# COMPSCI/ECE 766: Computer Vision | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_ECE_766) ## 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 5ca9ae91f2ba206e30a662e2cfaaeaebe1adf330a6d4da7c9bd7186062fd3aa0 ### course id COMPSCI/ECE 766 ### course uid course\_454ae4ccf39aa0d54593f0ce ### catalog version id 7fdc89481ec2f6ae04708d990a3cc61e0c8cfcf0c42e76b0888cbbab46875621 ### course number 766 ### subjects * COMPSCI * ECE ### title COMPUTER VISION ### description Fundamentals of image analysis and computer vision; image acquisition and geometry; image enhancement; recovery of physical scene characteristics; shape-from techniques; segmentation and perceptual organization; representation and description of two-dimensional objects; shape analysis; texture analysis; goal-directed and model-based systems; parallel algorithms and special-purpose architectures. Students are strongly encouraged to have basic proficiency in calculus and linear algebra, such asMATH 340, and basic programming such asCOMP SCI 300. ### requirements text Graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id e1e90de8306a9b0de701466dcbc028448de36f0dd8e514dba0c6e2c10f885c8b ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers fundamentals of image analysis and computer vision, including image acquisition, geometry, enhancement, scene recovery, segmentation, shape analysis, and parallel algorithms. ### llm topics * Image acquisition, geometry, enhancement, scene recovery, shape-from, segmentation, perceptual organization, 2D object representation, shape analysis, texture analysis, model-based systems, parallel algorithms * Image analysis and computer vision fundamentals ### llm skills * Image analysis, computer vision, image acquisition, geometry, enhancement, scene recovery, shape-from, segmentation, perceptual organization, 2D object representation, shape analysis, texture analysis, model-based systems, parallel algorthm * Representation and description of 2D objects, shape analysis, and texture analysis ### llm assumed background * Basic proficiency in calculus and linear algebra (e.g., MATH 340) and basic programming (e.g., COMP SCI 300). * Linear algebra fundamentals including matrix algebra, vector spaces, eigenvalues, and linear transformations. * Object-oriented programming and data structures such as lists, stacks, and queues. ### llm search phrases * computer vision fundamentals * image analysis techniques * shape-from techniques * segmentation perceptual organization * MATH 340 linear algebra * COMP SCI 300 programming ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash a62fbe354b80ac6dc3c95839974409beae972035ff99cc703cf25043394b1a45 #### course id COMPSCI/ECE 766 #### current instructors None recorded. #### difficulty workload Historical reviews of Mohit Gupta: The workload includes seven challenging homework assignments, with the third and fourth identified as the most difficult. ```json { "citations": [ { "instructor_name": "Mohit Gupta", "review_date": "2019-05-07 19:05:10 +0000 UTC", "review_id": "942d6a8e0f46a63edff9bc58", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2140649", "source_review_id": "UmF0aW5nLTMxNzk5OTIz", "source_url": "https://www.ratemyprofessors.com/professor/2140649", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Mohit Gupta describe him as kind, patient, and caring about student success. He requires lecture attendance for printed slides not posted online. His assignments are challenging, particularly the third and fourth homeworks. ```json { "citations": [ { "instructor_name": "Mohit Gupta", "review_date": "2019-05-07 19:05:10 +0000 UTC", "review_id": "942d6a8e0f46a63edff9bc58", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2140649", "source_review_id": "UmF0aW5nLTMxNzk5OTIz", "source_url": "https://www.ratemyprofessors.com/professor/2140649", "type": "review" } ] } ``` #### offered false #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews of Mohit Gupta: Mohit Gupta is a kind and patient instructor who supports student success, though the course requires attendance for materials and prior Matlab knowledge. ```json { "citations": [ { "instructor_name": "Mohit Gupta", "review_date": "2019-05-07 19:05:10 +0000 UTC", "review_id": "942d6a8e0f46a63edff9bc58", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2140649", "source_review_id": "UmF0aW5nLTMxNzk5OTIz", "source_url": "https://www.ratemyprofessors.com/professor/2140649", "type": "review" } ] } ``` Recent recorded grades — Spring 2023: 3.84 GPA, 95.2% A/AB (n=62 letter grades); Spring 2024: 3.87 GPA, 91.5% A/AB (n=94 letter grades); Spring 2026: 3.84 GPA, 94.8% A/AB (n=58 letter grades). ```json { "citations": [ { "course_id": "COMPSCI/ECE 766", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3220910f-d6a4-3c8f-ab76-b6c380e506a9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI/ECE 766", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3220910f-d6a4-3c8f-ab76-b6c380e506a9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI/ECE 766", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3220910f-d6a4-3c8f-ab76-b6c380e506a9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Mohit Gupta: Students appreciate the open-ended semester project, but must attend lectures to obtain printed slides not available online. ```json { "citations": [ { "instructor_name": "Mohit Gupta", "review_date": "2019-05-07 19:05:10 +0000 UTC", "review_id": "942d6a8e0f46a63edff9bc58", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2140649", "source_review_id": "UmF0aW5nLTMxNzk5OTIz", "source_url": "https://www.ratemyprofessors.com/professor/2140649", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history MOHIT GUPTA is recorded teaching in Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2022, Spring 2023, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/ECE 766", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3220910f-d6a4-3c8f-ab76-b6c380e506a9", "source_record": { "entity_id": "3220910f-d6a4-3c8f-ab76-b6c380e506a9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "COMPSCI/ECE 766", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3220910f-d6a4-3c8f-ab76-b6c380e506a9", "source_record": { "entity_id": "3220910f-d6a4-3c8f-ab76-b6c380e506a9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1174", "type": "grade" }, { "course_id": "COMPSCI/ECE 766", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3220910f-d6a4-3c8f-ab76-b6c380e506a9", "source_record": { "entity_id": "3220910f-d6a4-3c8f-ab76-b6c380e506a9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "COMPSCI/ECE 766", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3220910f-d6a4-3c8f-ab76-b6c380e506a9", "source_record": { "entity_id": "3220910f-d6a4-3c8f-ab76-b6c380e506a9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "COMPSCI/ECE 766", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3220910f-d6a4-3c8f-ab76-b6c380e506a9", "source_record": { "entity_id": "3220910f-d6a4-3c8f-ab76-b6c380e506a9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "COMPSCI/ECE 766", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3220910f-d6a4-3c8f-ab76-b6c380e506a9", "source_record": { "entity_id": "3220910f-d6a4-3c8f-ab76-b6c380e506a9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "COMPSCI/ECE 766", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3220910f-d6a4-3c8f-ab76-b6c380e506a9", "source_record": { "entity_id": "3220910f-d6a4-3c8f-ab76-b6c380e506a9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI/ECE 766", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3220910f-d6a4-3c8f-ab76-b6c380e506a9", "source_record": { "entity_id": "3220910f-d6a4-3c8f-ab76-b6c380e506a9", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "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_6635d66de486b9aed5ba8aa8", "source": "madgrades", "source_instructor_id": "1012667", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHARLES ROBERT DYER", "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": 3.089, "graded": 1379, "counts": [ 452, 220, 276, 194, 162, 45, 30 ], "sections": 55 }, "instructor_url": "/instructors/CHARLES_ROBERT_DYER" }, { "instructor_uid": "instructor_8cafc2bfd7dae95aff9984df", "source": "madgrades", "source_instructor_id": "1586341", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHANG LI", "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": 3.612, "graded": 165, "counts": [ 115, 19, 13, 5, 7, 4, 2 ], "sections": 38 }, "instructor_url": "/instructors/ZHANG_LI" }, { "instructor_uid": "instructor_825bcc9ce2c98f4ab1c29579", "source": "madgrades", "source_instructor_id": "4427428", "identity_basis": "source_id", "identity_status": "source_identified", "name": "VIKAS SINGH", "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": 12, "quality": 3.58, "difficulty": 3.83, "quality_count": 12, "difficulty_count": 12, "profile_id": "rmp:1446267", "source_url": "https://www.ratemyprofessors.com/professor/1446267", "match_basis": "exact_name", "observed_at": "2026-09-07 16:00:01.465084+00:00", "courses": { "course_e0f984e8747ee9ccaba16d75": { "review_count": 9, "quality": 3.56, "difficulty": 3.78, "quality_count": 9, "difficulty_count": 9 }, "course_821f9bd2b5a7758dd5db1e18": { "review_count": 1, "quality": 2, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.6298036147166224, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.467, "graded": 284, "counts": [ 130, 85, 39, 12, 7, 6, 5 ], "sections": 146 }, "instructor_url": "/instructors/VIKAS_SINGH--instructor_825bcc9ce2c98f4ab1c29579" }, { "instructor_uid": "instructor_fb28be19ca59149fc4de281a", "source": "madgrades", "source_instructor_id": "5573480", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MOHIT