1. 1 Welcome to AI CS 3610, Artificial Intelligence Dr. Ben Schafer www.cs.uni.edu/~schafer/3610

2. 2 Getting to know you “Mugshots” Information Sheet

3. Getting Started Name : Dr. Ben Schafer Hometown : Ames originally but … Class : Fourteenth year (plus 5 as an undergrad) Previous languages/comfort: Too many to list. At one time I knew all of the ones on the list, but Java and Python are the ones I use the most. Anything you should know about me : My handwriting can be messy My voice can get loud.

4. 4 Why Are You Here? Common reasons I have heard. – AI looks “cool” in the movies (in my video games). – I want to write a super cool app that does ______. – AI is a “hot” field. – Knowing AI might help me get a job. – Because I needed one last class in Foundations

5. 5 Why Are You Here? Common reasons I have heard. – AI is a “hot” field. – Knowing AI might help me get a job. True??? I don’t know But, I do think that AI will always be relevant to the student of CS. Every practitioner of computer science should be familiar with the field, its techniques, and its current interests.

6. 6 Why? Well, consider this list of topics : – the first Fortran compiler – timesharing systems – Deep Blue and Watson – object-oriented programming – visual programming – client-server computing – web crawlers – Marketing Systems (such as used at Amazon.com). All have their roots in AI research!

7. 7 How this course is “different” from other CS courses We will not focus our attention on programming. – Although we will program. We will discuss a lot of philosophical issues. – Although we will almost always ground them in algorithms and data structures. You will have an opportunity to solve a problem our two outside the discipline of computer science.

8. 8 Syllabus Discussion Course website – www.cs.uni.edu/~schafer/3610/

9. 9 Syllabus Discussion The Textbook – Artificial Intelligence : A Modern Approach (3 rd edition) Russell and Norvig, (ISBN 0136042597) Lot’s of good books in the library or available online. Feel free to consult other books for a different approach

10. Grading ActivityEstimated Points (approx. %) Homework200 (28.6%) Research Paper200 (28.6%) Mid-term exams200 (28.6%) Final exam100 (14.3%)

11. 11 Syllabus Discussion I take academic misconduct seriously In general, I do not accept late work No laptops, no cell phones

12. 12 Syllabus Discussion Research paper – Consists of “seven” deliverables pre-scheduled throughout the semester. – Will consist of a mixture of individual and group based activities – Will culminate in you working with a group of classmates to write and “publish” a very specifically formatted overview of an AI topic of your choice.

13. 13 Your FIRST Homework Homework 0 is posted and due on Wed. – Type up a couple of pages (600-1200 words) on “How do you define AI?” This is an “opinion” piece and will be granted credit for thoughtful completion. – Submit via the electronic submission system (testing it more than anything). – Bring a print copy to class.