CPS 480 - Intro to Artificial Intelligence

Course Syllabus

CPS 480 prepares students to search, knowledge representation, machine learning, neural networks, evolutionary and bio inspired computation techniques, intelligent agents, and expert systems.

Lecture Slides:

• Week 1 - Introduction

  • Lecture 2 - Turning Test - Whiteboard Notes

    • Video: Types of AI (5 min)

  • Lecture 3 - AI vs ML - Whiteboard Notes

    • Video: TicTacToe 1950s AI

• Week 2 - Rationality

  • Lecture 4 - Agents in General

    • Video: Rationality (7 min)

  • Lecture 5 - Reflex Agents - Whiteboard Notes

• Week 3 - Search

  • Lecture 6 - Types of Environment Modeling - Whiteboard Notes

    • Whiteboard Notes

  • Lecture 7 - Pacman World Space Analysis

  • Career Fair (virtual)

• Week 4 - Search (Cont.) & Bayes Theorem

• Week 5 - Bayes Theorem

  • Notes

  • Notes w/ Answers

• Week 6 - Exam 1

  • Exam 1 Study Guide & Study Guide Answers

  • Exam 1 - 20%

  • Exam 1 Review

• Week 7 - No Class

  • Fall wellness break

• Week 8 - Configuration of Open AI

• Week 9 - Configuration of Open AI (Cont.)

• Week 10 - Open AI - Environments

• Week 11 - Open AI - Search Space & Action Space

• Week 12 - Open AI - Cartpole v1

• Week 13 - Thanksgiving

• Week 14 - No class

  • Conference and Projects

• Week 15 - Demos & Review

  • [M] - Colby / Landon / Hannah / Brett

  • [W] - Chad / Yeli / Zach / Ashleigh

  • [F] - Keegan / Roger / Aidan / Jalen

• Week 16 - FINAL - 25%

Assignments:

• Project [30% Project + 15% Presentation]

Handouts

• How to read a research paper

• Hints for writing research paper (#2)

• New Venture Competition

• AITP Meeting

  • Coding Competition

• MSU Supercomputer Details

• AutoOwners Employment Info (Sept 20th)

Number of students: 19

CPS 680 - Graduate Artificial Intelligence

Course Syllabus

CPS 680 prepares graduate students to search, knowledge representation, machine learning, neural networks, evolutionary and bio inspired computation techniques, intelligent agents, and expert systems.

Lecture Slides:

• Week 1 - Introduction

  • Lecture 1 - AI as a Force Multiplier (Good or Bad?)

  • Lecture 2 - Writing A Good Paper

    • Overleaf

    • ResearchGate

• Week 2 - Rationality

  • Lecture 3 - Rational Agents

    • Whiteboard Notes

• Week 3 - Search

  • Lecture 4 - World State vs Search State & State Space Graph

  • Lecture 5 - Search Algorithms

• Week 4 - Search (Cont.) & Bayes Theorem

  • Lecture 6 - Dijstra’s Algorithm

    • Whiteboard Notes

• Week 5 - Bayes Theorem

  • Lecture 7 - Bayes Theorem

    • NOTE: I accidentally wrote Bayes’ Theorem backwards on the whiteboard. It should say P(A|B) = P(B|A)*P(A) / P(B)

    Lecture 8 - Review

• Week 6 - Exam 1

  • Exam 1 - 18%

  • Exam 1 Review

• Week 7 - Facebook & TWSS

  • Paper: Facebook Deepface [Qiyu] / Paper: That’s What She Said [Ashish K.]

    • Youtube Faces Dataset (25GB) / Sample ipynb

• Week 8 - Self-Driving Simulator

  • Setup, Anaconda, Training, and Execution

  • Visual Studio Code and Robotic Integration

• Week 9 - No class

• Week 10 - DeepFakes and Satellite Land Use Classification

  • Paper: DeepFakes [Dylan] / Land Classification [Ashish P.]

• Week 11 - NN Handwriting and Scaled Learning

  • Paper: Neural Network Handwriting [Brian]

  • Paper: Scaling Learning Algorithms [Kaza]

• Week 12 - OpenAI

  • Paper: Dota 2 by OpenAI [Weka]

• Week 13 - Conference and Projects

  • ITNG Conference

  • Remaining Agenda

  • Bonus! - Self Driving Car - Video (18 min)

    • Update: you can press ‘j’ to stop recording frames

    • UPDATE: New AI Page

• Week 14 - Paper Review #1

  • [M] - Kaza / Ashish P.

  • [W] Qiyu / Dylan

• Week 15 - Paper Review #2

  • [M] Ashish K. / Brian

  • [W] Weka

Assignments:

• Assignment 1 - Article Review (due date: see schedule above)

• Assignment 2 - Background (due Feb 10th)

• Assignment 3 - Introduction (due Apr 5th)

• Assignment 4 - Methods (due Apr 9th)

• Assignment 5 - Results (due Apr 28th)

• Assignment 6 - Abstract, Conclusions, and Term Paper Complete (May 3rd)

Handouts

• How to read a research paper

• Hints for writing research paper (#2)

• New Venture Competition

• AITP Meeting

• MSU Supercomputer Details

Number of students: 7

CPS 498 - Senior Design

Course Syllabus

---

Project Videos

Team 1 - Into The Abyss: A Deep-Sea Exploration Adventure Game

Team 2 - A Cloud-Enabled Museum Queue API for DJango

Team 3 - A Virtual Reality Laparoscopic Surgical Trainer

Team 4 - Open-Source Guitar Effect Switcher

Team 5 - Gratuitous: A 3rd-Person Role-Playing Adventure Game

CPS 498 is our capstone course in computer science. Students work in teams of three or four, following the software development lifecycle and best practices to develop software for real-world applications. Projects were showcased at the CMU Engineering Expo on May 7th.

