1. CS 1 – Introduction to Computer Science Introduction to the wonderful world of Dr. T Dr. Daniel Tauritz

2. Goals & Actions Have to do versus Choose to do Goals Actions Commitments

3. Teaching (1): AI Introduction to Artificial Intelligence (CS347) – problem solving through state space search AI Tournament Series –FS2006: Backgammon (December 3 rd )

4. Teaching (2): EC Evolutionary Computing (CS301) – stochastic, population-based algorithms inspired by natural evolution theory capable of solving complex problems for which other techniques fail Advanced Evolutionary Computation (CS448)

5. Other AI/EC courses at UMR CS 378 Neural Networks & Applications CS 404 Data Mining & Knowledge Discovery CS 447 Advanced Topics in AI EE 338 Fuzzy Logic Control CpE 301 Computational Intelligence CpE 401 Adaptive Critic Designs EMAN 478 Advanced Neural Networks

6. Research Natural Computation Lab Problem domain: Critical Infrastructure Protection (Cyber Security, Power Grid, Transport Networks) Current project: competitive Darwinian arms races

7. Extracurricular UMR Center for Cyber Defenders Node (affiliated with Sandia National Laboratories, Albuquerque, NM) IEEE Computer Society –UMR IEEE Computer Society chapter ACM –UMR ACM chapter

8. UMR ACM SIG Security Come to the first invited talk 7:00pm, Tuesday, Sep. 19 th Room 209A, CS Building