# Syllabus

CSCI 431 - 01, Fall 2019 — Artificial Intelligence

MWF 2:30-3:20p Eliz 205; pre-reqs: CSCI 221

This course covers a wide array of topics related to contemporary artificial intelligence and machine learning techniques and tools. Our focus will be on practical techniques that can be immediately applied outside of the classroom. By the end of the course, you should be able to apply an appropriate AI technique in a novel situation.

• Joshua Eckroth, Assistant Professor of Computer Science, jeckroth@stetson.edu, homepage

• Eliz Hall 214, 386-740-2519

• Office hours: M 1:15-2, T 2-4, F 1-2

## Textbook

We will use my book, AI Blueprints. I’ll email you a PDF copy.

• Attendance on work days (usually Fridays): 10%
• Homeworks: 50%
• Midterm: 20%
• Final exam: 20%

Final exam time: Wednesday, Dec 11 (5p-7p)

Late work is penalized 20% for each day that it is late. Submissions more than 3 days late receive no credit. Tests cannot be made up unless a doctor’s note is provided.

The grading scale will follow the typical A = 93-100, A- = 90-92, B+ = 87-89, etc.

### Attendance

The grading rubric for attendance is as follows, out of 3 points:

• attended at least 75% of work days: 3 pts
• attended at least 50% of work days: 2 pts
• attended at least 25% of work days: 1 pt
• attended fewer than 25% of work days: 0 pts

### Homework

Homework will be submitted via Bitbucket. Create an account on Bitbucket and, for every assignment, create a new repository and add me (username ‘joshuaeckroth’) as a reader. Always name the repository csci431-A01 or similar.

See the individual assignments for the grading rubric. Homeworks are always out of 5 points.

## Honor code

I am strongly in agreement with the Stetson University Honor Code. Any form of cheating is not acceptable, will not be tolerated, and could lead to dismissal from the University.