COE 379L: Software Design For Responsible Intelligent Systems

The objective of this course is to introduce students to scalable data analysis and machine learning techniques for designing, implementing, validating and operating responsible intelligent systems for engineering. The course covers algorithms, techniques and tools for applying data analytics and machine learning to real-world problems. Through a series of projects spanning the course of the semester, students design and implement ML models . The course attempts to strike a balance between foundational and state-of-the-art techniques.

Course Schedule:

• Unit 1: Course Overview and Introduction to Data Processing
• Unit 2: Introduction to Machine Learning
• Unit 3: Advanced Techniques for Machine Learning
• Unit 4: Recent Advancements

Projects:

• Project 01 - 20 Points
• Project 02 - 20 Points
• Project 03 - 25 Points
• Project 04 - 35 Points

Additional Resources

• Slack: https://tacc-learn.slack.com/

• Class Repo: https://coe-379-sp24.readthedocs.io/

• Canvas: TBD