# COMPSCI 744: Big Data Systems | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_744) ## 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 21c269ca6f1be88981f4fe6a353253be3165722b2e4435d0b21cea055beb5be9 ### course id COMPSCI 744 ### course uid course\_8c0399ef1c8361bc30a76c02 ### catalog version id 7ed275cddbe4dcd265bbbfee21ab946762eb62be6a2aec0459b2877d7751edfd ### course number 744 ### subjects * COMPSCI ### title BIG DATA SYSTEMS ### description Issues in the design and implementation of big data processing systems, including: an overview of cluster architecture, key design goals (flexibility, performance and fault tolerance), popular execution frameworks, basic abstractions, and applications (e.g., batch analytics, stream processing, graph processing, and machine learning). ### requirements text Graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 520da3dd56f7b5853e33e5e8fb1b420e6c6ed700dc80d18549b0369f4f39d05b ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary COMPSCI 744 covers the design and implementation of big data processing systems, including cluster architecture, execution frameworks, and applications like batch analytics and machine learning. ### llm topics * Cluster architecture * Design goals: flexibility, performance, and fault tolerance * Popular execution frameworks * Basic abstractions in big data systems * Applications: batch analytics, stream processing, graph processing, and machine learning ### llm skills * Design and implementation of big data processing systems * Understanding cluster architecture * Applying design goals like flexibility, performance, and fault tolerance * Using popular execution frameworks and basic abstractions * Applying big data systems to analytics, streaming, graph processing, and ML ### llm assumed background None recorded. ### llm search phrases * big data processing systems * cluster architecture design * fault tolerance frameworks * batch analytics stream processing * graph processing machine learning ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 1529513d61681bc4d5aed60c8924752d396f823dd44a6d99d5261b49f6118315 #### course id COMPSCI 744 #### current instructors None recorded. #### difficulty workload Historical reviews of Shivaram Venkataraman: The course is heavy, requiring two 15-20 page paper readings per week alongside projects, assignments, and exams, making it appropriate for graduate students but potentially difficult for undergraduates. ```json { "citations": [ { "instructor_name": "Shivaram Venkataraman", "review_date": "2023-02-04 08:26:42 +0000 UTC", "review_id": "a15fae0a0d14a51cd0bbc2cc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423043", "source_review_id": "UmF0aW5nLTM3NDA2ODQ3", "source_url": "https://www.ratemyprofessors.com/professor/2423043", "type": "review" }, { "instructor_name": "Shivaram Venkataraman", "review_date": "2024-05-21 20:54:14 +0000 UTC", "review_id": "7e008c2764bab16b1a4d6a40", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423043", "source_review_id": "UmF0aW5nLTM5NTAzODQ2", "source_url": "https://www.ratemyprofessors.com/professor/2423043", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Shivaram Venkataraman: Shivaram Venkataraman is consistently praised for his clarity, engaging lectures, and inclusive atmosphere. Reviewers highlight his ability to extract core concepts from papers and structure the course phenomenally. He is described as smart, down-to-earth, and one of the best CS professors. ```json { "citations": [ { "instructor_name": "Shivaram Venkataraman", "review_date": "2019-11-05 05:23:45 +0000 UTC", "review_id": "c87d904a3cc77e6490ee07dc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423043", "source_review_id": "UmF0aW5nLTMyMzU4OTMy", "source_url": "https://www.ratemyprofessors.com/professor/2423043", "type": "review" }, { "instructor_name": "Shivaram Venkataraman", "review_date": "2021-12-29 22:04:03 +0000 UTC", "review_id": "c2662e12c29f42e97da867af", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423043", "source_review_id": "UmF0aW5nLTM1Njc0MTU1", "source_url": "https://www.ratemyprofessors.com/professor/2423043", "type": "review" }, { "instructor_name": "Shivaram Venkataraman", "review_date": "2023-02-04 08:26:42 +0000 UTC", "review_id": "a15fae0a0d14a51cd0bbc2cc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423043", "source_review_id": "UmF0aW5nLTM3NDA2ODQ3", "source_url": "https://www.ratemyprofessors.com/professor/2423043", "type": "review" }, { "instructor_name": "Shivaram Venkataraman", "review_date": "2024-05-21 20:54:14 +0000 UTC", "review_id": "7e008c2764bab16b1a4d6a40", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423043", "source_review_id": "UmF0aW5nLTM5NTAzODQ2", "source_url": "https://www.ratemyprofessors.com/professor/2423043", "type": "review" }, { "instructor_name": "Shivaram Venkataraman", "review_date": "2025-02-15 05:25:36 +0000 