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Course Criteria
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3.00 Credits
Introduction to Markov Decision Processes and Dynamic Programming. Application to Inventory Control and other optimization and control topics. Prerequisite: Graduate standing in background of probability or statistics. (Co-listed with Mech Eng 447, Aero Eng 457, Eng Mgt 457 and Comp Sci 457)
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3.00 Credits
Review of Neurocontrol and Optimization, Introduction to Approximate Dynamic Programming (ADP), Reinforcement Learning (RL), Combined Concepts of ADP and RL - Heuristic Dynamic Programming (HDP), Dual Heuristic Programming (DHP), Global Dual Heuristic Programming (GDHP), and Case Studies. Prerequisite: Elec Eng 368 Neural Networks or equivalent (Computational Intelligence Comp Eng 301) (Co-listed with Elec Eng, Mech Eng, Aero Eng and Sys Eng 458)
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3.00 Credits
Organization and planning of research. Introduction to the philosophy and management of scientific research, particularly issues related to ethics, plagiarism, ownership of intellectual properties, research techniques, technical presentations and time management. The course will address these issues by integrating with case studies. (Co-listed with Chem Eng 425, IDE 425, Civ Eng 485, Env Eng 485, Elec Eng 481)
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3.00 Credits
This course covers advanced topics in robotics, including perception, robotic path planning, robotic system integration, and computational intelligence topics for robotics. A term project including both written and oral components will be required. Prerequisite: A "C" or better in either Comp Sci 345 or Mech Eng 349 or Aero Eng 349. (Co-listed with Comp Sci 445 and Elec Eng 488)
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1.00 - 15.00 Credits
Investigations of an advanced nature leading to the preparation of a thesis or dissertation. Prerequisite: Consent of the instructor required.
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0.00 Credits
After completion of all other program requirements, oral examinations for on-campus M.S./Ph.D. students may be processed during intersession. Off-campus M.S. students must be enrolled in oral examination and must have paid an oral examination fee at the time of the defense/comprehensive examination (oral/ written). All other students must enroll for credit commensurate with uses made of facilities and/or faculties. In no case shall this be for less than three (3) semester hours for resident students.
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1.00 Credits
Doctoral candidates who have completed all requirements for the degree except for the dissertation, and are away from the campus, must continue to enroll for at least one hour of credit each registration period until the degree is completed. Failure to do so may invalidate the candidacy. Billing will be automatic as will registration upon payment.
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1.00 Credits
This course is devoted to an introduction of various areas of Computer Science, the faculty members, and lab equipment. Computer ethics will be discussed in several lectures.
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0.00 - 6.00 Credits
This course is designed to give the department an opportunity to test a new course. Variable title.
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3.00 Credits
A rigorous treatment of topics from discrete mathematics which are essential to computer science. Principal topics include: formal logic (propositional & predicate), proof techniques, mathematical induction, program correctness, sets, combinatorics, probability, relations, functions, matrices, graph theory and graph algorithms. Prerequisite: Comp Sci 53 or at least sophomore standing.
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