# MS\&E 553: Nanomaterials & Nanotechnology | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MS%26E_553) ## 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 cfcc066af1f60793432e7be14742412c130b5d0a11c9bd6ad4bb556c3030f434 ### course id MS\&E 553 ### course uid course\_1520ef4cba23d07a0ffe1b85 ### catalog version id dcd034a0909e33c7957cdbe5984200d847356b599fca45f9a0d9a17d51bf5093 ### course number 553 ### subjects * MS\&E ### title NANOMATERIALS & NANOTECHNOLOGY ### description The principal objectives of the course are to: i) introduce advanced processing methods for synthesizing nanomaterials, ranging from single nanoparticles to three-dimensional nanostructures, ii) discuss important thermodynamic and kinetic theories related to such processing, iii) describe methods for characterizing the structure and properties of nanomaterials, iv) discuss current and emerging applications for nanomaterials, and v) illustrate the interdisciplinary nature of nanotechnology and address critical challenges. ### requirements text M S & E 350,351, orCBE 440, graduate/professional standing, or member of Engineering Guest Students ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 1ad4268fb659e5d5f1db83585251cce65bc845288e471fc18c867b053abfdc60 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers advanced processing, thermodynamics, characterization, and applications of nanomaterials and nanotechnology. ### llm topics * Nanomaterial synthesis methods * Thermodynamics and kinetics of processing * Nanomaterial characterization * Nanomaterial applications * Interdisciplinary nanotechnology challenges ### llm skills * Synthesizing nanomaterials and nanostructures * Applying thermodynamic and kinetic theories to processing * Characterizing nanomaterial structure and properties * Identifying applications for nanomaterials * Addressing interdisciplinary challenges in nanotechnology ### llm assumed background * Prerequisite coursework in chemistry, mathematics, and materials science fundamentals. * Understanding of materials structure, properties, and selection. ### llm search phrases * nanomaterials synthesis * nanostructure characterization * materials thermodynamics kinetics * nanotechnology applications ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 2bb84ee9ba19a28961c580292865f1d5d316ae9b5027b346c7cade4f23a32fbe #### course id MS\&E 553 #### 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: 3.55 GPA, 78.9% A/AB (n=19 letter grades); Spring 2025: 3.72 GPA, 82.6% A/AB (n=23 letter grades); Spring 2026: 3.68 GPA, 100.0% A/AB (n=14 letter grades). ```json { "citations": [ { "course_id": "MS&E 553", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "19cf3ccf-b73a-3335-9520-597b54602df7", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MS&E 553", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "19cf3ccf-b73a-3335-9520-597b54602df7", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MS&E 553", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "19cf3ccf-b73a-3335-9520-597b54602df7", "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", "n3" ], "condition": null, "course": null, "evidence": "M S & E 350,351, orCBE 440, graduate/professional standing, or member of Engineering Guest Students", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 350, "minimum_grade": null, "subjects": [ "MS&E" ], "timing": "prior" }, "evidence": "M S & E 350", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 351, "minimum_grade": null, "subjects": [ "MS&E" ], "timing": "prior" }, "evidence": "351", "id": "n2", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 440, "minimum_grade": null, "subjects": [ "CBE" ], "timing": "prior" }, "evidence": "CBE 440", "id": "n3", "kind": "course" } ] ``` #### notes * The phrase 'graduate/professional standing, or member of Engineering Guest Students' is a condition leaf but lacks a canonical course reference in linked\_courses. It is treated as a condition node in the tree structure for parsing purposes, #### root n0 #### status needs\_review ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_8da3d440dc751c02352d95e5", "source": "madgrades", "source_instructor_id": "3339163", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XUDONG 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", "ratings": { "review_count": 3, "quality": 5, "difficulty": 3, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:1887249", "source_url": "https://www.ratemyprofessors.com/professor/1887249", "match_basis": "exact_name", "observed_at": "2026-09-07 16:43:19.614947+00:00", "courses": {}, "bayesian_quality": 3.8345093769970395, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.51, "graded": 980, "counts": [ 424, 264, 213, 56, 19, 3, 1 ], "sections": 179 }, "instructor_url": "/instructors/XUDONG_WANG--instructor_8da3d440dc751c02352d95e5" }, { "instructor_uid": "instructor_6dc4afb809058832a880d808", "source": "madgrades", "source_instructor_id": "4535485", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LAZARUS GERMAN", "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": 3.401, "graded": 106, "counts": [ 37, 25, 33, 8, 3, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/LAZARUS_GERMAN" }, { "instructor_uid": "instructor_36dda70984b0a11aaf1d120d", "source": "madgrades", "source_instructor_id": "6179549", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DAWEI