# BME/MEDPHYS 578: Non-ionizing Diagnostic Imaging | UW–Madison [View on UW Courses](https://uwcourses.com/courses/BME_MEDPHYS_578) ## 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 7d2f5011b5b848a1ca74ee7766b94efb5867e60b77d911197f5eaed4ff678bf1 ### course id BME/MEDPHYS 578 ### course uid course\_70e9a842612994047dd7eebf ### catalog version id 66ea5cc8c4fe8c7a7b04653ba6c24ab3309a5a42e210d81e6d607deb1d00755b ### course number 578 ### subjects * BME * MEDPHYS ### title NON-IONIZING DIAGNOSTIC IMAGING ### description Covers the physics associated with magnetic resonance imaging and diagnostic ultrasound emphasizing techniques employed in medical diagnostic imaging. Major MRI topics include: physics of MR, pulse sequences, hardware, imaging techniques, artifacts, and spectroscopic localization. Ultrasound based topics covered include: propagation of ultrasonic waves in biological tissues, principles of ultrasonic measuring and imaging instrumentation, design and use of currently available tools for performance evaluation of diagnostic instrumentation, and biological effects of ultrasound. Gain an understanding of the technical and scientific details of modern non-ionizing medical magnetic resonance and ultrasound devices and their use in diagnosing disease. ### requirements text MATH 234, (MATH 319or320) and (PHYSICS 202,208,241or248), or graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id c0e476f2e29c699eaeaec8d6815505a8704e977341100fa5d74c0ee00ce7f58a ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers the physics of MRI and diagnostic ultrasound, including pulse sequences, hardware, and biological effects. ### llm topics * MRI physics, pulse sequences, and hardware * Ultrasound wave propagation and instrumentation * Medical diagnostic imaging techniques ### llm skills * Understanding technical and scientific details of MRI and ultrasound devices. * Analyzing MRI physics, pulse sequences, and hardware. * Evaluating ultrasound instrumentation and biological effects. ### llm assumed background * Calculus-based physics covering electricity, magnetism, optics, and modern physics. * Multivariable calculus, differential equations, and linear algebra. ### llm search phrases * magnetic resonance imaging physics * diagnostic ultrasound physics * medical imaging instrumentation * non-ionizing radiation medical applications * MRI pulse sequences * ultrasonic wave propagation ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 9739bdcf01157f84743e528a5b23710ed3c6653709ac5a8f85b5f998c1427798 #### course id BME/MEDPHYS 578 #### 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: 3.53 GPA, 77.8% A/AB (n=18 letter grades); Spring 2025: 3.45 GPA, 65.0% A/AB (n=20 letter grades); Spring 2026: 3.36 GPA, 66.7% A/AB (n=21 letter grades). ```json { "citations": [ { "course_id": "BME/MEDPHYS 578", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "442611d0-ed3c-3678-9cdd-988c0c8b8ca5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "BME/MEDPHYS 578", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "442611d0-ed3c-3678-9cdd-988c0c8b8ca5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BME/MEDPHYS 578", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "442611d0-ed3c-3678-9cdd-988c0c8b8ca5", "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": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "MATH 234, (MATH 319or320) and (PHYSICS 202,208,241or248), or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "MATH 234, (MATH 319or320) and (PHYSICS 202,208,241or248)", "id": "n1", "kind": "all" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n2", "kind": 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3.487, "graded": 38, "counts": [ 10, 17, 11, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/BROCK_JOLICOEUR" }, { "instructor_uid": "instructor_217a3af9f5f314ec026fe307", "source": "madgrades", "source_instructor_id": "6456531", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JONATHAN HALE", "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": 3.549, "graded": 41, "counts": [ 15, 15, 11, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/JONATHAN_HALE" }, { "instructor_uid": "instructor_59379f8839b07117620461d9", "source": "madgrades", "source_instructor_id": "6363406", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LAURA