System Modeling and Simulation (SE 360) Course Details

Transcription

1 System Modeling and Simulation (SE 360) Course Details Course Name Course Code Term Lecture Hours Application Hours Lab Credit ECTS Hours System Modeling and Simulation SE 360 Both Pre-requisite Course(s) IE220 Course Language Course Type Course Level Mode of Delivery Learning and Teaching Strategies English Technical Elective Courses Bachelor Face to Face Lecture Course Coordinator

2 Course Lecturer(s) Course Assistants Course Objectives Course Learning Outcomes Course Content The objective of this course is to introduce fundamental principles and concepts in the general area of systems modeling and simulation The students who succeeded in this course; Recognize the principles of simulation Design and develop simulation models of various types Dynamic Simulations. Providing custom-made data types, operators and control structures for simulation. Model generators. Simulation Programming Landscape. Simulation Problems. Weekly Subjects and Releated Preparation Studies Week Subjects Preparation 1 Introduction to Simulation Chap. 1 (main text) 2 Simulation Examples Chap. 2 3 General Principles and Examples Chap. 3 4 Simulation Software Chap. 4 5 Statistical Models in Simulation Chap. 5 6 Statistical Models in Simulation Chap. 5 7 Queueing Models Chap. 6 8 Queueing Models Generating Chap. 6 9 Random-Number Generation Chap Random-Variate Generation Chap Girdi Modellemesi Chap. 9

3 12 Input Modeling Chap Case study 14 Case study 15 Final Examination Period Review of topics 16 Final Examination Period Review of topics Sources Course Book: Other Sources: 1. Discrete-Event System Simulation (Fourth Edition), Banks, Carson, Nelson, and Nicol, Prentice-Hall, Simulation Modeling and Analysis (Third Edition), Law and Kelton, McGraw Hill, Simulating Computer Systems: Techniques and Tools, M.H. MacDougall, MIT Press Series in Computer Systems, Ross, Sheldon M. (2001), Simulation, Academic Press 4. Banks, J. Handbook of simulation: Principles, methodology, advances, applications and practice. Wiley, J.B. Sinclair, Simulation of Computer Systems and Computer Networks: A Process-Oriented Approach, 2004 Evaluation System Requirements Number Percentage of Grade Attendance/Participation - - Laboratory - - Application - -

4 Field Work - - Special Course Internship - - Quizzes/Studio Critics - - Homework Assignments - - Presentation - - Project 1 30 Seminar - - Midterms Exams/Midterms Jury 1 30 Final Exam/Final Jury 1 40 Total Percentage of Semester Work 60 Percentage of Final Work 40 Total 100 Course Category Core Courses Major Area Courses Supportive Courses Media and Managment Skills Courses

5 Transferable Skill Courses The Relation Between Course Learning Competencies and Program Qualifications # Program Qualifications / Competencies Level of Contribution An ability to apply knowledge of computing, sciences and mathematics to solve software engineering problems. 2 An ability to analyze and model a domain specific problem, identify and define the appropriate software requirements for its solution. 3 An ability to design, implement and evaluate a software system, component, process or program to meet specified requirements. 4 An ability to use the modern techniques and engineering tools necessary for software engineering practices. 5 An ability to gather/acquire, analyze and interpret data to understand software requirements. 6 The ability to demonstrate the necessary organizational and business skills to work effectively in inter/inner disciplinary teams or individually. 7 An ability to communicate effectively in Turkish and English.

6 8 Recognition of the need for, and the ability to access information, to follow recent developments in science and technology and to engage in life-long learning. 9 An understanding of professional, legal, ethical and social issues and responsibilities. 10 Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards and methodologies. 11 An understanding about the impact of software engineering solutions in a global societal and legal context. 12 An ability to apply algorithmic principles, mathematical foundations, and computer science theory in the modeling and design of computer-based systems with the tradeoffs involved in design choices. 13 The ability to apply engineering approach to the development of software systems by analyzing, designing, implementing, verifying, validating and maintaining software systems. ECTS/Workload Table Activities Number Duration (Hours) Total Workload Course Hours (Including Exam Week: 16 x Total Hours) Laboratory Application Special Course Internship

7 Field Work Study Hours Out of Class Presentation/Seminar Prepration Project Homework Assignments Quizzes/Studio Critics Prepration of Midterm Exams/Midterm Jury Prepration of Final Exams/Final Jury Total Workload 151