# COMPSCI 550: Algorithmic Game Theory & Learning | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_550) ## 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 21375fb7a6aace6c4675a89def26cbb496c32b0dc4e7788ff3c62d84b0a9eb4e ### course id COMPSCI 550 ### course uid course\_e0c9e945731bc2f5d2482bbd ### catalog version id c3eb43b06e561f60eb4f859a072c3587d5835541427307b3eaa5617df6785dbd ### course number 550 ### subjects * COMPSCI ### title ALGORITHMIC GAME THEORY & LEARNING ### description Game theory is a mathematical lens for studying interactions among strategic agents, modeling these situations as games with the goal of understanding and influencing outcomes. Core topics include non-cooperative game theory, mechanism design, and cooperative game theory, examined via the lens of a computer scientist, drawing on tools from theoretical computer science, optimization, probability, and machine learning. Themes include the impact of self-interested behavior on others and on societal outcomes, the emergence of equilibria under such behavior, how such equilibria can be computed or approximated, designing mechanisms to ensure fair and efficient outcomes, and how cooperation can lead to fair value distribution. Particular emphasis is placed on studying, designing, and implementing algorithms. ### requirements text (COMP SCI 300or320), (MATH/​COMP SCI  240orSTAT/​COMP SCI/​MATH  475), and (MATH 320,340,341,345or375), or graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 0f6763ba0b7044e92c4ef0e0559cc40dac0d2e93fc24d71842a344466abbc0c2 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ALGORITHMIC GAME THEORY & LEARNING applies computer science to game theory, focusing on algorithmic design for strategic interactions, equilibria, and mechanism design. ### llm topics * Non-cooperative game theory, mechanism design, and cooperative game theory. * Impact of self-interested behavior on societal outcomes. * Emergence and computation of equilibria. * Fair value distribution through cooperation. ### llm skills * Designing and implementing algorithms for game-theoretic problems. * Designing mechanisms for fair and efficient outcomes. * Modeling strategic interactions and influencing outcomes. ### llm assumed background * Programming proficiency in Python or Java, including data structures and complexity analysis. * Foundations in discrete mathematics, including logic, sets, graphs, and combinatorics. * Linear algebra concepts including vector spaces, matrices, and eigenvalues. ### llm search phrases * algorithmic game theory course * mechanism design algorithms * strategic agents optimization * equilibrium computation * fair value distribution algorithms ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 3588916b40205936b92bdf2fb40cbed9b5a07bf2deb7e0ff8f5b7fc6adf0b2bd #### course id COMPSCI 550 #### 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 None recorded. #### 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": "(COMP SCI 300or320), (MATH/COMP SCI 240orSTAT/COMP SCI/MATH 475), and (MATH 320,340,341,345or375), or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [ "n3", "n4", "n5" ], "condition": null, "course": null, "evidence": "(COMP SCI 300or320), (MATH/COMP SCI 240orSTAT/COMP SCI/MATH 475), and (MATH 320,340,341,345or375)", "id": "n1", "kind": "all" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n2", "kind": "condition" }, { "children": [ "n6", "n7" ], "condition": null, "course": null, "evidence": "(COMP SCI 300or320)", "id": "n3", "kind": "any" }, { "children": [ "n8", "n9", "n10", "n11", "n12" ], "condition": null, "course": null, "evidence": "(MATH 320,340,341,345or375)", "id": "n4", "kind": "any" }, { "children": [ "n13", "n14" ], "condition": null, "course": null, "evidence": "(MATH/COMP SCI 240orSTAT/COMP SCI/MATH 475)", "id": "n5", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "COMP SCI 300", "id": "n6", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 320, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "320", "id": "n7", "kind": 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