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 the Khoury College of Computer Sciences
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 coursework.
Required Courses
| Code | Title | Hours |
|---|---|---|
| EECE 5644 | Introduction to Machine Learning and Pattern Recognition | 4 |
| EECE 5642 | Data Visualization | 4 |
| Complete one of the following: | 4 | |
| Fundamentals of Computer Science 2 (Khoury Majors and Combined Majors Only) | ||
| Embedded Design: Enabling Robotics (EECE Majors Only) | ||
| Computational Methods for Data Analytics (Non EECE/Khoury Majors Only) | ||
Probability and Statistics
| Code | Title | Hours |
|---|---|---|
| Complete one of the following: | 4 | |
| Probability and Engineering Economy for Civil Engineering | ||
| Noise and Stochastic Processes | ||
| Mathematical Methods for Engineers | ||
| Engineering Probability and Statistics | ||
| Statistics and Software | ||
| Probability and Statistics | ||
Elective
| Code | Title | Hours |
|---|---|---|
| Complete one of the following: | 4 | |
| Fundamentals of Engineering Algorithms | ||
| Fundamentals of Linear Systems | ||
| Advanced Engineering Algorithms | ||
| Numerical Methods and Computer Applications | ||
| Computer Vision | ||
| Algorithms and Data | ||
| Database Design | ||
| Large-Scale Parallel Data Processing | ||
| Database Management Systems | ||
| Operations Research | ||
| Data Mining for Engineering Applications | ||
| Information Retrieval | ||
| Applied Analysis | ||
GPA Requirement
2.000 GPA required in the minor