source_review_id\":\"UmF0aW5nLTMzMDg1OTkw\",\"source_url\":\"https://www.ratemyprofessors.com/professor/2517429\",\"type\":\"review\"}],\"text\":\"Historical reviews note strict plagiarism enforcement, including catching many students, but also criticize the instructor for failing to recognize plagiarism in a posted model project.\"}],\"task_hash\":\"74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68\",\"teaching_history\":[{\"citations\":[{\"course_id\":\"COMPSCI/ECE 533\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":1,\"source_course_id\":\"370be059-d2ff-365f-88ff-0d0663fc972c\",\"source_record\":{\"entity_id\":\"370be059-d2ff-365f-88ff-0d0663fc972c\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"}],\"text\":\"ANDREAS VELTEN is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule.\"},{\"citations\":[{\"course_id\":\"COMPSCI/ECE 533\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":1,\"source_course_id\":\"370be059-d2ff-365f-88ff-0d0663fc972c\",\"source_record\":{\"entity_id\":\"370be059-d2ff-365f-88ff-0d0663fc972c\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1212\",\"type\":\"grade\"}],\"text\":\"BERNARD LESIEUTRE is recorded teaching in Fall 2020. 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}]