# REALEST 411: Real Estate Excel Modeling | UW–Madison [View on UW Courses](https://uwcourses.com/courses/REALEST_411) ## 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 96b9a15bebbde68f984d99a2fe2abba55e798ac0d8eaf7bbbbfbb97ed1c15f7a ### course id REALEST 411 ### course uid course\_3de8425e363ca26bc0a03fc3 ### catalog version id 4cd97be082ddd7b7ea08ece354c4d0dbaea4da19892c7d98d90b37b628844cbd ### course number 411 ### subjects * REALEST ### title REAL ESTATE EXCEL MODELING ### description Introduction to real estate modeling. Building a real estate model for acquisition and development transactions for residential and commercial real estate using Excel. How to source market data, draw assumptions from market data, input assumptions, make decisions using reports, perform sensitivity analysis on model inputs, and explain terminology used in residential and commercial real estate. ### requirements text REAL EST 410,710, or concurrent enrollment ### credits min 1 ### credits max 1 ### credit offering ids * 1272:239:025846 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id f18472cf5c0df0d4259d4d94c35f4443a54edb3214094c72c4b195f624798313 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduction to real estate modeling using Excel for acquisition and development transactions. ### llm topics * Acquisition and development transactions. * Sensitivity analysis. * Real estate terminology. ### llm skills * Building real estate models in Excel for acquisition and development. * Sourcing market data and formulating modeling assumptions. * Performing sensitivity analysis on model inputs. * Explaining residential and commercial real estate terminology. ### llm assumed background * Foundations in real estate finance, investment analysis, and cash flow projection. ### llm search phrases * real estate excel modeling * REALEST 411 prerequisites * real estate acquisition model * commercial real estate sensitivity analysis ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 867a47728176b3f9087bf4350bc07dd4354c7d3f18d6e89a67bcc5d25becedc6 #### course id REALEST 411 #### current instructors ```json [ { "instructor_uid": "instructor_c575323f7d4f16c16f77ee27", "message": "No course-specific reviews available", "name": "Michael Schlicting", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2651609", "summary": [] } ] ``` #### 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 — Spring 2025: 3.38 GPA, 58.6% A/AB (n=70 letter grades); Fall 2025: 3.45 GPA, 69.7% A/AB (n=155 letter grades); Spring 2026: 3.60 GPA, 82.1% A/AB (n=56 letter grades). ```json { "citations": [ { "course_id": "REALEST 411", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "cebb3c2a-f0ac-3214-8708-47895ec7ca51", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "REALEST 411", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "cebb3c2a-f0ac-3214-8708-47895ec7ca51", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "REALEST 411", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "cebb3c2a-f0ac-3214-8708-47895ec7ca51", "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" ], "condition": null, "course": null, "evidence": "REAL EST 410,710, or concurrent enrollment", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 410, "minimum_grade": null, "subjects": [ "REALEST" ], "timing": "prior" }, "evidence": "REAL EST 410", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 710, "minimum_grade": null, "subjects": [ "REALEST" ], "timing": "prior_or_concurrent" }, "evidence": "710, or concurrent enrollment", "id": "n2", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_c575323f7d4f16c16f77ee27", "source": "enrollment", "source_instructor_id": "schlicting", "identity_basis": "netid", "identity_status": "source_identified", "name": "Michael Schlicting", "email": "SCHLICTING@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", "ratings": { "review_count": 12, "quality": 4.33, "difficulty": 2.83, "quality_count": 12, "difficulty_count": 12, "profile_id": "rmp:2651609", "source_url": "https://www.ratemyprofessors.com/professor/2651609", "match_basis": "exact_name", "observed_at": "2026-09-07 16:17:33.150633+00:00", "courses": { "course_663c33025162a8b95c22d58e": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.9110536147166224, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MICHAEL_SCHLICTING" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:239:025846", "course_id": "REALEST 411", "course_uid": "course_3de8425e363ca26bc0a03fc3", "term_id": "1272", "source_course_id": "025846", "source_subject_id": "239", "title": "Real Estate Excel Modeling", "credits_min": 1, "credits_max": 1, "typically_offered": "Not Applicable" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:31252", "term_id": "1272", "source_section_id": "31252", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 114, "enrolled": 113, "waitlisted": 3, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-11-08 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:31253", "term_id": "1272", "source_section_id": "31253", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 114, "enrolled": 106, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-11-08 