SPRING 2008

We will offer the following course on the University of Alaska Anchorage campus during the Spring 2008 semester. You may register for University of Alaska Anchorage courses directly through our website. Please feel free to contact the Complex Systems Group at 907.786.4748 should you require additional assistance.

BIOL/CPLX A200 (Introduction to Complexity)
An introduction to the science of complexity, currently used to predict system behavior in the physical, life, and social sciences. Emphasis is placed on complex systems in Biology.
Instructor: Dr. Kim Peterson
January 14 - May 3
Monday/Wednesday, 10:00 AM to 11:15 AM, Eugene Short Hall Room 101
Course registration number: 35870 to register for BIOL prefix

COURSES OFFERED DURING PREVIOUS SEMESTERS INCLUDE:

University of Alaska Anchorage

BIOL A200 (Introduction to Complexity)
An introduction to the science of complexity, currently used to predict system behavior in the physical, life, and social sciences. Emphasis is placed on complex systems in biology.
Instructor: Dr. Ben Curtis
Matanuska-Susitna College

BIOL A485/A685 (Biocomplexity/Advanced Biocomplexity)
An exploration of the applications of complexity theory to topics in biology. Topics to be considered include scaling laws in biology, self-organization, agent-based models of biological patterns and evolutionary processes, bioinformatics and information dynamics in biological systems, and algorithms as a theoretical basis for interpreting biology. Includes a student-directed agent-based modeling project.
Instructor: Dr. Kim Peterson

CS A351 (Automata, Algorithms, and Complexity)
Study of the theory of computing and algorithm analysis and design. Topics include: context-free grammars and parsing, finite automata and regular languages; pushdown automata and context-free grammars, deterministic and nondeterministic Turing machines, decidability, and computability. In the algorithm domain, the course provides an introduction to analysis and complexity of algorithms, searching/sorting algorithms, mathematical algorithms, and graph theoretic algorithms. Introduction to complexity theory.
Instructor: Dr. Kenrick Mock

CHEM A453 (Inorganic Chemistry II)
A study of structures, bondings, and reaction mechanisms of d- and f-block elements.
Instructor: Dr. Jerzy Maselko

LOG A662 (Supply Chain Knowledge Management)
Study of techniques for managing the information system used within the community of practitioners operating in the global supply chain.
Instructor: Dr. Hermann Gruenwald

LOG A665 (Supply Chain Measurement)
Study of the tools needed to measure and sell the value created by logistics throughout the supply chain. An evaluation of factors of complexity and their impact on the creation of this value. Physical valuation will be determined through the techniques of supply chain modeling and computer-based simulation. Financial valuation will be determined through activity-based cost accounting and capital budgeting techniques.
Instructor: Dr. Oliver Hedgepeth

ESM A694C (Knowledge Management for Engineers):
Description: Study of analysis of the impacts of socio-contextual issues of computing technology for engineering management.
Instructor: Dr. Oliver Hedgepeth

CS A405 (Artificial Intelligence):
Description: An introduction to the basic concepts of artificial intelligence. Topics include expert systems, natural language processing, machine learning and survey of AI programming languages with emphasis on LISP and PROLOG. Instructor: Dr. Kenrick Mock

CS A450 (Automata, Languages, and Computability):
Description: Study of the theory of computing. Topics include context-free grammars and parsing; finite automata and regular languages; pushdown automata and context-free grammars, deterministic and nondeterministic Turing machines; decidability and computability; complexity classes and complete problems.
Instructor: Dr. Kenrick Mock

PHYS/CHEM/BIOL A456 (Nonlinear Dynamics and Chaos): offered every Fall semester
Description: An introduction to nonlinear dynamics and chaos. Concrete examples from Physics, Biology, Chemistry, and Engineering are used to develop analytical methods and geometric intuition. Topics covered include phase plane analysis, interated maps, fractals and strange attractors. *Please note that you may also register for this course as BIOL A456 or CHEM A456. The option is yours, and perhaps the greatest decision will be deciding which prefix (Physics, Biology, or Chemistry) you would like to appear on your transcript. Course content and lecture times will remain unchanged regardless of which option you select.
Instructor: Dr. Jim Pantaleone

Alaska Pacific University

PH 301 (Philosophy of Science at Alaska Pacific University)
Instructor: Dr. Mark Faller
Description: Study the practice, philosophy, and theory of science and its history as they pertain to the particular study of the development of the model of time in order to appreciate how the various aspects of science work together in the pursuit of knowledge. The class will attempt to elaborate on how the model of time that has emerged in the 20th century has facilitated the new sciences of Chaos Theory and Complexity Theory, as well as set the context for new battles about the Theory of Evolution.