GUPTA", "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": 3, "quality": 2.67, "difficulty": 3.33, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:2140649", "source_url": "https://www.ratemyprofessors.com/professor/2140649", "match_basis": "exact_name", "observed_at": "2026-09-07 16:16:41.159614+00:00", "courses": { "course_454ae4ccf39aa0d54593f0ce": { "review_count": 1, "quality": 4, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.530596333518779, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.737, "graded": 774, "counts": [ 558, 132, 34, 25, 14, 6, 5 ], "sections": 74 }, "instructor_url": "/instructors/MOHIT_GUPTA--instructor_fb28be19ca59149fc4de281a" }, { "instructor_uid": "instructor_1c884f391c1f4273ebdba017", "source": "madgrades", "source_instructor_id": "6073356", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MAULIK SHAH", "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": 3.766, "graded": 62, "counts": [ 48, 7, 1, 4, 2, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/MAULIK_SHAH" }, { "instructor_uid": "instructor_f63465047d284eabd52fc815", "source": "madgrades", "source_instructor_id": "6295051", "identity_basis": "source_id", "identity_status": "source_identified", "name": "VARUN SUNDAR", "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": 3.644, "graded": 118, "counts": [ 85, 14, 4, 6, 6, 2, 1 ], "sections": 2 }, "instructor_url": "/instructors/VARUN_SUNDAR--instructor_f63465047d284eabd52fc815" }, { "instructor_uid": "instructor_443915740eeb482b55c1b3bd", "source": "madgrades", "source_instructor_id": "5912179", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHANTANU GUPTA", "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": 3.534, "graded": 439, "counts": [ 266, 73, 38, 24, 27, 4, 7 ], "sections": 4 }, "instructor_url": "/instructors/SHANTANU_GUPTA" }, { "instructor_uid": "instructor_05424d60e31f458b44af80eb", "source": "madgrades", "source_instructor_id": "6489976", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PEDRO MARAVILHA MORGADO", "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": 3.659, "graded": 464, "counts": [ 259, 131, 51, 17, 3, 2, 1 ], "sections": 27 }, "instructor_url": "/instructors/PEDRO_MARAVILHA_MORGADO--instructor_05424d60e31f458b44af80eb" }, { "instructor_uid": "instructor_d75535f7dc798d8fdfb14c88", "source": "madgrades", "source_instructor_id": "6764381", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SUNGJIN CHEONG", "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": 3.634, "graded": 146, "counts": [ 95, 28, 10, 5, 3, 4, 1 ], "sections": 2 }, "instructor_url": "/instructors/SUNGJIN_CHEONG--instructor_d75535f7dc798d8fdfb14c88" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 766", "course_uid": "course_454ae4ccf39aa0d54593f0ce", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "CHARLES ROBERT DYER" ], "a": 6, "ab": 1, "b": 3, "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": 10, "source_aliases": [ "COMPSCI/ECE 766" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 766", "course_uid": "course_454ae4ccf39aa0d54593f0ce", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "Zhaoting Li" ], "a": 7, "ab": 1, "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": 8, "source_aliases": [ "COMPSCI/ECE 766" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 766", "course_uid": "course_454ae4ccf39aa0d54593f0ce", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "Zhaoting Li" ], "a": 20, "ab": 1, "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": 21, "source_aliases": [ "COMPSCI/ECE 766" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 766", "course_uid": "course_454ae4ccf39aa0d54593f0ce", "term_id": "1102", "term_name": "Fall 2009", "instructors": [ "Zhaoting Li" ], "a": 20, "ab": 1, "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": 21, "source_aliases": [ "COMPSCI/ECE 766" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 766", "course_uid": "course_454ae4ccf39aa0d54593f0ce", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "Zhaoting Li" ], "a": 25, "ab": 1, "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": 27, "source_aliases": [ "COMPSCI/ECE 766" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 766", "course_uid": "course_454ae4ccf39aa0d54593f0ce", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "Vikas Singh" ], "a": 7, "ab": 16, "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": 24, "source_aliases": [ "COMPSCI/ECE 766" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 766", "course_uid": "course_454ae4ccf39aa0d54593f0ce", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "Zhaoting Li" ], "a": 15, "ab": 0, "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": 16, "source_aliases": [ "COMPSCI/ECE 766" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 766", "course_uid": "course_454ae4ccf39aa0d54593f0ce", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "Vikas Singh" ], "a": 10, "ab": 10, "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": 21, "source_aliases": [ "COMPSCI/ECE 766" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 766", "course_uid": "course_454ae4ccf39aa0d54593f0ce", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "Vikas Singh" ], "a": 16, "ab": 5, "b": 6, "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": 27, "source_aliases": [ "COMPSCI/ECE 766" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 766", "course_uid": "course_454ae4ccf39aa0d54593f0ce", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "Mohit Gupta" ], "a": 40, "ab": 12, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 53, "source_aliases": [ "COMPSCI/ECE 766" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 766", "course_uid": "course_454ae4ccf39aa0d54593f0ce", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "Mohit Gupta" ], "a": 52, "ab": 4, "b": 1, "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/ECE 766" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 766", "course_uid": "course_454ae4ccf39aa0d54593f0ce", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Mohit Gupta" ], "a": 62, "ab": 18, "b": 2, "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": 82, "source_aliases": [ "COMPSCI/ECE 766" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 766", "course_uid": "course_454ae4ccf39aa0d54593f0ce", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Mohit Gupta" ], "a": 38, "ab": 21, "b": 5, "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": 65, "source_aliases": [ "COMPSCI/ECE 766" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 766", "course_uid": "course_454ae4ccf39aa0d54593f0ce", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "MAULIK SHAH", "Mohit Gupta" ], "a": 48, "ab": 7, "b": 1, "bc": 4, "c": 2, "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": 64, "source_aliases": [ "COMPSCI/ECE 766" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 766", "course_uid": "course_454ae4ccf39aa0d54593f0ce", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Mohit Gupta", "VARUN SUNDAR" ], "a": 59, "ab": 3, "b": 1, "bc": 3, "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": 66, "source_aliases": [ "COMPSCI/ECE 766" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 766", "course_uid": "course_454ae4ccf39aa0d54593f0ce", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Mohit Gupta", "SHANTANU GUPTA" ], "a": 51, "ab": 8, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 62, "source_aliases": [ "COMPSCI/ECE 766" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 766", "course_uid": "course_454ae4ccf39aa0d54593f0ce", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Pedro Maravilha Morgado" ], "a": 82, "ab": 4, "b": 4, "bc": 4, "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": 94, "source_aliases": [ "COMPSCI/ECE 766" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE 766", "course_uid": "course_454ae4ccf39aa0d54593f0ce", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Mohit Gupta", "SUNGJIN CHEONG" ], "a": 48, "ab": 7, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 59, "source_aliases": [ "COMPSCI/ECE 766" ] } ] ``` ### statistics #### gpa 3.84 #### graded 773 #### counts * 606 * 120 * 30 * 12 * 2 * 0 * 3 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_454ae4ccf39aa0d54593f0ce-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_454ae4ccf39aa0d54593f0ce-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_454ae4ccf39aa0d54593f0ce-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_454ae4ccf39aa0d54593f0ce-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_454ae4ccf39aa0d54593f0ce-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_454ae4ccf39aa0d54593f0ce-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_454ae4ccf39aa0d54593f0ce-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_454ae4ccf39aa0d54593f0ce-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.8395860284605434 #### count 773 #### university ##### size 4580 ##### gpa Percentile 68 ##### count Percentile 86 ##### median Count 150 ##### 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 | 21 | false | | 2.8–3.2 | 364 | false | | 3.2–3.6 | 1354 | false | | 3.6–4.0 | 2841 | true | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 96, "gpaPercentile": 81, "countPercentile": 68, "medianCount": 279, "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": 13, "current": false }, { "range": "3.2–3.6", "count": 32, "current": false }, { "range": "3.6–4.0", "count": 51, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 124, "gpaPercentile": 