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_32212d215433957834e16b3b", "source": "madgrades", "source_instructor_id": "520440", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ARIF QURESHI", "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": 21, "quality": 4, "difficulty": 3.62, "quality_count": 21, "difficulty_count": 21, "profile_id": "rmp:1948671", "source_url": "https://www.ratemyprofessors.com/professor/1948671", "match_basis": "exact_name", "observed_at": "2026-09-07 16:54:14.478562+00:00", "courses": {}, "bayesian_quality": 3.8339930651446807, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.564, "graded": 3478, "counts": [ 1602, 1049, 618, 148, 45, 3, 13 ], "sections": 147 }, "instructor_url": "/instructors/ARIF_QURESHI--instructor_32212d215433957834e16b3b" }, { "instructor_uid": "instructor_0125ca9d1215bc2551815507", "source": "madgrades", "source_instructor_id": "6549796", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TIM CARR", "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": 3.805, "graded": 266, "counts": [ 203, 39, 15, 3, 5, 1, 0 ], "sections": 7 }, "instructor_url": "/instructors/TIM_CARR--instructor_0125ca9d1215bc2551815507" }, { "instructor_uid": "instructor_99619f2e7756f246f8b962f0", "source": "madgrades", "source_instructor_id": "453809", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PAUL AYLESWORTH", "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": 3.545, "graded": 290, "counts": [ 130, 91, 49, 11, 7, 1, 1 ], "sections": 10 }, "instructor_url": "/instructors/PAUL_AYLESWORTH--instructor_99619f2e7756f246f8b962f0" }, { "instructor_uid": "instructor_c575323f7d4f16c16f77ee27", "source": "enrollment", "source_instructor_id": "schlicting", "identity_basis": "netid", "identity_status": "source_identified", "name": "Michael Schlicting", "email": "SCHLICTING@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", "ratings": { "review_count": 12, "quality": 4.33, "difficulty": 2.83, "quality_count": 12, "difficulty_count": 12, "profile_id": "rmp:2651609", "source_url": "https://www.ratemyprofessors.com/professor/2651609", "match_basis": "exact_name", "observed_at": "2026-09-07 16:17:33.150633+00:00", "courses": { "course_663c33025162a8b95c22d58e": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.9110536147166224, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MICHAEL_SCHLICTING" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "REALEST 411", "course_uid": "course_3de8425e363ca26bc0a03fc3", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "ARIF QURESHI" ], "a": 46, "ab": 37, "b": 40, "bc": 12, "c": 4, "d": 0, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 141, "source_aliases": [ "REALEST 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "REALEST 411", "course_uid": "course_3de8425e363ca26bc0a03fc3", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "ARIF QURESHI" ], "a": 24, "ab": 24, "b": 18, "bc": 7, "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": 74, "source_aliases": [ "REALEST 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "REALEST 411", "course_uid": "course_3de8425e363ca26bc0a03fc3", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "ARIF QURESHI", "Tim Carr" ], "a": 100, "ab": 55, "b": 43, "bc": 10, "c": 3, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 212, "source_aliases": [ "REALEST 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "REALEST 411", "course_uid": "course_3de8425e363ca26bc0a03fc3", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "ARIF QURESHI" ], "a": 29, "ab": 12, "b": 19, "bc": 7, "c": 2, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 70, "source_aliases": [ "REALEST 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "REALEST 411", "course_uid": "course_3de8425e363ca26bc0a03fc3", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Paul Aylesworth" ], "a": 56, "ab": 52, "b": 34, "bc": 6, "c": 6, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 155, "source_aliases": [ "REALEST 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "REALEST 411", "course_uid": "course_3de8425e363ca26bc0a03fc3", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Paul Aylesworth" ], "a": 24, "ab": 22, "b": 7, "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": 56, "source_aliases": [ "REALEST 411" ] } ] ``` ### statistics #### gpa 3.463 #### graded 708 #### counts * 279 * 202 * 161 * 45 * 16 * 1 * 4 ### grade conflicts None recorded. ### evidence #### history * 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3.4625706214689265 #### count 708 #### university ##### size 3801 ##### gpa Percentile 19 ##### count Percentile 93 ##### median Count 100 ##### 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 | 209 | false | | 3.2–3.6 | 936 | true | | 3.6–4.0 | 2644 | false | #### departments ```json [ { "subject": "REALEST", "comparison": { "size": 24, "gpaPercentile": 13, "countPercentile": 87, "medianCount": 184.5, "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": 8, "current": true }, { "range": "3.6–4.0", "count": 16, "current": false } ] } } ] ``` ### terms #### 1242 ##### term 1242 ##### gpa 3.3439716312056738 ##### count 141 ##### university ###### size 1295 ###### gpa Percentile 23 ###### count Percentile 79 ###### 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 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | true | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "REALEST", "comparison": { "size": 13, "gpaPercentile": 8, "countPercentile": 75, "medianCount": 85, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.425675675675676 ##### count 74 ##### university ###### size 1241 ###### gpa Percentile 27 ###### count Percentile 56 ###### median Count 65 ###### 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 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | true | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "REALEST", "comparison": { "size": 15, "gpaPercentile": 29, "countPercentile": 64, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.5542452830188678 ##### count 212 ##### university ###### size 1333 ###### gpa Percentile 38 ###### count Percentile 87 ###### 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 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "REALEST", "comparison": { "size": 13, "gpaPercentile": 42, "countPercentile": 92, "medianCount": 120, "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": 7, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.3785714285714286 ##### count 70 ##### university ###### size 1289 ###### gpa Percentile 22 ###### count Percentile 52 ###### 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 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "REALEST", "comparison": { "size": 14, "gpaPercentile": 0, "countPercentile": 46, "medianCount": 72.5, "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": 7, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.4516129032258065 ##### count 155 ##### university ###### size 1320 ###### gpa Percentile 26 ###### count Percentile 81 ###### median Count 70 ###### 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 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | true | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "REALEST", "comparison": { "size": 11, "gpaPercentile": 50, "countPercentile": 70, "medianCount": 129, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.5982142857142856 ##### count 56 ##### university ###### size 1283 ###### gpa Percentile 38 ###### count Percentile 41 ###### 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 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | true | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "REALEST", "comparison": { "size": 10, "gpaPercentile": 44, "countPercentile": 22, "medianCount": 84.5, "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": 5, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 3801 ###### gpa 3.6947140786559496 ###### top Share 84.06396268479713 ###### count 100 ##### REALEST ###### size 24 ###### gpa 3.6504782703804444 ###### top Share 82.21326352819379 ###### count 184.5 #### terms ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### REALEST ###### size 13 ###### gpa 3.488539015225787 ###### top Share 70.72937356976098 ###### count 85 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### REALEST ###### size 15 ###### gpa 3.5774675799670566 ###### top Share 75.64175493354377 ###### count 50 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### REALEST ###### size 13 ###### gpa 3.5824642519384393 ###### top Share 79.13903612379207 ###### count 120 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### REALEST ###### size 14 ###### gpa 3.666900217521707 ###### top Share 82.50522639518604 ###### count 72.5 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### REALEST ###### size 11 ###### gpa 3.472414253981282 ###### top Share 71.10634299203417 ###### count 129 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### REALEST ###### size 10 ###### gpa 3.6564505757519656 ###### top Share 83.19777602692389 ###### count 84.5 ## instructor Trends ```json [ { "uid": "instructor_32212d215433957834e16b3b", "name": "ARIF QURESHI", "count": 463, "terms": [ { "term": "1242", "count": 141, "sections": 2, "gpa": 3.3439716312056738 }, { "term": "1244", "count": 74, "sections": 1, "gpa": 3.425675675675676 }, { "term": "1252", "count": 178, "sections": 2, "gpa": 3.533707865168539 }, { "term": "1254", "count": 70, "sections": 1, "gpa": 3.3785714285714286 } ] }, { "uid": "instructor_99619f2e7756f246f8b962f0", "name": "PAUL AYLESWORTH", "count": 211, "terms": [ { "term": "1262", "count": 155, "sections": 2, "gpa": 3.4516129032258065 }, { "term": "1264", "count": 56, "sections": 1, "gpa": 3.5982142857142856 } ] }, { "uid": "instructor_0125ca9d1215bc2551815507", "name": "TIM CARR", "count": 34, "terms": [ { "term": "1252", "count": 34, "sections": 1, "gpa": 3.661764705882353 } ] } ] ``` ## following | code | title | | ----------- | ------------------------------------------------ | | REALEST 415 | VALUATION OF REAL ESTATE | | REALEST 661 | REAL ESTATE INVESTMENT ANALYSIS AND PRESENTATION | ## projection ### target 1272 ### gpa 3.4570290875461196 ### grades | grade | percentage | | ----- | ------------------- | | A | 38.829636860156455 | | AB | 29.138291114361074 | | B | 23.081117759877742 | | BC | 5.3653119500959665 | | C | 2.7945270698823887 | | D | 0.15465511908444166 | | F | 0.636460126541925 | ### source Terms * 1262 * 1252 * 1242 ### source Count 508 ### same Season true ### historical Range * 3.3439716312056738 * 3.5542452830188678