TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Master's Degree With Thesis
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	Assistant Professor Tusan Derya
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Can define scheduling problems. 2) Will be able to determine the performance measure in scheduling problems. 3) Develop suitable solution approaches for different scheduling problems. 4) Interpret solutions to scheduling problems 5) Can sort different jobs according to different criteria. 6) Can assign multiple jobs to machines according to different criteria.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE DEFINITION
COURSE CONTENTS	WEEK TOPICS 1st Week Introduction to sequencing and scheduling, Notation, Classification of scheduling problems, performance criteria, Complexity 2nd Week Single Machine Scheduling Problem Optimization Methods for Single Machine Scheduling Problem 3rd Week Heuristic Methods for the Machine Scheduling Problem 4th Week Metaheuristic Methods for the Machine Scheduling Problem 5th Week Premature and Late Penalties for Machine Scheduling Problem 6th Week Extending the Basic Model 7th Week Parallel Machine Scheduling Problem 8th Week Flow Type Scheduling Problem and Optimization Methods 9th Week Midterm 10th Week Heuristic Methods for the Flow Type Scheduling Problem 11th Week Metaheuristic Methods for the Flow Type Scheduling Problem 12th Week The Labor Party Split Approach 13th Week Scheduling of Workgroups 14th Week Workshop Scheduling Problem and Optimization Methods
RECOMENDED OR REQUIRED READING	1.Baker KR, Trietsch D., Principles of sequencing and scheduling. John Wiley & Sons, Inc., New Jersey, 2009. 2.Pinedo M., Scheduling: Theory, algorithms, and systems, 3rd edn. Prentice-Hall Inc., New Jersey, 2008.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Powerpoint sunuları ile desteklenmiş etkileşimli anlatım.
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 20 Quiz 1 25 Project 1 25 Total(%) 70 Contribution of In-term Studies to Overall Grade(%) 70 Contribution of Final Examination to Overall Grade(%) 30 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz 1 14 14 Individual or group work 14 13 182 Preparation for Final exam 1 25 25 Course hours 14 3 42 Preparation for Midterm exam 1 25 25 Laboratory (including preparation) Final exam 1 2 2 Homework 1 14 14 Total Workload 306 Total Workload / 30 10,2 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No