CSCI 446
Artificial Intelligence
Fall 2018

Montana Tech
Computer Science & Software Engineering

Schedule  |  Assignments  |  Course Syllabus  |  Course Project Information  |  Moodle

ASSIGNMENT 8

For this assignment, students will present the machine learning approach they selected for their written report earlier in the semester. Like the paper, the presentation should give enough background on the topic that a person not familiar with AI would get an understanding of that particular technology, and a person familiar with AI would be able to write a program using that technology. In addition to a short presentation on the technique you chose, you will also be required to present the code you wrote for Assignment 5, Machine Learning, and do a walkthrough of how it works.

Presentations will be scheduled, two per class period, from Nov. 13 - Nov. 29. You must sign up for a date to present. For those not presenting, fair warning, material presented here will be represented on the final exam.

The presentation should be 20 minutes long with an additional 5 minutes allowed for questions. Any materials used (for example, Power Point) should be turned in after the presentation. The standard oral evaluation form found on the department web site will be used to assess the presentations. The link is found toward the bottom of the page at: Standard Oral Evaluation Form


Presentation DateStudent
11/13 Michael Fryer - Genetic Algorithms
11/13 Joseph Beaudry - Decision Trees
11/15 Kendall Schmit - Rule Based Learning
11/15 Mohammed Alobayshi - Instance Based Learning
11/17 Alexander Reid - Clustering
11/17 Max Austin - Decision Trees
11/20 Payson Lippert - Instance Based Learning
11/20 Darron Martinez - Rule Based Learning
11/27 Nathaniel Lewis - Clustering
11/27 Vernon Foley - Artificial Neural Networks
11/29 Kodi Neumiller - Artificial Neural Networks
11/29 Trevor Brooks - Genetic Algorithms
Submission. Submit the electronic version of your presentation slides via Moodle.

Page last updated: August 17, 2018