Urban Analytics Courses

Urban Analytics

Courses

The following courses are offered by the Department of Urban and Regional Planning. Note that course offerings and syllabi are subject to change.

Total: 36 credits

REQUIRED CORE COURSES

URP 6223 – Introduction to Urban Analytics OR URP 6931 – Artificial Intelligence in the Built Environment [3 credits, required]

URP 6224 – Intermediate Urban Analytics [3 credits, required]

URP 6007 – Survey in Urban and Regional Planning [3 credits (required for students without urban planning background)]

Thesis/Capstone [at least 3 credits are required].

GROUP 1. URBAN AND REGIONAL PLANNING THEORY COURSES [AT LEAST 3 CREDITS]

URP 6042 – Urban Economy

URP 6100 – Planning Theory and History

URP 6131 – Land Use and Planning Law

URP 6421 – Environmental Land-Use Planning and Management

URP 6445 – Planning for Climate Change

URP 6541 – Economic Development Planning

URP 6716 – Transportation Policy and Planning

URP 6711 – Transportation and Land Use Coordination

URP 6745 – Housing, Public Policy and Planning

GROUP 2. URBAN AND REIONAL PLANNING METHODS COURSES [ AT LEAST 6 CREDITS]

URP 6270 – Introduction to Planning Information Systems

URP 6271 – Automation for Geospatial Modeling and Analysis

URP 6272 – Urban Spatial Analysis

URP 6276 – Internet Geographic Information Systems

URP 6821 – Transportation and Land Use Modeling

GROUP 3. DATA AND COMPUTER SCIENCE COURSES [AT LEAST 9 CREDITS]

COP 3502 – Programming Fundamentals 1

EEL 3850 – Data Science for ECE

STA 4210 – Regression Analysis

CAP 4770 – Introduction to Data Science.

EEL 4930 – Applied Machine Learning Systems

EEE 4773 (or EEL 5840) – Fundamentals of ML

COT 5615 – Mathematics for Intelligent Systems (prerequisite of CAP 6610)

CAP 6610 – Machine Learning

CAP 6615 – Neural Networks

EEL 6935 – Big Data Ecosystems

EEL 5840 – Elements of Machine Intelligence

EEL 6814 – Neural Networks and Deep Learning

EEL 6953 – Machine Learning for Natural Language Processing

EEE 6512 – Image Processing and Computer Vision

EEL 6825 – Pattern Recognition and Intelligent Systems

EEL 6841 – Machine Intelligence and Synthesis

GEO 6166 – Advanced Quantitative Methods for Spatial Analysis

Important Notes:

  1. Master students can take up to two 3000/4000 courses from other departments (not URP) for graduate credits.
  2. Students can balance their credits between Group 1 and Group 3 depending on their backgrounds.
  3. Students can choose to complete the 36 credits within 12, 18, or 24 months.
  4. Further flexibility in curriculum is allowed with the advisor’s approval.

Total: 15 credits

  • Option A is for students who have background in Urban and Regional Planning and related programs;
  • Option B is for students with background in computer and information science or electronic and computer engineering or related fields.

Option A Requirements:

Urban and Regional Planning Methods [6 credits are required from the following courses]

URP 6270 – Introduction to Planning Information Systems

URP 6271 – Automation for Geospatial Modeling and Analysis

URP 6272 – Urban Spatial Analysis

URP 6276 – Internet Geographic Information Systems

URP 6821 – Transportation and Land Use Modeling

GEO 6166 – Advanced Quantitative Methods for Spatial Analysis

Data Science Cluster [3 credits are required]

CAP 5771 – Introduction to Data Science

STA 6166 — Statistical Methods in Research I

EEL 6533 – Data Analytics and Decision Sciences

COP 5725 – Database Management Systems

COP 6726 – Database System Implementation

COP 6755 – Distributed Database Systems

COT 5405 – Analysis of Algorithms

COP 5536 – Advanced Data Structures

Artificial Intelligent Cluster [6 credits required]

COT 5615 – Mathematics for Intelligent Systems (prerequisite of CAP 6610)

CAP 6610 – Machine Learning

CAP 5635 – Artificial Intelligence Concepts

CAP 6615 – Neural Networks for Computing

EEL 6935 – Big Data Ecosystems

EEL 5840 – Elements of Machine Intelligence

EEL 6814 – Neural Networks and Deep Learning

EEL 6953 – Machine Learning for Natural Language Processing

EEE 6512 – Image Processing and Computer Vision

EEL 6825 – Pattern Recognition and Intelligent Systems

EEL 6841 – Machine Intelligence and Synthesis

EEL 6814 – Neural Networks and Deep

Option B Requirements:

Urban and Regional Planning Domain Knowledge [6 credits required from the following courses]

URP 6100 – Planning Theory and History

URP 6042 – Urban Economy

URP 6131 – Land Use and Planning Law

URP 6421 – Environmental Land-Use Planning and Management

URP 6445 – Planning for Climate Change

URP 6541 – Economic Development Planning

URP 6716 – Transportation Policy and Planning

URP 6711 – Transportation and Land Use Coordination

URP 6745 – Housing, Public Policy and Planning

Urban and Regional Planning Methods [9 credit required from the following courses]

URP 6270 – Introduction to Planning Information Systems

URP 6271 – Automation for Geospatial Modeling and Analysis

URP 6272 – Urban Spatial Analysis

URP 6276 – Internet Geographic Information Systems

URP 6821 – Transportation and Land Use Modeling

GEO 6166 – Advanced Quantitative Methods for Spatial Analysis

The allowed timeframe for completion of this certificate is 3 years of initial enrollment in the graduate certificate program.

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