FENG", "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": 3.572, "graded": 207, "counts": [ 91, 69, 41, 4, 0, 1, 1 ], "sections": 52 }, "instructor_url": "/instructors/DAWEI_FENG--instructor_36dda70984b0a11aaf1d120d" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 553", "course_uid": "course_1520ef4cba23d07a0ffe1b85", "term_id": "1134", "term_name": "Spring 2013", "instructors": [ "Xudong Wang" ], "a": 17, "ab": 9, "b": 3, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 30, "source_aliases": [ "MS&E 553" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 553", "course_uid": "course_1520ef4cba23d07a0ffe1b85", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "Xudong Wang" ], "a": 20, "ab": 8, "b": 3, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 33, "source_aliases": [ "MS&E 553" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 553", "course_uid": "course_1520ef4cba23d07a0ffe1b85", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "Xudong Wang" ], "a": 24, "ab": 8, "b": 7, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 40, "source_aliases": [ "MS&E 553" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 553", "course_uid": "course_1520ef4cba23d07a0ffe1b85", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "Xudong Wang" ], "a": 19, "ab": 8, "b": 5, "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": 1, "other": 0, "total": 33, "source_aliases": [ "MS&E 553" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 553", "course_uid": "course_1520ef4cba23d07a0ffe1b85", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "Xudong Wang" ], "a": 26, "ab": 11, "b": 7, "bc": 0, "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": 45, "source_aliases": [ "MS&E 553" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 553", "course_uid": "course_1520ef4cba23d07a0ffe1b85", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "LAZARUS GERMAN", "Xudong Wang" ], "a": 28, "ab": 13, "b": 9, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 51, "source_aliases": [ "MS&E 553" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 553", "course_uid": "course_1520ef4cba23d07a0ffe1b85", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Dawei Feng" ], "a": 15, "ab": 12, "b": 3, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 31, "source_aliases": [ "MS&E 553" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 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"1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 553", "course_uid": "course_1520ef4cba23d07a0ffe1b85", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Dawei Feng" ], "a": 4, "ab": 5, "b": 13, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 22, "source_aliases": [ "MS&E 553" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 553", "course_uid": "course_1520ef4cba23d07a0ffe1b85", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Dawei Feng" ], "a": 6, "ab": 9, "b": 4, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 19, "source_aliases": [ "MS&E 553" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 553", "course_uid": "course_1520ef4cba23d07a0ffe1b85", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Dawei Feng" ], "a": 14, "ab": 5, "b": 4, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 23, "source_aliases": [ "MS&E 553" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 553", "course_uid": "course_1520ef4cba23d07a0ffe1b85", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Dawei Feng" ], "a": 5, "ab": 9, "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": 14, "source_aliases": [ "MS&E 553" ] } ] ``` ### statistics #### gpa 3.636 #### graded 381 #### counts * 192 * 113 * 69 * 4 * 2 * 1 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_1520ef4cba23d07a0ffe1b85-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_1520ef4cba23d07a0ffe1b85-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_1520ef4cba23d07a0ffe1b85-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_1520ef4cba23d07a0ffe1b85-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_1520ef4cba23d07a0ffe1b85-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_1520ef4cba23d07a0ffe1b85-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.636482939632546 #### count 381 #### university ##### size 3936 ##### gpa Percentile 38 ##### count Percentile 74 ##### median Count 149 ##### 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 | 272 | false | | 3.2–3.6 | 1056 | false | | 3.6–4.0 | 2596 | true | #### departments ```json [ { "subject": "MS&E", "comparison": { "size": 25, "gpaPercentile": 58, "countPercentile": 67, "medianCount": 241, "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": 11, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` ### terms #### 1134 ##### term 1134 ##### gpa 3.7 ##### count 30 ##### university ###### size 852 ###### gpa Percentile 75 ###### count Percentile 0 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 304 | false | | 3.6–4.0 | 287 | true | ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1144 ##### term 1144 ##### gpa 3.71875 ##### count 32 ##### university ###### size 878 ###### gpa Percentile 75 ###### count Percentile 4 