CSE/STAT 416, Summer 2020: Overview

Course Instructor (link)

  • Vinitra Swamy
  • vinitra@cs.washington.edu
  • Lecture: 08:40 - 10:40 AM on Monday, Wednesday
  • Vinitra is a lecturer at the University of Washington with the Paul G. Allen School for Computer Science & Engineering (CSE). Currently, she serves as an AI Software Engineer at Microsoft. Vinitra's research interests span the areas of artificial intelligence, machine learning, deep learning, and computing education. Her area of specialization includes Intelligent Systems, explainability, and interoperability in neural network models.

Course Description (link)

This course provides a practical introduction to machine learning. Modules include regression, classification, clustering, retrieval, recommender systems, and deep learning, with a focus on an intuitive understanding grounded in real-world applications. Intelligent applications are designed and used to make predictions on large, complex datasets. Offered by the Computer Science & Engineering department as CSE 416. Offered by the Statistics department as STAT 416.

Term: Summer 2020

Credits: 4.0

Course size: 102 students enrolled


  • One of CSE 143, CSE 160, or CSE 163
  • One of STAT 311, STAT/MATH 390, or STAT 391

Course Syllabus

UW CSE - Course Catalog Listing

UW Statistics - Course Catalog Listing

Teaching Assistants (link)

Staff email: cse416staff@u.washington.edu

  • Anne Wagner
  • amwag@uw.edu
  • Teaching Assistant (TA)
  • Section AA & AB
  • Hongjun (Jack) Wu
  • hongjun@uw.edu
  • Teaching Assistant (TA)
  • Section AA & AB