ADVANCED DEEP LEARNING

Prerequisites & course information

Requisites: E C E/COMP SCI 760 Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2025 Learning Outcomes: 1. Understand the key elements and methods in the design and use of deep neural networks; Audience: Graduate 2. Advance knowledge and get exposure to cutting-edge topics in AI and deep learning Audience: Graduate 3. Explore new research directions and applications of deep learning Audience: Graduate 4. Identify and participate in original research in a collaborative team Audience: Graduate 5. Search for sources of information and evaluation methods and tools relevant to the project Audience: Graduate 6. Get hands-on experience in writing software and programs using popular deep learning libraries and frameworks Audience: Graduate 7. Develop analytic and problem-solving skills using computational approaches Audience: Graduate Learning Outcomes: 1. Understand the key elements and methods in the design and use of deep neural networks; Audience: Graduate 2. Advance knowledge and get exposure to cutting-edge topics in AI and deep learning Audience: Graduate 3. Explore new research directions and applications of deep learning Audience: Graduate 4. Identify and participate in original research in a collaborative team Audience: Graduate 5. Search for sources of information and evaluation methods and tools relevant to the project Audience: Graduate 6. Get hands-on experience in writing software and programs using popular deep learning libraries and frameworks Audience: Graduate 7. Develop analytic and problem-solving skills using computational approaches Audience: Graduate