# CIVENGR 392: Building Information Modeling (bim) | UW–Madison [View on UW Courses](https://uwcourses.com/courses/CIVENGR_392) ## 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 15f33401c163a00460a1a033ab6fd28a25d90383bf2212ce5b9cf92d09ec2421 ### course id CIVENGR 392 ### course uid course\_eb132450834b2027a94cf757 ### catalog version id 3d1eb3765eaab5dee83d400cea17c41b9782b0f0df28798ddc2322aaa31cbce7 ### course number 392 ### subjects * CIVENGR ### title BUILDING INFORMATION MODELING (BIM) ### description An introduction to the use of Building Information Modeling (BIM) technology in the construction industry. Gain experience in using 3D 4D modeling software to model and coordinate building designs. ### requirements text CIV ENGR 159, M E 160,231, graduate/professional standing, or member of Engineering Guest Students ### credits min 3 ### credits max 3 ### credit offering ids * 1272:240:023602 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id dce20ff1a4088a5afff5270b669a9ad4b8874b24f489be58625d5459a70380ce ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary CIVENGR 392 introduces Building Information Modeling (BIM) technology in construction, teaching students to use 3D and 4D modeling software to coordinate building designs. ### llm topics * Building Information Modeling (BIM) * 3D and 4D modeling software * Building design coordination ### llm skills * Using 3D and 4D modeling software for building design * Applying Building Information Modeling (BIM) technology ### llm assumed background * Foundations in civil engineering graphics and computer-aided design * Fundamentals of geometric modeling and computer-aided design systems ### llm search phrases * BIM construction industry * 3D 4D modeling software * building design coordination * CIVENGR 392 prerequisites ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash cdac1fba684857d14242d3f8beea13993ed43d29b373f95a845e4e1b5e9dd7b6 #### course id CIVENGR 392 #### current instructors ```json [ { "instructor_uid": "instructor_6c5630d51932e897f8f0d1cf", "message": "No course-specific reviews available", "name": "Zhenhua Zhu", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b029a771-6706-3d35-853b-300ef0021712", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b029a771-6706-3d35-853b-300ef0021712", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b029a771-6706-3d35-853b-300ef0021712", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.85 GPA, 95.8% A/AB (n=24 letter grades); Fall 2025: 3.98 GPA, 100.0% A/AB (n=23 letter grades); Spring 2026: 3.90 GPA, 90.5% A/AB (n=21 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2025: 3.85 GPA, 95.8% A/AB (n=24 letter grades); Fall 2025: 3.98 GPA, 100.0% A/AB (n=23 letter grades); Spring 2026: 3.90 GPA, 90.5% A/AB (n=21 letter grades). ```json { "citations": [ { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ZHENHUA ZHU is recorded teaching in Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b029a771-6706-3d35-853b-300ef0021712", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b029a771-6706-3d35-853b-300ef0021712", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b029a771-6706-3d35-853b-300ef0021712", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b029a771-6706-3d35-853b-300ef0021712", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "b029a771-6706-3d35-853b-300ef0021712", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b029a771-6706-3d35-853b-300ef0021712", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "b029a771-6706-3d35-853b-300ef0021712", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b029a771-6706-3d35-853b-300ef0021712", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "b029a771-6706-3d35-853b-300ef0021712", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b029a771-6706-3d35-853b-300ef0021712", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b029a771-6706-3d35-853b-300ef0021712", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b029a771-6706-3d35-853b-300ef0021712", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b029a771-6706-3d35-853b-300ef0021712", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CIVENGR 392", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b029a771-6706-3d35-853b-300ef0021712", "source_record": { "entity_id": "b029a771-6706-3d35-853b-300ef0021712", "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": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "CIV ENGR 159, M E 160,231, graduate/professional standing, or member of Engineering Guest Students", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 159, "minimum_grade": null, "subjects": [ "CIVENGR" ], "timing": "prior" }, "evidence": "CIV ENGR 159", "id": "n1", "kind": "course" }, { "children": [], "condition": "M E 160,231", "course": null, "evidence": "M E 160,231", "id": "n2", "kind": "condition" }, { "children": [], "condition": "graduate/professional standing, or member of Engineering Guest Students", "course": null, "evidence": "graduate/professional standing, or member of Engineering Guest Students", "id": "n3", "kind": "condition" } ] ``` #### notes * M E 160 is mentioned in requirements\_text but not in linked\_courses; treated as verbatim condition. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ----------- | ----------------- | -------------------------------- | -------------------------------- | ------------------------- | | instructor\_6c5630d51932e897f8f0d1cf | enrollment | zzhu286 | netid | source\_identified | Zhenhua Zhu | ZZHU286\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/ZHENHUA\_ZHU | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:240:023602", "course_id": "CIVENGR 392", "course_uid": "course_eb132450834b2027a94cf757", "term_id": "1272", "source_course_id": "023602", "source_subject_id": "240", "title": "Building Information Modeling (BIM)", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:28801", "term_id": "1272", "source_section_id": "28801", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 23, "enrolled": 22, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_5325fc19b30e5753051fb1a3", "source": "madgrades", "source_instructor_id": "2601502", "identity_basis": "source_id", "identity_status": "source_identified", "name": "AWAD HANNA", "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, "difficulty": 3, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:2467436", "source_url": "https://www.ratemyprofessors.com/professor/2467436", "match_basis": "exact_name", "observed_at": "2026-09-07 16:53:46.182353+00:00", "courses": {}, "bayesian_quality": 3.4432050291709526, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.657, "graded": 2595, "counts": [ 1425, 692, 387, 68, 18, 1, 4 ], "sections": 190 }, "instructor_url": "/instructors/AWAD_HANNA--instructor_5325fc19b30e5753051fb1a3" }, { "instructor_uid": "instructor_bd5fee1db012260f297ab651", "source": "madgrades", "source_instructor_id": "4259495", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MIRANDA SCHIEBER", "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": 3.82, "graded": 86, "counts": [ 60, 21, 5, 0, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/MIRANDA_SCHIEBER" }, { "instructor_uid": "instructor_efed7a3781a15c8c8c023f3f", "source": "madgrades", "source_instructor_id": "5109695", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GEORGE BISHARA", "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": 3.855, "graded": 38, "counts": [ 29, 7, 2, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/GEORGE_BISHARA--instructor_efed7a3781a15c8c8c023f3f" }, { "instructor_uid": "instructor_1789719013315e79faccce62", "source": "madgrades", "source_instructor_id": "4462584", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PAUL VAN RENS", "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": 3.623, "graded": 65, "counts": [ 29, 24, 11, 1, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/PAUL_VAN_RENS" }, { "instructor_uid": "instructor_b0090993f6cf54feb5f5ec14", "source": "madgrades", "source_instructor_id": "4838588", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TIA ENDRES", "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": 3.41, "graded": 178, "counts": [ 60, 60, 39, 8, 9, 2, 0 ], "sections": 7 }, "instructor_url": "/instructors/TIA_ENDRES" }, { "instructor_uid": "instructor_6715d82558d1b61258580f4b", "source": "madgrades", "source_instructor_id": "5595249", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RAMY ABDELMALAK", "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": 3.333, "graded": 108, "counts": [ 31, 30, 33, 8, 6, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/RAMY_ABDELMALAK" }, { "instructor_uid": "instructor_8f89672e757b62f9cfc00edd", "source": "madgrades", "source_instructor_id": "5693487", "identity_basis": "source_id", "identity_status": "source_identified", "name": "STEFANIE REICHMAN", "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": 3.587, "graded": 46, "counts": [ 20, 16, 8, 2, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/STEFANIE_REICHMAN--instructor_8f89672e757b62f9cfc00edd" }, { "instructor_uid": "instructor_55cdc2dc4e1e1a4805b1b48f", "source": "madgrades", "source_instructor_id": "5923485", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YOUSSEF LABIB", "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": 3.538, "graded": 26, "counts": [ 10, 8, 8, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/YOUSSEF_LABIB" }, { "instructor_uid": "instructor_8c57d216d69d81a164cd3e40", "source": "madgrades", "source_instructor_id": "6117457", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MENA NAGUIB", "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": 3.895, "graded": 38, "counts": [ 