# ME 765: Convection | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ME_765) ## Dataset ### search projection #### version 1 #### terms * 1274 * 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 ### revision fc1811fa52e581ea57a35c0cf3343f8740a8ffbf ### repository twangodev/uwcourses ### schema version 6 ### importer version 10 ### projection id 25a5e1495a940a130efa223858e76f52294bba73a112cecf25208173491bd201 ### observed at 2026-10-14T17:50:09.728220+00:00 ### built at 2026-10-19T18:58:33.786556+00:00 ### courses 8929 ### current instructors 3758 ### limited false ### terms * 1274 * 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 1274 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 70 | | AGROECOL | 21 | | AMERIND | 54 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 53 | | ANTHRO | 93 | | ART | 124 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 70 | | BIOCHEM | 52 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 68 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 51 | | CIVENGR | 131 | | CLASSICS | 47 | | CNP | 11 | | CNSRSCI | 49 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 10 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 14 | | CS\&D | 71 | | CSCS | 39 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 33 | | ECE | 155 | | ECON | 144 | | EDPOL | 115 | | EDPSYCH | 97 | | ELPA | 71 | | EMA | 52 | | EMERMED | 17 | | ENGL | 205 | | ENTOM | 39 | | ENVIRST | 149 | | EP | 15 | | EPD | 65 | | ESL | 15 | | F\&WECOL | 60 | | FAMMED | 21 | | FINANCE | 50 | | FOLKLORE | 38 | | FOODSCI | 43 | | FRENCH | 62 | | GEN\&WS | 144 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 112 | | GEOSCI | 83 | | GERMAN | 84 | | GLE | 47 | | GNS | 39 | | GREEK | 27 | | HDFS | 43 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 232 | | HISTSCI | 54 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 21 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 52 | | ISYE | 82 | | ITALIAN | 55 | | JEWISH | 56 | | JOURN | 87 | | KINES | 127 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 118 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 90 | | LITTRANS | 79 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 65 | | MATH | 152 | | MDGENET | 8 | | ME | 132 | | MEDHIST | 41 | | MEDICINE | 59 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 45 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 60 | | MUSIC | 164 | | MUSPERF | 125 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 5 | | NTP | 11 | | NURSING | 112 | | NUTRSCI | 64 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 13 | | OPHTHALM | 5 | | OTM | 44 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 27 | | PHARMACY | 36 | | PHILOS | 76 | | PHMCOL-M | 10 | | PHMPRAC | 41 | | PHMSCI | 58 | | PHYASST | 38 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 53 | | PLPATH | 37 | | POLISCI | 197 | | POPHLTH | 54 | | PORTUG | 33 | | PSYCH | 102 | | PSYCHIAT | 21 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 101 | | S\&APHM | 16 | | SCANDST | 73 | | SLAVIC | 90 | | SOC | 145 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 81 | | SRMED | 21 | | STAT | 91 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 24 | | SURGSCI | 33 | | THEATRE | 88 | | URBRPL | 60 | | UROLOGY | 6 | | ZOOLOGY | 90 | ### designations | family | value | label | | ---------------------- | -------------------------------------- | ------------------------------------------------------------ | | breadth | biological-science | Breadth - Biological Science | | breadth | biological-science-or-social-science | Breadth - Biological Science or Social Science | | breadth | humanities | Breadth - Humanities | | breadth | humanities-or-natural-science | Breadth - Humanities or Natural Science | | breadth | humanities-or-social-science | Breadth - Humanities or Social Science | | breadth | literature | Breadth - Literature | | breadth | natural-science | Breadth - Natural Science | | breadth | physical-science | Breadth - Physical Science | | breadth | social-science | Breadth - Social Science | | breadth | social-science-or-natural-science | Breadth - Social Science or Natural Science | | catalog-level | advanced | Level - Advanced | | catalog-level | elementary | Level - Elementary | | catalog-level | intermediate | Level - Intermediate | | communication | a | Comm QR - Communication A | | communication | b | Comm QR - Communication B | | core-gened | civics-and-perspectives | Core GenEd - Civics & Perspectives | | core-gened | communication-and-literacy | Core GenEd - Communication & Literacy | | core-gened | humanities-and-arts | Core GenEd - Humanities & Arts | | core-gened | mathematics-and-quantitative-reasoning | Core GenEd - Mathematics & Quantitative Reasoning | | core-gened | natural-science-and-wellness | Core GenEd - Natural Science & Wellness | | core-gened | natural-science-and-wellness-lab | Core GenEd - Natural Science & Wellness + Lab | | core-gened | social-and-behavioral-science | Core GenEd - Social & Behavioral Science | | ethnic-studies | yes | Ethnic St - Ethnic Studies | | frgn-lang | 1st-semester-language | Frgn Lang - 1st semester language | | frgn-lang | 2nd-semester-language | Frgn Lang - 2nd semester language | | frgn-lang | 3rd-semester-language | Frgn Lang - 3rd semester language | | frgn-lang | 4th-semester-language | Frgn Lang - 4th semester language | | frgn-lang | 5th-semester-language | Frgn Lang - 5th + semester language | | graduate-credit | yes | Grad 50% - Counts toward 50% graduate coursework requirement | | honors | accelerated-honors | Honors - Accelerated Honors (!) | | honors | honors-only-courses-h | Honors - Honors Only Courses (H) | | honors | honors-optional | Honors - Honors Optional (%) | | liberal-arts | l-and-s-liberal-arts-and-science | L\&S Credit - L\&S Liberal Arts and Science | | quantitative-reasoning | a | Comm QR - Quantitative Reasoning A | | quantitative-reasoning | b | Comm QR - Quantitative Reasoning B | | workplace | workplace-experience | Workplace - Workplace Experience | ## course ### run id 20261014T203208-0851c9a1 ### semester 1274 ### observed at 2026-10-14 17:50:09.728220+00:00 ### record version id 88a03a80a18c726f286dde59c7ce5682278f52bdb62cc97645dad66d6c5932ad ### course id ME 765 ### course uid course\_b07ba4385996d2eaaa1959ba ### catalog version id 0da85ff6ad5363c13df8901be5bfc725a095799efc609447a23079c624f1778d ### course number 765 ### subjects * ME ### title CONVECTION ### description Introduction to convective heat and mass transfer, emphasizing their essential roles in energy systems, environmental processes, and industrial applications. Knowledge of heat transfer \[such asM E 564] is strongly recommended. ### requirements text Graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-49752a259f17fab0f49665b3 ### llm output id adbaa14d71914bc6b26d28be94174cd36a279390a43b18c05e45b60bfeba7cff ### llm model Qwen/Qwen3.8-27B ### llm model revision 1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0 ### llm task version 17 ### llm search status valid ### llm summary Introduction to convective heat and mass transfer, emphasizing their essential roles in energy systems, environmental processes, and industrial applications. ### llm topics * Convective heat and mass transfer in energy systems, environmental processes, and industrial applications * External and internal laminar flows with various boundary conditions * Modeling methods and correlations for turbulent heat and mass transfer ### llm skills * Deriving and utilizing analytical solutions for laminar flows * Predicting heat and mass transfer rates using integral analysis * Analyzing modeling methods and correlations for turbulent transfer problems * Translating experimental data into predictive models or correlations ### source url ### llm activity tags * mathematical-reasoning * data-analysis ### llm assumed background * Heat transfer knowledge, such as that covered in ME 564, is strongly recommended. ### llm search phrases * convective heat transfer * mass transfer * laminar flow analysis * turbulent heat transfer modeling * integral analysis of external flows * experimental data to predictive models ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### designations * Grad 50% - Counts toward 50% graduate coursework requirement ### catalog variants None recorded. ### official learning outcomes Derive and utilize analytical solutions for external and internal laminar flows with a variety of boundary conditions. ```json { "catalog_year": "2026-2027", "observed_at": "2026-10-14T17:51:30.847249+00:00", "source": "catalog", "source_url": "https://guide.wisc.edu/courses/m_e/", "term": null } ``` Predict heat and mass transfer rates in external flows using integral analysis. ```json { "catalog_year": "2026-2027", "observed_at": "2026-10-14T17:51:30.847249+00:00", "source": "catalog", "source_url": "https://guide.wisc.edu/courses/m_e/", "term": null } ``` Analyze different modeling methods and