# Statistics Prerequisite Map | UW–Madison

[View on UW Courses](https://uwcourses.com/explorer/STAT)

## 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    |

## subject

STAT

## graph

### courses

```json
[
  {
    "uid": "course_09c6ee1bc749ac38c1a7d335",
    "code": "ACTSCI 640",
    "title": "ACTUARIAL STATISTICS FOR RISK MODELING",
    "subjects": [
      "ACTSCI"
    ]
  },
  {
    "uid": "course_9ea08d141645e8e3a95d2869",
    "code": "BME 325",
    "title": "APPLIED STATISTICS FOR BIOMEDICAL ENGINEERS",
    "subjects": [
      "BME"
    ]
  },
  {
    "uid": "course_4c67a24aa1091c6bb6189230",
    "code": "BMI/STAT 541",
    "title": "INTRODUCTION TO BIOSTATISTICS",
    "subjects": [
      "BMI",
      "STAT"
    ]
  },
  {
    "uid": "course_f65bd7d1b084402c126909a1",
    "code": "BMI/STAT 542",
    "title": "INTRODUCTION TO CLINICAL TRIALS I",
    "subjects": [
      "BMI",
      "STAT"
    ]
  },
  {
    "uid": "course_f000d2378eb20611ff89e7ea",
    "code": "BMI/STAT 620",
    "title": "STATISTICS IN HUMAN GENETICS",
    "subjects": [
      "BMI",
      "STAT"
    ]
  },
  {
    "uid": "course_c179c651b76ad0f0b88c6e70",
    "code": "BMI/STAT 641",
    "title": "STATISTICAL METHODS FOR CLINICAL TRIALS",
    "subjects": [
      "BMI",
      "STAT"
    ]
  },
  {
    "uid": "course_e73c9a59de8d40d953f69d9a",
    "code": "BMI/STAT 642",
    "title": "STATISTICAL METHODS FOR EPIDEMIOLOGY",
    "subjects": [
      "BMI",
      "STAT"
    ]
  },
  {
    "uid": "course_c5d94f1c1684c61fc99a1422",
    "code": "BMI/STAT 643",
    "title": "CLINICAL TRIAL DESIGN, IMPLEMENTATION, AND ANALYSIS",
    "subjects": [
      "BMI",
      "STAT"
    ]
  },
  {
    "uid": "course_7ee7d113f019ab01285276bf",
    "code": "BMI/STAT 727",
    "title": "THEORY AND METHODS OF LONGITUDINAL DATA ANALYSIS",
    "subjects": [
      "BMI",
      "STAT"
    ]
  },
  {
    "uid": "course_205a912326809f2965b4d516",
    "code": "BMI/STAT 741",
    "title": "SURVIVAL ANALYSIS THEORY AND METHODS",
    "subjects": [
      "BMI",
      "STAT"
    ]
  },
  {
    "uid": "course_c1415f2a79d6bcb7933050a8",
    "code": "BMI/STAT 768",
    "title": "STATISTICAL METHODS FOR MEDICAL IMAGE ANALYSIS",
    "subjects": [
      "BMI",
      "STAT"
    ]
  },
  {
    "uid": "course_050cac70b4ff0bdca35ecad4",
    "code": "BMI/STAT 828",
    "title": "SEMIPARAMETRIC METHODS IN DATA SCIENCE",
    "subjects": [
      "BMI",
      "STAT"
    ]
  },
  {
    "uid": "course_b5139d57a771c9b1231f53b8",
    "code": "BMI/STAT 877",
    "title": "STATISTICAL METHODS FOR MOLECULAR BIOLOGY",
    "subjects": [
      "BMI",
      "STAT"
    ]
  },
  {
    "uid": "course_dd2827718d9254cf91326619",
    "code": "C&ESOC/SOC 360",
    "title": "STATISTICS FOR SOCIOLOGISTS I",
    "subjects": [
      "C&ESOC",
      "SOC"
    ]
  },
  {
    "uid": "course_9b1d5f832c492d1c4a3ce19c",
    "code": "COMPSCI 200",
    "title": "PROGRAMMING I",
    "subjects": [
      "COMPSCI"
    ]
  },
  {
    "uid": "course_834bc468ca49d8090d0f211f",
    "code": "COMPSCI 220",
    "title": "DATA SCIENCE PROGRAMMING I",
    "subjects": [
      "COMPSCI"
    ]
  },
  {
    "uid": "course_28c3390ba944d49fd17f7c72",
    "code": "COMPSCI 300",
    "title": "PROGRAMMING II",
    "subjects": [
      "COMPSCI"
    ]
  },
  {
    "uid": "course_a7ce5ee394c07ac642067916",
    "code": "COMPSCI/ECE 761",
    "title": "MATHEMATICAL FOUNDATIONS OF MACHINE LEARNING",
    "subjects": [
      "COMPSCI",
      "ECE"
    ]
  },
  {
    "uid": "course_f84cce2e31d7170db5bc7b84",
    "code": "COMPSCI/ECE/STAT 861",
    "title": "THEORETICAL FOUNDATIONS OF MACHINE LEARNING",
    "subjects": [
      "COMPSCI",
      "ECE",
      "STAT"
    ]
  },
  {
    "uid": "course_a04e8d794b24e3b81b984774",
    "code": "COMPSCI/ISYE/MATH/STAT 525",
    "title": "LINEAR OPTIMIZATION",
    "subjects": [
      "COMPSCI",
      "ISYE",
      "MATH",
      "STAT"
    ]
  },
  {
    "uid": "course_639b02029dbf953b9704cd63",
    "code": "COMPSCI/ISYE/MATH/STAT 726",
    "title": "NONLINEAR OPTIMIZATION I",
    "subjects": [
      "COMPSCI",
      "ISYE",
      "MATH",
      "STAT"
    ]
  },
  {
    "uid": "course_70ffeadbfc5508e687b0b5e2",
    "code": "COMPSCI/LIS/STAT 401",
