# ENGL 413: English Words: Grammar, Culture, Mind | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ENGL_413) ## 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 b9b68fef282eccad099cd9a08b3065d07115d686e69915c9c37108d7d27a1042 ### course id ENGL 413 ### course uid course\_d28c3db0700c26d087bbd48e ### catalog version id d76368820a211e09b154ff5c4ef6c8e747895775a29e467a4a21b184fb9304a8 ### course number 413 ### subjects * ENGL ### title ENGLISH WORDS: GRAMMAR, CULTURE, MIND ### description Words and rules of combination (grammar) are the two basic building blocks of language. Looks at English words from different linguistic perspectives: As objects of grammar, words follow certain rules of combination (you wouldn't say "these dog ), but they also have internal structure. For example, a word like "hopefulness is fine, while "hopenessful" does not exist. From a psycholinguistic perspective examine how children learn these formal properties as well as the meaning of words. Study how words are stored in the mind and what one can learn from situations in which one cannot access the mental dictionary properly (for example, when one feels a word is on "the tip of one's tongue ). From a sociolinguistic perspective, look at historical and current influences on English vocabulary, including the role of dictionaries and spelling as a source of standardization. Does not require previous knowledge of linguistics. ### requirements text Sophomore standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 8e8be390ebf922bea700a41233a71c02577738496f1248a1eaa26bbaed6f075a ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ENGLISH WORDS: GRAMMAR, CULTURE, MIND examines English words through grammatical, psycholinguistic, and sociolinguistic perspectives. ### llm topics * Grammar and rules of combination * Internal structure of words * Psycholinguistic perspectives on word learning and memory * Sociolinguistic perspectives on vocabulary and standardization ### llm skills * Examine formal properties of words and child language acquisition * Study mental storage and access of vocabulary * Analyze historical and current influences on English vocabulary ### llm assumed background None recorded. ### llm search phrases * English word formation * psycholinguistics vocabulary * sociolinguistics standardization * grammar rules English ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash af01b556e814d8745a935746399d3bcb857475d877f95607246e43eb9c0959bc #### course id ENGL 413 #### 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 2019: 3.44 GPA, 82.4% A/AB (n=17 letter grades); Fall 2024: 3.87 GPA, 93.3% A/AB (n=15 letter grades). ```json { "citations": [ { "course_id": "ENGL 413", "run_id": "20260907T155543-ce3781c4", "source_record": { 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recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_758f192a9ede78bbcf7109b4", "source": "madgrades", "source_instructor_id": "3214961", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANJA WANNER", "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": 19, "quality": 4.26, "difficulty": 2.89, "quality_count": 19, "difficulty_count": 19, "profile_id": "rmp:770091", "source_url": "https://www.ratemyprofessors.com/professor/770091", "match_basis": "exact_name", "observed_at": "2026-09-07 16:55:02.286645+00:00", "courses": { "course_295412affcd2782f828c2eb2": { "review_count": 5, "quality": 4.6, "difficulty": 3.2, "quality_count": 5, "difficulty_count": 5 }, "course_ed6696bea3c3f7e82428c1c9": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.9521465556649207, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.598, "graded": 571, "counts": [ 286, 176, 67, 33, 4, 3, 2 ], "sections": 44 }, "instructor_url": "/instructors/ANJA_WANNER--instructor_758f192a9ede78bbcf7109b4" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENGL 413", "course_uid": "course_d28c3db0700c26d087bbd48e", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Anja Wanner" ], "a": 6, "ab": 8, "b": 0, "bc": 1, "c": 2, "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": 17, "source_aliases": [ "ENGL 413" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENGL 413", "course_uid": "course_d28c3db0700c26d087bbd48e", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Anja Wanner" ], "a": 12, "ab": 2, "b": 1, "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": 16, "source_aliases": [ "ENGL 413" ] } ] ``` ### statistics #### gpa 3.641 #### graded 32 #### counts * 18 * 10 * 1 * 1 * 2 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_d28c3db0700c26d087bbd48e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_d28c3db0700c26d087bbd48e-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_d28c3db0700c26d087bbd48e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_d28c3db0700c26d087bbd48e-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_d28c3db0700c26d087bbd48e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_d28c3db0700c26d087bbd48e-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.640625 #### count 32 #### university ##### size 1963 ##### gpa Percentile 47 ##### count Percentile 5 ##### median Count 73 ##### 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 | 17 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 620 | false | | 3.6–4.0 | 1108 | true | #### departments ```json [ { "subject": "ENGL", "comparison": { "size": 49, "gpaPercentile": 27, "countPercentile": 10, "medianCount": 63, "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": 10, "current": false }, { "range": "3.6–4.0", "count": 39, "current": true } ] } } ] ``` ### terms #### 1194 ##### term 1194 ##### gpa 3.4411764705882355 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | ENGL | | #### 1252 ##### term 1252 ##### gpa 3.8666666666666667 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | ENGL | | ### benchmarks #### all ##### school ###### size 1963 ###### gpa 3.6011935117625242 ###### top Share 78.57668778480165 ###### count 73 ##### ENGL ###### size 49 ###### gpa 3.732858779418983 ###### top Share 87.73986590907286 ###### count 63 #### terms ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### ENGL ###### size 24 ###### gpa 3.6507747882551214 ###### top Share 82.73946179655877 ###### count 71 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### ENGL ###### size 33 ###### gpa 3.761149335234773 ###### top Share 89.47012938420905 ###### count 63 ## instructor Trends ```json [ { "uid": "instructor_758f192a9ede78bbcf7109b4", "name": "ANJA WANNER", "count": 32, "terms": [ { "term": "1194", "count": 17, "sections": 1, "gpa": 3.4411764705882355 }, { "term": "1252", "count": 15, "sections": 1, "gpa": 3.8666666666666667 } ] } ] ``` ## following None recorded.