UTC", "review_id": "8ca6ddf8e3ce24e53bdcc42f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423043", "source_review_id": "UmF0aW5nLTQwNjc0NTkx", "source_url": "https://www.ratemyprofessors.com/professor/2423043", "type": "review" } ] } ``` #### offered false #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews of Shivaram Venkataraman: Shivaram Venkataraman is highly recommended for his smart, clear, and engaging lectures, with students finding the course structure phenomenal and the open-ended exams fun. ```json { "citations": [ { "instructor_name": "Shivaram Venkataraman", "review_date": "2019-11-05 05:23:45 +0000 UTC", "review_id": "c87d904a3cc77e6490ee07dc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423043", "source_review_id": "UmF0aW5nLTMyMzU4OTMy", "source_url": "https://www.ratemyprofessors.com/professor/2423043", "type": "review" }, { "instructor_name": "Shivaram Venkataraman", "review_date": "2021-12-29 22:04:03 +0000 UTC", "review_id": "c2662e12c29f42e97da867af", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423043", "source_review_id": "UmF0aW5nLTM1Njc0MTU1", "source_url": "https://www.ratemyprofessors.com/professor/2423043", "type": "review" }, { "instructor_name": "Shivaram Venkataraman", "review_date": "2023-02-04 08:26:42 +0000 UTC", "review_id": "a15fae0a0d14a51cd0bbc2cc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423043", "source_review_id": "UmF0aW5nLTM3NDA2ODQ3", "source_url": "https://www.ratemyprofessors.com/professor/2423043", "type": "review" } ] } ``` Recent recorded grades — Fall 2022: 3.96 GPA, 98.8% A/AB (n=85 letter grades); Spring 2024: 3.85 GPA, 90.0% A/AB (n=90 letter grades); Spring 2025: 3.80 GPA, 91.5% A/AB (n=71 letter grades). ```json { "citations": [ { "course_id": "COMPSCI 744", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "54750cd9-011d-3d37-988d-27f7ef1152cb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI 744", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "54750cd9-011d-3d37-988d-27f7ef1152cb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 744", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "54750cd9-011d-3d37-988d-27f7ef1152cb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" } ] } ``` #### student experience Historical reviews of Shivaram Venkataraman: Students appreciate the inclusive atmosphere and the professor's ability to extract core concepts from papers, though the weekly reading load is noted as substantial. ```json { "citations": [ { "instructor_name": "Shivaram Venkataraman", "review_date": "2024-05-21 20:54:14 +0000 UTC", "review_id": "7e008c2764bab16b1a4d6a40", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423043", "source_review_id": "UmF0aW5nLTM5NTAzODQ2", "source_url": "https://www.ratemyprofessors.com/professor/2423043", "type": "review" }, { "instructor_name": "Shivaram Venkataraman", "review_date": "2025-02-15 05:25:36 +0000 UTC", "review_id": "8ca6ddf8e3ce24e53bdcc42f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423043", "source_review_id": "UmF0aW5nLTQwNjc0NTkx", "source_url": "https://www.ratemyprofessors.com/professor/2423043", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history SHIVARAM VENKATARAMAN is recorded teaching in Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Spring 2024, Spring 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 744", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "54750cd9-011d-3d37-988d-27f7ef1152cb", "source_record": { "entity_id": "54750cd9-011d-3d37-988d-27f7ef1152cb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "COMPSCI 744", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "54750cd9-011d-3d37-988d-27f7ef1152cb", "source_record": { "entity_id": "54750cd9-011d-3d37-988d-27f7ef1152cb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "COMPSCI 744", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "54750cd9-011d-3d37-988d-27f7ef1152cb", "source_record": { "entity_id": "54750cd9-011d-3d37-988d-27f7ef1152cb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "COMPSCI 744", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "54750cd9-011d-3d37-988d-27f7ef1152cb", "source_record": { "entity_id": "54750cd9-011d-3d37-988d-27f7ef1152cb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "COMPSCI 744", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "54750cd9-011d-3d37-988d-27f7ef1152cb", "source_record": { "entity_id": "54750cd9-011d-3d37-988d-27f7ef1152cb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI 744", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "54750cd9-011d-3d37-988d-27f7ef1152cb", "source_record": { "entity_id": "54750cd9-011d-3d37-988d-27f7ef1152cb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 744", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "54750cd9-011d-3d37-988d-27f7ef1152cb", "source_record": { "entity_id": "54750cd9-011d-3d37-988d-27f7ef1152cb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_bd2b7a70508c1f2de5b24c02", "source": "madgrades", "source_instructor_id": "4196073", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SRINIVASA