81, "countPercentile": 79, "medianCount": 164.5, "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": 12, "current": false }, { "range": "3.2–3.6", "count": 50, "current": false }, { "range": "3.6–4.0", "count": 62, "current": true } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.65 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | #### 1082 ##### term 1082 ##### gpa 3.9375 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | #### 1092 ##### term 1092 ##### gpa 3.9761904761904763 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | #### 1102 ##### term 1102 ##### gpa 3.9761904761904763 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | #### 1112 ##### term 1112 ##### gpa 3.980769230769231 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | #### 1124 ##### term 1124 ##### gpa 3.625 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | #### 1132 ##### term 1132 ##### gpa 3.9375 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | #### 1144 ##### term 1144 ##### gpa 3.7142857142857144 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | #### 1154 ##### term 1154 ##### gpa 3.685185185185185 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | #### 1164 ##### term 1164 ##### gpa 3.811320754716981 ##### count 53 ##### university ###### size 965 ###### gpa Percentile 78 ###### 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 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 32, "gpaPercentile": 90, "countPercentile": 29, "medianCount": 84, "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": 3, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 32, "gpaPercentile": 90, "countPercentile": 29, "medianCount": 83.5, "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": 1, "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": 15, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.9473684210526314 ##### count 57 ##### university ###### size 955 ###### gpa Percentile 91 ###### count Percentile 39 ###### 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 | 29 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 30, "gpaPercentile": 93, "countPercentile": 17, "medianCount": 108, "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": 7, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 32, "gpaPercentile": 94, "countPercentile": 26, "medianCount": 85, "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": 3, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.8658536585365852 ##### count 82 ##### university ###### size 1010 ###### gpa Percentile 84 ###### count Percentile 58 ###### 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 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 93, "countPercentile": 23, "medianCount": 126, "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": 15, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 34, "gpaPercentile": 88, "countPercentile": 45, "medianCount": 84.5, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.7384615384615385 ##### count 65 ##### university ###### size 1040 ###### gpa Percentile 72 ###### count Percentile 48 ###### 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": 76, "countPercentile": 30, "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 } ] } }, { "subject": "ECE", "comparison": { "size": 36, "gpaPercentile": 74, "countPercentile": 34, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 15, "current": true } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.7661290322580645 ##### count 62 ##### university ###### size 1012 ###### gpa Percentile 53 ###### count Percentile 48 ###### median Count 65.5 ###### 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 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 42, "gpaPercentile": 73, "countPercentile": 27, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 19, "current": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 34, "gpaPercentile": 55, "countPercentile": 30, "medianCount": 73.5, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 25, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.893939393939394 ##### count 66 ##### university ###### size 1171 ###### gpa Percentile 81 ###### count Percentile 51 ###### 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 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 45, "gpaPercentile": 93, "countPercentile": 30, "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": 11, "current": false }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 43, "gpaPercentile": 86, "countPercentile": 40, "medianCount": 78, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 18, "current": false }, { "range": "3.6–4.0", "count": 18, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.838709677419355 ##### count 62 ##### university ###### size 1188 ###### gpa Percentile 72 ###### count Percentile 47 ###### 