# NAVSCI 302: Naval Weapons | UW–Madison [View on UW Courses](https://uwcourses.com/courses/NAVSCI_302) ## 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 ef1a388af8c171ef580664d0b32d9a5990a72cd7fb39130c7900b28c72320f5f ### course id NAVSCI 302 ### course uid course\_d450bd5a152b6ce6cd6328fb ### catalog version id 90825155862de53efcd437f9df2905a4c179a5e89ebbd7db80d8588a801e0339 ### course number 302 ### subjects * NAVSCI ### title NAVAL WEAPONS ### description Introduction to the properties and behavior of electronic, electromagnetic, and mechanical systems used in naval weapons systems. Topics and concepts include wide range of academic disciplines, all of which are applied to the maritime uses of radar, sonar, communications, electro-optics, computers, missile, and electronic warfare systems. Open to non-ROTC students on a space available basis, with consent of instructor. ### requirements text None ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id d416481c35b64c3f0715688e95b4659021c4c5a0fb235ef2732602084570f2d1 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary NAVSCI 302 introduces the properties and behavior of electronic, electromagnetic, and mechanical systems used in naval weapons systems. ### llm topics * Maritime uses of radar, sonar, communications, electro-optics, computers, missile, and electronic warfare systems * Properties and behavior of electronic, electromagnetic, and mechanical systems ### llm skills * Understanding properties and behavior of electronic, electromagnetic, and mechanical systems in naval contexts * Applying academic disciplines to maritime uses of radar, sonar, communications, electro-optics, computers, missile, and electronic warfare systems ### llm assumed background None recorded. ### llm search phrases * naval weapons systems * radar sonar communications * electronic warfare systems * electro-optics * missile systems * electromagnetic systems * mechanical systems * non-ROTC students ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 54622de5ddd750afe8eea8504663d9540dc331e681c337563b1361a965636ce5 #### course id NAVSCI 302 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 3.89 GPA, 100.0% A/AB (n=9 letter grades); Spring 2025: 3.96 GPA, 100.0% A/AB (n=12 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=9 letter grades). ```json { "citations": [ { "course_id": "NAVSCI 302", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "5a6b16cf-d849-315e-9e78-6d49f55429d0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "NAVSCI 302", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "5a6b16cf-d849-315e-9e78-6d49f55429d0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "NAVSCI 302", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "5a6b16cf-d849-315e-9e78-6d49f55429d0", "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 None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "None", "course": null, "evidence": "None", "id": "source_requirements", "kind": "condition" } ] ``` #### notes * Display fallback using original requirements text; not an LLM-parsed rule. #### root source\_requirements #### status needs\_review ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_d85cf11ff63a050e46cfc6fe", "source": "madgrades", "source_instructor_id": "545608", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ADAM HASKINS PAGE", "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": 3.5, "graded": 16, "counts": [ 4, 9, 2, 1, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/ADAM_HASKINS_PAGE--instructor_d85cf11ff63a050e46cfc6fe" }, { "instructor_uid": "instructor_d3376da79d82227033264ddc", "source": "madgrades", "source_instructor_id": "794250", "identity_basis": "source_id", "identity_status": "source_identified", "name": "EDWARD HARDER", "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": 3.328, "graded": 90, "counts": [ 26, 25, 29, 6, 3, 0, 1 ], "sections": 6 }, "instructor_url": "/instructors/EDWARD_HARDER" }, { "instructor_uid": "instructor_6aa91dde5763f2e5b448d24d", "source": "madgrades", "source_instructor_id": "3438208", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BRADLEY BLANCHETTE", "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": 3.539, "graded": 38, "counts": [ 17, 10, 8, 3, 0, 0, 0 ], "sections": 5 }, "instructor_url": "/instructors/BRADLEY_BLANCHETTE--instructor_6aa91dde5763f2e5b448d24d" }, { "instructor_uid": "instructor_36880a48c37463a4370b4b0b", "source": "madgrades", "source_instructor_id": "4784945", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ADAM DICKINSON", "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": 3.889, "graded": 36, "counts": [ 28, 8, 0, 0, 0, 0, 0 ], "sections": 5 }, "instructor_url": "/instructors/ADAM_DICKINSON" }, { "instructor_uid": "instructor_34c0edc7b3fd769adf29b6fb", "source": "madgrades", "source_instructor_id": "5172977", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MATTHEW MOSS", "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": 