AKELLA", "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": 3.621, "graded": 1108, "counts": [ 631, 264, 126, 52, 25, 6, 4 ], "sections": 102 }, "instructor_url": "/instructors/SRINIVASA_AKELLA--instructor_bd2b7a70508c1f2de5b24c02" }, { "instructor_uid": "instructor_5a65b21294bb76ebdb310fb7", "source": "madgrades", "source_instructor_id": "4141250", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHIVARAM VENKATARAMAN", "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": 45, "quality": 4.91, "difficulty": 3.96, "quality_count": 45, "difficulty_count": 45, "profile_id": "rmp:2423043", "source_url": "https://www.ratemyprofessors.com/professor/2423043", "match_basis": "exact_name", "observed_at": "2026-09-07 16:05:45.212143+00:00", "courses": { "course_79e5479d9eb1286e8642b399": { "review_count": 39, "quality": 4.9, "difficulty": 3.92, "quality_count": 39, "difficulty_count": 39 }, "course_8c0399ef1c8361bc30a76c02": { "review_count": 5, "quality": 5, "difficulty": 4, "quality_count": 5, "difficulty_count": 5 }, "course_de12e29109d0c90ee086fcec": { "review_count": 1, "quality": 5, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 4.525287933398952, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.586, "graded": 1403, "counts": [ 792, 304, 179, 70, 36, 15, 7 ], "sections": 67 }, "instructor_url": "/instructors/SHIVARAM_VENKATARAMAN--instructor_5a65b21294bb76ebdb310fb7" }, { "instructor_uid": "instructor_176fc6781a15307b057ab779", "source": "madgrades", "source_instructor_id": "5507461", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YIEN XU", "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": 3.632, "graded": 321, "counts": [ 180, 76, 52, 6, 3, 3, 1 ], "sections": 2 }, "instructor_url": "/instructors/YIEN_XU" }, { "instructor_uid": "instructor_8a96b2f7588b69d3fae2c6dc", "source": "madgrades", "source_instructor_id": "5217287", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ROGER WALEFFE", "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": 3.959, "graded": 85, "counts": [ 79, 5, 1, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/ROGER_WALEFFE--instructor_8a96b2f7588b69d3fae2c6dc" }, { "instructor_uid": "instructor_5434439f93f7a25d52ab8d85", "source": "madgrades", "source_instructor_id": "6453482", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TZU-TAO CHANG", "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": 3.85, "graded": 90, "counts": [ 73, 8, 8, 1, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/TZU-TAO_CHANG--instructor_5434439f93f7a25d52ab8d85" }, { "instructor_uid": "instructor_57e41595174b77793e32092c", "source": "madgrades", "source_instructor_id": "6556439", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MD. TAREQ MAHMOOD", "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": 3.567, "graded": 704, "counts": [ 387, 143, 114, 40, 8, 5, 7 ], "sections": 4 }, "instructor_url": "/instructors/MD_TAREQ_MAHMOOD--instructor_57e41595174b77793e32092c" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 744", "course_uid": "course_8c0399ef1c8361bc30a76c02", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "SRINIVASA AKELLA" ], "a": 87, "ab": 5, "b": 4, "bc": 1, "c": 1, "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": 100, "source_aliases": [ "COMPSCI 744" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 744", "course_uid": "course_8c0399ef1c8361bc30a76c02", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Shivaram Venkataraman" ], "a": 36, "ab": 5, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 42, "source_aliases": [ "COMPSCI 744" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 744", "course_uid": "course_8c0399ef1c8361bc30a76c02", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "SRINIVASA AKELLA" ], "a": 51, "ab": 4, "b": 2, "bc": 0, "c": 0, "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": 58, "source_aliases": [ "COMPSCI 744" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 744", "course_uid": "course_8c0399ef1c8361bc30a76c02", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Shivaram Venkataraman" ], "a": 44, "ab": 9, "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": 54, "source_aliases": [ "COMPSCI 744" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 744", "course_uid": "course_8c0399ef1c8361bc30a76c02", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Shivaram Venkataraman" ], "a": 71, "ab": 4, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 78, "source_aliases": [ "COMPSCI 744" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 744", "course_uid": "course_8c0399ef1c8361bc30a76c02", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Shivaram Venkataraman", "YIEN XU" ], "a": 67, "ab": 3, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 71, "source_aliases": [ "COMPSCI 744" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 