    "title": "UNDERGRADUATE COOPERATIVE EDUCATION",
    "subjects": [
      "COMPSCI",
      "LIS",
      "STAT"
    ]
  },
  {
    "uid": "course_63c43e7ac8225e2773df74d8",
    "code": "COMPSCI/MATH/STAT 475",
    "title": "INTRODUCTION TO COMBINATORICS",
    "subjects": [
      "COMPSCI",
      "MATH",
      "STAT"
    ]
  },
  {
    "uid": "course_c2e6061930ed37ee952c1060",
    "code": "COMPSCI/STAT 403",
    "title": "INTERNSHIP COURSE IN COMP SCI AND DATA SCIENCE",
    "subjects": [
      "COMPSCI",
      "STAT"
    ]
  },
  {
    "uid": "course_8f1b73751758944263fbb9e1",
    "code": "COMPSCI/STAT 471",
    "title": "INTRODUCTION TO COMPUTATIONAL STATISTICS",
    "subjects": [
      "COMPSCI",
      "STAT"
    ]
  },
  {
    "uid": "course_41d1928ddf8536080547d0f0",
    "code": "ECE/MATH/STAT 888",
    "title": "TOPICS IN MATHEMATICAL DATA SCIENCE",
    "subjects": [
      "ECE",
      "MATH",
      "STAT"
    ]
  },
  {
    "uid": "course_e104fb600738e5af6d58c4dd",
    "code": "ECON 310",
    "title": "STATISTICS: MEASUREMENT IN ECONOMICS",
    "subjects": [
      "ECON"
    ]
  },
  {
    "uid": "course_45144ea1ab61fccd3dc0a3f6",
    "code": "ECON 410",
    "title": "INTRODUCTORY ECONOMETRICS",
    "subjects": [
      "ECON"
    ]
  },
  {
    "uid": "course_43ec9cdd7f32ec7681ab5d71",
    "code": "ECON 709",
    "title": "ECONOMIC STATISTICS AND ECONOMETRICS I",
    "subjects": [
      "ECON"
    ]
  },
  {
    "uid": "course_1946b63ab745477aa4576b0b",
    "code": "ECON/GENBUS/STAT 775",
    "title": "BAYESIAN STATISTICS",
    "subjects": [
      "ECON",
      "GENBUS",
      "STAT"
    ]
  },
  {
    "uid": "course_72cc7ddf48330b71523f309f",
    "code": "F&WECOL/STAT 571",
    "title": "STATISTICAL METHODS FOR BIOSCIENCE I",
    "subjects": [
      "F&WECOL",
      "STAT"
    ]
  },
  {
    "uid": "course_4dd38bb021601e5dff558ba1",
    "code": "F&WECOL/STAT 572",
    "title": "STATISTICAL METHODS FOR BIOSCIENCE II",
    "subjects": [
      "F&WECOL",
      "STAT"
    ]
  },
  {
    "uid": "course_801a8dc807b21e1c6c93cc3f",
    "code": "GENBUS 306",
    "title": "BUSINESS ANALYTICS I",
    "subjects": [
      "GENBUS"
    ]
  },
  {
    "uid": "course_412bfa78215919930228ef5e",
    "code": "GENBUS 307",
    "title": "BUSINESS ANALYTICS II",
    "subjects": [
      "GENBUS"
    ]
  },
  {
    "uid": "course_3f32a30c0076803c25219bbc",
    "code": "GENBUS 317",
    "title": "MATHEMATICAL FOUNDATIONS OF BUSINESS ANALYTICS",
    "subjects": [
      "GENBUS"
    ]
  },
  {
    "uid": "course_874e30b1d4fa32884aa74250",
    "code": "GENBUS 656",
    "title": "FOUNDATIONS OF STATISTICAL LEARNING FOR BUSINESS ANALYTICS",
    "subjects": [
      "GENBUS"
    ]
  },
  {
    "uid": "course_75474c11dc2b9f0b6f591be5",
    "code": "ISYE 210",
    "title": "INTRODUCTION TO INDUSTRIAL STATISTICS",
    "subjects": [
      "ISYE"
    ]
  },
  {
    "uid": "course_c602622d732dbbc9aceeeddf",
    "code": "ISYE/MATH/OTM/STAT 632",
    "title": "INTRODUCTION TO STOCHASTIC PROCESSES",
    "subjects": [
      "ISYE",
      "MATH",
      "OTM",
      "STAT"
    ]
  },
  {
    "uid": "course_9b0dc1865ea603eb0083bc33",
    "code": "MATH 211",
    "title": "SURVEY OF CALCULUS 1",
    "subjects": [
      "MATH"
    ]
  },
  {
    "uid": "course_cc1de60e9953cdd9c469e9a5",
    "code": "MATH 221",
    "title": "CALCULUS AND ANALYTIC GEOMETRY 1",
    "subjects": [
      "MATH"
    ]
  },
  {
    "uid": "course_8634dde81cc95f6c58014087",
    "code": "MATH 234",
    "title": "CALCULUS--FUNCTIONS OF SEVERAL VARIABLES",
    "subjects": [
      "MATH"
    ]
  },
  {
    "uid": "course_0002a781bc9543f3a2ac1a94",
    "code": "MATH 320",
    "title": "LINEAR ALGEBRA AND DIFFERENTIAL EQUATIONS",
    "subjects": [
      "MATH"
    ]
  },
  {
    "uid": "course_cd8a47c5c8808c1cc3427d87",
    "code": "MATH 321",
    "title": "APPLIED MATHEMATICAL ANALYSIS 1: VECTOR AND COMPLEX CALCULUS",
    "subjects": [
      "MATH"
    ]
  },
  {
    "uid": "course_5d5f3a3f185baf9eaaa98221",
    "code": "MATH 331",
    "title": "INTRODUCTORY PROBABILITY",
    "subjects": [
      "MATH"
    ]
  },
  {
    "uid": "course_eec4aae06b946a73f1878be4",
    "code": "MATH 340",
    "title": "ELEMENTARY MATRIX AND LINEAR ALGEBRA",
