COURSE SYLLABUS Course Number: MATH 6690 Course Title: Introduction to Chaotic and Random Phenomena Credit Hours: 3 Prerequisites: MATH 1620 Corequisite: Course Content/Objectives: * Statistics and modeling of random phenomena in connection to computational complexity, data analysis, processes of chance, and chaotic nonlinear systems. * Computer simulation and experimenting within Mathematica, supported by Internet resources. week 1. Introduction to Mathematica 2. Data types (categorical, numerical, multidimensional, fractal) 3. Order statistics, quantiles, means, scatter, moments 5. Graphic representations 6. Correlation and regression 7. Fractals, entropy, Hausdorff dimension 8. Repeated experiments and the law of large numbers 9. Distribution functions. Monte Carlo methods 10. 0-1 random variables. Poisson and Gaussian approximation 11. Basic estimation and testing 12. When is random - random? 13. Computational complexity of random strings 14. Dynamical systems, orbits, ergodicity 15. Chaos in dynamical systems, attractors, fractals Possible Textbook: M. Denker and W.A. Woyczynski, Introductory Statistics and Random Phenomena, Birkhauser, Boston 1998 Mathematica help: S. Wolfram, The Mathematica Book, Wolfram Media, Champaign, IL, 1966; plus other listed on page 52 of the textbook. Mathematica packages can be downloaded from publisher's UVW Web Site http://www.birkhauser.com/book/isbn/0-8176-4031-2. Grading and Evaluation Procedures: Series of projects, augmented by quizzes. The number, the weight of projects (e.g., more elaborate midterm and final projects), and detail criteria are to be specified by the instructor at the beginning of the semester. Statement related to policies on unannounced quizzes and class attendance: Particular policies on unannounced quizzes, class participation, homework depend upon an instructor and are announced at the beginning of the semester. ??