Projects This Semester:
Click on links to access each project’s website

1. A deep-sea exploration adventure game.
   Advisor: Collin Van Brabant

2. A Cloud-Enabled Museum Queue API for DJango
   Advisor: Rachel Crowley

3. Laparoscopic Surgical Training for 3D Systems Force-Feedback Enabled “Lap Trainer” System
   (in conjunction with Dr. Faiz Tuma at CMU Health).

4. Open-Source Guitar Effects Switcher.
   Advisor: Rob Wang

5. Gratuitous: A 3rd-Person Role-Playing Adventure Game. Advisor: Liling Li

Lecture Slides:
For lectures there is a <link for powerpoint slides> - Video <followed by a link to the video>.

• Week 1 - Introduction

  • Lecture 1 - Introduction

  • Lecture 2 - Software Development Life Cycle - Video (6 min)

    • Video: Using Github to Rollback a Broken Build (6 min)

  • Lecture 3 - Version Control - Video (8 min)

  • Lecture 4 - Software Process Models - Video (12 min)

• Week 2 - Team Formation

  • Lecture 5 - Project Inspiration

  • Lecture 6 - Agile Manifesto - Video (13 min)

  • Lecture 7 - Scrum Board - Video (8 min)

  • Lecture 8 - Story Points - Video (min)

    • Scrum Overview - Video (10 min)

• Week 3 - Agile

  • Lecture 9 - Team Projects Discussion

  • Lecture 10 - Story of Air France Flight 447

  • Lecture 11- Functional vs Non-Functional Requirements

    • Whiteboard Notes

    • Visit Covenant Healthcare in Saginaw

• Week 4 - Agile - Continued

  • Lecture 12 - Traceability Matrix

    • Whiteboard Notes

  • Lecture 13 - Setting up Team Github Repo

• Week 5 - Software Estimation

  • Lecture 14 - The Unified Modeling Language (UML)

    • 4 Association Types

  • Lecture 15 - Software Estimates

    • Whiteboard Notes

• Week 6 - Estimation (Cont.)

  • Lecture 16 - Guest Speaker Navjot Kaur

  • Lecture 17 - Scrum Story Board Simulation

  • Bonus! - Self Driving Car - Video (18 min)

    • Update: you can press ‘j’ to stop recording frames

    • UPDATE: New AI Page

• Week 7 - Planning Poker Simulation

  • Lecture 18 - Planning Poker Simulation

• Week 8 - Kanban & Review

  • Lecture 19 - Kanban vs Scrum

    • Whiteboard Notes

    • Supplemental Video

  • Lecture 20 - Review

• Week 9 - Midterm

  • Midterm Exam - Class Average & Results

  • Midterm Results

• Week 10 - Project Check-Up

  • [W] - Team 02 / Team 01

  • [F] - Team 03 / Team 04

• Week 11 - Project Check-Up (Continued).

  • [M] - Team 05

  • [W] - Team 01

• Week 12 - Test Driven Development

  • TDD

    • Whiteboard Notes

• Week 13 - Final Project Expectations

  • End of Semester Schedule

  • Commencement Discussion and Project Expectations

• Week 14 - Team Presentations

  • [M] Team 5

  • [W] Team 1

  • [F] Team 4

• Week 15 - Team Presentations

  • [M] Team 3

  • [W] Team 2

  • [F] No class - Wellness day

  • [S] Fun Day - 11am - 1pm

    • skribbl.io - Pictionary Game

    • DOTA - Shooter

    • Minecraft - Retro

• Week 16 - Virtual EXPO

  • May 7th

    • Team 1 - Video + QA (option 2)

    • Team 2 - Poster + Video

    • Team 3 - Video + QA (option 2)

    • Team 4 - Poster + Video

    • Team 5 - Poster + Video

Assignments:

• Assignment 1 - UML / SE / SP (due February 12th)

Project Parts:

• Part 1 [Edited] - Concept (due Feb 10)

  • Example #1 - SimpleValuation

  • Example #2 - Digital Scanner with Associations to Progression and Achievements

• Part 2 - Website (due Mar 1)

• Part 3 - Poster (due Apr 9)

  • Example #1 - Wood Gassifier

  • Example #2 - 2 column template with center images. NOTE: template is from a different school, so make sure you use CMU’s themed template.

• Part 4 - Abstract (due Apr 9)

• Part 5 - Video (due Apr 23 - hard deadline!)

  • Example #1 - Drone Zone

  • Example #2 - Nevada Research Data Center

  • Example #3 - VR Together

• Part 6 - Final Report (due May 1)

• Part 7 - Website Updated w/ Changes and Final Project Progress (due Apr 28)

Handouts

• New Venture Competition Schedule

• GitKraken Cheat Sheet

• AITP/ACM Flier

  • CMU Programming Competition

• Github Badges

• Github Markdowns

• Dr. Redei’s Recommendations for Commenting Best Practices

• History of Functional and Object-Oriented Programming Languages

• Poster Template (.pptx)

• Project Overview (.docx)

• Get Adobe Creative Cloud

• Project Grade Template

Midterm

• Study Guide

  • Answers to Sample Questions

• Detailed Study Guide

• Jeopardy Game

Number of students: 21