    "subjects": [
      "MATH"
    ]
  },
  {
    "uid": "course_fa53f4954bab469b5d4c4fe3",
    "code": "MATH 341",
    "title": "LINEAR ALGEBRA",
    "subjects": [
      "MATH"
    ]
  },
  {
    "uid": "course_2e0053b739243eda32fb0fc2",
    "code": "MATH 345",
    "title": "LINEAR ALGEBRA AND OPTIMIZATION",
    "subjects": [
      "MATH"
    ]
  },
  {
    "uid": "course_5d98ff5f6adce2207e394dc6",
    "code": "MATH 375",
    "title": "TOPICS IN MULTI-VARIABLE CALCULUS AND LINEAR ALGEBRA",
    "subjects": [
      "MATH"
    ]
  },
  {
    "uid": "course_be7b0773bc9d040384a6a3ce",
    "code": "MATH 376",
    "title": "TOPICS IN MULTI-VARIABLE CALCULUS AND DIFFERENTIAL EQUATIONS",
    "subjects": [
      "MATH"
    ]
  },
  {
    "uid": "course_4aa5bbed0c86993f5f0dc832",
    "code": "MATH 421",
    "title": "THE THEORY OF SINGLE VARIABLE CALCULUS",
    "subjects": [
      "MATH"
    ]
  },
  {
    "uid": "course_6a5fd6b22fd05d58426ea680",
    "code": "MATH 443",
    "title": "APPLIED LINEAR ALGEBRA",
    "subjects": [
      "MATH"
    ]
  },
  {
    "uid": "course_e0a93fa3466c39b6802e52a7",
    "code": "MATH 531",
    "title": "PROBABILITY THEORY",
    "subjects": [
      "MATH"
    ]
  },
  {
    "uid": "course_2a00c702ff402614a950606e",
    "code": "MATH/STAT 309",
    "title": "INTRODUCTION TO PROBABILITY AND MATHEMATICAL STATISTICS I",
    "subjects": [
      "MATH",
      "STAT"
    ]
  },
  {
    "uid": "course_e593b86c370a0c671af794df",
    "code": "MATH/STAT 310",
    "title": "INTRODUCTION TO PROBABILITY AND MATHEMATICAL STATISTICS II",
    "subjects": [
      "MATH",
      "STAT"
    ]
  },
  {
    "uid": "course_6497b5150500f31e6a392881",
    "code": "MATH/STAT 409",
    "title": "PROBABILITY AND STATISTICAL THEORY I",
    "subjects": [
      "MATH",
      "STAT"
    ]
  },
  {
    "uid": "course_dcdb624e3fb8cbaf9a557ab9",
    "code": "MATH/STAT 431",
    "title": "INTRODUCTION TO THE THEORY OF PROBABILITY",
    "subjects": [
      "MATH",
      "STAT"
    ]
  },
  {
    "uid": "course_3aa77a7c307c944aec9fad7e",
    "code": "MATH/STAT 709",
    "title": "MATHEMATICAL STATISTICS I",
    "subjects": [
      "MATH",
      "STAT"
    ]
  },
  {
    "uid": "course_469a63c602d4b2142aecf9de",
    "code": "MATH/STAT 710",
    "title": "MATHEMATICAL STATISTICS II",
    "subjects": [
      "MATH",
      "STAT"
    ]
  },
  {
    "uid": "course_b533f0f6b5fef2c11c4fa06c",
    "code": "MATH/STAT 733",
    "title": "THEORY OF PROBABILITY I",
    "subjects": [
      "MATH",
      "STAT"
    ]
  },
  {
    "uid": "course_436b4b4087325a19ccd87bd6",
    "code": "MATH/STAT 734",
    "title": "THEORY OF PROBABILITY II",
    "subjects": [
      "MATH",
      "STAT"
    ]
  },
  {
    "uid": "course_4cd8f65ba912b626a3350604",
    "code": "MATH/STAT 803",
    "title": "EXPERIMENTAL DESIGN I",
    "subjects": [
      "MATH",
      "STAT"
    ]
  },
  {
    "uid": "course_34813ad8a06d723b51c96f60",
    "code": "MATH/STAT 833",
    "title": "TOPICS IN THE THEORY OF PROBABILITY",
    "subjects": [
      "MATH",
      "STAT"
    ]
  },
  {
    "uid": "course_9947f9fb5134c87cfa7bdef3",
    "code": "POLISCI 818",
    "title": "MAXIMUM LIKELIHOOD ESTIMATION",
    "subjects": [
      "POLISCI"
    ]
  },
  {
    "uid": "course_2b59ae9c5e9641dfdbd15861",
    "code": "PSYCH 210",
    "title": "BASIC STATISTICS FOR PSYCHOLOGY",
    "subjects": [
      "PSYCH"
    ]
  },
  {
    "uid": "course_03f8aaae24bac7658b319ca8",
    "code": "STAT 240",
    "title": "DATA SCIENCE MODELING I",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_bf80347054c4234ada79c07e",
    "code": "STAT 301",
    "title": "INTRODUCTION TO STATISTICAL METHODS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_9d705456a9a3f278c1b60cc6",
    "code": "STAT 303",
    "title": "R FOR STATISTICS I",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_2364ea4d92955fbad9988956",
    "code": "STAT 304",
    "title": "R FOR STATISTICS II",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_b39b93337ad24a2a65ba3267",
    "code": "STAT 305",
    "title": "R FOR STATISTICS III",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_1b76508145789f8fbc49d1fa",
    "code": "STAT 311",