3.736, "graded": 104, "counts": [ 67, 25, 11, 0, 0, 0, 1 ], "sections": 7 }, "instructor_url": "/instructors/MATTHEW_MOSS" }, { "instructor_uid": "instructor_c4311c9d3a1957aaf2879070", "source": "madgrades", "source_instructor_id": "5618979", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KAITLIN DRYDEN", "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": 3.977, "graded": 66, "counts": [ 63, 3, 0, 0, 0, 0, 0 ], "sections": 5 }, "instructor_url": "/instructors/KAITLIN_DRYDEN--instructor_c4311c9d3a1957aaf2879070" }, { "instructor_uid": "instructor_bf48de0ad23f0298d1cea172", "source": "madgrades", "source_instructor_id": "5877061", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TAYLOR EBERT", "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": 4, "graded": 61, "counts": [ 61, 0, 0, 0, 0, 0, 0 ], "sections": 7 }, "instructor_url": "/instructors/TAYLOR_EBERT" }, { "instructor_uid": "instructor_1717a990837b8be7ef9c59dd", "source": "madgrades", "source_instructor_id": "4544493", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHAUN CERO", "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": 3.936, "graded": 47, "counts": [ 44, 2, 0, 0, 1, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/SHAUN_CERO" }, { "instructor_uid": "instructor_be5dd4cc852d65ff6f65adbc", "source": "madgrades", "source_instructor_id": "4930024", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ERICA HIPPE", "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": 3.882, "graded": 76, "counts": [ 62, 10, 4, 0, 0, 0, 0 ], "sections": 7 }, "instructor_url": "/instructors/ERICA_HIPPE--instructor_be5dd4cc852d65ff6f65adbc" }, { "instructor_uid": "instructor_56563b9dcf613d6748f59b40", "source": "madgrades", "source_instructor_id": "6687102", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ADAM STROIK", "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": 3.878, "graded": 45, "counts": [ 38, 4, 2, 1, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/ADAM_STROIK--instructor_56563b9dcf613d6748f59b40" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NAVSCI 302", 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"unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 11, "source_aliases": [ "NAVSCI 302" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NAVSCI 302", "course_uid": "course_d450bd5a152b6ce6cd6328fb", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "KAITLIN DRYDEN" ], "a": 7, "ab": 0, "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": 7, "source_aliases": [ "NAVSCI 302" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NAVSCI 302", "course_uid": "course_d450bd5a152b6ce6cd6328fb", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "SHAUN CERO" ], "a": 9, "ab": 0, "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": 9, "source_aliases": [ "NAVSCI 302" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NAVSCI 302", "course_uid": "course_d450bd5a152b6ce6cd6328fb", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "ERICA HIPPE" ], "a": 6, "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": 7, "source_aliases": [ "NAVSCI 302" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NAVSCI 302", "course_uid": "course_d450bd5a152b6ce6cd6328fb", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "ERICA HIPPE" ], "a": 10, "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": 13, "source_aliases": [ "NAVSCI 302" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NAVSCI 302", "course_uid": "course_d450bd5a152b6ce6cd6328fb", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "ERICA HIPPE" ], "a": 7, "ab": 2, "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": 9, "source_aliases": [ "NAVSCI 302" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NAVSCI 302", "course_uid": "course_d450bd5a152b6ce6cd6328fb", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Adam Stroik", "ERICA HIPPE" ], "a": 11, "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": 12, "source_aliases": [ "NAVSCI 302" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NAVSCI 302", "course_uid": "course_d450bd5a152b6ce6cd6328fb", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Adam Stroik" ], "a": 9, "ab": 0, "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": 9, "source_aliases": [ "NAVSCI 302" ] } ] ``` ### statistics #### gpa 3.875 #### graded 168 #### counts * 135 * 25 * 7 * 1 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_d450bd5a152b6ce6cd6328fb-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_d450bd5a152b6ce6cd6328fb-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_d450bd5a152b6ce6cd6328fb-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_d450bd5a152b6ce6cd6328fb-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_d450bd5a152b6ce6cd6328fb-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_d450bd5a152b6ce6cd6328fb-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.875 #### count 168 #### university ##### size 4298 ##### gpa Percentile 72 ##### count Percentile 49 ##### median Count 170 ##### 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 | 12 | false | | 2.8–3.2 | 316 | false | | 3.2–3.6 | 1235 | false | | 3.6–4.0 | 2735 | true | #### departments ```json [ { "subject": "NAVSCI", "comparison": { "size": 12, "gpaPercentile": 55, "countPercentile": 55, "medianCount": 147.