CASTANEDA MARTINEZ", "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": 3.45, "graded": 20, "counts": [ 5, 8, 7, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/LAURA_CASTANEDA_MARTINEZ--instructor_59379f8839b07117620461d9" }, { "instructor_uid": "instructor_482a03bc5abe441cb87b6e4b", "source": "madgrades", "source_instructor_id": "6449187", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZAHRA ALYANI NEZHAD", "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": 3.357, "graded": 21, "counts": [ 2, 12, 6, 1, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/ZAHRA_ALYANI_NEZHAD--instructor_482a03bc5abe441cb87b6e4b" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BME/MEDPHYS 578", "course_uid": "course_70e9a842612994047dd7eebf", "term_id": "1154", "term_name": "Spring 2015", "instructors": 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"satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 18, "source_aliases": [ "BME/MEDPHYS 578" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BME/MEDPHYS 578", "course_uid": "course_70e9a842612994047dd7eebf", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "BROCK JOLICOEUR", "Ivan Rosado-Mendez", "JONATHAN HALE", "Kevin Johnson", "LAURA CASTANEDA MARTINEZ" ], "a": 5, "ab": 8, "b": 7, "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": 20, "source_aliases": [ "BME/MEDPHYS 578" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BME/MEDPHYS 578", "course_uid": "course_70e9a842612994047dd7eebf", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Ivan Rosado-Mendez", "Kevin Johnson", "Zahra Alyani Nezhad" ], "a": 2, "ab": 12, "b": 6, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 22, "source_aliases": [ "BME/MEDPHYS 578" ] } ] ``` ### statistics #### gpa 3.474 #### graded 174 #### counts * 50 * 68 * 53 * 3 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_70e9a842612994047dd7eebf-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_70e9a842612994047dd7eebf-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_70e9a842612994047dd7eebf-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_70e9a842612994047dd7eebf-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_70e9a842612994047dd7eebf-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_70e9a842612994047dd7eebf-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.4741379310344827 #### count 174 #### university ##### size 3480 ##### gpa Percentile 23 ##### count Percentile 60 ##### median Count 127 ##### 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 | 15 | false | | 2.8–3.2 | 256 | false | | 3.2–3.6 | 919 | true | | 3.6–4.0 | 2290 | false | #### departments ```json [ { "subject": "BME", "comparison": { "size": 26, "gpaPercentile": 16, "countPercentile": 48, "medianCount": 192.5, "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": 8, "current": true }, { "range": "3.6–4.0", "count": 18, "current": false } ] } }, { "subject": "MEDPHYS", "comparison": { "size": 12, "gpaPercentile": 18, "countPercentile": 91, "medianCount": 103.5, "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": 4, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` ### terms #### 1154 ##### term 1154 ##### gpa 3.685185185185185 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | BME | | | MEDPHYS | | #### 1164 ##### term 1164 ##### gpa 3.526315789473684 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | BME | | | MEDPHYS | | #### 1174 ##### term 1174 ##### gpa 3.388888888888889 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | BME | | | MEDPHYS | | #### 1224 ##### term 1224 ##### gpa 3.5 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | BME | | | MEDPHYS | | #### 1234 ##### term 1234 ##### gpa 3.3541666666666665 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | BME | | | MEDPHYS | | #### 1244 ##### term 1244 ##### gpa 3.5277777777777777 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | BME | | | MEDPHYS | | #### 1254 ##### term 1254 ##### gpa 3.45 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | BME | | | MEDPHYS | | #### 1264 ##### term 1264 ##### gpa 3.357142857142857 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | BME | | | MEDPHYS | | ### benchmarks #### all ##### school ###### size 3480 ###### gpa 3.6684643279890397 ###### top Share 82.49089232413814 ###### count 127 ##### BME ###### size 26 ###### gpa 3.724884983348063 ###### top Share 86.2927811520562 ###### count 192.5 ##### MEDPHYS ###### size 12 ###### gpa 3.7208758609102257 ###### top Share 84.26827584441727 ###### count 103.5 #### terms ##### 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 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### BME ###### size 13 ###### gpa 3.7686698353645096 ###### top Share 88.43832733164831 ###### count 62 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### BME ###### size 11 ###### gpa 3.7017837045888244 ###### top Share 82.539715309814 ###### count 66 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### BME ###### size 13 ###### gpa 3.754893169650072 ###### top Share 87.34999687251874 ###### count 60 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### BME ###### size 12 ###### gpa 3.768611233919613 ###### top Share 88.43061421165915 ###### count 72 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### BME ###### size 14 ###### gpa 3.7528996650219564 ###### top Share 87.71281693433329 ###### count 56.5 ## instructor Trends ```json [ { "uid": "instructor_695fb2939d1010d0599f0683", "name": "KEVIN JOHNSON", "count": 101, "terms": [ { "term": "1224", "count": 18, "sections": 1, "gpa": 3.5 }, { "term": "1234", "count": 24, "sections": 1, "gpa": 3.3541666666666665 }, { "term": "1244", "count": 18, "sections": 1, "gpa": 3.5277777777777777 }, { "term": "1254", "count": 20, "sections": 1, "gpa": 3.45 }, { "term": "1264", "count": 21, "sections": 1, "gpa": 3.357142857142857 } ] }, { "uid": "instructor_bdeca61d725095ae3129e3c5", "name": "IVAN ROSADO-MENDEZ", "count": 101, "terms": [ { "term": "1224", "count": 18, "sections": 1, "gpa": 3.5 }, { "term": "1234", "count": 24, "sections": 1, "gpa": 3.3541666666666665 }, { "term": "1244", "count": 18, "sections": 1, "gpa": 3.5277777777777777 }, { "term": "1254", "count": 20, "sections": 1, "gpa": 3.45 }, { "term": "1264", "count": 21, "sections": 1, "gpa": 3.357142857142857 } ] }, { "uid": "instructor_296ac2488bff3631f7da5284", "name": "MARY ELIZABETH MEYERAND", "count": 73, "terms": [ { "term": "1154", "count": 27, "sections": 1, "gpa": 3.685185185185185 }, { "term": "1164", "count": 19, "sections": 1, "gpa": 3.526315789473684 }, { "term": "1174", "count": 27, "sections": 1, "gpa": 3.388888888888889 } ] }, { "uid": "instructor_ccb5958817cd96f9a559f3ab", "name": "TOMY VARGHESE", "count": 73, "terms": [ { "term": "1154", "count": 27, "sections": 1, "gpa": 3.685185185185185 }, { "term": "1164", "count": 19, "sections": 1, "gpa": 3.526315789473684 }, { "term": "1174", "count": 27, "sections": 1, "gpa": 3.388888888888889 } ] }, { "uid": "instructor_4dde9499bac8db83cb70c78c", "name": "ALEXANDRA CHRISTENSEN", "count": 42, "terms": [ { "term": "1234", "count": 24, "sections": 1, "gpa": 3.3541666666666665 }, { "term": "1244", "count": 18, "sections": 1, "gpa": 3.5277777777777777 } ] }, { "uid": "instructor_14df70fc755e52fb5ef51803", "name": "BROCK JOLICOEUR", "count": 38, "terms": [ { "term": "1244", "count": 18, "sections": 1, "gpa": 3.5277777777777777 }, { "term": "1254", "count": 20, "sections": 1, "gpa": 3.45 } ] }, { "uid": "instructor_8caa59d702bd08ac7721bbc2", "name": "NIRVEDH MESHRAM", "count": 27, "terms": [ { "term": "1174", "count": 27, "sections": 1, "gpa": 3.388888888888889 } ] }, { "uid": "instructor_482a03bc5abe441cb87b6e4b", "name": "ZAHRA ALYANI NEZHAD", "count": 21, "terms": [ { "term": "1264", "count": 21, "sections": 1, "gpa": 3.357142857142857 } ] }, { "uid": "instructor_217a3af9f5f314ec026fe307", "name": "JONATHAN HALE", "count": 20, "terms": [ { "term": "1254", "count": 20, "sections": 1, "gpa": 3.45 } ] }, { "uid": "instructor_59379f8839b07117620461d9", "name": "LAURA CASTANEDA MARTINEZ", "count": 20, "terms": [ { "term": "1254", "count": 20, "sections": 1, "gpa": 3.45 } ] } ] ``` ## following | code | title | | --------------- | -------------------------------------- | | BME/MEDPHYS 710 | ADVANCES IN MEDICAL MAGNETIC RESONANCE | | MEDPHYS 665 | RAD LAB - CT, MRI, AND DSA PHYSICS | | MEDPHYS 666 | RAD LAB - MEDICAL ULTRASOUND PHYSICS | | MEDPHYS 775 | ADVANCED ULTRASOUND PHYSICS |