    "title": "INTRODUCTION TO THEORY AND METHODS OF MATHEMATICAL STATISTICS I",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_24942ca6acb3a153de2907d5",
    "code": "STAT 312",
    "title": "INTRODUCTION TO THEORY AND METHODS OF MATHEMATICAL STATISTICS II",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_06abb97e9793bf858754daa3",
    "code": "STAT 324",
    "title": "INTRODUCTION TO STATISTICS FOR SCIENCE AND ENGINEERING",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_ef9c9cd4a7d8002288a4cf7c",
    "code": "STAT 333",
    "title": "APPLIED REGRESSION ANALYSIS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_d2d0c15e32bd1631a6074548",
    "code": "STAT 340",
    "title": "DATA SCIENCE MODELING II",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_f01b96472a8cdb3029148ea7",
    "code": "STAT 349",
    "title": "INTRODUCTION TO TIME SERIES",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_e960d322d17638a03f3d8a4b",
    "code": "STAT 351",
    "title": "INTRODUCTORY NONPARAMETRIC STATISTICS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_fee85344785a811195b47118",
    "code": "STAT 360",
    "title": "STUDY ABROAD: TOPICS IN STATISTICS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_2629afba87c8ec95e86db932",
    "code": "STAT 361",
    "title": "STUDY ABROAD: DATA SCIENCE",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_31fb5b7b6bf20ca63e33bd46",
    "code": "STAT 371",
    "title": "INTRODUCTORY APPLIED STATISTICS FOR THE LIFE SCIENCES",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_a420e635de610c245d2c3002",
    "code": "STAT 405",
    "title": "DATA SCIENCE COMPUTING PROJECT",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_6b7aab75b588f1c0195bbee5",
    "code": "STAT 411",
    "title": "AN INTRODUCTION TO SAMPLE SURVEY THEORY AND METHODS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_096be5272e913d9005e3298b",
    "code": "STAT 421",
    "title": "APPLIED CATEGORICAL DATA ANALYSIS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_3c746e3add116a6aa2b49441",
    "code": "STAT 424",
    "title": "STATISTICAL EXPERIMENTAL DESIGN",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_c7a9aed08e9193ac68e21e89",
    "code": "STAT 433",
    "title": "DATA SCIENCE WITH R",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_f57701752c565e5b0c704a1d",
    "code": "STAT 436",
    "title": "STATISTICAL DATA VISUALIZATION",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_8d768d8674fd0a5a6e68752e",
    "code": "STAT 441",
    "title": "ADVANCED SPORTS ANALYTICS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_bbb14bdd283ccb9368b888c2",
    "code": "STAT 443",
    "title": "CLASSIFICATION AND REGRESSION TREES",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_64851c516bf8195a88f81cc4",
    "code": "STAT 451",
    "title": "INTRODUCTION TO MACHINE LEARNING AND STATISTICAL PATTERN CLASSIFICATION",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_b9ca05f3e5db5af2eb30f64a",
    "code": "STAT 453",
    "title": "INTRODUCTION TO DEEP LEARNING AND GENERATIVE MODELS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_1ea543c8a9e3b7f76f3a2d83",
    "code": "STAT 456",
    "title": "APPLIED MULTIVARIATE ANALYSIS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_c3af14b05ef6845e7d2ecd4d",
    "code": "STAT 461",
    "title": "FINANCIAL STATISTICS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_1282dc8dbc1e7c5749f7cc41",
    "code": "STAT 479",
    "title": "SPECIAL TOPICS IN STATISTICS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_60dd4194a1aff4f2fbca49f8",
    "code": "STAT 575",
    "title": "STATISTICAL METHODS FOR SPATIAL DATA",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_0cdbe47e9cba33b1c1a28e66",
    "code": "STAT 601",
    "title": "STATISTICAL METHODS I",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_d2bc347ed5e5c07178b1f567",
    "code": "STAT 602",
    "title": "STATISTICAL METHODS II",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_6fd1a9b69697ce26f5edccf4",
    "code": "STAT 605",
    "title": "DATA SCIENCE COMPUTING PROJECT",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_cdc21e46ef21cd0cb632076c",
    "code": "STAT 606",
