# COMPSCI/ISYE 526: Advanced Linear Programming | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_ISYE_526) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07 ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T19:50:42.743001+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id d00c445ca211b98c453b3fac420b1817870f10d3c098b35a23d9346532b53bf6 ### course id COMPSCI/ISYE 526 ### course uid course\_c078b66a191a3ae8eb0f14c8 ### catalog version id 19a9f82caccda3ac5095d13d1beef5fe7c9e360c27bcc4c4db1b78d3be3b76f1 ### course number 526 ### subjects * COMPSCI * ISYE ### title ADVANCED LINEAR PROGRAMMING ### description Review of linear programming. Polynomial time methods for linear programming. Quadratic programs and linear complementarity problems and related solution techniques. Solution sets and their continuity properties. Error bounds for linear inequalities and programs. Parallel algorithms for linear and quadratic programs. ### requirements text STAT/​COMP SCI/​I SY E/​MATH  525and (COMP SCI 200,220,300, 301, 302,310, or placement intoCOMP SCI 300) or graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id dc8d8c4ea2f760dacdaa26047933dc375a263561c3374d716fb0185f5abd31be ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Advanced linear programming covering polynomial time methods, quadratic programs, complementarity problems, and parallel algorithms. ### llm topics * Linear programming and polynomial time methods. * Quadratic programs and linear complementarity problems. * Solution set continuity and error bounds. * Parallel algorithms for optimization. ### llm skills * Polynomial time methods for linear programming. * Solution techniques for quadratic programs and linear complementarity problems. * Analysis of solution set continuity and error bounds. * Parallel algorithms for linear and quadratic programs. ### llm assumed background * Foundations in linear optimization, simplex method, and duality theory. * Competence in object-oriented programming, data structures, and algorithmic complexity. * Basic programming skills and problem decomposition. ### llm search phrases * advanced linear programming course * quadratic programs optimization * linear complementarity problems * parallel algorithms optimization * COMPSCI 526 prerequisites ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 29622fd7b8469ffb1cc25c546cab6f25174694ac55e49c06ef7e1dd1ef93365b #### course id COMPSCI/ISYE 526 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Fall 2014: 2.69 GPA, 75.0% A/AB (n=8 letter grades); Spring 2020: 3.75 GPA, 100.0% A/AB (n=6 letter grades). ```json { "citations": [ { "course_id": "COMPSCI/ISYE 526", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "c29cf126-9227-37ac-9656-213f0468eb66", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "COMPSCI/ISYE 526", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "c29cf126-9227-37ac-9656-213f0468eb66", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1204", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "STAT/COMP SCI/I SY E/MATH 525and (COMP SCI 200,220,300, 301, 302,310, or placement intoCOMP SCI 300) or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "(COMP SCI 200,220,300, 301, 302,310, or placement intoCOMP SCI 300)", "id": "n1", "kind": "all" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n2", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 525, "minimum_grade": null, "subjects": [ "COMPSCI", "ISYE", "MATH", "STAT" ], "timing": "prior" }, "evidence": "STAT/COMP SCI/I SY E/MATH 525", "id": "n3", "kind": "course" }, { "children": [ "n5", "n6", "n7", "n8", "n9", "n10", "n11" ], "condition": null, "course": null, "evidence": "COMP SCI 200,220,300, 301, 302,310, or placement intoCOMP SCI 300", "id": "n4", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 200, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "COMP SCI 200", "id": "n5", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 220, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "220", "id": "n6", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "300", "id": "n7", "kind": "course" }, { "children": [], "condition": "301", "course": null, "evidence": "301", "id": "n8", "kind": "condition" }, { "children": [], "condition": "302", "course": null, "evidence": "302", "id": "n9", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 310, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "310", "id": "n10", "kind": "course" }, { "children": [], "condition": "placement intoCOMP SCI 300", "course": null, "evidence": "placement intoCOMP SCI 300", "id": "n11", "kind": "condition" } ] ``` #### notes * COMP SCI 301 and 302 are listed in requirements\_text but not in linked\_courses; represented as conditions. * placement intoCOMP SCI 300 is a verbatim condition. * graduate/professional standing is a verbatim condition. