Computational Data Analytics, Minor

This minor, offered by the Department of Electrical and Computer Engineering in the College of Engineering, seeks to provide a coherent technical foundation in the fundamentals and application of data analytics. The minor addresses the growing demand in industry to be able to apply background in probability/statistics, calculus, engineering problem solving, computing, and analytical principles/tools to identify patterns and trends, find clusters and outliers, and characterize/summarize the mountain of data being generated in our world. This program leverages faculty expertise in electrical and computer engineering and includes courses from across the College of Engineering, College of Science, and College of Computer and Information Science.

Students need to complete the program requirements with at least three courses that are not part of their major required course work.

Complete all courses listed below unless otherwise indicated. Also complete any corequisite labs, recitations, clinicals, or tools courses where specified.

Note: Students need to complete the program requirements with at least three courses that are not part of their major required course work.

Required Courses

EECE 2300Computational Methods for Data Analytics (not required for EECE majors)4
EECE 5644Introduction to Machine Learning and Pattern Recognition4
EECE 5642Data Visualization4

Probability and Statistics 

Complete one of the following:4
Probability and Engineering Economy for Civil Engineering
Noise and Stochastic Processes
Mathematical Methods for Engineers
Statistics and Software
Probability and Statistics

Elective

Complete one of the following:4
Fundamentals of Engineering Algorithms
Fundamentals of Linear Systems
Advanced Engineering Algorithms
Image Processing and Pattern Recognition
Numerical Methods and Computer Applications
Computer Vision
Database Design
Large-Scale Parallel Data Processing
Algorithms and Data
Database Management Systems
Social Computing
Operations Research
Data Mining for Engineering Applications
Information Retrieval
Social Information Systems
Applied Analysis

GPA Requirement

2.000 GPA required in the minor