    "title": "COMPUTING IN DATA SCIENCE AND STATISTICS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_c12730b42971bfae90899021",
    "code": "STAT 609",
    "title": "MATHEMATICAL STATISTICS I",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_2c47f118c8b20b84e9ca9d5d",
    "code": "STAT 610",
    "title": "INTRODUCTION TO STATISTICAL INFERENCE",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_802dd3b68ec2677c556307b6",
    "code": "STAT 611",
    "title": "STATISTICAL MODELS FOR DATA SCIENCE",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_6aad5ab0349d79e4904f2259",
    "code": "STAT 612",
    "title": "STATISTICAL INFERENCE FOR DATA SCIENCE",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_a1fe6c313e2d8e871cc18f1f",
    "code": "STAT 613",
    "title": "STATISTICAL METHODS FOR DATA SCIENCE",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_a5f4446c2434cfcb1b7e6969",
    "code": "STAT 615",
    "title": "STATISTICAL LEARNING",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_463da44c0203fe6696731ba9",
    "code": "STAT 627",
    "title": "PROFESSIONAL SKILLS IN DATA SCIENCE",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_dec5d5852b060024b87f5ac8",
    "code": "STAT 628",
    "title": "DATA SCIENCE PRACTICUM",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_462ab8c045c884dbb190ece7",
    "code": "STAT 678",
    "title": "INTRODUCTION TO STATISTICAL CONSULTING",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_3b6b5ce408337da83e5e4e44",
    "code": "STAT 679",
    "title": "SPECIAL TOPICS IN STATISTICS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_bf82c77f0acedcdb0de970b4",
    "code": "STAT 681",
    "title": "SENIOR HONORS THESIS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_3d91752784346011d7b5d9e2",
    "code": "STAT 682",
    "title": "SENIOR HONORS THESIS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_5965ce360728c26c4408f6fe",
    "code": "STAT 698",
    "title": "DIRECTED STUDY",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_62341da3d7cd1db5f9ca5903",
    "code": "STAT 699",
    "title": "DIRECTED STUDY",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_98c8f7223e5e4f977f8032c8",
    "code": "STAT 701",
    "title": "APPLIED TIME SERIES ANALYSIS, FORECASTING AND CONTROL I",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_48d5b049e2f1db989ec13f12",
    "code": "STAT 703",
    "title": "GRADUATE INTERNSHIP EXPERIENCE",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_a115f821e881e05681802038",
    "code": "STAT 732",
    "title": "LARGE SAMPLE THEORY OF STATISTICAL INFERENCE",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_d587f29796241b1143ffbe4a",
    "code": "STAT 760",
    "title": "MULTIVARIATE ANALYSIS I",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_d6d3636bee72470ed21d4d06",
    "code": "STAT 761",
    "title": "DECISION TREES FOR MULTIVARIATE ANALYSIS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_c7c2e62609a7d096ae23e826",
    "code": "STAT 771",
    "title": "COMPUTATIONAL STATISTICS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_69ee62f597c97a8f5f9770b2",
    "code": "STAT 772",
    "title": "LINEAR RANDOMIZED ALGORITHMS FOR DATA SCIENCE",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_9b8b3606500d06264fde7efc",
    "code": "STAT 780",
    "title": "INTRODUCTION TO QUANTUM DATA SCIENCE",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_fba6804289777faee688db73",
    "code": "STAT 801",
    "title": "ADVANCED FINANCIAL STATISTICS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_41d94c2f46e05eb528d30ae4",
    "code": "STAT 841",
    "title": "NONPARAMETRIC STATISTICS AND MACHINE LEARNING METHODS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_33ae6065fb867f7eec7ff60c",
    "code": "STAT 849",
    "title": "ADVANCED STATISTICAL METHODS",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_15157a9824b07ad4185ab3f5",
    "code": "STAT 990",
    "title": "RESEARCH",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_821b8b9c055e8ecd0e25a516",
    "code": "STAT 992",
    "title": "SEMINAR",
    "subjects": [
      "STAT"
    ]
  },
  {
    "uid": "course_704c9a2365bd1c8bed22a552",
    "code": "STAT 998",
