# ME 459: Computing Concepts for Applications in Engineering | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ME_459) ## 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 d2e4c1611227b4f24bf185558982fd27e58979c38d17a2de6822bfc9dc2882a2 ### course id ME 459 ### course uid course\_16dd91dc41baac6af9c4c95b ### catalog version id 3a3fa802807d8e4d396aec772e8be8c9c25601d0315486300e644583007aabd7 ### course number 459 ### subjects * ME ### title COMPUTING CONCEPTS FOR APPLICATIONS IN ENGINEERING ### description An overview of computing concepts that support modeling and simulation in engineering applications. Learn the basics of computer architecture, software development and the interplay between software and hardware components. ### requirements text 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-f516c4d3e82cfe326b4f5f54 ### llm output id 47275dd29eda61d0da12b3947398fafe2857e882d01629a35ea02a3c2e30a369 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ME 459 teaches computing concepts, including computer architecture and software development, to support engineering modeling and simulation. ### llm topics * Computer architecture and software development. * Engineering modeling and simulation. ### llm skills * Computer architecture, software development, and software-hardware interplay. ### llm assumed background * Programming fundamentals, object-oriented design, data structures, and Python data science tools. ### llm search phrases * engineering computing simulation * ME 459 computing concepts * COMPSCI 300 object oriented programming * COMPSCI 320 data science programming ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash e3cf72c5530cf9b1d85aae8b95786373266faa02ab24987007e26e6f7dcce6a6 #### course id ME 459 #### current instructors None recorded. #### difficulty workload Historical reviews of Dan Negrut: Homeworks require substantial self-teaching and represent a heavy workload, despite the material itself not being overly difficult. ```json { "citations": [ { "instructor_name": "Dan Negrut", "review_date": "2020-12-17 17:51:46 +0000 UTC", "review_id": "d84b42e883bf5c008d8ffafe", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:812301", "source_review_id": "UmF0aW5nLTM0MTIxNjAx", "source_url": "https://www.ratemyprofessors.com/professor/812301", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Dan Negrut: Dan Negrut's ME 459 requires significant self-teaching and heavy homework effort, though the material itself is not overly difficult. Reviewers note that grading is fair and exams are reasonable, presenting a challenge that is manageable rather than impossible. ```json { "citations": [ { "instructor_name": "Dan Negrut", "review_date": "2020-12-17 17:51:46 +0000 UTC", "review_id": "d84b42e883bf5c008d8ffafe", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:812301", "source_review_id": "UmF0aW5nLTM0MTIxNjAx", "source_url": "https://www.ratemyprofessors.com/professor/812301", "type": "review" } ] } ``` #### offered false #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews of Dan Negrut: Dan Negrut's ME 459 offers fair grading and reasonable exams, though homework demands significant self-teaching outside of class. ```json { "citations": [ { "instructor_name": "Dan Negrut", "review_date": "2020-12-17 17:51:46 +0000 UTC", "review_id": "d84b42e883bf5c008d8ffafe", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:812301", "source_review_id": "UmF0aW5nLTM0MTIxNjAx", "source_url": "https://www.ratemyprofessors.com/professor/812301", "type": "review" } ] } ``` Recent recorded grades — Fall 2020: 3.80 GPA, 90.0% A/AB (n=40 letter grades); Fall 2021: 3.86 GPA, 100.0% A/AB (n=33 letter grades); Spring 2023: 3.91 GPA, 98.2% A/AB (n=56 letter grades). ```json { "citations": [ { "course_id": "ME 459", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "fb78111f-a595-3843-9708-c1e8923503c9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "ME 459", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "fb78111f-a595-3843-9708-c1e8923503c9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "ME 459", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "fb78111f-a595-3843-9708-c1e8923503c9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1234", "type": "grade" } ] } ``` #### student experience Historical reviews of Dan Negrut: Students find the grading fair and exams challenging but manageable, provided they invest time in independent study for the assignments. ```json { "citations": [ { "instructor_name": "Dan Negrut", "review_date": "2020-12-17 17:51:46 +0000 UTC", "review_id": "d84b42e883bf5c008d8ffafe", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:812301", "source_review_id": "UmF0aW5nLTM0MTIxNjAx", "source_url": "https://www.ratemyprofessors.com/professor/812301", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history DAN NEGRUT is recorded teaching in Fall 2018, Fall 2019, Fall 2020, Fall 2021, Spring 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ME 459", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fb78111f-a595-3843-9708-c1e8923503c9", "source_record": { "entity_id": "fb78111f-a595-3843-9708-c1e8923503c9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "ME 459", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "fb78111f-a595-3843-9708-c1e8923503c9", "source_record": { "entity_id": "fb78111f-a595-3843-9708-c1e8923503c9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "ME 459", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fb78111f-a595-3843-9708-c1e8923503c9", "source_record": { "entity_id": "fb78111f-a595-3843-9708-c1e8923503c9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "ME 459", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "fb78111f-a595-3843-9708-c1e8923503c9", "source_record": { "entity_id": "fb78111f-a595-3843-9708-c1e8923503c9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "ME 459", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fb78111f-a595-3843-9708-c1e8923503c9", "source_record": { "entity_id": "fb78111f-a595-3843-9708-c1e8923503c9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "ME 459", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "fb78111f-a595-3843-9708-c1e8923503c9", "source_record": { "entity_id": "fb78111f-a595-3843-9708-c1e8923503c9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "ME 459", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fb78111f-a595-3843-9708-c1e8923503c9", "source_record": { "entity_id": "fb78111f-a595-3843-9708-c1e8923503c9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "ME 459", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "fb78111f-a595-3843-9708-c1e8923503c9", "source_record": { "entity_id": "fb78111f-a595-3843-9708-c1e8923503c9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "ME 459", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "fb78111f-a595-3843-9708-c1e8923503c9", "source_record": { "entity_id": "fb78111f-a595-3843-9708-c1e8923503c9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "ME 459", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "fb78111f-a595-3843-9708-c1e8923503c9", "source_record": { "entity_id": "fb78111f-a595-3843-9708-c1e8923503c9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3", "n4", "n5", "n6", "n7", "n8", "n9" ], "condition": null, "course": null, "evidence": "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": [], "condition": null, "course": { "course_number": 200, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "COMP SCI 200", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 220, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "220", "id": "n2", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "300", "id": "n3", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 320, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "320", "id": "n4", "kind": "course" }, { "children": [], "condition": "301", "course": null, "evidence": "301", "id": "n5", "kind": "condition" }, { "children": [], "condition": "302", "course": null, "evidence": "302", "id": "n6", "kind": "condition" }, { "children": [], "condition": "placement intoCOMP SCI 300", "course": null, "evidence": "placement intoCOMP SCI 300", "id": "n7", "kind": "condition" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n8", "kind": "condition" }, { "children": [], "condition": "member of Engineering Guest Students", "course": null, "evidence": "member of Engineering Guest Students", "id": "n9", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### 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" }, { "instructor_uid": "instructor_99e169e78510227a8237cc55", "source": "madgrades", "source_instructor_id": "5215124", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NICHOLAS OLSEN", "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": 3.908, "graded": 103, "counts": [ 89, 10, 3, 1, 0, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/NICHOLAS_OLSEN" }, { "instructor_uid": "instructor_9b91db60ad0db0e47f46edef", "source": "madgrades", "source_instructor_id": "5678578", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LIJING YANG", "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": 3.702, "graded": 163, "counts": [ 106, 34, 15, 3, 3, 2, 0 ], "sections": 13 }, "instructor_url": "/instructors/LIJING_YANG--instructor_9b91db60ad0db0e47f46edef" }, { "instructor_uid": "instructor_19ecd6e5672e548c8a33329a", "source": "madgrades", "source_instructor_id": "5910385", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RUOCHUN 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": 3.938, "graded": 40, "counts": [ 35, 5, 0, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/RUOCHUN_ZHANG--instructor_19ecd6e5672e548c8a33329a" }, { "instructor_uid": "instructor_f275cc0d0bcf83d0a415d027", "source": "madgrades", "source_instructor_id": "6248478", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HUZAIFA MUSTAFA UNJHAWALA", "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": 3.907, "graded": 204, "counts": [ 175, 22, 6, 0, 1, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/HUZAIFA_MUSTAFA_UNJHAWALA--instructor_f275cc0d0bcf83d0a415d027" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ME 459", "course_uid": "course_16dd91dc41baac6af9c4c95b", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Dan Negrut", "NICHOLAS OLSEN" ], "a": 31, "ab": 1, "b": 2, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 36, "source_aliases": [ "ME 459" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ME 459", "course_uid": "course_16dd91dc41baac6af9c4c95b", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Dan Negrut", "NICHOLAS OLSEN" ], "a": 20, "ab": 2, "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": 22, "source_aliases": [ "ME 459" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ME 459", "course_uid": "course_16dd91dc41baac6af9c4c95b", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Dan Negrut", "LIJING YANG" ], "a": 31, "ab": 5, "b": 2, "bc": 1, "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": 40, "source_aliases": [ "ME 459" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ME 459", "course_uid": "course_16dd91dc41baac6af9c4c95b", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Dan Negrut" ], "a": 24, "ab": 