IAM788 TOPOLOGICAL MACHINE LEARNING IN TIME SERIES
| Course Code: |
9700788 |
| METU Credit (Theoretical-Laboratory hours/week): |
3(3-0) |
| ECTS Credit: |
8.0 |
| Department: |
Institute Of Applied Mathematics |
| Language of Instruction: |
English |
| Level of Study: |
Graduate |
| Course Coordinator: |
|
| Offered Semester: |
Fall and Spring Semesters. |
Course Content
This course provides students with time series modeling, and Topological Data Analysis (TDA) that are recently used to examine the shape of the data in data science field. The topics include the fundamentals of many disparate fields such as algebraic topology, linear algebra, machine learning algorithms, statistics, and time series modeling in order to understand recent results in the TDA and time series field besides using the efficient software for the computation of things discussed in class, such as persistent homology. Real world cases will be presented throughout the course and students will get experience in data science platforms using Python or R programming language and High Performance Computing.
