Course Overview

Course Description

Content
This course introduces topics in Deep Learning with an emphasis on individual inquiry, problem-based learning, group work, and computer programming.

Prerequisites
CS 3460 and MAT 2240 with a grade of "C" or higher

Objectives

  1. Build, train, and evaluate models for a variety of deep learning problems;
  2. Explore a variety of models that perform well;
  3. Demonstrate self-guided learning;
  4. Communicate your findings; and
  5. Work well with your team.

Course Requirements

Materials

Required

Resources

Grade Items

Attendance

Unexcused absences deduct 1% from your final grade.

Group Work and Participation

You will receive a grade based on my observations of your team meetings during class. Attendance is mandatory and although excused absences will not directly affect your grade, neglecting your team will. You also earn credit by showing up and submitting quality feedback for your teammates, assessing other teams presentations, and submitting inquiry reports before group meetings.

Model Performance and Exploration

A significant portion of this class will be spent designing, building, training, and evaluating deep learning models. A portion of your grade will be determined by the timeliness, performance, and diversity of the models you submit to Web-CAT.

Project Reports

Each problem culminates with a group project report. Two students will lead each team's report. Every student must lead at least one problem report.

Project Presentations

Each problem culminates with a group project presentation. Two students will lead each team's presentation. Every student must lead at least one problem presention.

Peer and self evaluations

At the end of each project, students will submit self and peer evaluations.

Homework

Students will complete a small number of homework assignments, either individual programming assignments or written assignments graded by in-class quizzes.

Final Exam

A written exam will be given during the final exam period.

Grading & Policies

Course Policies

University Policies

ASU has official policies that are considered part of this syllabus, including the Academic Integrity Code, accommodations for students with disabilities, Attendance Policy, and the Statement on Student Engagement with Courses:
Syllabi Policy and Statement Information

Additional Syllabus Statements

In addition, this syllabus incorporates the following statements on Food Insecurity, Title IX Reporting Obligations, and Public Sharing of Course Materials:
Optional Syllabi Policy and Statement Information

Grading

Calendar

The official sequence of class activities is maintained on ASULearn.