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": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 82, "countPercentile": 29, "medianCount": 111, "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": 8, "current": false }, { "range": "3.2–3.6", "count": 26, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 41, "gpaPercentile": 85, "countPercentile": 38, "medianCount": 70, "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": 22, "current": false }, { "range": "3.6–4.0", "count": 15, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.872340425531915 ##### count 94 ##### university ###### size 1241 ###### gpa Percentile 78 ###### count Percentile 67 ###### 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": 84, "countPercentile": 38, "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 } ] } }, { "subject": "ECE", "comparison": { "size": 38, "gpaPercentile": 81, "countPercentile": 59, "medianCount": 83.5, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 18, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.836206896551724 ##### count 58 ##### university ###### size 1283 ###### gpa Percentile 68 ###### count Percentile 43 ###### 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 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 48, "gpaPercentile": 81, "countPercentile": 19, "medianCount": 105.5, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 21, "current": false }, { "range": "3.6–4.0", "count": 19, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 45, "gpaPercentile": 73, "countPercentile": 39, "medianCount": 73, "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": 15, "current": false }, { "range": "3.6–4.0", "count": 25, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4580 ###### gpa 3.646672528540526 ###### top Share 81.00442988285431 ###### count 150 ##### COMPSCI ###### size 96 ###### gpa 3.5712085131417695 ###### top Share 77.42697632329931 ###### count 279 ##### ECE ###### size 124 ###### gpa 3.572430224703129 ###### top Share 76.71420468042501 ###### count 164.5 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### COMPSCI ###### size 13 ###### gpa 2.984228192055664 ###### top Share 46.24763313433178 ###### count 60 ###### ECE ###### size 22 ###### gpa 3.1987946107674805 ###### top Share 56.64446757576598 ###### count 47 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### COMPSCI ###### size 15 ###### gpa 3.146224995259422 ###### top Share 51.28801425895212 ###### count 49 ###### ECE ###### size 20 ###### gpa 3.261413632703916 ###### top Share 56.446724340169375 ###### count 40 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### COMPSCI ###### size 16 ###### gpa 3.14888347660136 ###### top Share 52.49548911325188 ###### count 66.5 ###### ECE ###### size 18 ###### gpa 3.260010533524362 ###### top Share 55.57892737058536 ###### count 46.5 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### COMPSCI ###### size 19 ###### gpa 3.1851402069816737 ###### top Share 53.3667497934056 ###### count 61 ###### ECE ###### size 22 ###### gpa 3.165502628163506 ###### top Share 51.66541549824097 ###### count 48.5 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### COMPSCI ###### size 27 ###### gpa 3.2907039795974518 ###### top Share 61.485726181424475 ###### count 41 ###### ECE ###### size 27 ###### gpa 3.2587548172943666 ###### top Share 57.4110194229183 ###### count 42 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### COMPSCI ###### size 22 ###### gpa 3.1674244675767893 ###### top Share 54.635052791099376 ###### count 59 ###### ECE ###### size 22 ###### gpa 3.2619273221601444 ###### top Share 56.5536768995059 ###### count 60.5 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### COMPSCI ###### size 23 ###### gpa 3.2325357852525465 ###### top Share 57.33650851473996 ###### count 56 ###### ECE ###### size 31 ###### gpa 3.341669205733449 ###### top Share 60.24866562304859 ###### count 53 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### COMPSCI ###### size 26 ###### gpa 3.263233863996996 ###### top Share 58.711877593449 ###### count 70.5 ###### ECE ###### size 29 ###### gpa 3.3963570521991486 ###### top Share 65.23099367558979 ###### count 59 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### COMPSCI ###### size 31 ###### gpa 3.3515611477246905 ###### top Share 66.93977839039297 ###### count 63 ###### ECE ###### size 31 ###### gpa 3.3403984750469933 ###### top Share 63.036290719914646 ###### count 63 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### COMPSCI ###### size 32 ###### gpa 3.2951719476979457 ###### top Share 63.07751525075427 ###### count 84 ###### ECE ###### size 32 ###### gpa 3.3387002225789923 ###### top Share 63.627072447149246 ###### count 83.5 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### COMPSCI ###### size 30 ###### gpa 