# LANDARC 460: Advanced Visual Communication in Landscape Architecture | UW–Madison [View on UW Courses](https://uwcourses.com/courses/LANDARC_460) ## 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 4011075b4be5a6339f269e958ce2ae8e7aa9ff5e3d2fa7219af7882fc625d7ef ### course id LANDARC 460 ### course uid course\_ec827c6a5603b0d2384fea5d ### catalog version id 148eae7503d808ade6a10ed0061b63b6630e18e5df7ef6a7e161d4ede8b47ba9 ### course number 460 ### subjects * LANDARC ### title ADVANCED VISUAL COMMUNICATION IN LANDSCAPE ARCHITECTURE ### description Focuses on the symbolic and representational computer graphics that are essential elements of design communication in landscape architecture. Reviews the strengths and weaknesses of hand and digital media and the use of both when appropriate. Topics and assignments include advanced hand sketching and graphics, computer graphic techniques, digital photography, advanced digital color theory and rendering, digital image processing, CAD drafting, 2D/3D modeling, image compositing, media formats, and video. ### requirements text LAND ARC 261 ### credits min 3 ### credits max 3 ### credit offering ids * 1272:520:025095 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 1ac4f020db3f814da84f0fe1c59e9e24b5617510f43630240920000c87b3929c ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Advanced visual communication in landscape architecture focusing on symbolic and representational computer graphics, hand and digital media, and design communication techniques. ### llm topics * Hand sketching, computer graphics, digital photography, color theory, rendering, image processing, CAD, 2D/3D modeling, compositing, and video. ### llm skills * Advanced hand sketching, computer graphics, digital photography, color theory, rendering, image processing, CAD, 2D/3D modeling, compositing, and video. ### llm assumed background * Basic landscape design principles and practical graphic communication skills. ### llm search phrases * landscape architecture visual communication * advanced digital graphics landscape * CAD drafting 3D modeling landscape * digital photography rendering landscape ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 377b1ff5143729357f48617e0bc812d8d60e8c6d0900e855fd7270f21975674d #### course id LANDARC 460 #### current instructors ```json [ { "instructor_uid": "instructor_7cd6d0f92d0cf4ada1cb649c", "message": "No course-specific reviews available", "name": "Hexing Chang", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] }, { "instructor_uid": "instructor_58b5c3bee1775b4237bbd8d9", "message": "No course-specific reviews available", "name": "Wenwen Cheng", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "LANDARC 460", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "ceedb863-435d-31ed-8d9c-38888e50f1f2", "source_record": { "entity_id": "ceedb863-435d-31ed-8d9c-38888e50f1f2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.25 GPA, 54.2% A/AB (n=24 letter grades)." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Fall 2023: 3.75 GPA, 83.3% A/AB (n=12 letter grades); Fall 2024: 3.61 GPA, 80.6% A/AB (n=31 letter grades); Fall 2025: 3.25 GPA, 54.2% A/AB (n=24 letter grades). ```json { "citations": [ { "course_id": "LANDARC 460", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "ceedb863-435d-31ed-8d9c-38888e50f1f2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "LANDARC 460", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "ceedb863-435d-31ed-8d9c-38888e50f1f2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "LANDARC 460", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "ceedb863-435d-31ed-8d9c-38888e50f1f2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history WENWEN CHENG is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "LANDARC 460", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "ceedb863-435d-31ed-8d9c-38888e50f1f2", "source_record": { "entity_id": "ceedb863-435d-31ed-8d9c-38888e50f1f2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": null, "course": { "course_number": 261, "minimum_grade": null, "subjects": [ "LANDARC" ], "timing": "prior" }, "evidence": "LAND ARC 261", "id": "n0", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ------------ | ---------------------- | -------------------------------- | -------------------------------- | -------------------------- | | instructor\_7cd6d0f92d0cf4ada1cb649c | enrollment | hchang278 | netid | source\_identified | Hexing Chang | HEXING.CHANG\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/HEXING\_CHANG | | instructor\_58b5c3bee1775b4237bbd8d9 | enrollment | wcheng76 | netid | source\_identified | Wenwen Cheng | WENWEN.CHENG\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/WENWEN\_CHENG | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:520:025095", "course_id": "LANDARC 460", "course_uid": "course_ec827c6a5603b0d2384fea5d", "term_id": "1272", "source_course_id": "025095", "source_subject_id": "520", "title": "Advanced Visual Communication in Landscape Architecture", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:33828", "term_id": "1272", "source_section_id": "33828", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 46, "enrolled": 34, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_78b305d1f4a032276bf3138f", "source": "madgrades", "source_instructor_id": "698350", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JACOB BLUE", "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": 3.5, "graded": 114, "counts": [ 27, 66, 17, 2, 2, 0, 0 ], "sections": 9 }, "instructor_url": "/instructors/JACOB_BLUE" }, { "instructor_uid": "instructor_188efefbedb7e6950c43759d", "source": "madgrades", "source_instructor_id": "6585833", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHU SUN", "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": 3.73, "graded": 174, "counts": [ 102, 54, 14, 4, 0, 0, 0 ], "sections": 7 }, "instructor_url": "/instructors/SHU_SUN" }, { "instructor_uid": "instructor_6c81a8abda5056bd3567a8e7", "source": "madgrades", "source_instructor_id": "6371202", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JINYE DU", "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": 3.625, "graded": 560, "counts": [ 318, 147, 60, 17, 8, 5, 5 ], "sections": 13 }, "instructor_url": "/instructors/JINYE_DU" }, { "instructor_uid": "instructor_40d67578a429c8ea238609aa", "source": "madgrades", "source_instructor_id": "6587133", "identity_basis": "source_id", "identity_status": "source_identified", "name": "WENWEN CHENG", "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": 3.613, "graded": 119, "counts": [ 62, 39, 13, 1, 1, 2, 1 ], "sections": 11 }, "instructor_url": "/instructors/WENWEN_CHENG--instructor_40d67578a429c8ea238609aa" }, { "instructor_uid": "instructor_58b5c3bee1775b4237bbd8d9", "source": "enrollment", "source_instructor_id": "wcheng76", "identity_basis": "netid", "identity_status": "source_identified", "name": "Wenwen Cheng", "email": "WENWEN.CHENG@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/WENWEN_CHENG" }, { "instructor_uid": "instructor_7cd6d0f92d0cf4ada1cb649c", "source": "enrollment", "source_instructor_id": "hchang278", "identity_basis": "netid", "identity_status": "source_identified", "name": "Hexing Chang", "email": "HEXING.CHANG@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/HEXING_CHANG" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "LANDARC 460", "course_uid": "course_ec827c6a5603b0d2384fea5d", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "JACOB BLUE" ], "a": 0, "ab": 10, "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": [ "LANDARC 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "LANDARC 460", "course_uid": "course_ec827c6a5603b0d2384fea5d", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "JACOB BLUE" ], "a": 2, "ab": 8, "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": 11, "source_aliases": [ "LANDARC 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "LANDARC 460", "course_uid": "course_ec827c6a5603b0d2384fea5d", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "JACOB BLUE" ], "a": 8, "ab": 0, "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": 0, "other": 0, "total": 12, "source_aliases": [ "LANDARC 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "LANDARC 460", "course_uid": "course_ec827c6a5603b0d2384fea5d", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "JACOB BLUE" ], "a": 1, "ab": 5, "b": 5, "bc": 1, "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": 13, "source_aliases": [ "LANDARC 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "LANDARC 460", "course_uid": "course_ec827c6a5603b0d2384fea5d", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "JACOB BLUE" ], "a": 1, "ab": 12, "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": 14, "source_aliases": [ "LANDARC 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "LANDARC 460", "course_uid": "course_ec827c6a5603b0d2384fea5d", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "JACOB BLUE", "Shuo Sun" ], "a": 8, "ab": 2, "b": 2, "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": [ "LANDARC 