    "title": "STATISTICAL CONSULTING",
    "subjects": [
      "STAT"
    ]
  }
]
```

### edges

| source                           | target                           |
| -------------------------------- | -------------------------------- |
| course\_4c67a24aa1091c6bb6189230 | course\_f65bd7d1b084402c126909a1 |
| course\_ef9c9cd4a7d8002288a4cf7c | course\_f000d2378eb20611ff89e7ea |
| course\_d2d0c15e32bd1631a6074548 | course\_f000d2378eb20611ff89e7ea |
| course\_e593b86c370a0c671af794df | course\_c179c651b76ad0f0b88c6e70 |
| course\_e593b86c370a0c671af794df | course\_e73c9a59de8d40d953f69d9a |
| course\_c12730b42971bfae90899021 | course\_c5d94f1c1684c61fc99a1422 |
| course\_2c47f118c8b20b84e9ca9d5d | course\_c5d94f1c1684c61fc99a1422 |
| course\_c179c651b76ad0f0b88c6e70 | course\_c5d94f1c1684c61fc99a1422 |
| course\_2c47f118c8b20b84e9ca9d5d | course\_7ee7d113f019ab01285276bf |
| course\_a7ce5ee394c07ac642067916 | course\_f84cce2e31d7170db5bc7b84 |
| course\_0002a781bc9543f3a2ac1a94 | course\_a04e8d794b24e3b81b984774 |
| course\_eec4aae06b946a73f1878be4 | course\_a04e8d794b24e3b81b984774 |
| course\_fa53f4954bab469b5d4c4fe3 | course\_a04e8d794b24e3b81b984774 |
| course\_5d98ff5f6adce2207e394dc6 | course\_a04e8d794b24e3b81b984774 |
| course\_6a5fd6b22fd05d58426ea680 | course\_a04e8d794b24e3b81b984774 |
| course\_0002a781bc9543f3a2ac1a94 | course\_63c43e7ac8225e2773df74d8 |
| course\_eec4aae06b946a73f1878be4 | course\_63c43e7ac8225e2773df74d8 |
| course\_fa53f4954bab469b5d4c4fe3 | course\_63c43e7ac8225e2773df74d8 |
| course\_2e0053b739243eda32fb0fc2 | course\_63c43e7ac8225e2773df74d8 |
| course\_5d98ff5f6adce2207e394dc6 | course\_63c43e7ac8225e2773df74d8 |
| course\_e593b86c370a0c671af794df | course\_8f1b73751758944263fbb9e1 |
| course\_ef9c9cd4a7d8002288a4cf7c | course\_8f1b73751758944263fbb9e1 |
| course\_d2d0c15e32bd1631a6074548 | course\_8f1b73751758944263fbb9e1 |
| course\_c12730b42971bfae90899021 | course\_1946b63ab745477aa4576b0b |
| course\_2c47f118c8b20b84e9ca9d5d | course\_1946b63ab745477aa4576b0b |
| course\_802dd3b68ec2677c556307b6 | course\_1946b63ab745477aa4576b0b |
| course\_3aa77a7c307c944aec9fad7e | course\_1946b63ab745477aa4576b0b |
| course\_43ec9cdd7f32ec7681ab5d71 | course\_1946b63ab745477aa4576b0b |
| course\_9947f9fb5134c87cfa7bdef3 | course\_1946b63ab745477aa4576b0b |
| course\_a7ce5ee394c07ac642067916 | course\_1946b63ab745477aa4576b0b |
| course\_72cc7ddf48330b71523f309f | course\_4dd38bb021601e5dff558ba1 |
| course\_dcdb624e3fb8cbaf9a557ab9 | course\_c602622d732dbbc9aceeeddf |
| course\_2a00c702ff402614a950606e | course\_c602622d732dbbc9aceeeddf |
| course\_1b76508145789f8fbc49d1fa | course\_c602622d732dbbc9aceeeddf |
| course\_e0a93fa3466c39b6802e52a7 | course\_c602622d732dbbc9aceeeddf |
| course\_0002a781bc9543f3a2ac1a94 | course\_c602622d732dbbc9aceeeddf |
| course\_eec4aae06b946a73f1878be4 | course\_c602622d732dbbc9aceeeddf |
| course\_fa53f4954bab469b5d4c4fe3 | course\_c602622d732dbbc9aceeeddf |
| course\_2e0053b739243eda32fb0fc2 | course\_c602622d732dbbc9aceeeddf |
| course\_5d98ff5f6adce2207e394dc6 | course\_c602622d732dbbc9aceeeddf |
| course\_4aa5bbed0c86993f5f0dc832 | course\_c602622d732dbbc9aceeeddf |
| course\_8634dde81cc95f6c58014087 | course\_2a00c702ff402614a950606e |
| course\_be7b0773bc9d040384a6a3ce | course\_2a00c702ff402614a950606e |
| course\_2a00c702ff402614a950606e | course\_e593b86c370a0c671af794df |
| course\_1b76508145789f8fbc49d1fa | course\_e593b86c370a0c671af794df |
| course\_dcdb624e3fb8cbaf9a557ab9 | course\_e593b86c370a0c671af794df |
| course\_e0a93fa3466c39b6802e52a7 | course\_e593b86c370a0c671af794df |
| course\_03f8aaae24bac7658b319ca8 | course\_e593b86c370a0c671af794df |
| course\_bf80347054c4234ada79c07e | course\_e593b86c370a0c671af794df |
| course\_8634dde81cc95f6c58014087 | course\_dcdb624e3fb8cbaf9a557ab9 |
| course\_be7b0773bc9d040384a6a3ce | course\_dcdb624e3fb8cbaf9a557ab9 |
| course\_3aa77a7c307c944aec9fad7e | course\_469a63c602d4b2142aecf9de |
| course\_03f8aaae24bac7658b319ca8 | course\_9d705456a9a3f278c1b60cc6 |
| course\_bf80347054c4234ada79c07e | course\_9d705456a9a3f278c1b60cc6 |
| course\_24942ca6acb3a153de2907d5 | course\_9d705456a9a3f278c1b60cc6 |
| course\_06abb97e9793bf858754daa3 | course\_9d705456a9a3f278c1b60cc6 |