744", "course_uid": "course_8c0399ef1c8361bc30a76c02", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "ROGER WALEFFE", "Shivaram Venkataraman" ], "a": 79, "ab": 5, "b": 1, "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": 87, "source_aliases": [ "COMPSCI 744" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 744", "course_uid": "course_8c0399ef1c8361bc30a76c02", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Shivaram Venkataraman", "TZU-TAO CHANG" ], "a": 73, "ab": 8, "b": 8, "bc": 1, "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": 90, "source_aliases": [ "COMPSCI 744" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 744", "course_uid": "course_8c0399ef1c8361bc30a76c02", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "MD. TAREQ MAHMOOD", "Shivaram Venkataraman" ], "a": 50, "ab": 15, "b": 4, "bc": 2, "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": 71, "source_aliases": [ "COMPSCI 744" ] } ] ``` ### statistics #### gpa 3.911 #### graded 641 #### counts * 558 * 58 * 20 * 4 * 1 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_8c0399ef1c8361bc30a76c02-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_8c0399ef1c8361bc30a76c02-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_8c0399ef1c8361bc30a76c02-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_8c0399ef1c8361bc30a76c02-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_8c0399ef1c8361bc30a76c02-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_8c0399ef1c8361bc30a76c02-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_8c0399ef1c8361bc30a76c02-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_8c0399ef1c8361bc30a76c02-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.9110764430577225 #### count 641 #### university ##### size 3996 ##### gpa Percentile 78 ##### count Percentile 89 ##### median Count 115 ##### 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 | 10 | false | | 2.8–3.2 | 292 | false | | 3.2–3.6 | 1100 | false | | 3.6–4.0 | 2593 | true | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 101, "gpaPercentile": 89, "countPercentile": 73, "medianCount": 209, "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": 17, "current": false }, { "range": "3.2–3.6", "count": 30, "current": false }, { "range": "3.6–4.0", "count": 54, "current": true } ] } } ] ``` ### terms #### 1182 ##### term 1182 ##### gpa 3.8979591836734695 ##### count 98 ##### university ###### size 1025 ###### gpa Percentile 88 ###### count Percentile 67 ###### median Count 69 ###### 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 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 36, "gpaPercentile": 91, "countPercentile": 57, "medianCount": 90.5, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.9390243902439024 ##### count 41 ##### university ###### size 1077 ###### gpa Percentile 90 ###### count Percentile 22 ###### 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": "COMPSCI", "comparison": { "size": 38, "gpaPercentile": 92, "countPercentile": 5, "medianCount": 95.5, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.9298245614035086 ##### count 57 ##### university ###### size 1040 ###### gpa Percentile 89 ###### count Percentile 41 ###### 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 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 38, "gpaPercentile": 95, "countPercentile": 22, "medianCount": 92, "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": 15, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.8981481481481484 ##### count 54 ##### university ###### size 1102 ###### gpa Percentile 87 ###### count Percentile 38 ###### 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 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 41, "gpaPercentile": 93, "countPercentile": 25, "medianCount": 91, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 15, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.973333333333333 ##### count 75 ##### university ###### size 1111 ###### gpa Percentile 93 ###### count Percentile 53 ###### 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": "COMPSCI", "comparison": { "size": 42, "gpaPercentile": 93, "countPercentile": 27, "medianCount": 96, "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": 12, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.9785714285714286 ##### count 70 ##### university ###### size 1157 ###### gpa Percentile 94 ###### count Percentile 52 ###### 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": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 98, "countPercentile": 33, "medianCount": 94.5, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 23, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.958823529411765 ##### count 85 ##### university ###### size 1216 ###### gpa Percentile 90 ###### count Percentile 59 ###### median Count 66 ###### 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 