Office of the Registrar
Campus Address
Hanover, NH
03755-3529
Phone: (603) 646-xxxx
Fax: (603) 646-xxxx
Email: reg@Dartmouth.EDU

Organization, Regulations, and Courses 2020-21


ENGS 108 Applied Machine Learning

This course will introduce students to modern machine learning techniques as they apply to engineering and applied scientific and technical problems.  Techniques such as recurrent neural networks, deep learning, reinforcement learning and online learning will be specifically covered.  Theoretical underpinnings such as VC-Dimension, PAC Learning and universal approximation will be covered together with applications to audio classification, image and video analysis, control, signal processing, computer security and complex systems modeling.  Students will gain experience with state-of-the-art software systems for machine learning through both assignments and projects.  Because of the large overlap in material covered, no student will receive credit for both ENGS 108 and COSC 74/174.

Instructor

Cybenko

Prerequisite

ENGS 20 or equivalent, MATH 22 or equivalent, ENGS 27 or ENGS 93 or equivalent.

The Timetable of Class Meetings contains the most up-to-date information about a course. It includes not only the meeting time and instructor, but also its official distributive and/or world culture designation. This information supersedes any information you may see elsewhere, to include what may appear in this ORC/Catalog or on a department/program website. Note that course attributes may change term to term therefore those in effect are those (only) during the term in which you enroll in the course.