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | true | ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1154 ##### term 1154 ##### gpa 3.717948717948718 ##### count 39 ##### university ###### size 935 ###### gpa Percentile 74 ###### count Percentile 17 ###### 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 | false | | 3.6–4.0 | 334 | true | ##### departments ```json [ { "subject": "MS&E", "comparison": { "size": 11, "gpaPercentile": 60, "countPercentile": 30, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.71875 ##### count 32 ##### university ###### size 965 ###### gpa Percentile 70 ###### count Percentile 5 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | true | ##### departments ```json [ { "subject": "MS&E", "comparison": { "size": 11, "gpaPercentile": 90, "countPercentile": 10, "medianCount": 40, "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": 4, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.6777777777777776 ##### count 45 ##### university ###### size 955 ###### gpa Percentile 68 ###### count Percentile 26 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 29 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | true | ##### departments ```json [ { "subject": "MS&E", "comparison": { "size": 11, "gpaPercentile": 80, "countPercentile": 40, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.69 ##### count 50 ##### university ###### size 1010 ###### gpa Percentile 67 ###### count Percentile 34 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "MS&E", "comparison": { "size": 11, "gpaPercentile": 80, "countPercentile": 40, "medianCount": 50, "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": 5, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.661290322580645 ##### count 31 ##### university ###### size 1040 ###### gpa Percentile 62 ###### count Percentile 2 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | true | ##### departments ```json [ { "subject": "MS&E", "comparison": { "size": 11, "gpaPercentile": 40, "countPercentile": 10, "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": 3, "current": false }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.5652173913043477 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1224 ##### term 1224 ##### gpa 3.2857142857142856 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1234 ##### term 1234 ##### gpa 3.2954545454545454 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1244 ##### term 1244 ##### gpa 3.5526315789473686 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1254 ##### term 1254 ##### gpa 3.717391304347826 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1264 ##### term 1264 ##### gpa 3.6785714285714284 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | ### benchmarks #### all ##### school ###### size 3936 ###### gpa 3.673233962680303 ###### top Share 82.76091188462134 ###### count 149 ##### MS\&E ###### size 25 ###### gpa 3.569475997063218 ###### top Share 75.64873772555593 ###### count 241 #### terms ##### 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 ###### MS\&E ###### size 11 ###### gpa 3.5145757581888515 ###### top Share 70.38130382637519 ###### count 46 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### MS\&E ###### size 11 ###### gpa 3.4028768958365343 ###### top Share 63.66182482505645 ###### count 40 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### MS\&E ###### size 11 ###### gpa 3.4183419793517715 ###### top Share 65.22519862516639 ###### count 51 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### MS\&E ###### size 11 ###### gpa 3.480073287611857 ###### top Share 71.78096632966648 ###### count 50 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### MS\&E ###### size 11 ###### gpa 3.545359918883645 ###### top Share 75.77710468297047 ###### count 49 ##### 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 ###### MS\&E ###### size 10 ###### gpa 3.576880199074966 ###### top Share 76.2136436133529 ###### count 38 ##### 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_8da3d440dc751c02352d95e5", "name": "XUDONG WANG", "count": 228, "terms": [ { "term": "1134", "count": 30, "sections": 1, "gpa": 3.7 }, { "term": "1144", "count": 32, "sections": 1, "gpa": 3.71875 }, { "term": "1154", "count": 39, "sections": 1, "gpa": 3.717948717948718 }, { "term": "1164", "count": 32, "sections": 1, "gpa": 3.71875 }, { "term": "1174", "count": 45, "sections": 1, "gpa": 3.6777777777777776 }, { "term": "1184", "count": 50, "sections": 1, "gpa": 3.69 } ] }, { "uid": "instructor_36dda70984b0a11aaf1d120d", "name": "DAWEI FENG", "count": 153, "terms": [ { "term": "1194", "count": 31, "sections": 1, "gpa": 3.661290322580645 }, { "term": "1204", "count": 23, "sections": 1, "gpa": 3.5652173913043477 }, { "term": "1224", "count": 21, "sections": 1, "gpa": 3.2857142857142856 }, { "term": "1234", "count": 22, "sections": 1, "gpa": 3.2954545454545454 }, { "term": "1244", "count": 19, "sections": 1, "gpa": 3.5526315789473686 }, { "term": "1254", "count": 23, "sections": 1, "gpa": 3.717391304347826 }, { "term": "1264", "count": 14, "sections": 1, "gpa": 3.6785714285714284 } ] }, { "uid": "instructor_6dc4afb809058832a880d808", "name": "LAZARUS GERMAN", "count": 50, "terms": [ { "term": "1184", "count": 50, "sections": 1, "gpa": 3.69 } ] } ] ``` ## following None recorded.