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CS 1 – Introduction to Computer Science

Join Dr. Daniel Tauritz in exploring the world of Artificial Intelligence and Evolutionary Computing through state space search, population-based algorithms, and more. Take part in research projects and extracurricular activities related to critical infrastructure protection, automated software engineering, and intrusion detection systems.

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CS 1 – Introduction to Computer Science

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

  2. Teaching (1): AI • Introduction to Artificial Intelligence (CS347) – problem solving through state space search • AI Tournament Series • FS2007: Mancala (December 1st)

  3. Teaching (2): EC • Evolutionary Computing (CS301/CS348) stochastic, population-based algorithms inspired by natural evolution theory capable of solving complex problems for which other techniques fail • Advanced Evolutionary Computing (CS448)

  4. 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

  5. Natural Computation Lab Research Projects • Critical Infrastructure Protection • Automated Software Engineering • Intrusion Detection Systems • Inverse Diffusion Analysis • Intelligent System to Dynamically Optimize Simulations for Mixed-Granularity Distributed Environments • Autonomous Evolutionary Algorithms

  6. 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

  7. UMR ACM SIG Security Come to the meetings every other week Tuesdays 7:00pm Room 209A, CS Building

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