correlations for solving turbulent heat and mass transfer problems and determine expected ability to extrapolate the model to different conditions. ```json { "catalog_year": "2026-2027", "observed_at": "2026-10-14T17:51:30.847249+00:00", "source": "catalog", "source_url": "https://guide.wisc.edu/courses/m_e/", "term": null } ``` Translate experimental data into predictive models or correlations based on related analytical solutions. ```json { "catalog_year": "2026-2027", "observed_at": "2026-10-14T17:51:30.847249+00:00", "source": "catalog", "source_url": "https://guide.wisc.edu/courses/m_e/", "term": null } ``` Identify and critically examine current research topics in convection. ```json { "catalog_year": "2026-2027", "observed_at": "2026-10-14T17:51:30.847249+00:00", "source": "catalog", "source_url": "https://guide.wisc.edu/courses/m_e/", "term": null } ``` ### skills taught Deriving and utilizing analytical solutions for laminar flows ```json { "evidence": [ { "catalog_year": "2026-2027", "course_id": "ME 765", "field": "official_learning_outcomes", "observed_at": "2026-10-14T17:51:30.847249+00:00", "outcome_index": 0, "quote": "Derive and utilize analytical solutions for external and internal laminar flows with a variety of boundary conditions.", "source": "catalog", "source_url": "https://guide.wisc.edu/courses/m_e/", "term": null } ] } ``` Predicting heat and mass transfer rates using integral analysis ```json { "evidence": [ { "catalog_year": "2026-2027", "course_id": "ME 765", "field": "official_learning_outcomes", "observed_at": "2026-10-14T17:51:30.847249+00:00", "outcome_index": 1, "quote": "Predict heat and mass transfer rates in external flows using integral analysis.", "source": "catalog", "source_url": "https://guide.wisc.edu/courses/m_e/", "term": null } ] } ``` Analyzing modeling methods and correlations for turbulent transfer problems ```json { "evidence": [ { "catalog_year": "2026-2027", "course_id": "ME 765", "field": "official_learning_outcomes", "observed_at": "2026-10-14T17:51:30.847249+00:00", "outcome_index": 2, "quote": "Analyze different modeling methods and correlations for solving turbulent heat and mass transfer problems and determine expected ability to extrapolate the model to different conditions.", "source": "catalog", "source_url": "https://guide.wisc.edu/courses/m_e/", "term": null } ] } ``` Translating experimental data into predictive models or correlations ```json { "evidence": [ { "catalog_year": "2026-2027", "course_id": "ME 765", "field": "official_learning_outcomes", "observed_at": "2026-10-14T17:51:30.847249+00:00", "outcome_index": 3, "quote": "Translate experimental data into predictive models or correlations based on related analytical solutions.", "source": "catalog", "source_url": "https://guide.wisc.edu/courses/m_e/", "term": null } ] } ``` ### activity tags mathematical-reasoning ```json { "evidence": [ { "catalog_year": "2026-2027", "course_id": "ME 765", "field": "official_learning_outcomes", "observed_at": "2026-10-14T17:51:30.847249+00:00", "outcome_index": 0, "quote": "Derive and utilize analytical solutions for external and internal laminar flows with a variety of boundary conditions.", "source": "catalog", "source_url": "https://guide.wisc.edu/courses/m_e/", "term": null } ], "label": "mathematical-reasoning" } ``` data-analysis ```json { "evidence": [ { "catalog_year": "2026-2027", "course_id": "ME 765", "field": "official_learning_outcomes", "observed_at": "2026-10-14T17:51:30.847249+00:00", "outcome_index": 3, "quote": "Translate experimental data into predictive models or correlations based on related analytical solutions.", "source": "catalog", "source_url": "https://guide.wisc.edu/courses/m_e/", "term": null } ], "label": "data-analysis" } ``` ### student summary #### context hash 08af03510049ef2cb414a89fc35d6fa2ccbb488635beff8cb2725358aa0e6cf5 #### course id ME 765 #### 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 3f5110430805ccdd533c0c072df62d68a8a5f5441c4530bbdb15d419a199a09c #### quick take Recent recorded grades — Spring 2008: 4.00 GPA, 100.0% A/AB (n=8 letter grades); Spring 2012: 3.79 GPA, 91.7% A/AB (n=12 letter grades). ```json { "citations": [ { "course_id": "ME 765", "run_id": "20261014T203208-0851c9a1", "source_record": { "entity_id": "fe39ca06-8dd8-36f1-bf17-46bfaacbffbd", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1084", "type": "grade" }, { "course_id": "ME 