Simulation and Modeling Course Outcome (CO) of At the end of this course students will have: CO1: To provide an in-depth understanding of the terminology of modeling and simulation CO2: To equip our students with technical concept of simulation, simulation models and gives practical examples for each category CO3: Develop a modeling strategy for a real world engineering system, which considers prediction and evaluation against design criteria, and integrates any required sub-system models. CO4: Interpret the simulation results of an engineering system model, within the context of its capabilities and limitations, to address critical issues in an engineering project MAPPING COURSE OUTCOMES LEADING TO THE ACHIEVEMENT OF PROGRAM OUTCOMES AND PROGRAM SPECIFIC OUTCOMES: Program Outcome Program Course Specifice Outcome Outcome PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2 PSO3 CO1 H H CO2 L H M CO3 H M M M L CO4 M L H = Highly Related; M = Medium L = Low Text Books: 1.Jerry Banks, John S. Carson II, Barry L. Nelson and David M. Nicol, Discrete-Event System Hall of India, New Delhi, 2005 and Simulation,Prentice 2.Averill M. Law, Tata McGraw Hill India, 20073.David Simulation modeling and analysi (SIE), Cloud, Larry Rainey, Applied Tata McGraw Hill, India. Modeling and Simulation, Reference Books: 1.Gabriel A. Wainer, Discrete-event modeling and simulation: a practitioner's approach, CRC Press, 2009. 2. Bernard P. Zeigler, Herbert Praehofer, Tag Gon Kim, Theory of modeling and simulation: integrating discrete event and continuous complex dynamic systems, Academic Press, 2000. 3. Averill M. Law, W. David Kelton, Simulation modeling and analysis, McGraw Hill, 2000. 4. Walter J. Karplus, George A. Bekey, Boris YakobKogan, Modeling and simulation: theory and practice, Springer, 2003. 5.StanislawRaczynski, Modeling and simulation: the computer science of illusion, Wiley, 2006. 6.MohammadSalamehObaidat, Georgios I. Papadimitriou, Applied system simulation: methodologies an application, Springer, 2003.
Course Outcome (CO) of Simulation and Modeling At the end of this course students will have: CO1: To provide an in-depth understanding of the terminology of modeling and simulation CO2: To equip our students with technical concept of simulation, simulation models and gives practical examples for each category CO3: Develop a modeling strategy for a real world engineering system, which considers prediction and evaluation against design criteria, and integrates any required sub-system models. CO4: Interpret the simulation results of an engineering system model, within the context of its capabilities and limitations, to address critical issues in an engineering project MAPPING COURSE OUTCOMES LEADING TO THE ACHIEVEMENT OF PROGRAM OUTCOMES AND PROGRAM SPECIFIC OUTCOMES: Course Outcome Program Outcome Program Specifice Outcome PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2 PSO3 CO1 H H CO2 L H M CO3 H M M M L CO4 M L H = Highly Related; M = Medium L = Low Text Books: 1.Jerry Banks, John S. Carson II, Barry L. Nelson and David M. Nicol, Discrete-Event System and Simulation,Prentice Hall of India, New Delhi, 2005 2.Averill M. Law, Simulation modeling and analysi (SIE), Tata McGraw Hill India, 20073.David Cloud, Larry Rainey, Applied Modeling and Simulation, Tata McGraw Hill, India. Reference Books: 1.Gabriel A. Wainer, Discrete-event modeling and simulation: a practitioner's approach, CRC Press, 2009. 2. Bernard P. Zeigler, Herbert Praehofer, Tag Gon Kim, Theory of modeling and simulation: integrating discrete event and continuous complex dynamic systems, Academic Press, 2000. 3. Averill M. Law, W. David Kelton, Simulation modeling and analysis, McGraw Hill, 2000. 4. Walter J. Karplus, George A. Bekey, Boris YakobKogan, Modeling and simulation: theory and practice, Springer, 2003. 5.StanislawRaczynski, Modeling and simulation: the computer science of illusion, Wiley, 2006. 6.MohammadSalamehObaidat, Georgios I. Papadimitriou, Applied system simulation: methodologies an application, Springer, 2003.