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "LANDARC 460", "course_uid": "course_ec827c6a5603b0d2384fea5d", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "JINYE DU", "Shuo Sun" ], "a": 16, "ab": 9, "b": 3, "bc": 3, "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": [ "LANDARC 460" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "LANDARC 460", "course_uid": "course_ec827c6a5603b0d2384fea5d", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Wenwen Cheng" ], "a": 13, "ab": 0, "b": 8, "bc": 0, "c": 0, "d": 2, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 24, "source_aliases": [ "LANDARC 460" ] } ] ``` ### statistics #### gpa 3.484 #### graded 126 #### counts * 49 * 46 * 22 * 4 * 2 * 2 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_ec827c6a5603b0d2384fea5d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_ec827c6a5603b0d2384fea5d-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_ec827c6a5603b0d2384fea5d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_ec827c6a5603b0d2384fea5d-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_ec827c6a5603b0d2384fea5d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_ec827c6a5603b0d2384fea5d-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_ec827c6a5603b0d2384fea5d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_ec827c6a5603b0d2384fea5d-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.484126984126984 #### count 126 #### university ##### size 3353 ##### gpa Percentile 21 ##### count Percentile 47 ##### median Count 136 ##### 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 | 6 | false | | 2.8–3.2 | 213 | false | | 3.2–3.6 | 845 | true | | 3.6–4.0 | 2289 | false | #### departments ```json [ { "subject": "LANDARC", "comparison": { "size": 20, "gpaPercentile": 16, "countPercentile": 63, "medianCount": 117, "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": true }, { "range": "3.6–4.0", "count": 12, "current": false } ] } } ] ``` ### terms #### 1192 ##### term 1192 ##### gpa 3.5 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | LANDARC | | #### 1202 ##### term 1202 ##### gpa 3.5454545454545454 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | LANDARC | | #### 1212 ##### term 1212 ##### gpa 3.5833333333333335 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | LANDARC | | #### 1222 ##### term 1222 ##### gpa 3.1538461538461537 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | LANDARC | | #### 1232 ##### term 1232 ##### gpa 3.5384615384615383 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | LANDARC | | #### 1242 ##### term 1242 ##### gpa 3.75 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | LANDARC | | #### 1252 ##### term 1252 ##### gpa 3.6129032258064515 ##### count 31 ##### university ###### size 1333 ###### gpa Percentile 43 ###### count Percentile 3 ###### 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 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments | subject | comparison | | ------- | ---------- | | LANDARC | | #### 1262 ##### term 1262 ##### gpa 3.25 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | LANDARC | | ### benchmarks #### all ##### school ###### size 3353 ###### gpa 3.686577768646526 ###### top Share 83.59522411144835 ###### count 136 ##### LANDARC ###### size 20 ###### gpa 3.620117766750051 ###### top Share 81.2173799195654 ###### count 117 #### terms ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ## instructor Trends ```json [ { "uid": "instructor_78b305d1f4a032276bf3138f", "name": "JACOB BLUE", "count": 71, "terms": [ { "term": "1192", "count": 10, "sections": 1, "gpa": 3.5 }, { "term": "1202", "count": 11, "sections": 1, "gpa": 3.5454545454545454 }, { "term": "1212", "count": 12, "sections": 1, "gpa": 3.5833333333333335 }, { "term": "1222", "count": 13, "sections": 1, "gpa": 3.1538461538461537 }, { "term": "1232", "count": 13, "sections": 1, "gpa": 3.5384615384615383 }, { "term": "1242", "count": 12, "sections": 1, "gpa": 3.75 } ] }, { "uid": "instructor_188efefbedb7e6950c43759d", "name": "SHU SUN", "count": 43, "terms": [ { "term": "1242", "count": 12, "sections": 1, "gpa": 3.75 }, { "term": "1252", "count": 31, "sections": 1, "gpa": 3.6129032258064515 } ] }, { "uid": "instructor_6c81a8abda5056bd3567a8e7", "name": "JINYE DU", "count": 31, "terms": [ { "term": "1252", "count": 31, "sections": 1, "gpa": 3.6129032258064515 } ] }, { "uid": "instructor_40d67578a429c8ea238609aa", "name": "WENWEN CHENG", "count": 24, "terms": [ { "term": "1262", "count": 24, "sections": 1, "gpa": 3.25 } ] } ] ``` ## following None recorded.