# CIVENGR/EMA 395: Materials for Constructed Facilities | UW–Madison [View on UW Courses](https://uwcourses.com/courses/CIVENGR_EMA_395) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T23:19:01.870283+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 68d3b65081755458a6caf31b96dc8c38c9f204f48b208e90fb1f2574417172b9 ### course id CIVENGR/EMA 395 ### course uid course\_b574dee9de129beb2f985792 ### catalog version id 9634ce790b58513d7b2dc20ec2c1eaa6ca607a84c764eedd8c6ffca4f4562a22 ### course number 395 ### subjects * CIVENGR * EMA ### title MATERIALS FOR CONSTRUCTED FACILITIES ### description Properties and tests of materials used in the initial construction or repair of facilities (including buildings, transportation systems, utility systems, and reinforced earth). Introduction to laboratory and field measurement techniques to assess material performance capabilities. Technical report preparation. ### requirements text (E M A 303or M E 306), graduate/professional standing, or member of Engineering Guest Students ### credits min 3 ### credits max 3 ### credit offering ids * 1272:240:003340 * 1272:346:003340 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id fcc16b8895b44ddb1205d17540d1c420ef0cd7e36de72477e090660ddd652440 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary CIVENGR/EMA 395 covers properties and tests of construction materials, measurement techniques, and technical reporting. ### llm topics * Properties and tests of materials for facilities like buildings and transportation systems. * Laboratory and field measurement techniques for material performance. ### llm skills * Laboratory and field measurement techniques for material performance. * Technical report preparation. ### llm assumed background * Fundamentals of mechanics of materials including stress, strain, and beam analysis. ### llm search phrases * materials testing construction * civil engineering materials properties * facility construction materials * EMA 395 materials course ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash c1b9a6b1c3cac2840c284f1568bc51f00251781bfbf44f029a5d750b2fd9f932 #### course id CIVENGR/EMA 395 #### current instructors ```json [ { "instructor_uid": "instructor_55cb4790c1b64211361bc46d", "message": "No course-specific reviews available", "name": "Bu Wang", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2736039", "summary": [ { "citations": [ { "course_id": "CIVENGR/EMA 395", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1c4c0a37-03c9-309a-8f3c-43f979d818f5", "source_record": { "entity_id": "1c4c0a37-03c9-309a-8f3c-43f979d818f5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "CIVENGR/EMA 395", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1c4c0a37-03c9-309a-8f3c-43f979d818f5", "source_record": { "entity_id": "1c4c0a37-03c9-309a-8f3c-43f979d818f5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "CIVENGR/EMA 395", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1c4c0a37-03c9-309a-8f3c-43f979d818f5", "source_record": { "entity_id": "1c4c0a37-03c9-309a-8f3c-43f979d818f5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.67 GPA, 79.3% A/AB (n=29 letter grades); Fall 2024: 3.31 GPA, 53.8% A/AB (n=39 letter grades); Spring 2026: 3.51 GPA, 64.1% A/AB (n=39 letter grades)." } ] } ] ``` #### 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: 3.97 GPA, 97.8% A/AB (n=46 letter grades); Fall 2025: 3.96 GPA, 97.5% A/AB (n=40 letter grades); Spring 2026: 3.51 GPA, 64.1% A/AB (n=39 letter grades). ```json { "citations": [ { "course_id": "CIVENGR/EMA 395", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "1c4c0a37-03c9-309a-8f3c-43f979d818f5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CIVENGR/EMA 395", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "1c4c0a37-03c9-309a-8f3c-43f979d818f5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CIVENGR/EMA 395", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "1c4c0a37-03c9-309a-8f3c-43f979d818f5", "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 BU WANG is recorded teaching in Fall 2021, Fall 2022, Fall 2023, Fall 2024, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "CIVENGR/EMA 395", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1c4c0a37-03c9-309a-8f3c-43f979d818f5", "source_record": { "entity_id": "1c4c0a37-03c9-309a-8f3c-43f979d818f5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "CIVENGR/EMA 395", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1c4c0a37-03c9-309a-8f3c-43f979d818f5", "source_record": { "entity_id": "1c4c0a37-03c9-309a-8f3c-43f979d818f5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "CIVENGR/EMA 395", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1c4c0a37-03c9-309a-8f3c-43f979d818f5", "source_record": { "entity_id": "1c4c0a37-03c9-309a-8f3c-43f979d818f5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "CIVENGR/EMA 395", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1c4c0a37-03c9-309a-8f3c-43f979d818f5", "source_record": { "entity_id": "1c4c0a37-03c9-309a-8f3c-43f979d818f5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "CIVENGR/EMA 395", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "1c4c0a37-03c9-309a-8f3c-43f979d818f5", "source_record": { "entity_id": "1c4c0a37-03c9-309a-8f3c-43f979d818f5", "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": [ "c1", "c2", "c3" ], "condition": null, "course": null, "evidence": "(E M A 303or M E 