3.3383019285046376 ###### top Share 63.22952984555728 ###### count 108 ###### ECE ###### size 32 ###### gpa 3.4125499296052797 ###### top Share 66.90263468847662 ###### count 85 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### COMPSCI ###### size 31 ###### gpa 3.329310414227759 ###### top Share 61.243618316797935 ###### count 126 ###### ECE ###### size 34 ###### gpa 3.4797837203421706 ###### top Share 70.14653057475711 ###### count 84.5 ##### 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 ###### ECE ###### size 36 ###### gpa 3.5139370942069434 ###### top Share 73.58293880609176 ###### count 77 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### COMPSCI ###### size 42 ###### gpa 3.6240893265324647 ###### top Share 79.98991493017058 ###### count 90.5 ###### ECE ###### size 34 ###### gpa 3.7346193271517083 ###### top Share 86.80502962000203 ###### count 73.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### COMPSCI ###### size 45 ###### gpa 3.4719336884851772 ###### top Share 70.89188483398956 ###### count 96 ###### ECE ###### size 43 ###### gpa 3.493101515836076 ###### top Share 71.87667215876023 ###### count 78 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### COMPSCI ###### size 46 ###### gpa 3.457340982461054 ###### top Share 70.00975704504911 ###### count 111 ###### ECE ###### size 41 ###### gpa 3.521247893399985 ###### top Share 73.18909826442149 ###### count 70 ##### 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 ###### ECE ###### size 38 ###### gpa 3.554019248602149 ###### top Share 75.22296238620345 ###### count 83.5 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### COMPSCI ###### size 48 ###### gpa 3.5022746140005943 ###### top Share 73.13318776233326 ###### count 105.5 ###### ECE ###### size 45 ###### gpa 3.5814138447018746 ###### top Share 77.53027985486403 ###### count 73 ## instructor Trends ```json [ { "uid": "instructor_fb28be19ca59149fc4de281a", "name": "MOHIT GUPTA", "count": 505, "terms": [ { "term": "1164", "count": 53, "sections": 1, "gpa": 3.811320754716981 }, { "term": "1174", "count": 57, "sections": 1, "gpa": 3.9473684210526314 }, { "term": "1184", "count": 82, "sections": 1, "gpa": 3.8658536585365852 }, { "term": "1194", "count": 65, "sections": 1, "gpa": 3.7384615384615385 }, { "term": "1204", "count": 62, "sections": 1, "gpa": 3.7661290322580645 }, { "term": "1224", "count": 66, "sections": 1, "gpa": 3.893939393939394 }, { "term": "1234", "count": 62, "sections": 1, "gpa": 3.838709677419355 }, { "term": "1264", "count": 58, "sections": 1, "gpa": 3.836206896551724 } ] }, { "uid": "instructor_05424d60e31f458b44af80eb", "name": "PEDRO MARAVILHA MORGADO", "count": 94, "terms": [ { "term": "1244", "count": 94, "sections": 1, "gpa": 3.872340425531915 } ] }, { "uid": "instructor_8cafc2bfd7dae95aff9984df", "name": "ZHANG LI", "count": 92, "terms": [ { "term": "1082", "count": 8, "sections": 1, "gpa": 3.9375 }, { "term": "1092", "count": 21, "sections": 1, "gpa": 3.9761904761904763 }, { "term": "1102", "count": 21, "sections": 1, "gpa": 3.9761904761904763 }, { "term": "1112", "count": 26, "sections": 1, "gpa": 3.980769230769231 }, { "term": "1132", "count": 16, "sections": 1, "gpa": 3.9375 } ] }, { "uid": "instructor_825bcc9ce2c98f4ab1c29579", "name": "VIKAS SINGH", "count": 72, "terms": [ { "term": "1124", "count": 24, "sections": 1, "gpa": 3.625 }, { "term": "1144", "count": 21, "sections": 1, "gpa": 3.7142857142857144 }, { "term": "1154", "count": 27, "sections": 1, "gpa": 3.685185185185185 } ] }, { "uid": "instructor_f63465047d284eabd52fc815", "name": "VARUN SUNDAR", "count": 66, "terms": [ { "term": "1224", "count": 66, "sections": 1, "gpa": 3.893939393939394 } ] }, { "uid": "instructor_1c884f391c1f4273ebdba017", "name": "MAULIK SHAH", "count": 62, "terms": [ { "term": "1204", "count": 62, "sections": 1, "gpa": 3.7661290322580645 } ] }, { "uid": "instructor_443915740eeb482b55c1b3bd", "name": "SHANTANU GUPTA", "count": 62, "terms": [ { "term": "1234", "count": 62, "sections": 1, "gpa": 3.838709677419355 } ] }, { "uid": "instructor_d75535f7dc798d8fdfb14c88", "name": "SUNGJIN CHEONG", "count": 58, "terms": [ { "term": "1264", "count": 58, "sections": 1, "gpa": 3.836206896551724 } ] }, { "uid": "instructor_6635d66de486b9aed5ba8aa8", "name": "CHARLES ROBERT DYER", "count": 10, "terms": [ { "term": "1072", "count": 10, "sections": 1, "gpa": 3.65 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.8565550136255466 ### grades | grade | percentage | | ----- | ------------------ | | A | 85.01379166403385 | | AB | 8.827424823777804 | | B | 3.2834704898400187 | | BC | 1.941574541470753 | | C | 0 | | D | 0 | | F | 0.9337384808775783 | ### source Terms * 1264 * 1244 * 1234 * 1224 ### source Count 280 ### same Season false ### historical Range * 3.836206896551724 * 3.893939393939394