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 3.6666666666666665 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | NAVSCI | | #### 1094 ##### term 1094 ##### gpa 3.5 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | NAVSCI | | #### 1114 ##### term 1114 ##### gpa 3.5 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | NAVSCI | | #### 1124 ##### term 1124 ##### gpa 3.9285714285714284 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | NAVSCI | | #### 1134 ##### term 1134 ##### gpa 3.6666666666666665 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | NAVSCI | | #### 1144 ##### term 1144 ##### gpa 3.9 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | NAVSCI | | #### 1154 ##### term 1154 ##### gpa 3.9 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | NAVSCI | | #### 1164 ##### term 1164 ##### gpa 3.892857142857143 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | NAVSCI | | #### 1174 ##### term 1174 ##### gpa 3.966666666666667 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | NAVSCI | | #### 1184 ##### term 1184 ##### gpa 4 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | NAVSCI | | #### 1194 ##### term 1194 ##### gpa 4 ##### count 7 ##### departments | subject | comparison | | ------- | ---------- | | NAVSCI | | #### 1204 ##### term 1204 ##### gpa 4 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | NAVSCI | | #### 1224 ##### term 1224 ##### gpa 3.9285714285714284 ##### count 7 ##### departments | subject | comparison | | ------- | ---------- | | NAVSCI | | #### 1234 ##### term 1234 ##### gpa 3.8461538461538463 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | NAVSCI | | #### 1244 ##### term 1244 ##### gpa 3.888888888888889 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | NAVSCI | | #### 1254 ##### term 1254 ##### gpa 3.9583333333333335 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | NAVSCI | | #### 1264 ##### term 1264 ##### gpa 4 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | NAVSCI | | ### benchmarks #### all ##### school ###### size 4298 ###### gpa 3.6599169512129595 ###### top Share 81.92066096643725 ###### count 170 ##### NAVSCI ###### size 12 ###### gpa 3.8049490199101172 ###### top Share 90.90891136603744 ###### count 147.5 #### terms ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ##### 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 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_be5dd4cc852d65ff6f65adbc", "name": "ERICA HIPPE", "count": 41, "terms": [ { "term": "1224", "count": 7, "sections": 1, "gpa": 3.9285714285714284 }, { "term": "1234", "count": 13, "sections": 1, "gpa": 3.8461538461538463 }, { "term": "1244", "count": 9, "sections": 1, "gpa": 3.888888888888889 }, { "term": "1254", "count": 12, "sections": 1, "gpa": 3.9583333333333335 } ] }, { "uid": "instructor_34c0edc7b3fd769adf29b6fb", "name": "MATTHEW MOSS", "count": 40, "terms": [ { "term": "1134", "count": 6, "sections": 1, "gpa": 3.6666666666666665 }, { "term": "1144", "count": 10, "sections": 1, "gpa": 3.9 }, { "term": "1154", "count": 10, "sections": 1, "gpa": 3.9 }, { "term": "1164", "count": 14, "sections": 1, "gpa": 3.892857142857143 } ] }, { "uid": "instructor_c4311c9d3a1957aaf2879070", "name": "KAITLIN DRYDEN", "count": 22, "terms": [ { "term": "1174", "count": 15, "sections": 1, "gpa": 3.966666666666667 }, { "term": "1194", "count": 7, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_56563b9dcf613d6748f59b40", "name": "ADAM STROIK", "count": 21, "terms": [ { "term": "1254", "count": 12, "sections": 1, "gpa": 3.9583333333333335 }, { "term": "1264", "count": 9, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_36880a48c37463a4370b4b0b", "name": "ADAM DICKINSON", "count": 14, "terms": [ { "term": "1124", "count": 14, "sections": 1, "gpa": 3.9285714285714284 } ] }, { "uid": "instructor_bf48de0ad23f0298d1cea172", "name": "TAYLOR EBERT", "count": 11, "terms": [ { "term": "1184", "count": 11, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_d3376da79d82227033264ddc", "name": "EDWARD HARDER", "count": 10, "terms": [ { "term": "1094", "count": 10, "sections": 1, "gpa": 3.5 } ] }, { "uid": "instructor_1717a990837b8be7ef9c59dd", "name": "SHAUN CERO", "count": 9, "terms": [ { "term": "1204", "count": 9, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_6aa91dde5763f2e5b448d24d", "name": "BRADLEY BLANCHETTE", "count": 6, "terms": [ { "term": "1114", "count": 6, "sections": 1, "gpa": 3.5 } ] }, { "uid": "instructor_d85cf11ff63a050e46cfc6fe", "name": "ADAM HASKINS PAGE", "count": 6, "terms": [ { "term": "1074", "count": 6, "sections": 1, "gpa": 3.6666666666666665 } ] } ] ``` ## following None recorded.