9, "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": 33, "source_aliases": [ "ME 459" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ME 459", "course_uid": "course_16dd91dc41baac6af9c4c95b", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Dan Negrut", "HUZAIFA MUSTAFA UNJHAWALA", "RUOCHUN ZHANG" ], "a": 47, "ab": 8, "b": 1, "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": 56, "source_aliases": [ "ME 459" ] } ] ``` ### statistics #### gpa 3.876 #### graded 186 #### counts * 153 * 25 * 5 * 1 * 2 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_16dd91dc41baac6af9c4c95b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_16dd91dc41baac6af9c4c95b-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_16dd91dc41baac6af9c4c95b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_16dd91dc41baac6af9c4c95b-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_16dd91dc41baac6af9c4c95b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_16dd91dc41baac6af9c4c95b-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_16dd91dc41baac6af9c4c95b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_16dd91dc41baac6af9c4c95b-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.8763440860215055 #### count 186 #### university ##### size 2910 ##### gpa Percentile 73 ##### count Percentile 71 ##### median Count 97 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 255 | false | | 3.2–3.6 | 813 | false | | 3.6–4.0 | 1827 | true | #### departments ```json [ { "subject": "ME", "comparison": { "size": 53, "gpaPercentile": 90, "countPercentile": 63, "medianCount": 119, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 22, "current": false }, { "range": "3.6–4.0", "count": 26, "current": true } ] } } ] ``` ### terms #### 1192 ##### term 1192 ##### gpa 3.8714285714285714 ##### count 35 ##### university ###### size 1077 ###### gpa Percentile 84 ###### count Percentile 9 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | true | ##### departments ```json [ { "subject": "ME", "comparison": { "size": 25, "gpaPercentile": 96, "countPercentile": 21, "medianCount": 77, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.9545454545454546 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | ME | | #### 1212 ##### term 1212 ##### gpa 3.8 ##### count 40 ##### university ###### size 1111 ###### gpa Percentile 69 ###### count Percentile 19 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "ME", "comparison": { "size": 23, "gpaPercentile": 73, "countPercentile": 9, "medianCount": 95, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.8636363636363638 ##### count 33 ##### university ###### size 1157 ###### gpa Percentile 80 ###### count Percentile 8 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "ME", "comparison": { "size": 28, "gpaPercentile": 85, "countPercentile": 11, "medianCount": 71.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.9107142857142856 ##### count 56 ##### university ###### size 1188 ###### gpa Percentile 82 ###### count Percentile 41 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "ME", "comparison": { "size": 26, "gpaPercentile": 92, "countPercentile": 24, "medianCount": 107.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 2910 ###### gpa 3.6468034766012556 ###### top Share 81.18393303242557 ###### count 97 ##### ME ###### size 53 ###### gpa 3.582152196408035 ###### top Share 76.48788985205286 ###### count 119 #### terms ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### ME ###### size 25 ###### gpa 3.466695235970762 ###### top Share 68.51106643821986 ###### count 77 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### ME ###### size 21 ###### gpa 3.4785985760675224 ###### top Share 69.95456644574271 ###### count 96 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### ME ###### size 23 ###### gpa 3.538085451005178 ###### top Share 75.05280872206067 ###### count 95 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### ME ###### size 28 ###### gpa 3.5317658980245055 ###### top Share 73.85244504654484 ###### count 71.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### ME ###### size 26 ###### gpa 3.5441004803192864 ###### top Share 74.40600351589543 ###### count 107.5 ## instructor Trends ```json [ { "uid": "instructor_2a89e605adc37d459f748897", "name": "DAN NEGRUT", "count": 186, "terms": [ { "term": "1192", "count": 35, "sections": 2, "gpa": 3.8714285714285714 }, { "term": "1202", "count": 22, "sections": 2, "gpa": 3.9545454545454546 }, { "term": "1212", "count": 40, "sections": 2, "gpa": 3.8 }, { "term": "1222", "count": 33, "sections": 2, "gpa": 3.8636363636363638 }, { "term": "1234", "count": 56, "sections": 2, "gpa": 3.9107142857142856 } ] }, { "uid": "instructor_19ecd6e5672e548c8a33329a", "name": "RUOCHUN ZHANG", "count": 40, "terms": [ { "term": "1234", "count": 40, "sections": 1, "gpa": 3.9375 } ] }, { "uid": "instructor_f275cc0d0bcf83d0a415d027", "name": "HUZAIFA MUSTAFA UNJHAWALA", "count": 40, "terms": [ { "term": "1234", "count": 40, "sections": 1, "gpa": 3.9375 } ] }, { "uid": "instructor_99e169e78510227a8237cc55", "name": "NICHOLAS OLSEN", "count": 34, "terms": [ { "term": "1192", "count": 18, "sections": 1, "gpa": 3.9166666666666665 }, { "term": "1202", "count": 16, "sections": 1, "gpa": 3.96875 } ] }, { "uid": "instructor_9b91db60ad0db0e47f46edef", "name": "LIJING YANG", "count": 31, "terms": [ { "term": "1212", "count": 31, "sections": 1, "gpa": 3.7903225806451615 } ] } ] ``` ## following | code | title | | ------ | ------------------------------------------------------------------ | | ME 468 | COMPUTER MODELING AND SIMULATION OF AUTONOMOUS VEHICLES AND ROBOTS |