| course\_31fb5b7b6bf20ca63e33bd46 | course\_9d705456a9a3f278c1b60cc6 |
| course\_e593b86c370a0c671af794df | course\_9d705456a9a3f278c1b60cc6 |
| course\_e104fb600738e5af6d58c4dd | course\_9d705456a9a3f278c1b60cc6 |
| course\_801a8dc807b21e1c6c93cc3f | course\_9d705456a9a3f278c1b60cc6 |
| course\_412bfa78215919930228ef5e | course\_9d705456a9a3f278c1b60cc6 |
| course\_3f32a30c0076803c25219bbc | course\_9d705456a9a3f278c1b60cc6 |
| course\_2b59ae9c5e9641dfdbd15861 | course\_9d705456a9a3f278c1b60cc6 |
| course\_9ea08d141645e8e3a95d2869 | course\_9d705456a9a3f278c1b60cc6 |
| course\_75474c11dc2b9f0b6f591be5 | course\_9d705456a9a3f278c1b60cc6 |
| course\_dd2827718d9254cf91326619 | course\_9d705456a9a3f278c1b60cc6 |
| course\_9d705456a9a3f278c1b60cc6 | course\_2364ea4d92955fbad9988956 |
| course\_2364ea4d92955fbad9988956 | course\_b39b93337ad24a2a65ba3267 |
| course\_8634dde81cc95f6c58014087 | course\_1b76508145789f8fbc49d1fa |
| course\_be7b0773bc9d040384a6a3ce | course\_1b76508145789f8fbc49d1fa |
| course\_2a00c702ff402614a950606e | course\_24942ca6acb3a153de2907d5 |
| course\_1b76508145789f8fbc49d1fa | course\_24942ca6acb3a153de2907d5 |
| course\_dcdb624e3fb8cbaf9a557ab9 | course\_24942ca6acb3a153de2907d5 |
| course\_e0a93fa3466c39b6802e52a7 | course\_24942ca6acb3a153de2907d5 |
| course\_9b0dc1865ea603eb0083bc33 | course\_06abb97e9793bf858754daa3 |
| course\_cc1de60e9953cdd9c469e9a5 | course\_06abb97e9793bf858754daa3 |
| course\_03f8aaae24bac7658b319ca8 | course\_ef9c9cd4a7d8002288a4cf7c |
| course\_bf80347054c4234ada79c07e | course\_ef9c9cd4a7d8002288a4cf7c |
| course\_e104fb600738e5af6d58c4dd | course\_ef9c9cd4a7d8002288a4cf7c |
| course\_9d705456a9a3f278c1b60cc6 | course\_ef9c9cd4a7d8002288a4cf7c |
| course\_9b0dc1865ea603eb0083bc33 | course\_d2d0c15e32bd1631a6074548 |
| course\_cc1de60e9953cdd9c469e9a5 | course\_d2d0c15e32bd1631a6074548 |
| course\_03f8aaae24bac7658b319ca8 | course\_d2d0c15e32bd1631a6074548 |
| course\_ef9c9cd4a7d8002288a4cf7c | course\_f01b96472a8cdb3029148ea7 |
| course\_d2d0c15e32bd1631a6074548 | course\_f01b96472a8cdb3029148ea7 |
| course\_ef9c9cd4a7d8002288a4cf7c | course\_e960d322d17638a03f3d8a4b |
| course\_d2d0c15e32bd1631a6074548 | course\_e960d322d17638a03f3d8a4b |
| course\_03f8aaae24bac7658b319ca8 | course\_a420e635de610c245d2c3002 |
| course\_9d705456a9a3f278c1b60cc6 | course\_a420e635de610c245d2c3002 |
| course\_9b1d5f832c492d1c4a3ce19c | course\_a420e635de610c245d2c3002 |
| course\_834bc468ca49d8090d0f211f | course\_a420e635de610c245d2c3002 |
| course\_28c3390ba944d49fd17f7c72 | course\_a420e635de610c245d2c3002 |
| course\_ef9c9cd4a7d8002288a4cf7c | course\_6b7aab75b588f1c0195bbee5 |
| course\_d2d0c15e32bd1631a6074548 | course\_6b7aab75b588f1c0195bbee5 |
| course\_ef9c9cd4a7d8002288a4cf7c | course\_096be5272e913d9005e3298b |
| course\_d2d0c15e32bd1631a6074548 | course\_096be5272e913d9005e3298b |
| course\_e593b86c370a0c671af794df | course\_3c746e3add116a6aa2b49441 |
| course\_ef9c9cd4a7d8002288a4cf7c | course\_3c746e3add116a6aa2b49441 |
| course\_d2d0c15e32bd1631a6074548 | course\_3c746e3add116a6aa2b49441 |
| course\_03f8aaae24bac7658b319ca8 | course\_3c746e3add116a6aa2b49441 |
| course\_bf80347054c4234ada79c07e | course\_3c746e3add116a6aa2b49441 |
| course\_24942ca6acb3a153de2907d5 | course\_3c746e3add116a6aa2b49441 |
| course\_06abb97e9793bf858754daa3 | course\_3c746e3add116a6aa2b49441 |
| course\_31fb5b7b6bf20ca63e33bd46 | course\_3c746e3add116a6aa2b49441 |
| course\_75474c11dc2b9f0b6f591be5 | course\_3c746e3add116a6aa2b49441 |
| course\_ef9c9cd4a7d8002288a4cf7c | course\_c7a9aed08e9193ac68e21e89 |
| course\_d2d0c15e32bd1631a6074548 | course\_c7a9aed08e9193ac68e21e89 |
| course\_0002a781bc9543f3a2ac1a94 | course\_c7a9aed08e9193ac68e21e89 |
| course\_eec4aae06b946a73f1878be4 | course\_c7a9aed08e9193ac68e21e89 |
| course\_fa53f4954bab469b5d4c4fe3 | course\_c7a9aed08e9193ac68e21e89 |
| course\_2e0053b739243eda32fb0fc2 | course\_c7a9aed08e9193ac68e21e89 |
| course\_5d98ff5f6adce2207e394dc6 | course\_c7a9aed08e9193ac68e21e89 |
| course\_03f8aaae24bac7658b319ca8 | course\_f57701752c565e5b0c704a1d |
| course\_9d705456a9a3f278c1b60cc6 | course\_f57701752c565e5b0c704a1d |
