TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Doctorate Of Science
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	Professor İmdat Kara
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Gain an ability to apply knowledge of mathematics, science, and engineering 2) Gain an ability to identify, formulate, and solve engineering problems 3) Gain an ability to use the techniques, skills, and modern engineering tools necessary engineering practice 4) learn the operational level decisions 5) learn the scheduling problems and their solution methods and gain an ability to make operational level scheduling decisions
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	General-purpose scheduling procedures, time complexities, heuristic methods, deterministic scheduling problems with single-machine, parallel machine and serial work-flow, dynamic scheduling problems and identification of priorities, the overview of other scheduling problems, applications in production systems.
COURSE CONTENTS	WEEK TOPICS 1st Week Basics of Scheduling Problems 2nd Week Common Scheduling Problems 3rd Week Single Machine Scheduling 4th Week Scheduling in Parallel Machines 5th Week Multiple Machine Scheduling 6th Week Flow Shop and Job Shop Scheduling 7th Week Permutation Scheduling 8th Week Midterm 9th Week Scheduling Criteria For Different Systems 10th Week Static and Dynamic Scheduling Rules 11th Week Solution Methods for Scheduling Problems 12th Week Mathematical Models For Scheduling Problems 13th Week Exact Solution Methods 14th Week Heuristic Algorithms
RECOMENDED OR REQUIRED READING	1. Pinedo Michael, (2002) Scheduling: Theory, Algorithms, and Systems; Prentice Hall
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Problem Solving,Practice,Presentation
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 25 Assignment 2 10 Quiz 4 10 Project 1 20 Total(%) 65 Contribution of In-term Studies to Overall Grade(%) 65 Contribution of Final Examination to Overall Grade(%) 35 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz 4 14 56 Individual or group work 14 9 126 Preparation for Final exam 1 20 20 Course hours 14 3 42 Preparation for Midterm exam 1 20 20 Laboratory (including preparation) Final exam 1 2 2 Homework 3 14 42 Total Workload 310 Total Workload / 30 10,33 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No