more courses in Computer & Systems engineering


	COURSE DESCRIPTION


	more courses in Computer & Systems engineering ! CSE 472 Robot Systems _{4th Year: Electrical Engineering - Computer & Systems Hrs/Week: [(0+0) + (3+2)] Marks: [(0+0+0) + (90+35+0)] = 125} Course Contents Introduction, Robot arm kinematics, the direct kinematics problems. The reverse kinematics solution. Robot arm dynamics, General dynamic equation, Control of robot arms. Planning of manipulator motion. Robot programming languages: Characteristics of robot-level languages and characteristics of task-level languages. Robot intelligence and task planning. Expert systems and knowledge engineering in robot’s applications. References: Health, Fundamentals of Robotics, Theory and Applications, Reston P. C., 1985. Computer & Systems Engineering Wolovich, W. A., Robotics, Basic Analysis and Design, Holt, Rinehart and Winston, 1987. Chernousko, F. L.; Bolotnik, N. N. and Gradetsky, V. G., Manipulation Robots Dynamics, Control and Optimization, CRC Press, 1993. Murray, R.; Li, Z. and Sastry, S., A Mathematical Introduction to Robotic Manipulation, CRC Press, 1994. Gorinevsky, D.; Formalsky, A. and Schneider, A., Force Control of Robotics Systems, CRC Press, 1997. CSE 473 Digital Control _{4th Year: Mechanical Engineering - Mechatronics (2nd Term) Hrs/Week: [(0+0) + (4+2)] Marks:[(0+0+0) + (110+40+0)] = 150} Course Contents Introduction, Sampled data systems, Z-transform and its properties, Inverse of Z- transform, Closed loop performance and stability, Digital PID control design, Pole placement digital control, Independent regulation and tracking pole placement control, Applications. References: Phillips Charles, L., Nagle Troy, H. and Nagle H. Troy, Digital Control System Analysis and Design, 3rd Ed., Prentice Hall, 1994. Ogata, K., Solving Control Engineering Problems with MATLAB, Prentice Hall Inc., 1994. CSE 474 Industrial Control _{4th Year: Electrical Engineering - Computer & Systems Hrs/Week: [(3+2) + (0+0)] Marks: [(90+35+0) + (0+0+0)] = 125} Course Contents Dynamic elements in the control loop (dead time, capacity, lag), Characteristics of real processes, Nonlinear elements in the loop, Analysis of some common loops (flow control loop-pressure control loop-liquid level control loop, temperature control loop). Controllers, Linear controllers (PI, PID, complementary feedback controller). Digital control systems, Nonlinear controllers (on, off controller, the dual mode concept, nonlinear PID controller). Improved control through multiple loops, Including cascade control, Multiple output control system, Selective control loops and adaptive control systems. Feed forward control, Ratio control, Dynamic compensation, Effects of interaction, Decoupling. References: Shinskey, F.G., Feedback Controllers for the Process Industries, McGraw Hill, 1994. Shinskey, F.G., Process Control Systems: Applications, Design and Tuning, 4th Ed., McGraw Hill, 1996. Bateson, Robert N., Introduction to Control System Technology, Prentice Hall, 1999. CSE 475 Advanced Control Systems _{4th Year: Mechanical Engineering - MechatronicsHrs/Week: [(0+0) + (3+1)] Marks: [(0+0+0) + (70+30+0)] = 100} Course Contents Introduction, Controllability and observability, Performance measures, Optimal control using pontryagin's maximum principle, Nonlinear control and the describing function, Parameter estimation and linear parametric model identification by least squares, Multivariable control, Robust control, Intelligent control, Control integration, Applications. References: Ching Fang Lin, Advanced Control Systems Design, Prentice Hall Inc., 1994. Astrom, K.J. and Wittenmark, B., Adaptive Control, 2nd Ed., Addison Wesley, 1995. Dorf, Richard C. and Bishop, Robert H., Modern Control Systems, Addison Wesley, 1995. Jain, L. C. and Silva, C. W., Intelligent Adaptive Control: Industrial Applications, CRC