| course\_ef9c9cd4a7d8002288a4cf7c | course\_8d768d8674fd0a5a6e68752e |
| course\_d2d0c15e32bd1631a6074548 | course\_8d768d8674fd0a5a6e68752e |
| course\_0cdbe47e9cba33b1c1a28e66 | course\_8d768d8674fd0a5a6e68752e |
| course\_802dd3b68ec2677c556307b6 | course\_8d768d8674fd0a5a6e68752e |
| course\_09c6ee1bc749ac38c1a7d335 | course\_8d768d8674fd0a5a6e68752e |
| course\_874e30b1d4fa32884aa74250 | course\_8d768d8674fd0a5a6e68752e |
| course\_ef9c9cd4a7d8002288a4cf7c | course\_bbb14bdd283ccb9368b888c2 |
| course\_d2d0c15e32bd1631a6074548 | course\_bbb14bdd283ccb9368b888c2 |
| course\_0002a781bc9543f3a2ac1a94 | course\_64851c516bf8195a88f81cc4 |
| course\_cd8a47c5c8808c1cc3427d87 | course\_64851c516bf8195a88f81cc4 |
| course\_eec4aae06b946a73f1878be4 | course\_64851c516bf8195a88f81cc4 |
| course\_fa53f4954bab469b5d4c4fe3 | course\_64851c516bf8195a88f81cc4 |
| course\_2e0053b739243eda32fb0fc2 | course\_64851c516bf8195a88f81cc4 |
| course\_5d98ff5f6adce2207e394dc6 | course\_64851c516bf8195a88f81cc4 |
| course\_0002a781bc9543f3a2ac1a94 | course\_b9ca05f3e5db5af2eb30f64a |
| course\_cd8a47c5c8808c1cc3427d87 | course\_b9ca05f3e5db5af2eb30f64a |
| course\_eec4aae06b946a73f1878be4 | course\_b9ca05f3e5db5af2eb30f64a |
| course\_fa53f4954bab469b5d4c4fe3 | course\_b9ca05f3e5db5af2eb30f64a |
| course\_2e0053b739243eda32fb0fc2 | course\_b9ca05f3e5db5af2eb30f64a |
| course\_5d98ff5f6adce2207e394dc6 | course\_b9ca05f3e5db5af2eb30f64a |
| course\_ef9c9cd4a7d8002288a4cf7c | course\_1ea543c8a9e3b7f76f3a2d83 |
| course\_d2d0c15e32bd1631a6074548 | course\_1ea543c8a9e3b7f76f3a2d83 |
| course\_0002a781bc9543f3a2ac1a94 | course\_1ea543c8a9e3b7f76f3a2d83 |
| course\_eec4aae06b946a73f1878be4 | course\_1ea543c8a9e3b7f76f3a2d83 |
| course\_fa53f4954bab469b5d4c4fe3 | course\_1ea543c8a9e3b7f76f3a2d83 |
| course\_2e0053b739243eda32fb0fc2 | course\_1ea543c8a9e3b7f76f3a2d83 |
| course\_5d98ff5f6adce2207e394dc6 | course\_1ea543c8a9e3b7f76f3a2d83 |
| course\_ef9c9cd4a7d8002288a4cf7c | course\_c3af14b05ef6845e7d2ecd4d |
| course\_d2d0c15e32bd1631a6074548 | course\_c3af14b05ef6845e7d2ecd4d |
| course\_45144ea1ab61fccd3dc0a3f6 | course\_c3af14b05ef6845e7d2ecd4d |
| course\_2a00c702ff402614a950606e | course\_c3af14b05ef6845e7d2ecd4d |
| course\_1b76508145789f8fbc49d1fa | course\_c3af14b05ef6845e7d2ecd4d |
| course\_5d5f3a3f185baf9eaaa98221 | course\_c3af14b05ef6845e7d2ecd4d |
| course\_dcdb624e3fb8cbaf9a557ab9 | course\_c3af14b05ef6845e7d2ecd4d |
| course\_e0a93fa3466c39b6802e52a7 | course\_c3af14b05ef6845e7d2ecd4d |
| course\_ef9c9cd4a7d8002288a4cf7c | course\_60dd4194a1aff4f2fbca49f8 |
| course\_d2d0c15e32bd1631a6074548 | course\_60dd4194a1aff4f2fbca49f8 |
| course\_0002a781bc9543f3a2ac1a94 | course\_60dd4194a1aff4f2fbca49f8 |
| course\_eec4aae06b946a73f1878be4 | course\_60dd4194a1aff4f2fbca49f8 |
| course\_fa53f4954bab469b5d4c4fe3 | course\_60dd4194a1aff4f2fbca49f8 |
| course\_2e0053b739243eda32fb0fc2 | course\_60dd4194a1aff4f2fbca49f8 |
| course\_5d98ff5f6adce2207e394dc6 | course\_60dd4194a1aff4f2fbca49f8 |
| course\_0cdbe47e9cba33b1c1a28e66 | course\_d2bc347ed5e5c07178b1f567 |
| course\_802dd3b68ec2677c556307b6 | course\_6aad5ab0349d79e4904f2259 |
| course\_2c47f118c8b20b84e9ca9d5d | course\_a115f821e881e05681802038 |
| course\_3aa77a7c307c944aec9fad7e | course\_a115f821e881e05681802038 |
| course\_2c47f118c8b20b84e9ca9d5d | course\_d587f29796241b1143ffbe4a |
| course\_469a63c602d4b2142aecf9de | course\_d587f29796241b1143ffbe4a |
| course\_0cdbe47e9cba33b1c1a28e66 | course\_9b8b3606500d06264fde7efc |
| course\_c12730b42971bfae90899021 | course\_9b8b3606500d06264fde7efc |
| course\_2c47f118c8b20b84e9ca9d5d | course\_9b8b3606500d06264fde7efc |
| course\_802dd3b68ec2677c556307b6 | course\_9b8b3606500d06264fde7efc |
| course\_6aad5ab0349d79e4904f2259 | course\_9b8b3606500d06264fde7efc |
| course\_3aa77a7c307c944aec9fad7e | course\_9b8b3606500d06264fde7efc |
| course\_469a63c602d4b2142aecf9de | course\_9b8b3606500d06264fde7efc |
| course\_0cdbe47e9cba33b1c1a28e66 | course\_fba6804289777faee688db73 |
| course\_98c8f7223e5e4f977f8032c8 | course\_fba6804289777faee688db73 |
| course\_2c47f118c8b20b84e9ca9d5d | course\_41d94c2f46e05eb528d30ae4 |
| course\_469a63c602d4b2142aecf9de | course\_41d94c2f46e05eb528d30ae4 |