# Easiest courses in Computer Sciences | UW–Madison [View on UW Courses](https://uwcourses.com/departments/COMPSCI/easiest) ## 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 | ## subject COMPSCI ## collection easiest ## results ### items ```json [ { "course_uid": "course_779b02f7ffacb19d0c9fbcb6", "course_id": "COMPSCI 900", "title": "ADVANCED SEMINAR IN COMPUTER SCIENCE", "credits_min": 0, "credits_max": 1, "gpa": 3.989, "badges": [ { "id": "grade-outcomes", "label": "Higher grades", "tone": "positive", "evidence": "Spring 2026 · latest released grades before Fall 2026: 4.00 GPA across 48 letter grades, versus 3.50 for Computer Sciences (48 courses). Requires a difference of at least 0.20 and 30 letter grades. Historical outcomes, not predicted difficulty.", "sources": [ { "label": "Grade history and sources", "href": "/courses/COMPSCI_900#grades" } ] } ], "description": "COMPSCI 900 is an advanced seminar covering recent research across various aspects of computer science.", "discovery": { "term": "1272", "offered": true, "history": { "counts": [ 494, 0, 0, 0, 0, 0, 2 ], "count": 496, "gpa": 3.9838709677419355, "topShare": 99.59677419354838, "firstTerm": "1224", "lastTerm": "1264" }, "instructors": [ { "course_uid": "course_779b02f7ffacb19d0c9fbcb6", "uid": "instructor_62fbf397fa1d95229b4a582b", "name": "Andrea Arpaci-Dusseau", "quality": 3.762233808210058, "quality_count": 13, "instructor_url": "/instructors/ANDREA_ARPACI-DUSSEAU" }, { "course_uid": "course_779b02f7ffacb19d0c9fbcb6", "uid": "instructor_e0b82f2d934a901e74320b01", "name": "Rahul Chatterjee", "quality": 3.439790522364397, "quality_count": 10, "instructor_url": "/instructors/RAHUL_CHATTERJEE" }, { "course_uid": "course_779b02f7ffacb19d0c9fbcb6", "uid": "instructor_570635b99c1c1cbcfe9e05e1", "name": "Swamit Tannu", "quality": 3.0298346229192608, "quality_count": 18, "instructor_url": "/instructors/SWAMIT_TANNU" } ], "instructorHistory": null, "courseComparison": null, "claim": null, "reviewFiles": [] } }, { "course_uid": "course_97ee8b016eb845f04b422df7", "course_id": "BMI/COMPSCI 771", "title": "LEARNING BASED METHODS FOR COMPUTER VISION", "credits_min": 3, "credits_max": 3, "gpa": 3.951, "badges": [ { "id": "grade-outcomes", "label": "Higher grades", "tone": "positive", "evidence": "Fall 2025 · latest released grades before Fall 2026: 3.99 GPA across 51 letter grades, versus 3.53 for Computer Sciences (53 courses). Requires a difference of at least 0.20 and 30 letter grades. Historical outcomes, not predicted difficulty.", "sources": [ { "label": "Grade history and sources", "href": "/courses/BMI_COMPSCI_771#grades" } ] }, { "id": "lecture-size", "label": "Small lectures", "tone": "neutral", "evidence": "Fall 2026: median 27.5 enrolled students across 2 recorded lecture sections. Small means 30 or fewer; large means 100 or more. Enrollment at scan time, not capacity or typical historical attendance.", "sources": [ { "label": "Sections and enrollment", "href": "/courses/BMI_COMPSCI_771#schedule" } ] } ], "description": "Covers deep learning for computer vision tasks like image classification, object detection, and medical image analysis.", "discovery": { "term": "1272", "offered": true, "history": { "counts": [ 159, 15, 1, 0, 0, 0, 0 ], "count": 175, "gpa": 3.9514285714285715, "topShare": 99.42857142857143, "firstTerm": "1232", "lastTerm": "1262" }, "instructors": [ { "course_uid": "course_97ee8b016eb845f04b422df7", "uid": "instructor_1c875be71e39de81fc8f6631", "name": "Yin Li", "quality": null, "quality_count": null, "instructor_url": "/instructors/YIN_LI" } ], "instructorHistory": null, "courseComparison": null, "claim": null, "reviewFiles": [] } }, { "course_uid": "course_63e805b33518ff3fd8dc0a39", "course_id": "COMPSCI/ECE/EMA/EP/ME 759", "title": "HIGH PERFORMANCE COMPUTING FOR APPLICATIONS IN ENGINEERING", "credits_min": 3, "credits_max": 3, "gpa": 3.93, "badges": [ { "id": "grade-outcomes", "label": "Higher grades", "tone": "positive", "evidence": "Spring 2026 · latest released grades before Fall 2026: 3.97 GPA across 102 letter grades, versus 3.50 for Computer Sciences (48 courses). Requires a difference of at least 0.20 and 30 letter grades. Historical outcomes, not predicted difficulty.", "sources": [ { "label": "Grade history and sources", "href": "/courses/COMPSCI_ECE_EMA_EP_ME_759#grades" } ] }, { "id": "lecture-size", "label": "Small lectures", "tone": "neutral", "evidence": "Fall 2026: median 5 enrolled students across 5 recorded lecture sections. Small means 30 or fewer; large means 100 or more. Enrollment at scan time, not capacity or typical historical attendance.", "sources": [ { "label": "Sections and enrollment", "href": "/courses/COMPSCI_ECE_EMA_EP_ME_759#schedule" } ] } ], "description": "Covers hardware and software solutions for advanced computing in engineering, with hands-on parallel programming assignments.", "discovery": { "term": "1272", "offered": true, "history": { "counts": [ 499, 40, 9, 2, 0, 0, 0 ], "count": 550, "gpa": 3.941818181818182, "topShare": 98, "firstTerm": "1232", "lastTerm": "1264" }, "instructors": [ { "course_uid": "course_63e805b33518ff3fd8dc0a39", "uid": "instructor_6b538cd1085236661960506e", "name": "Tsung-Wei Huang", "quality": null, "quality_count": null, "instructor_url": "/instructors/TSUNG-WEI_HUANG" } ], "instructorHistory": null, "courseComparison": null, "claim": { "citations": [ { "instructor_name": "Dan Negrut", "review_date": "2018-01-23 11:31:56 +0000 UTC", "review_id": "9e4da8adb27e73b85824e275", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:812301", "source_review_id": "UmF0aW5nLTI5NDkxOTU4", "source_url": "https://www.ratemyprofessors.com/professor/812301", "type": "review" }, { "instructor_name": "Dan Negrut", "review_date": "2021-05-20 21:08:39 +0000 UTC", "review_id": "21b1eb9bccf4291655ebd781", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:812301", "source_review_id": "UmF0aW5nLTM0ODM0MDA2", "source_url": "https://www.ratemyprofessors.com/professor/812301", "type": "review" } ], "text": "Historical reviews of Dan Negrut: Reviewers note the class involves significant work, particularly weekly programming assignments, but consider them doable with effort." }, "reviewFiles": [ "/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_63e805b33518ff3fd8dc0a39-0.json" ] } }, { "course_uid": "course_9d6a2127ca0ecacfc4832696", "course_id": "COMPSCI 699", "title": "DIRECTED STUDY", "credits_min": 1, "credits_max": 6, "gpa": 3.947, "badges": [ { "id": "rated-teacher", "label": "Highly rated instructor", "tone": "positive", "evidence": "Fall 2026: Shivaram Venkataraman (4.53/5 adjusted; 45 ratings); Fred Sala (4.31/5 adjusted; 32 ratings); Dan Negrut (4.12/5 adjusted; 16 ratings). At least one assigned instructor qualifies. This describes instructor reviews across courses, not a course rating.", "sources": [ { "label": "Shivaram Venkataraman", "href": "/instructors/SHIVARAM_VENKATARAMAN" }, { "label": "Fred Sala", "href": "/instructors/FRED_SALA" }, { "label": "Dan Negrut", "href": "/instructors/DAN_NEGRUT" } ] } ], "description": "COMPSCI 699 offers directed study projects for junior and senior students arranged with a faculty member.", "discovery": { "term": "1272", "offered": true, "history": { "counts": [ 136, 4, 4, 2, 0, 0, 0 ], "count": 146, "gpa": 3.9383561643835616, "topShare": 95.8904109589041, "firstTerm": "1224", "lastTerm": "1264" }, "instructors": [ { "course_uid": "course_9d6a2127ca0ecacfc4832696", "uid": "instructor_8bef2ed1a9e069c7181ff8b7", "name": "Shivaram Venkataraman", "quality": 4.525287933398952, "quality_count": 45, "instructor_url": "/instructors/SHIVARAM_VENKATARAMAN" }, { "course_uid": "course_9d6a2127ca0ecacfc4832696", "uid": "instructor_c015792b29d463dd3b20bfda", "name": "Fred 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