30, 8, 0, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/MENA_NAGUIB" }, { "instructor_uid": "instructor_cc670acb2863358fe390591e", "source": "madgrades", "source_instructor_id": "6177126", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHENHUA ZHU", "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": 3.909, "graded": 364, "counts": [ 313, 36, 15, 0, 0, 0, 0 ], "sections": 39 }, "instructor_url": "/instructors/ZHENHUA_ZHU--instructor_cc670acb2863358fe390591e" }, { "instructor_uid": "instructor_963ccc01d4d11b45103e25b3", "source": "madgrades", "source_instructor_id": "6242058", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOE SAID", "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": 3.857, "graded": 21, "counts": [ 16, 4, 1, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/JOE_SAID" }, { "instructor_uid": "instructor_dd145d4d0b3b0bcf8a41e994", "source": "madgrades", "source_instructor_id": "6374551", "identity_basis": "source_id", "identity_status": "source_identified", "name": "WEI HAN", "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": 3.745, "graded": 108, "counts": [ 82, 16, 5, 1, 1, 1, 2 ], "sections": 4 }, "instructor_url": "/instructors/WEI_HAN--instructor_dd145d4d0b3b0bcf8a41e994" }, { "instructor_uid": "instructor_6a31ad3ffab13afdf0d8818e", "source": "madgrades", "source_instructor_id": "6487051", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LIQUN 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": 3.868, "graded": 87, "counts": [ 71, 9, 7, 0, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/LIQUN_XU--instructor_6a31ad3ffab13afdf0d8818e" }, { "instructor_uid": "instructor_6c5630d51932e897f8f0d1cf", "source": "enrollment", "source_instructor_id": "zzhu286", "identity_basis": "netid", "identity_status": "source_identified", "name": "Zhenhua Zhu", "email": "ZZHU286@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/ZHENHUA_ZHU" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 392", "course_uid": "course_eb132450834b2027a94cf757", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "Awad Hanna" ], "a": 12, "ab": 1, "b": 0, "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": 14, "source_aliases": [ "CIVENGR 392" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 392", "course_uid": "course_eb132450834b2027a94cf757", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "Awad Hanna" ], "a": 17, "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": 19, "source_aliases": [ "CIVENGR 392" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 392", "course_uid": "course_eb132450834b2027a94cf757", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "Awad Hanna" ], "a": 28, "ab": 2, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, 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"course_eb132450834b2027a94cf757", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Zhenhua Zhu" ], "a": 19, "ab": 4, "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": 23, "source_aliases": [ "CIVENGR 392" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 392", "course_uid": "course_eb132450834b2027a94cf757", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Zhenhua Zhu" ], "a": 21, "ab": 2, "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": [ "CIVENGR 392" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 392", "course_uid": "course_eb132450834b2027a94cf757", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "WEI HAN", "Zhenhua Zhu" ], "a": 20, "ab": 1, "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": 23, "source_aliases": [ "CIVENGR 392" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 392", "course_uid": "course_eb132450834b2027a94cf757", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Zhenhua Zhu" ], "a": 22, "ab": 1, "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": [ "CIVENGR 392" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 392", "course_uid": "course_eb132450834b2027a94cf757", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Zhenhua Zhu" ], "a": 22, "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": 23, "source_aliases": [ "CIVENGR 392" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 392", "course_uid": "course_eb132450834b2027a94cf757", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "LIQUN XU", "Zhenhua Zhu" ], "a": 12, "ab": 3, "b": 4, "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": 19, "source_aliases": [ "CIVENGR 392" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 392", "course_uid": "course_eb132450834b2027a94cf757", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Zhenhua Zhu" ], "a": 18, "ab": 2, "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": 22, "source_aliases": [ "CIVENGR 392" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 392", "course_uid": "course_eb132450834b2027a94cf757", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "LIQUN