# ME 468: Computer Modeling and Simulation of Autonomous Vehicles and Robots | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ME_468) ## 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 cb2e1980538c1745c2d85c7b9f61d95dfe62df6eaff2df6ffdd6f03274788c72 ### course id ME 468 ### course uid course\_c1cc1e8fda455f9539167f25 ### catalog version id 85a70fe5c67f25cf12f3f110a86347b6e81dd31eb2d871e6c20ca6d7b1a83996 ### course number 468 ### subjects * ME ### title COMPUTER MODELING AND SIMULATION OF AUTONOMOUS VEHICLES AND ROBOTS ### description Introduction to the Robot Operating System (ROS). Concepts of vehicle dynamics modeling and simulation, with focus on tire, suspension, steering system, and powertrain modeling. Simulation of sensors (camera, lidar, radar, GPS, IMU). Terramechanics modeling for mobility on deformable terrains. Introduction to the autonomy stack (sensing, perception, planning, and control). Elements of artificial intelligence in autonomy. Elements of verification and validation. ### requirements text M E 459and (COMP SCI 200,220,300, 301, 302,320, or placement intoCOMP SCI 300), graduate/professional standing, or member of Engineering Guest Students ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id a65abb47b277fbc5ad5a1845eeb5cc41441878ea3cbb917f98c9801b1c76e854 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ME 468 introduces ROS and computer modeling for autonomous vehicles, covering dynamics, sensor simulation, and autonomy stack elements. ### llm topics * Vehicle dynamics and powertrain modeling * Sensor simulation * Terramechanics and terrain mobility * Autonomy stack components * AI in autonomous systems * Verification and validation ### llm skills * Robot Operating System (ROS) implementation * Vehicle dynamics modeling and simulation * Sensor simulation * Terramechanics modeling * Autonomy stack integration * AI in autonomy * Verification and validation ### llm assumed background * Computing concepts for engineering modeling and simulation * Object-oriented programming and data structures * Basic programming and software development practices ### llm search phrases * ROS autonomous vehicle simulation * robotics vehicle dynamics modeling * autonomy stack sensing perception planning control * terramechanics deformable terrain * sensor simulation lidar radar GPS ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 8e5b28da84fb6e8f71c9d0b4f10cbedc0e58f553e92d4fd43c8ac14c7d60067a #### course id ME 468 #### 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 — Spring 2022: 3.79 GPA, 88.5% A/AB (n=26 letter grades). ```json { "citations": [ { "course_id": "ME 468", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "13d65f13-dd73-31c7-bdc3-7a8eb32badac", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1224", "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", "n3" ], "condition": null, "course": null, "evidence": "M E 459and (COMP SCI 200,220,300, 301, 302,320, or placement intoCOMP SCI 300), graduate/professional standing, or member of Engineering Guest Students", "id": "n0", "kind": "any" }, { "children": [ "n4", "n5" ], "condition": null, "course": null, "evidence": "M E 459and (COMP SCI 200,220,300, 301, 302,320, 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": "member of Engineering Guest Students", "course": null, "evidence": "member of Engineering Guest Students", "id": "n3", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 459, "minimum_grade": null, "subjects": [ "ME" ], "timing": "prior" }, "evidence": "M E 459", "id": "n4", "kind": "course" }, { "children": [ "n6", "n7", "n8", "n9", "n10", "n11", "n12" ], "condition": null, "course": null, "evidence": "(COMP SCI 200,220,300, 301, 302,320, or placement intoCOMP SCI 300)", "id": "n5", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 200, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "COMP SCI 200", "id": "n6", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 220, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "220", "id": "n7", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "300", "id": "n8", "kind": "course" }, { "children": [], "condition": "301", "course": null, "evidence": "301", "id": "n9", "kind": "condition" }, { "children": [], "condition": "302", "course": null, "evidence": "302", "id": "n10", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 320, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "320", "id": "n11", "kind": "course" }, { "children": [], "condition": "placement intoCOMP SCI 300", "course": null, "evidence": "placement intoCOMP SCI 300", "id": "n12", "kind": "condition" } ] ``` #### notes * Courses 301 and 302 are referenced in requirements but absent from linked\_courses/lookup\_evidence. They are preserved as verbatim condition nodes. Status set to needs\_review due to unresolvable references. #### root n0 #### status needs\_review ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_2a89e605adc37d459f748897", "source": "madgrades", "source_instructor_id": "4002508", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DAN NEGRUT", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 16, "quality": 4.69, "difficulty": 3, "quality_count": 16, "difficulty_count": 16, "profile_id": "rmp:812301", "source_url": "https://www.ratemyprofessors.com/professor/812301", "match_basis": "exact_name", "observed_at": "2026-09-07 16:46:30.629179+00:00", "courses": { "course_63e805b33518ff3fd8dc0a39": { "review_count": 11, "quality": 4.82, "difficulty": 3.09, "quality_count": 11, "difficulty_count": 11 }, "course_16dd91dc41baac6af9c4c95b": { "review_count": 1, "quality": 4, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_691928789e696386436f0132": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_30b7af243793fc0540887d4f": { "review_count": 2, "quality": 4.5, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 4.117603213081442, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.811, "graded": 1308, "counts": [ 1002, 189, 68, 33, 13, 3, 0 ], "sections": 230 }, "instructor_url": "/instructors/DAN_NEGRUT--instructor_2a89e605adc37d459f748897" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ME 468", "course_uid": "course_c1cc1e8fda455f9539167f25", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Dan Negrut" ], "a": 20, "ab": 3, "b": 2, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 26, "source_aliases": [ "ME 468" ] } ] ``` ### statistics #### gpa 3.788 #### graded 26 #### counts * 20 * 3 * 2 * 0 * 1 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_c1cc1e8fda455f9539167f25-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_c1cc1e8fda455f9539167f25-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_c1cc1e8fda455f9539167f25-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_c1cc1e8fda455f9539167f25-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_c1cc1e8fda455f9539167f25-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_c1cc1e8fda455f9539167f25-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.7884615384615383 #### count 26 #### departments | subject | comparison | | ------- | ---------- | | ME | | ### terms #### 1224 ##### term 1224 ##### gpa 3.7884615384615383 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | ME | | ### benchmarks #### all ##### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ##### ME ###### size 24 ###### gpa 3.523850925666045 ###### top Share 74.7737178649795 ###### count 102.5 #### terms ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### ME ###### size 24 ###### gpa 3.523850925666045 ###### top Share 74.7737178649795 ###### count 102.5 ## instructor Trends ```json [ { "uid": "instructor_2a89e605adc37d459f748897", "name": "DAN NEGRUT", "count": 26, "terms": [ { "term": "1224", "count": 26, "sections": 2, "gpa": 3.7884615384615383 } ] } ] ``` ## following None recorded.