Semester (학기) | Spring |
Credit (학점) | 3 |
Course Number (이수 번호) | MIS5106 |
· This course develops the ability to analyze time-varying big data by understanding techniques for mathematically describing signals in the time and frequency domains, examining correlations between aspects of each domain, and interpreting relationships between input and output signals in the time and frequency domains by modeling systems.
Semester (학기) | Spring |
Credit (학점) | 3 |
Course Number (이수 번호) | MIS5305 |
· Understand the basic concepts of image processing
· Practice Matlab, image processing toolbox, and signal processing toolbox suitable for image processing
· Perform matrix and vector operations for image processing
· Perform my first Matlab project
Semester (학기) | Spring |
Credit (학점) | 3 |
Course Number (이수 번호) | MIS7003 |
· In this course, students understand the core theories of artificial intelligence, such as exploration and optimization, knowledge representation and reasoning, machine learning, deep learning, and planning, and design a prediction system using time-varying data by understanding the data processing process of machine learning and practicing R SW..