XU", "Zhenhua Zhu" ], "a": 18, "ab": 5, "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": [ "CIVENGR 392" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 392", "course_uid": "course_eb132450834b2027a94cf757", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "LIQUN XU", "Zhenhua Zhu" ], "a": 22, "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": 23, "source_aliases": [ "CIVENGR 392" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 392", "course_uid": "course_eb132450834b2027a94cf757", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "LIQUN XU", "Zhenhua Zhu" ], "a": 19, "ab": 0, "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": 21, "source_aliases": [ "CIVENGR 392" ] } ] ``` ### statistics #### gpa 3.779 #### graded 728 #### counts * 507 * 141 * 68 * 7 * 4 * 0 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_eb132450834b2027a94cf757-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_eb132450834b2027a94cf757-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_eb132450834b2027a94cf757-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_eb132450834b2027a94cf757-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_eb132450834b2027a94cf757-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_eb132450834b2027a94cf757-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_eb132450834b2027a94cf757-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_eb132450834b2027a94cf757-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.7788461538461537 #### count 728 #### university ##### size 5565 ##### gpa Percentile 55 ##### count Percentile 80 ##### median Count 209 ##### 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 | 9 | false | | 2.8–3.2 | 328 | false | | 3.2–3.6 | 1468 | false | | 3.6–4.0 | 3759 | true | #### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 98, "gpaPercentile": 67, "countPercentile": 87, "medianCount": 156.5, "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": 30, "current": false }, { "range": "3.6–4.0", "count": 61, "current": true } ] } } ] ``` ### terms #### 1122 ##### term 1122 ##### gpa 3.857142857142857 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1124 ##### term 1124 ##### gpa 3.9722222222222223 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1132 ##### term 1132 ##### gpa 3.90625 ##### count 32 ##### university ###### size 851 ###### gpa Percentile 91 ###### count Percentile 4 ###### 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 | 40 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | true | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 17, "gpaPercentile": 94, "countPercentile": 6, "medianCount": 48, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 3.8877551020408165 ##### count 49 ##### university ###### size 852 ###### gpa Percentile 87 ###### count Percentile 33 ###### 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 | 30 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 304 | false | | 3.6–4.0 | 287 | true | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 15, "gpaPercentile": 93, "countPercentile": 14, "medianCount": 61, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.761904761904762 ##### count 42 ##### university ###### size 853 ###### gpa Percentile 80 ###### count Percentile 24 ###### 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 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | false | | 3.2–3.6 | 320 | false | | 3.6–4.0 | 268 | true | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 16, "gpaPercentile": 87, "countPercentile": 20, "medianCount": 48, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 3.875 ##### count 44 ##### university ###### size 878 ###### gpa Percentile 86 ###### count Percentile 26 ###### 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 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | true | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 15, "gpaPercentile": 93, "countPercentile": 14, "medianCount": 56, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.84 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1154 ##### term 1154 ##### gpa 3.740740740740741 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1162 ##### term 1162 ##### gpa 3.5 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1164 ##### term 1164 ##### gpa 3.52 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1172 ##### term 1172 ##### gpa 3.2954545454545454 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1174 ##### term 1174 ##### gpa 3.3636363636363638 ##### count 33 ##### university ###### size 955 ###### gpa Percentile 40 ###### count Percentile 6 ###### 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 | true | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 21, "gpaPercentile": 45, "countPercentile": 5, "medianCount": 59, "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": 6, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.3703703703703702 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1184 ##### term 1184 ##### gpa 3.8947368421052633 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1192 ##### term 1192 ##### gpa 3.5384615384615383 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1194 ##### term 1194 ##### gpa 3.9545454545454546 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1202 ##### term 1202 ##### gpa 3.8125 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1204 ##### term 1204 ##### gpa 3.861111111111111 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1212 ##### term 1212 ##### gpa 3.857142857142857 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1222 ##### term 1222 ##### gpa 3.9130434782608696 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1224 ##### term 1224 ##### gpa 3.9166666666666665 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1232 ##### term 1232 ##### gpa 3.891304347826087 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1234 ##### term 1234 ##### gpa 3.9375 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1242 ##### term 1242 ##### gpa 3.9565217391304346 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1244 ##### term 1244 ##### gpa 3.710526315789474 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1252 ##### term 1252 ##### gpa 3.8636363636363638 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1254 ##### term 1254 ##### gpa 3.8541666666666665 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1262 ##### term 1262 ##### gpa 3.9782608695652173 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1264 ##### term 1264 ##### gpa 3.9047619047619047 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | ### benchmarks #### all ##### school ###### size 5565 ###### gpa 3.68287188584291 ###### top Share 83.22768937815022 ###### count 209 ##### CIVENGR ###### size 98 ###### gpa 3.628778428316779 ###### top Share 78.79001198947537 ###### count 156.5 #### terms ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### CIVENGR ###### size 14 ###### gpa 3.211475065519943 ###### top Share 53.622641476535954 ###### count 61 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### CIVENGR ###### size 15 ###### gpa 3.2935644535073823 ###### top Share 53.66015906396434 ###### count 59 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### CIVENGR ###### size 17 ###### gpa 3.3004706976687763 ###### top Share 56.75994572021688 ###### count 48 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### CIVENGR ###### size 15 ###### gpa 3.250294749035559 ###### top Share 54.113161717090016 ###### count 61 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### CIVENGR ###### size 16 ###### gpa 3.2886396155776234 ###### top Share 54.80841483665826 ###### count 48 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### CIVENGR ###### size 15 ###### gpa 3.2556009065029548 ###### top Share 56.196325544888936 ###### count 56 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### CIVENGR ###### size 15 ###### gpa 3.3183535941271476 ###### top Share 58.55973774087117 ###### count 51 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### CIVENGR ###### size 16 ###### gpa 3.295463500578994 ###### top Share 55.46476198978767 ###### count 56.5 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### CIVENGR ###### size 20 ###### gpa 3.4243911367940547 ###### top Share 63.60795876355737 ###### count 48.5 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### CIVENGR ###### size 18 ###### gpa 3.3634893744798204 ###### top Share 59.81152220854483 ###### count 61 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### CIVENGR ###### size 18 ###### gpa 3.3349394944009956 ###### top Share 56.4493448803491 ###### count 64.5 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### CIVENGR ###### size 21 ###### gpa 3.4471467371588043 ###### top Share 65.34015451804262 ###### count 59 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### CIVENGR ###### size 20 ###### gpa 3.3704438730419826 ###### top Share 59.663994078514406 ###### count 56.5 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### CIVENGR ###### size 18 ###### gpa 3.421867094736658 ###### top Share 61.551780878585745 ###### count 53 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### CIVENGR ###### size 14 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"terms": [ { "term": "1152", "count": 25, "sections": 1, "gpa": 3.84 } ] }, { "uid": "instructor_dd145d4d0b3b0bcf8a41e994", "name": "WEI HAN", "count": 23, "terms": [ { "term": "1232", "count": 23, "sections": 1, "gpa": 3.891304347826087 } ] }, { "uid": "instructor_963ccc01d4d11b45103e25b3", "name": "JOE SAID", "count": 21, "terms": [ { "term": "1212", "count": 21, "sections": 1, "gpa": 3.857142857142857 } ] } ] ``` ## following None recorded.