Course Guide
A typical quarterly schedule is one 4-credit CSE D course during the academic year (autumn, winter, spring, and summer quarters). Students may take up to 4 quarters off while completing the certificate.
Modern AI Methods Courses
Modern AI Methods courses are intended to be relevant to professionals and recent graduates interested in advancing their knowledge in core and emerging areas of Artificial Intelligence and Machine Learning. The curriculum consists of four courses: Foundations of Artificial Intelligence and Machine Learning, Natural Language Processing, Computer Vision, and Putting Artificial Intelligence to Use.
Below is the slate of courses for the academic year, including expanded course descriptions and tentative instructors.
Current Courses
Autumn 2025
CSE D 501 Modern Artificial Intelligence and Machine Learning
Instructor: Dr. Taylor Kessler Faulkner
Schedule: TBA
Place: TBA
A broad introduction to methods and implementations in artificial intelligence and machine learning. Topics may include clustering, classification, regression, recommender systems, and neural networks. Recommended: familiarity with a coding language such as Python, and introductory statistics. CSE Modern AI Methods students only.
Winter 2026
CSE D 502 Computer Vision
Instructor: Prof. Ranjay Krishna
Schedule: TBA
Place: TBA
Principles and methods for interpreting and processing images. Topics may include segmentation, object recognition, motion tracking, and convolutional neural networks. Prerequisites: CSE D501. CSE Modern AI Methods students only.
Spring 2026
CSE D 503 Natural Language Processing
Instructor: Prof. Luke Zettlemoyer
Schedule: TBA
Place: TBA
Principles and methods for interpreting and generating natural language. Topics may include language models, text categorization, text generation, and syntactic and semantic analysis. Prerequisites: CSE D501. CSE Modern AI Methods students only.
Summer 2026
CSE D 504 Putting Artificial Intelligence to Use
Instructor: Prof. Megan Hazen
Schedule: TBA
Place: TBA
Culminating experience project. Student teams implement projects in Natural Language Processing and Computer Vision. Prerequisites: CSE D502, CSE D503. CSE Modern AI Methods students only.