306), graduate/professional standing, or member of Engineering Guest Students", "id": "root", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 303, "minimum_grade": null, "subjects": [ "EMA" ], "timing": "prior" }, "evidence": "E M A 303", "id": "c1", "kind": "course" }, { "children": [], "condition": "M E 306", "course": null, "evidence": "M E 306", "id": "c2", "kind": "condition" }, { "children": [ "c4", "c5" ], "condition": null, "course": null, "evidence": "graduate/professional standing, or member of Engineering Guest Students", "id": "c3", "kind": "any" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "c4", "kind": "condition" }, { "children": [], "condition": "member of Engineering Guest Students", "course": null, "evidence": "member of Engineering Guest Students", "id": "c5", "kind": "condition" } ] ``` #### notes * Node c2 (M E 306) is present in the requirements text but is not in the linked\_courses list; treated as a condition. #### root root #### status needs\_review ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ------- | ----------------- | -------------------------------- | -------------------------------- | --------------------- | | instructor\_55cb4790c1b64211361bc46d | enrollment | bwang7 | netid | source\_identified | Bu Wang | BU.WANG\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/BU\_WANG | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:240:003340", "course_id": "CIVENGR/EMA 395", "course_uid": "course_b574dee9de129beb2f985792", "term_id": "1272", "source_course_id": "003340", "source_subject_id": "240", "title": "Materials for Constructed Facilities", "credits_min": 3, "credits_max": 3, "typically_offered": "Spring" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:346:003340", "course_id": "CIVENGR/EMA 395", "course_uid": "course_b574dee9de129beb2f985792", "term_id": "1272", "source_course_id": "003340", "source_subject_id": "346", "title": "Materials for Constructed Facilities", "credits_min": 3, "credits_max": 3, "typically_offered": "Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:12250", "term_id": "1272", "source_section_id": "12250", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 60, "enrolled": 49, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:12251", "term_id": "1272", "source_section_id": "12251", "identity_basis": "class_number", "section_number": "301", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 20, "enrolled": 18, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:12321", "term_id": "1272", "source_section_id": "12321", "identity_basis": "class_number", "section_number": "303", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 20, "enrolled": 14, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:28754", "term_id": "1272", "source_section_id": "28754", "identity_basis": "class_number", "section_number": "302", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 20, "enrolled": 17, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:12253", "term_id": "1272", "source_section_id": "12253", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 72, "enrolled": 2, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:12254", "term_id": "1272", "source_section_id": "12254", "identity_basis": "class_number", "section_number": "301", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 18, "enrolled": 1, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:12322", "term_id": "1272", "source_section_id": "12322", "identity_basis": "class_number", "section_number": "303", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 18, "enrolled": 0, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:28974", "term_id": "1272", "source_section_id": "28974", "identity_basis": "class_number", "section_number": "302", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 18, "enrolled": 1, "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_3ee96dcf5faa1a647bd8c073", "source": "madgrades", "source_instructor_id": "496592", "identity_basis": "source_id", "identity_status": "source_identified", "name": "STEVEN MARK CRAMER", "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": 3.352, "graded": 166, "counts": [ 63, 36, 39, 17, 9, 1, 1 ], "sections": 62 }, "instructor_url": "/instructors/STEVEN_MARK_CRAMER" }, { "instructor_uid": "instructor_73e257e5e2c2ba4cfbbb90bc", "source": "madgrades", "source_instructor_id": "3075177", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CARL JOHNSON", "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": 3.209, "graded": 160, "counts": [ 42, 37, 41, 26, 14, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/CARL_JOHNSON--instructor_73e257e5e2c2ba4cfbbb90bc" }, { "instructor_uid": "instructor_5d649b84b17049fc76be435c", "source": "madgrades", "source_instructor_id": "2600712", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HUSSAIN BAHIA", "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": 4, "quality": 2.5, "difficulty": 2.75, "quality_count": 4, "difficulty_count": 4, "profile_id": "rmp:1522993", "source_url": "https://www.ratemyprofessors.com/professor/1522993", "match_basis": "exact_name", "observed_at": "2026-09-07 16:36:21.296194+00:00", "courses": {}, "bayesian_quality": 3.466404819622163, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.221, "graded": 1434, "counts": [ 373, 352, 401, 178, 119, 9, 2 ], "sections": 149 }, "instructor_url": "/instructors/HUSSAIN_BAHIA--instructor_5d649b84b17049fc76be435c" }, { "instructor_uid": "instructor_cb54ada0fad0b0c711821214", "source": "madgrades", "source_instructor_id": "4272582", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SEBASTIAN PUCHALSKI", "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": 3.254, "graded": 69, "counts": [ 17, 19, 21, 6, 6, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/SEBASTIAN_PUCHALSKI--instructor_cb54ada0fad0b0c711821214" }, { "instructor_uid": "instructor_0ecad941a0dc311c50464a44", "source": "madgrades", "source_instructor_id": "4391919", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ERIK LYNGDAL", "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": 3.25, "graded": 96, "counts": [ 24, 25, 29, 13, 4, 1, 0 ], "sections": 2 }, "instructor_url": "/instructors/ERIK_LYNGDAL" }, { "instructor_uid": "instructor_9a6f8b525d1c0e49c79fca12", "source": "madgrades", "source_instructor_id": "4594286", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HASSAN TABATABAEE", "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": 3.312, "graded": 48, "counts": [ 13, 15, 13, 5, 1, 1, 0 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"review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:2088468", "source_url": "https://www.ratemyprofessors.com/professor/2088468", "match_basis": "exact_name", "observed_at": "2026-09-07 16:45:46.098569+00:00", "courses": {}, "bayesian_quality": 3.7235102700443767, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.263, "graded": 384, "counts": [ 90, 97, 144, 35, 16, 2, 0 ], "sections": 7 }, "instructor_url": "/instructors/DANIEL_SWIERTZ" }, { "instructor_uid": "instructor_2d66b171ac9c55efb1f3d01d", "source": "madgrades", "source_instructor_id": "4886486", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHENG LING", "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": 3.292, "graded": 60, "counts": [ 13, 20, 17, 9, 1, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/CHENG_LING" }, { "instructor_uid": "instructor_54a634e16be8a1a53a793a18", "source": "madgrades", "source_instructor_id": "5452090", "identity_basis": "source_id", "identity_status": "source_identified", "name": "REMYA VARMA KOTTARATHIL MADOM", "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": 3.292, "graded": 60, "counts": [ 13, 20, 17, 9, 1, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/REMYA_VARMA_KOTTARATHIL_MADOM" }, { "instructor_uid": "instructor_163c75677dff2d9eeb984af9", "source": "madgrades", "source_instructor_id": "4287199", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BU WANG", "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": 3.717, "graded": 459, "counts": [ 320, 55, 59, 15, 9, 1, 0 ], "sections": 68 }, "instructor_url": "/instructors/BU_WANG--instructor_163c75677dff2d9eeb984af9" }, { "instructor_uid": "instructor_155762d8bdfac21e9101cc96", "source": "madgrades", "source_instructor_id": "6565596", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RUNHUA ZHANG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.933, "graded": 193, "counts": [ 171, 18, 4, 0, 0, 0, 0 ], "sections": 11 }, "instructor_url": "/instructors/RUNHUA_ZHANG--instructor_155762d8bdfac21e9101cc96" }, { "instructor_uid": "instructor_55cb4790c1b64211361bc46d", "source": "enrollment", "source_instructor_id": "bwang7", "identity_basis": "netid", "identity_status": "source_identified", "name": "Bu Wang", "email": "BU.WANG@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/BU_WANG" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/EMA 395", "course_uid": "course_b574dee9de129beb2f985792", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "CARL JOHNSON", "STEVEN MARK CRAMER" ], "a": 17, "ab": 17, "b": 21, "bc": 4, "c": 3, "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": 62, "source_aliases": [ "CIVENGR/EMA 395" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/EMA 395", "course_uid": "course_b574dee9de129beb2f985792", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "Hussain Bahia" ], "a": 20, "ab": 20, "b": 14, "bc": 19, "c": 10, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, 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"passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 51, "source_aliases": [ "CIVENGR/EMA 395" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/EMA 395", "course_uid": "course_b574dee9de129beb2f985792", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Hussain Bahia" ], "a": 13, "ab": 12, "b": 19, "bc": 6, "c": 5, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 57, "source_aliases": [ "CIVENGR/EMA 395" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/EMA 395", "course_uid": "course_b574dee9de129beb2f985792", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Bu Wang" ], "a": 13, "ab": 4, "b": 19, "bc": 3, "c": 3, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 43, "source_aliases": [ "CIVENGR/EMA 395" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/EMA 395", "course_uid": "course_b574dee9de129beb2f985792", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "DANIEL SWIERTZ", "Hussain Bahia" ], "a": 11, "ab": 14, "b": 27, "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": 52, "source_aliases": [ "CIVENGR/EMA 395" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/EMA 395", "course_uid": "course_b574dee9de129beb2f985792", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Bu Wang" ], "a": 19, "ab": 13, "b": 