University at Buffalo, SUNY
Course Overview: Undergraduate-level counterpart of CSE 455 (graduate-level version: CSE 555) focusing on the theoretical foundations and advanced applications of machine learning. Topics include probabilistic modeling, deep representation learning, and project-based evaluation.
Semesters Taught: Spring 2026, Fall 2025, Spring 2025, Fall 2024, Spring 2024.
Course Overview: The course provides guidance about graduate studies in CSE for incoming Ph.D. students. Registration and attendance are required for all new Ph.D. students. Topics include: academic integrity, the nature of research, good teaching and TA skills, writing skills, presentation skills, and resources available for graduate study in computer science. The course will include appropriate written assignments and oral presentations.
Prerequisite: This course is open only to Ph.D. students.
Semesters Taught: Fall 2023.
Course Overview: Rotating topics in computer vision, human behavior understanding, multi-modal learning and generative AI. Emphasis on reading groups, paper presentations and reproduction of state-of-the-art methods.
Semesters Taught: Spring 2022.
Course Overview: Department seminar series covering current research in AI, vision, and human-centered computing. Student participation includes talks, discussion summaries, and invited speaker interactions.
Semesters Taught: Fall 2025.