# ATMOCN/CIVENGR 701: The Chemistry of Air Pollution | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ATMOCN_CIVENGR_701) ## 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 c4c95d8e90dbbf1f73fcea389e232bf48879a49764e8c51a649c8cf2bf905555 ### course id ATMOCN/CIVENGR 701 ### course uid course\_19726ff5c2ce9293592ad405 ### catalog version id 2f36679e9270972f2af5779005a7636ccf0041eb3aaf1bbf7d1a5a7a47b1ff8f ### course number 701 ### subjects * ATMOCN * CIVENGR ### title THE CHEMISTRY OF AIR POLLUTION ### description Covers background and modern research methods for the application of chemical analysis tools to understanding of the origin, composition, and the chemical transformations of pollutants that occur in the atmosphere. Emphasis will be directed at the pollutants impacting human health, climate change, and ecosystem degradation. Approximately half of the course materials will be taken from the scientific literature and will provide the opportunity to advance skills in the critical reading of journal articles. The course is directed at graduate students conducting research and interested in air pollution and environmental chemistry. Gain experiences in presenting scientific research methods and results related to course materials. ### requirements text Graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id ebb85e50d59062db105351e90d479d42e6f59f1a5c84e40096dcb08e7679cbcb ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ATMOCN/CIVENGR 701 covers chemical analysis tools for understanding atmospheric pollutants, their origins, and transformations, with emphasis on health and climate impacts. ### llm topics * Chemical analysis of atmospheric pollutants * Impacts of pollutants on health, climate, and ecosystems * Critical reading of scientific literature ### llm skills * Critical reading of scientific journal articles * Presenting scientific research methods and results ### llm assumed background * Graduate or professional student standing ### llm search phrases * air pollution chemistry * atmospheric chemical analysis * environmental chemistry graduate * pollutant transformations * scientific literature review ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash ab73871bc23521238756c3a07e7aa08fc4414f3d52bfcd4c6659aeb93aab788b #### course id ATMOCN/CIVENGR 701 #### 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 672f506f2fc2f46a071b9777f4a92cc197b2ccdeef25590e9285146d8c7e7f90 #### quick take Recent recorded grades — Fall 2020: 3.97 GPA, 100.0% A/AB (n=16 letter grades); Fall 2022: 4.00 GPA, 100.0% A/AB (n=19 letter grades); Fall 2024: 4.00 GPA, 100.0% A/AB (n=6 letter grades). ```json { "citations": [ { "course_id": "ATMOCN/CIVENGR 701", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0e9363b6-08a8-33aa-8dea-067af081e62e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "ATMOCN/CIVENGR 701", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0e9363b6-08a8-33aa-8dea-067af081e62e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "ATMOCN/CIVENGR 701", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0e9363b6-08a8-33aa-8dea-067af081e62e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "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": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_a294744018722924604433d2", "source": "madgrades", "source_instructor_id": "3012348", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JAMES SCHAUER", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 4, "quality": 4, "difficulty": 3, "quality_count": 4, "difficulty_count": 4, "profile_id": "rmp:1988409", "source_url": "https://www.ratemyprofessors.com/professor/1988409", "match_basis": "exact_name", "observed_at": "2026-09-07 16:34:33.004513+00:00", "courses": { "course_680ca52f0196b3fed29c9d15": { "review_count": 2, "quality": 3.5, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.716404819622163, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.718, "graded": 411, "counts": [ 271, 70, 58, 6, 5, 0, 1 ], "sections": 131 }, "instructor_url": "/instructors/JAMES_SCHAUER--instructor_a294744018722924604433d2" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ATMOCN/CIVENGR 701", "course_uid": "course_19726ff5c2ce9293592ad405", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "James Schauer" ], "a": 10, "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": 10, "source_aliases": [ "ATMOCN/CIVENGR 701" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ATMOCN/CIVENGR 701", "course_uid": "course_19726ff5c2ce9293592ad405", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "James Schauer" ], "a": 15, "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": 16, "source_aliases": [ "ATMOCN/CIVENGR 701" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ATMOCN/CIVENGR 701", "course_uid": "course_19726ff5c2ce9293592ad405", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "James Schauer" ], "a": 19, "ab": 0, "b": 0, "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": 20, "source_aliases": [ "ATMOCN/CIVENGR 701" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ATMOCN/CIVENGR 701", "course_uid": "course_19726ff5c2ce9293592ad405", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "James Schauer" ], "a": 6, "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": 6, "source_aliases": [ "ATMOCN/CIVENGR 701" ] } ] ``` ### statistics #### gpa 3.99 #### graded 51 #### counts * 50 * 1 * 0 * 0 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * 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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 | 7 | false | | 2.8–3.2 | 207 | false | | 3.2–3.6 | 739 | false | | 3.6–4.0 | 1687 | true | #### departments ```json [ { "subject": "ATMOCN", "comparison": { "size": 21, "gpaPercentile": 95, "countPercentile": 25, "medianCount": 65, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } }, { "subject": "CIVENGR", "comparison": { "size": 45, "gpaPercentile": 93, "countPercentile": 23, "medianCount": 76, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 28, "current": true } ] } } ] ``` ### terms #### 1172 ##### term 1172 ##### gpa 4 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | ATMOCN | | | CIVENGR | | #### 1212 ##### term 1212 ##### gpa 3.96875 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | ATMOCN | | | CIVENGR | | #### 1232 ##### term 1232 ##### gpa 4 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | ATMOCN | | | CIVENGR | | #### 1252 ##### term 1252 ##### gpa 4 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | ATMOCN | | | CIVENGR | | ### benchmarks #### all ##### school ###### size 2640 ###### gpa 3.657012763569651 ###### top Share 81.784020043797 ###### count 97 ##### ATMOCN ###### size 21 ###### gpa 3.5733717975151325 ###### top Share 77.93950791436767 ###### count 65 ##### CIVENGR ###### size 45 ###### gpa 3.6405511978491245 ###### top Share 78.5300013652055 ###### count 76 #### terms ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### CIVENGR ###### size 18 ###### gpa 3.3349394944009956 ###### top Share 56.4493448803491 ###### count 64.5 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### CIVENGR ###### size 16 ###### gpa 3.4217087878028143 ###### top Share 63.89477900117149 ###### count 49.5 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### CIVENGR ###### size 15 ###### gpa 3.457951178470601 ###### top Share 67.632548688138 ###### count 42 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### CIVENGR ###### size 15 ###### gpa 3.5343179829018943 ###### top Share 73.12920318437412 ###### count 45 ## instructor Trends ```json [ { "uid": "instructor_a294744018722924604433d2", "name": "JAMES SCHAUER", "count": 51, "terms": [ { "term": "1172", "count": 10, "sections": 1, "gpa": 4 }, { "term": "1212", "count": 16, "sections": 1, "gpa": 3.96875 }, { "term": "1232", "count": 19, "sections": 1, "gpa": 4 }, { "term": "1252", "count": 6, "sections": 1, "gpa": 4 } ] } ] ``` ## following None recorded.