7, "bc": 3, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 43, "source_aliases": [ "CIVENGR/EMA 395" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/EMA 395", "course_uid": "course_b574dee9de129beb2f985792", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Runhua Zhang" ], "a": 23, "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": 34, "source_aliases": [ "CIVENGR/EMA 395" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/EMA 395", "course_uid": "course_b574dee9de129beb2f985792", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Bu Wang" ], "a": 16, "ab": 7, "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": 29, "source_aliases": [ "CIVENGR/EMA 395" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/EMA 395", "course_uid": "course_b574dee9de129beb2f985792", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Runhua Zhang" ], "a": 24, "ab": 5, "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": 29, "source_aliases": [ "CIVENGR/EMA 395" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/EMA 395", "course_uid": "course_b574dee9de129beb2f985792", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Bu Wang" ], "a": 11, "ab": 10, "b": 12, "bc": 4, "c": 2, "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": 39, "source_aliases": [ "CIVENGR/EMA 395" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/EMA 395", "course_uid": "course_b574dee9de129beb2f985792", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Runhua Zhang" ], "a": 44, "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": 46, "source_aliases": [ "CIVENGR/EMA 395" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/EMA 395", "course_uid": "course_b574dee9de129beb2f985792", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Runhua Zhang" ], "a": 38, "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": 40, "source_aliases": [ "CIVENGR/EMA 395" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/EMA 395", "course_uid": "course_b574dee9de129beb2f985792", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Bu Wang" ], "a": 23, "ab": 2, "b": 9, "bc": 2, "c": 3, "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": 39, "source_aliases": [ "CIVENGR/EMA 395" ] } ] ``` ### statistics #### gpa 3.279 #### graded 1859 #### counts * 575 * 427 * 496 * 214 * 134 * 11 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_b574dee9de129beb2f985792-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_b574dee9de129beb2f985792-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_b574dee9de129beb2f985792-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_b574dee9de129beb2f985792-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_b574dee9de129beb2f985792-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_b574dee9de129beb2f985792-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_b574dee9de129beb2f985792-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_b574dee9de129beb2f985792-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.2794513179128564 #### count 1859 #### university ##### size 5684 ##### gpa Percentile 9 ##### count Percentile 92 ##### median Count 219 ##### 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 | 348 | false | | 3.2–3.6 | 1531 | true | | 3.6–4.0 | 3795 | false | #### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 99, "gpaPercentile": 11, "countPercentile": 96, "medianCount": 197, "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": 32, "current": true }, { "range": "3.6–4.0", "count": 60, "current": false } ] } }, { "subject": "EMA", "comparison": { "size": 30, "gpaPercentile": 17, "countPercentile": 86, "medianCount": 208, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 3.3306451612903225 ##### count 62 ##### university ###### size 695 ###### gpa Percentile 48 ###### count Percentile 45 ###### 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 | 3 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 184 | false | | 3.2–3.6 | 256 | true | | 3.6–4.0 | 199 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 10, "gpaPercentile": 67, "countPercentile": 100, "medianCount": 43, "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": 3, "current": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1084 ##### term 1084 ##### gpa 3.1265060240963853 ##### count 83 ##### university ###### size 720 ###### gpa Percentile 28 ###### count Percentile 60 ###### median Count 70 ###### 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 | 45 | false | | 2.8–3.2 | 207 | true | | 3.2–3.6 | 248 | false | | 3.6–4.0 | 217 | false | ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | EMA | | #### 1094 ##### term 1094 ##### gpa 3.0555555555555554 ##### count 81 ##### university ###### size 758 ###### gpa Percentile 20 ###### count Percentile 59 ###### median Count 71 ###### 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 | 35 | false | | 2.8–3.2 | 226 | true | | 3.2–3.6 | 259 | false | | 3.6–4.0 | 236 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 15, "gpaPercentile": 50, "countPercentile": 86, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 6, "current": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1104 ##### term 1104 ##### gpa 3.13265306122449 ##### count 98 ##### university ###### size 793 ###### gpa Percentile 27 ###### count Percentile 69 ###### 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 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | true | | 3.2–3.6 | 294 | false | | 3.6–4.0 | 241 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 17, "gpaPercentile": 56, "countPercentile": 100, "medianCount": 43, "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": 8, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1114 ##### term 1114 ##### gpa 2.9838709677419355 ##### count 124 ##### university ###### size 804 ###### gpa Percentile 17 ###### count Percentile 76 ###### 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 | 53 | false | | 2.8–3.2 | 231 | true | | 3.2–3.6 | 292 | false | | 3.6–4.0 | 227 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 13, "gpaPercentile": 25, "countPercentile": 100, "medianCount": 57, "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": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1124 ##### term 1124 ##### gpa 3.125 ##### count 112 ##### university ###### size 821 ###### gpa Percentile 27 ###### count Percentile 74 ###### 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 | 39 | false | | 2.8–3.2 | 223 | true | | 3.2–3.6 | 278 | false | | 3.6–4.0 | 280 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 15, "gpaPercentile": 36, "countPercentile": 100, "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": 9, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1132 ##### term 1132 ##### gpa 3.4285714285714284 ##### count 42 ##### university ###### size 851 ###### gpa Percentile 54 ###### count Percentile 25 ###### 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 | true | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 17, "gpaPercentile": 63, "countPercentile": 31, "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": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1134 ##### term 1134 ##### gpa 3.253623188405797 ##### count 69 ##### university ###### size 852 ###### gpa Percentile 35 ###### count Percentile 52 ###### 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 | true | | 3.6–4.0 | 287 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 15, "gpaPercentile": 50, "countPercentile": 79, "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": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1142 ##### term 1142 ##### gpa 3.3125 ##### count 48 ##### university ###### size 853 ###### gpa Percentile 43 ###### count Percentile 32 ###### 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 | true | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 16, "gpaPercentile": 53, "countPercentile": 47, "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": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1144 ##### term 1144 ##### gpa 3.2452830188679247 ##### count 53 ##### university ###### size 878 ###### gpa Percentile 36 ###### count Percentile 37 ###### 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 | true | | 3.6–4.0 | 299 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 15, "gpaPercentile": 57, "countPercentile": 43, "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": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1152 ##### term 1152 ##### gpa 3.1875 ##### count 48 ##### university ###### size 918 ###### gpa Percentile 27 ###### count Percentile 32 ###### 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 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 15, "gpaPercentile": 43, "countPercentile": 36, "medianCount": 51, "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": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1154 ##### term 1154 ##### gpa 3.3768115942028984 ##### count 69 ##### university ###### size 935 ###### gpa Percentile 45 ###### count Percentile 55 ###### median Count 63 ###### 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 | 38 | false | | 2.8–3.2 | 237 | false | | 3.2–3.6 | 326 | true | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 16, "gpaPercentile": 67, "countPercentile": 80, "medianCount": 56.5, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1162 ##### term 1162 ##### gpa 3.3055555555555554 ##### count 54 ##### university ###### size 954 ###### gpa Percentile 36 ###### count Percentile 40 ###### median Count 64.5 ###### 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 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 350 | true | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 20, "gpaPercentile": 53, "countPercentile": 58, "medianCount": 48.5, "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": 7, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1164 ##### term 1164 ##### gpa 3.3688524590163933 ##### count 61 ##### university ###### size 965 ###### gpa Percentile 40 ###### count Percentile 45 ###### 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 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 18, "gpaPercentile": 65, "countPercentile": 47, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1172 ##### term 1172 ##### gpa 3.2916666666666665 ##### count 60 ##### university ###### size 991 ###### gpa Percentile 32 ###### count Percentile 43 ###### 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 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 353 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 18, "gpaPercentile": 53, "countPercentile": 41, "medianCount": 64.5, "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": 5, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1174 ##### term 1174 ##### gpa 3.2295081967213113 ##### count 