ࡱ> KMJ  bjbjR|R| GD00P Z fffzzz8DLzR(nB:||||$$$'''''''$)r,'f$"$$$'ff|| ($$$$pf|f|'$$'$$u&hi'|BRp&'"(0R(&|,(, i'i',f}'@$$$$$$$$''$$$$R($$$$,$$$$$$$$$ : Omnibus* Course Syllabus School of Letters, Art, and Sciences Department: Mathematical & Computer Sciences Instructor: Judith S. Gurka Prefix and Course Number: CS 390J Semester/year offered: Spring 2014 Banner Number (for Academic and Student Affairs use):__________________________ (Students registering after Census date will be ineligible for the COF stipend and must pay the full tuition for the omnibus course. Please see COF-FAQ for details regarding registration deadlines:  HYPERLINK "http://www.mscd.edu/news/cof/cof_faq.htm" http://www.mscd.edu/news/cof/cof_faq.htm) Course Title: Bio-Inspired Computing Credit Hours: 4 (4 + 0) Total Contact Hours per semester (assuming 15-16 week semester): Lecture 60 Lab 0 Internship 0 Practicum 0 Other : Additional Student work hours 120 Meeting Times/Dates: T/Th 12:001:50 Grading Mode(s): Letter Schedule Type(s): Lecture Prerequisites: CS 2400 and 8 hours upper-division CS courses, with grades of C or better, or permission of instructor Corequisites: none Banner Enforced: Prerequisite(s): CS 2400 with grade of C or better Corequisite(s): none Prerequisite(s) or Corequisite(s): none Course Description: This course will cover several different bio-inspired computing paradigms and their associated algorithms, including genetic programming, neural network programming, and swarm intelligence. Students will read, write, and experiment with programs in each area. Required Reading Materials Floreano & Mattiussi (2008), Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies, Cambridge, MA: MIT Press (or similar text) and course notes Evaluation of Student Performance (format - 1, a, i, ii, etc.): Programs, writing and reading Exercises Tests Final Exam Specific Measurable Student Behavioral Learning Objectives (format - 1, a, i, ii, etc.): Design, create, and test programs Read and analyze existing programs for semantics and efficiency Compare and evaluate paradigms for problem suitability Assess alternative versions of algorithms Detailed outline of course content (major topics and subtopics) or outline of field experience/ internship (experience, responsibilities and supervision) (format I, A, 1, a, etc.) please see note below: Genetic paradigm Biological foundations Genetic algorithms: selection, crossover, mutation Fitness functions Algorithm analysis Application programming problems Neural networks History Learning: supervised, unsupervised, reinforced Feedforward networks, recurrent networks Algorithm analysis Application programming problems Emergent systems / swarm intelligence Ant colonies, flocking Algorithm analysis Application programming problems ADA Syllabus Statement The Metropolitan State University of Denver is committed to making reasonable accommodations to assist individuals with disabilities in reaching their academic potential. If you have a disability which may impact your performance, attendance, or grades in this class and are requesting accommodations, then you must first register with the Access Center, located in the Auraria Library, Suite 116, 303-556-8387. The Access Center is the designated department responsible for coordinating accommodations and services for students with disabilities. Accommodations will not be granted prior to my receipt of your faculty notification letter from the Access Center. Please note that accommodations are never provided retroactively {i.e., prior to the receipt of your faculty notification letter.) Once I am in receipt of your official Access Center faculty notification letter, I would be happy to meet with you to discuss your accommodations. All discussions will remain confidential. Further information is available by visiting the Access center website,  HYPERLINK "http://www.msudenver.edu/access/" msudenver.edu/access/.  Excerpt from METROPOLITAN STATE UNIVERSITY OF DENVER GUIDELINES FOR THE PROTECTION OF HUMAN SUBJECTS Available in full on the website:  HYPERLINK "http://www.msudenver.edu/irb/gettingstarted/studentresearch/" http://www.msudenver.edu/irb/gettingstarted/studentresearch/ *** This required course content MUST be part of the Detailed outline of course content section of the independent study course syllabus OR a statement must be attached that clearly states how the proper procedures have been followed by the course instructor and/or the student. The Associate VP for Academic and Student Affairs cannot sign an independent study syllabus that appears to involve human subjects and/or personal data unless this information is provided.  note: If the omnibus course includes student and/or course instructor research that involves (1) interviewing subjects and/or (2) handling personal data and/or (3) topics which could be viewed as sensitive (e.g., personal political views, health data, sexuality, etc.), then approval by the Office of Academic and Student Affairs will require assurance that the guidelines described at the end of this document have been followed.     Metropolitan State UNIVERSITY OF Denver Office of Academic and Student Affairs Form rev. 10/12 Approved - Omnibus course: _________________________________________________________ __________________ Department Chair OR Program Director Date _________________________________________________________ __________________ Dean OR Associate Dean of School Date _________________________________________________________ __________________ Office of Academic and Student Affairs Designee Date Approved - Field Experience/Internship Only: ______________________________________________________________________________ Location of Internship _________________________________________________________ __________________ Faculty Evaluation Group Date _________________________________________________________ __________________ Field Supervisor** Date **Approval by the Field Supervisor is required and must be indicated by the original signature of that supervisor on the syllabus. *Guidelines as set forth in Section V. 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