765", "run_id": "20261014T203208-0851c9a1", "source_record": { "entity_id": "fe39ca06-8dd8-36f1-bf17-46bfaacbffbd", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1124", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 9dea82ef7f2113a5605c1c6030c4f9b19967eb742cc93a78268fb92357d29f5c #### teaching history None recorded. #### term id 1274 #### term name 2027 Sprng #### version 3 ### requirements #### nodes ```json [ { "children": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing", "id": "n1", "kind": "condition" } ] ``` #### notes None recorded. #### root n1 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_2ecaefdcbb918cc761f1e66f", "source": "madgrades", "source_instructor_id": "3368444", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TIMOTHY SHEDD", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-10-14 17:50:09.728220+00:00", "grade_statistics": { "gpa": 3.127, "graded": 810, "counts": [ 136, 206, 287, 113, 56, 12, 0 ], "sections": 90 }, "instructor_url": "/instructors/TIMOTHY_SHEDD" } ] ``` ### grades ```json [ { "run_id": "20261014T203208-0851c9a1", "semester": "1274", "observed_at": "2026-10-14 17:50:09.728220+00:00", "course_id": "ME 765", "course_uid": "course_b07ba4385996d2eaaa1959ba", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "TIMOTHY SHEDD" ], "a": 8, "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": 8, "source_aliases": [ "ME 765" ] }, { "run_id": "20261014T203208-0851c9a1", "semester": "1274", "observed_at": "2026-10-14 17:50:09.728220+00:00", "course_id": "ME 765", "course_uid": "course_b07ba4385996d2eaaa1959ba", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "TIMOTHY SHEDD" ], "a": 0, "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": 0, "source_aliases": [ "ME 765" ] }, { "run_id": "20261014T203208-0851c9a1", "semester": "1274", "observed_at": "2026-10-14 17:50:09.728220+00:00", "course_id": "ME 765", "course_uid": "course_b07ba4385996d2eaaa1959ba", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "TIMOTHY SHEDD" ], "a": 8, "ab": 3, "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": 12, "source_aliases": [ "ME 765" ] } ] ``` ### statistics #### gpa 3.875 #### graded 20 #### counts * 16 * 3 * 1 * 0 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/fc1811fa52e581ea57a35c0cf3343f8740a8ffbf/history/course\_b07ba4385996d2eaaa1959ba-0.json](https://uwcourses.com/data/fc1811fa52e581ea57a35c0cf3343f8740a8ffbf/history/course_b07ba4385996d2eaaa1959ba-0.json) #### traces * [/data/fc1811fa52e581ea57a35c0cf3343f8740a8ffbf/traces/course\_b07ba4385996d2eaaa1959ba-0.json](https://uwcourses.com/data/fc1811fa52e581ea57a35c0cf3343f8740a8ffbf/traces/course_b07ba4385996d2eaaa1959ba-0.json) #### results * [/data/fc1811fa52e581ea57a35c0cf3343f8740a8ffbf/results/course\_b07ba4385996d2eaaa1959ba-0.json](https://uwcourses.com/data/fc1811fa52e581ea57a35c0cf3343f8740a8ffbf/results/course_b07ba4385996d2eaaa1959ba-0.json) ### revision fc1811fa52e581ea57a35c0cf3343f8740a8ffbf ## context ### all #### term #### gpa 3.875 #### count 20 #### departments | subject | comparison | | ------- | ---------- | | ME | | ### terms #### 1084 ##### term 1084 ##### gpa 4 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | ME | | #### 1124 ##### term 1124 ##### gpa 3.7916666666666665 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | ME | | ### benchmarks #### all ##### school ###### size 1528 ###### gpa 3.499341649885127 ###### top Share 71.84628604140102 ###### count 84 ##### ME ###### size 29 ###### gpa 3.360406146358091 ###### top Share 62.39008862508821 ###### count 103 #### terms ##### 1084 ###### school ###### size 716 ###### gpa 3.367459363130293 ###### top Share 63.46870464399319 ###### count 70 ###### ME ###### size 19 ###### gpa 3.3467279257469214 ###### top Share 62.869017927773804 ###### count 71 ##### 1104 ###### school ###### size 789 ###### gpa 3.3843665266310476 ###### top Share 64.66984727946611 ###### count 66 ###### ME ###### size 19 ###### gpa 3.26616044613599 ###### top Share 56.79103300307398 ###### count 76 ##### 1124 ###### school ###### size 816 ###### gpa 3.405956002781669 ###### top Share 66.32449073586288 ###### count 67 ###### ME ###### size 17 ###### gpa 3.1756785264956235 ###### top Share 48.983764154886465 ###### count 79 ## instructor Trends ```json [ { "uid": "instructor_2ecaefdcbb918cc761f1e66f", "name": "TIMOTHY SHEDD", "count": 20, "terms": [ { "term": "1084", "count": 8, "sections": 1, "gpa": 4 }, { "term": "1124", "count": 12, "sections": 1, "gpa": 3.7916666666666665 } ] } ] ``` ## following None recorded.