61 ##### university ###### size 955 ###### gpa Percentile 29 ###### count Percentile 43 ###### 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": 30, "countPercentile": 55, "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 } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1182 ##### term 1182 ##### gpa 3.1744186046511627 ##### count 43 ##### university ###### size 1025 ###### gpa Percentile 21 ###### count Percentile 24 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | true | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 20, "gpaPercentile": 37, "countPercentile": 32, "medianCount": 56.5, "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": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1184 ##### term 1184 ##### gpa 3.0943396226415096 ##### count 53 ##### university ###### size 1010 ###### gpa Percentile 17 ###### count Percentile 37 ###### 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 | true | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 18, "gpaPercentile": 24, "countPercentile": 47, "medianCount": 53, "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": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1192 ##### term 1192 ##### gpa 3.0595238095238093 ##### count 42 ##### university ###### size 1077 ###### gpa Percentile 13 ###### 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 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | true | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 14, "gpaPercentile": 31, "countPercentile": 23, "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": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": true }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1194 ##### term 1194 ##### gpa 3.1826923076923075 ##### count 52 ##### university ###### size 1040 ###### gpa Percentile 22 ###### count Percentile 36 ###### 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 | true | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 16, "gpaPercentile": 20, "countPercentile": 40, "medianCount": 52.5, "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": 4, "current": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1202 ##### term 1202 ##### gpa 3.0555555555555554 ##### count 54 ##### university ###### size 1102 ###### gpa Percentile 11 ###### count Percentile 38 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 18, "gpaPercentile": 18, "countPercentile": 71, "medianCount": 47, "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": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1204 ##### term 1204 ##### gpa 3.4615384615384617 ##### count 39 ##### university ###### size 1012 ###### gpa Percentile 16 ###### count Percentile 20 ###### 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 | true | | 3.6–4.0 | 685 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 14, "gpaPercentile": 31, "countPercentile": 8, "medianCount": 50.5, "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": 6, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1212 ##### term 1212 ##### gpa 3.1052631578947367 ##### count 57 ##### university ###### size 1111 ###### gpa Percentile 9 ###### count Percentile 41 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | true | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 16, "gpaPercentile": 13, "countPercentile": 73, "medianCount": 49.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1222 ##### term 1222 ##### gpa 3.197674418604651 ##### count 43 ##### university ###### size 1157 ###### gpa Percentile 16 ###### count Percentile 27 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | true | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 14, "gpaPercentile": 23, "countPercentile": 38, "medianCount": 48.5, "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": 4, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1224 ##### term 1224 ##### gpa 3.3461538461538463 ##### count 52 ##### university ###### size 1171 ###### gpa Percentile 26 ###### count Percentile 39 ###### 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 | true | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 16, "gpaPercentile": 40, "countPercentile": 60, "medianCount": 49, "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": 10, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1232 ##### term 1232 ##### gpa 3.5348837209302326 ##### count 43 ##### university ###### size 1216 ###### gpa Percentile 40 ###### count Percentile 27 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | true | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 15, "gpaPercentile": 50, "countPercentile": 57, "medianCount": 42, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1234 ##### term 1234 ##### gpa 3.823529411764706 ##### count 34 ##### university ###### size 1188 ###### gpa Percentile 71 ###### count Percentile 9 ###### 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": "CIVENGR", "comparison": { "size": 14, "gpaPercentile": 77, "countPercentile": 8, "medianCount": 41.5, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1242 ##### term 1242 ##### gpa 3.6724137931034484 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | EMA | | #### 1244 ##### term 1244 ##### gpa 3.913793103448276 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | EMA | | #### 1252 ##### term 1252 ##### gpa 3.3076923076923075 ##### count 39 ##### university ###### size 1333 ###### gpa Percentile 15 ###### count Percentile 19 ###### 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 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 15, "gpaPercentile": 21, "countPercentile": 29, "medianCount": 45, "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": 3, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1254 ##### term 1254 ##### gpa 3.967391304347826 ##### count 46 ##### university ###### size 1289 ###### gpa Percentile 91 ###### count Percentile 29 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 19, "gpaPercentile": 100, "countPercentile": 33, "medianCount": 46, "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": 7, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1262 ##### term 1262 ##### gpa 3.9625 ##### count 40 ##### university ###### size 1320 ###### gpa Percentile 89 ###### count Percentile 21 ###### median Count 70 ###### 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 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 20, "gpaPercentile": 84, "countPercentile": 21, "medianCount": 54, "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": 6, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } }, { "subject": "EMA", "comparison": null } ] ``` #### 1264 ##### term 1264 ##### gpa 3.5128205128205128 ##### count 39 ##### university ###### size 1283 ###### gpa Percentile 31 ###### count Percentile 18 ###### 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 | true | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 21, "gpaPercentile": 40, "countPercentile": 15, "medianCount": 53, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } }, { "subject": "EMA", "comparison": null } ] ``` ### benchmarks #### all ##### school ###### size 5684 ###### gpa 3.6790332900486233 ###### top Share 83.0005954599129 ###### count 219 ##### CIVENGR ###### size 99 ###### gpa 3.6243298746730312 ###### top Share 78.47750408785325 ###### count 197 ##### EMA ###### size 30 ###### gpa 3.5069259613796664 ###### top Share 72.22635386390102 ###### count 208 #### terms ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ###### CIVENGR ###### size 10 ###### gpa 3.1178276709660984 ###### top Share 45.356488236349094 ###### count 43 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### CIVENGR ###### size 15 ###### gpa 3.2526611351772896 ###### top Share 54.00496377565016 ###### count 48 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### CIVENGR ###### size 17 ###### gpa 3.251328628457445 ###### top Share 52.15473961830104 ###### count 43 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### CIVENGR ###### size 13 ###### gpa 3.2147516091230894 ###### top Share 51.24096246642488 ###### count 57 ##### 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 ###### gpa 3.3770127572095836 ###### top Share 62.045926316251816 ###### count 56 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### CIVENGR ###### size 16 ###### gpa 3.468224629784374 ###### top Share 64.49032891306767 ###### count 52.5 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### CIVENGR ###### size 18 ###### gpa 3.375685333131944 ###### top Share 58.67181863577574 ###### count 47 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### CIVENGR ###### size 14 ###### gpa 3.6226484761288438 ###### top Share 74.92079071686926 ###### count 50.5 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### CIVENGR ###### size 16 ###### gpa 3.4217087878028143 ###### top Share 63.89477900117149 ###### count 49.5 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### CIVENGR ###### size 14 ###### gpa 3.325129186450629 ###### top Share 55.065784552509456 ###### count 48.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### CIVENGR ###### size 16 ###### gpa 3.3736940778308147 ###### top Share 59.481413128188514 ###### count 49 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### CIVENGR ###### size 15 ###### gpa 3.457951178470601 ###### top Share 67.632548688138 ###### count 42 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 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CIVENGR ###### size 19 ###### gpa 3.501755911121444 ###### top Share 71.4094131799063 ###### count 46 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### CIVENGR ###### size 20 ###### gpa 3.5044360575458198 ###### top Share 67.9351957372048 ###### count 54 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### CIVENGR ###### size 21 ###### gpa 3.55545513949179 ###### top Share 75.0908671021143 ###### count 53 ## instructor Trends ```json [ { "uid": "instructor_5d649b84b17049fc76be435c", "name": "HUSSAIN BAHIA", "count": 1293, "terms": [ { "term": "1084", "count": 83, "sections": 1, "gpa": 3.1265060240963853 }, { "term": "1094", "count": 81, "sections": 1, "gpa": 3.0555555555555554 }, { "term": "1104", "count": 98, "sections": 1, "gpa": 3.13265306122449 }, { "term": "1114", "count": 124, "sections": 1, "gpa": 2.9838709677419355 }, { 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"sections": 1, "gpa": 3.2452830188679247 } ] }, { "uid": "instructor_9a6f8b525d1c0e49c79fca12", "name": "HASSAN TABATABAEE", "count": 48, "terms": [ { "term": "1142", "count": 48, "sections": 1, "gpa": 3.3125 } ] } ] ``` ## following | code | title | | ----------- | ------------------------------------------- | | CIVENGR 495 | SUSTAINABLE BUILDING AND MATERIALS | | CIVENGR 575 | ADVANCED HIGHWAY MATERIALS AND CONSTRUCTION | | CIVENGR 576 | ADVANCED PAVEMENT DESIGN |