Press, 1998. CSE 481 Artificial Intelligence _{4th Year: Electrical Engineering - Computer & Systems (2nd Term)Hrs/Week: [(0+0) + (3+2)] Marks:[(0+0+0) + (90+35+0)] = 125} Course Contents Introduction to AI. Introduction to AI languages. Problem solving, State space representation, Search, Heuristics, Game playing, Knowledge representation, Production systems, Logic, Probabilistic reasoning, Frames. Applications. References: Winston, P.H., Artificial Intelligence, Addison Wesley Publishing Co., 1992. Russel and Norvig, Artificial Intelligence: A Modern Approach, Prentice Hall, 1995. Krishnamoorthy, C.S. and Rajeev, S., Artificial Intelligence and Expert Systems for Engineers, CRC Press, 1996. Giarratano, Joseph C., Expert Systems: Principles and Programming, 3rd Ed., Brooks Cole, 1998. CSE 482 Expert Systems _{4th Year: Electrical Engineering - Computer & Systems Hrs/Week: [(3+2) + (0+0)] Marks: [(90+35+0) + (0+0+0)] = 125} Course Contents Architecture of expert systems and their basic components. Knowledge representation and reasoning (propositional and predicate calculus and resolution as an inferencing mechanism). Probabilistic and graph theoretic considerations related to expert systems (modelling human reasoning, reasoning under uncertainty, The principle of maximum entropy, directed acyclic graphs). Rule based expert systems (representation of uncertainty, inference networks). Typical examples. Causal or belief networks for expert systems (probability propagation, typical examples). Using prolog in expert systems (Prolog's inference engine, backward chaining with uncertainty, forward chaining, applications). References: Merritt, D., Building Expert Systems in Prolog, Springer Verlag, 1989. Neapolitan, R. E., Probabilistic Reasoning in Expert Systems, Wiley, 1990. Krishnamoorthy, C.S. and Rajeev, S., Artificial Intelligence and Expert Systems for Engineers, CRC Press, 1996. Nilsson, N. J., Artificial Intelligence: A New Synthesis, Morgan Kaufmann, 1998. Russell Stuart, J. and Peter Norvig, Artificial Intelligence: A Modern Approach, 2nd Ed., Prentice Hall, 2002. CSE 483 Intelligent Control Systems _{4th Year: Electrical Engineering - Computer & Systems Hrs/Week: [(0+0) + (3+2)] Marks: [(0+0+0) + (90+35+0)] = 125} Course Contents Introduction to intelligent control, Introductory fuzzy logic, Fuzzy logic controller structure and design, Self organizing fuzzy logic control. Principles of neural networks, Network topology and learning techniques, Neural networks for control and modelling. Neuro fuzzy control systems, Advanced applications in engineering domain. References: Harris, C. J.; Moore, C. G. and Brown, M., Intelligent Control Aspects of Fuzzy Logic and Neural Nets, World Scientific Publishing Co., 1993. Jang, J-S R., C-T S. and Mizutani, E., Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence, Prentice Hall Inc., 1997. Jain, L.C. and Silve, C.W., Intelligent Adaptive Control: Industrial Applications, CRC Press, 1998. CSE 499 Project _{4th Year: Electrical Engineering - Computer & Systems (Cont.) Hrs/Week: [(1+1) + (1+5)] Marks:[(0+25+0) + (0+75+100)] = 200} Course Contents The student deals with the analysis and design of a complete engineering system using the fundamentals, Principles and skills he gained during his study. The project's report presented by the student should include the details of the analysis and design satisfying the concerned code requirements, The computer applications as well as the experimental work when necessary, In addition to the technical engineering drawing of his design. Throughout the project report and at oral the exam, The student should prove his complete understanding of the elements of the project and his capability to apply them in his future engineering career. References: Selected References, Scientific Papers, Research Reports, Manuals, Catalogues, Software Packages.