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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS CME 4417 SIMULATION AND MODELING ELECTIVE 2 2 0 6

Offered By

Computer Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR RECEP ALP KUT

Offered to

Computer Engineering

Course Objective

The aim of the course is to learn the basics of building a computer simulation model that "behaves like" or simulates the real system.

Learning Outcomes of the Course Unit

1   Have a good knowledge in simulation and modelling subject 2   Knowledge in recognise and solve simulation problems 3   Conduct interdisiplinary team works 4   Solve engineering problems by using simulation knowledge 5   Analyze the results of simulation modelling 6   Use simulation computer package programme and to interprete the output

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Definition and overview 2 Systems 3 Models 4 Introduction to GPSS and Comments 5 GPSS Comments (cont.) 6 Simple Queueing Models 7 Solving Example Questions, Midterm 8 Random Numbers 9 Random Numbers (cont.) 10 Statistical Inverstigation of program outputs 11 Applications 12 Solving Example Questions 13 Advance Commands in Gpss 14 ProModels

Recomended or Required Reading

1. System Simulation, Geoffrey Gordon. 2. Computer Simulation and Modelling. Francis Neelamkovil. 3. Simulation using, Promodel. C. Harrell, Biman K. Ghosh, Royce O. Bowden 4. Simulation with GPSS and GPSS V. P.A. Bobillier, B.C. Kahan, A.R. Probst.

Planned Learning Activities and Teaching Methods

Lectures Presentation Guided problem solving Project

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 PRJ PROJECT 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.25 + PRJ * 0.25 + FIN * 0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 + PRJ * 0.25 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

Midterm (%25) + Project (%25) + Final exam (%50)

Language of Instruction

English

Course Policies and Rules

Participation is mandatory.

Contact Details for the Lecturer(s)

Prof.Dr. Alp KUT DEU Eng. Fac. Computer Engineering. Tınaztepe campus Buca-Izmir alp@cs.deu.edu.tr

Office Hours

Monday 13:00-15:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 2 28 Tutorials 14 2 28 Preparation for midterm exam 2 12 24 Project Preparation 1 36 36 Preparation for final exam 1 16 16 Preparations before/after weekly lectures 14 1 14 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 150

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 LO.1 4 4 3 3 3 LO.2 3 4 3 LO.3 3 4 3 3 LO.4 4 3 LO.5 3 4 3 3 LO.6 3 3 3 3 3