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_69d654b959e9cbce04a965a5", "source": "madgrades", "source_instructor_id": "4998825", "identity_basis": "source_id", "identity_status": "source_identified", "name": "THOMAS RUTHERFORD", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 23, "quality": 2.09, "difficulty": 3.57, "quality_count": 23, "difficulty_count": 23, "profile_id": "rmp:1816941", "source_url": "https://www.ratemyprofessors.com/professor/1816941", "match_basis": "exact_name", "observed_at": "2026-09-07 16:02:00.670037+00:00", "courses": { "course_5ac40af4f08148fe1cc934d6": { "review_count": 13, "quality": 1.54, "difficulty": 3.38, "quality_count": 13, "difficulty_count": 13 }, "course_9b7c3a369379fb3aa83e5bb9": { "review_count": 3, "quality": 1.67, "difficulty": 5, "quality_count": 3, "difficulty_count": 3 }, "course_9aef0857964ff0beeddeae13": { "review_count": 5, "quality": 2.8, "difficulty": 3.6, "quality_count": 5, "difficulty_count": 5 } }, "bayesian_quality": 2.820086410951905, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.437, "graded": 515, "counts": [ 161, 170, 161, 14, 6, 1, 2 ], "sections": 45 }, "instructor_url": "/instructors/THOMAS_RUTHERFORD--instructor_69d654b959e9cbce04a965a5" }, { "instructor_uid": "instructor_283e3dfc0723cfe32c219a0f", "source": "madgrades", "source_instructor_id": "5540494", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XIAOMIN ZHANG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.75, "graded": 6, "counts": [ 3, 3, 0, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/XIAOMIN_ZHANG" }, { "instructor_uid": "instructor_b2b79e8f7cf2014ccc109e83", "source": "madgrades", "source_instructor_id": "1114818", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHAEL FERRIS", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 23, "quality": 1.78, "difficulty": 4.39, "quality_count": 23, "difficulty_count": 23, "profile_id": "rmp:926803", "source_url": "https://www.ratemyprofessors.com/professor/926803", "match_basis": "exact_name", "observed_at": "2026-09-07 16:18:22.090012+00:00", "courses": { "course_dd8d2094feb4657373e2e2f3": { "review_count": 17, "quality": 1.71, "difficulty": 4.35, "quality_count": 17, "difficulty_count": 17 }, "course_639b02029dbf953b9704cd63": { "review_count": 2, "quality": 1.5, "difficulty": 4, "quality_count": 2, "difficulty_count": 2 }, "course_a04e8d794b24e3b81b984774": { "review_count": 4, "quality": 2.25, "difficulty": 4.75, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 2.6542724574635326, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.119, "graded": 1154, "counts": [ 363, 258, 206, 154, 94, 53, 26 ], "sections": 137 }, "instructor_url": "/instructors/MICHAEL_FERRIS--instructor_b2b79e8f7cf2014ccc109e83" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ISYE 526", "course_uid": "course_c078b66a191a3ae8eb0f14c8", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "THOMAS RUTHERFORD" ], "a": 1, "ab": 5, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 8, "source_aliases": [ "COMPSCI/ISYE 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ISYE 526", "course_uid": "course_c078b66a191a3ae8eb0f14c8", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "THOMAS RUTHERFORD" ], "a": 0, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 0, "source_aliases": [ "COMPSCI/ISYE 526" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ISYE 526", "course_uid": "course_c078b66a191a3ae8eb0f14c8", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Michael Ferris", "XIAOMIN ZHANG" ], "a": 3, "ab": 3, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 8, "source_aliases": [ "COMPSCI/ISYE 526" ] } ] ``` ### statistics #### gpa 3.143 #### graded 14 #### counts * 4 * 8 * 0 * 0 * 0 * 0 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_c078b66a191a3ae8eb0f14c8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_c078b66a191a3ae8eb0f14c8-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_c078b66a191a3ae8eb0f14c8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_c078b66a191a3ae8eb0f14c8-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_c078b66a191a3ae8eb0f14c8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_c078b66a191a3ae8eb0f14c8-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.142857142857143 #### count 14 #### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ISYE | | ### terms #### 1152 ##### term 1152 ##### gpa 2.6875 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ISYE | | #### 1204 ##### term 1204 ##### gpa 3.75 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ISYE | | ### benchmarks #### all ##### school ###### size 2042 ###### gpa 3.595056189098323 ###### top Share 77.78680991153752 ###### count 79 ##### COMPSCI ###### size 56 ###### gpa 3.5172328668884916 ###### top Share 74.68922230938551 ###### count 116 ##### ISYE ###### size 33 ###### gpa 3.695311577116953 ###### top Share 85.01161869658895 ###### count 73 #### terms ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### COMPSCI ###### size 30 ###### gpa 3.3169698368361287 ###### top Share 64.20051564737066 ###### count 48.5 ###### ISYE ###### size 17 ###### gpa 3.4850179961463574 ###### top Share 73.7876204102473 ###### count 47 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### COMPSCI ###### size 35 ###### gpa 3.3323013900568625 ###### top Share 63.38685451839816 ###### count 56 ###### ISYE ###### size 17 ###### gpa 3.5725128229421537 ###### top Share 76.66908174242778 ###### count 47 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### COMPSCI ###### size 42 ###### gpa 3.6240893265324647 ###### top Share 79.98991493017058 ###### count 90.5 ###### ISYE ###### size 21 ###### gpa 3.826924971533834 ###### top Share 92.62448121984468 ###### count 57 ## instructor Trends ```json [ { "uid": "instructor_69d654b959e9cbce04a965a5", "name": "THOMAS RUTHERFORD", "count": 8, "terms": [ { "term": "1152", "count": 8, "sections": 1, "gpa": 2.6875 } ] }, { "uid": "instructor_283e3dfc0723cfe32c219a0f", "name": "XIAOMIN ZHANG", "count": 6, "terms": [ { "term": "1204", "count": 6, "sections": 1, "gpa": 3.75 } ] }, { "uid": "instructor_b2b79e8f7cf2014ccc109e83", "name": "MICHAEL FERRIS", "count": 6, "terms": [ { "term": "1204", "count": 6, "sections": 1, "gpa": 3.75 } ] } ] ``` ## following None recorded.