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 50, "gpaPercentile": 96, "countPercentile": 51, "medianCount": 82.5, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 19, "current": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.85 ##### count 90 ##### university ###### size 1241 ###### gpa Percentile 75 ###### count Percentile 64 ###### 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 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 82, "countPercentile": 33, "medianCount": 116, "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": 11, "current": false }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 18, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.795774647887324 ##### count 71 ##### university ###### size 1289 ###### gpa Percentile 65 ###### count Percentile 53 ###### median Count 66 ###### 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 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 52, "gpaPercentile": 80, "countPercentile": 35, "medianCount": 105, "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": 10, "current": false }, { "range": "3.2–3.6", "count": 24, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 3996 ###### gpa 3.665647142436625 ###### top Share 82.32245224860158 ###### count 115 ##### COMPSCI ###### size 101 ###### gpa 3.5731622667729765 ###### top Share 77.11040524858136 ###### count 209 #### terms ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### COMPSCI ###### size 36 ###### gpa 3.352907303323745 ###### top Share 63.88103454195665 ###### count 90.5 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### COMPSCI ###### size 38 ###### gpa 3.3453717241366854 ###### top Share 64.2917310505246 ###### count 95.5 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### COMPSCI ###### size 38 ###### gpa 3.3433846242383978 ###### top Share 63.409438479169644 ###### count 92 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### COMPSCI ###### size 41 ###### gpa 3.3598624373657553 ###### top Share 65.26544910639922 ###### count 91 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### COMPSCI ###### size 42 ###### gpa 3.450396020252364 ###### top Share 69.90950224603134 ###### count 96 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### COMPSCI ###### size 46 ###### gpa 3.4266761668874532 ###### top Share 68.93117403010548 ###### count 94.5 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### COMPSCI ###### size 50 ###### gpa 3.522872390836507 ###### top Share 74.11555010870671 ###### count 82.5 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### COMPSCI ###### size 46 ###### gpa 3.477413782571094 ###### top Share 70.8725394264854 ###### count 116 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### COMPSCI ###### size 52 ###### gpa 3.482652727664103 ###### top Share 71.33786483648515 ###### count 105 ## instructor Trends ```json [ { "uid": "instructor_5a65b21294bb76ebdb310fb7", "name": "SHIVARAM VENKATARAMAN", "count": 486, "terms": [ { "term": "1192", "count": 41, "sections": 1, "gpa": 3.9390243902439024 }, { "term": "1202", "count": 54, "sections": 1, "gpa": 3.8981481481481484 }, { "term": "1212", "count": 75, "sections": 1, "gpa": 3.973333333333333 }, { "term": "1222", "count": 70, "sections": 1, "gpa": 3.9785714285714286 }, { "term": "1232", "count": 85, "sections": 1, "gpa": 3.958823529411765 }, { "term": "1244", "count": 90, "sections": 1, "gpa": 3.85 }, { "term": "1254", "count": 71, "sections": 1, "gpa": 3.795774647887324 } ] }, { "uid": "instructor_bd2b7a70508c1f2de5b24c02", "name": "SRINIVASA AKELLA", "count": 155, "terms": [ { "term": "1182", "count": 98, "sections": 1, "gpa": 3.8979591836734695 }, { "term": "1194", "count": 57, "sections": 1, "gpa": 3.9298245614035086 } ] }, { "uid": "instructor_5434439f93f7a25d52ab8d85", "name": "TZU-TAO CHANG", "count": 90, "terms": [ { "term": "1244", "count": 90, "sections": 1, "gpa": 3.85 } ] }, { "uid": "instructor_8a96b2f7588b69d3fae2c6dc", "name": "ROGER WALEFFE", "count": 85, "terms": [ { "term": "1232", "count": 85, "sections": 1, "gpa": 3.958823529411765 } ] }, { "uid": "instructor_57e41595174b77793e32092c", "name": "MD. TAREQ MAHMOOD", "count": 71, "terms": [ { "term": "1254", "count": 71, "sections": 1, "gpa": 3.795774647887324 } ] }, { "uid": "instructor_176fc6781a15307b057ab779", "name": "YIEN XU", "count": 70, "terms": [ { "term": "1222", "count": 70, "sections": 1, "gpa": 3.9785714285714286 } ] } ] ``` ## following | code | title | | ----------- | ------------------- | | COMPSCI 739 | DISTRIBUTED SYSTEMS | ## projection ### target 1272 ### gpa 3.9028084572104116 ### grades | grade | percentage | | ----- | ------------------ | | A | 85.84004838058921 | | AB | 9.78456502625943 | | B | 3.472416247795734 | | BC | 0.9029703453556513 | | C | 0 | | D | 0 | | F | 0 | ### source Terms * 1254 * 1244 * 1232 * 1222 ### source Count 316 ### same Season false ### historical Range * 3.7957746478873235 * 3.9785714285714286