COE Minor Requirements:
Student must successfully complete the requirements of one of the following two options:
Option 1 (11 credits):
• COE 221 Digital Systems
• COE 241 Microcontrollers: Programming and Interfacing
• ELE 341 Electronics II
Option 2 (10 credits):
• COE 221 Digital Systems
• COE 341 Computer Architecture and Organization
• COE 424 Advanced Digital System Design
COE Minor Electives (minimum of 9 credits):
Students must successfully complete a minimum of nine credits from any 300-level or above COE courses, except COE 490 and COE 491.
CMP Minor Requirements:
Computer engineering students (9 credits):
• CMP 305 Data Structures and Algorithms
• CMP 310 Operating Systems
• COE 420 Software Engineering
All other students (12 credits):
• CMP 120 Programming I
• CMP 220 Programming II
• CMP 305 Data Structures and Algorithms
• MTH 213 Discrete Mathematics
CMP Minor Electives:
Computer engineering students (minimum of 9 credits):
Students must successfully complete a minimum of nine credits from any 300-level or above CMP courses not cross-listed with COE courses and excluding CMP 490 and CMP 491.
All other students (minimum of 6 credits):
Students must successfully complete a minimum of six credits from any 300-level or above CMP courses, excluding CMP 490 and CMP 491. Students may also take COE 370 to meet this requirement.
Data Science Minor Requirements (12 credits):
• CMP 120 Programming I or MIS201 Fundamentals of Management Information Systems
• one of the following:
◦ STA 201 Introduction to Statistics for Engineering and Natural Sciences
◦ STA 202 Introduction to Statistics for Social Sciences
◦ QBA 201 Quantitative Business Analysis
◦ NGN 111 Introduction to Statistical Analysis, plus MTH 243 Introduction to Mathematical Programming or a one-credit CMP or COE directed study in data science
• STA 301 Foundations of Statistics for Data Science
• STA 401 Introduction to Data Mining or CMP 466 Machine Learning and Data Mining or MIS 388 Business Analytics
Data Science Minor Electives (minimum of 9 credits):
Students must successfully complete a minimum of six credit hours in courses selected from the following list. A minimum of three credit hours must be successfully completed in courses at the 300-level or above.
• CMP 305 Data Structures and Algorithms
• CMP 320 Database Systems
• CMP 433 Artificial Intelligence
• COE 375 Modeling and Simulation of Stochastic Systems or ELE 360 Probability and Stochastic Processes for Electrical Engineers
• ECO 351 Introduction to Econometrics
• ECO 451 Advanced Econometrics
• ELE 456 Pattern Recognition
• FIN 430 Financial Forecasting
• INE 415 Design of Experiments
• MCM 311 Mass Communication Research Methods and Data Analytics
• MIS 301 Fundamentals of Database Management
• MTH 221 Linear Algebra
• MTH 350 Introduction to Probability
• MTH 382 Linear Programming and Optimization
• MTH or STA 394/494 approved special topic courses in the areas of probability, optimization and statistics
• STA 233Introduction to Survey Sampling and Analysis
• UPL 302 Analysis of Spatial Phenomena