TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	5
NAME OF LECTURER(S)	Assistant Professor Tusan Derya
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Have the ability to apply knowledge of mathematics, science, and engineering 2) Have the ability to identify, formulate, and solve engineering problems 3) Have the ability to use the techniques, skills, and modern engineering tools necessary engineering practice. 4) Learns the operational level decisions 5) Learns the scheduling problems and their solution methods, able 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	In this course, scheduling and sequencing (scheduling theory) problems and basic formulations for these problems are covered. General solution approaches for scheduling problems in systems with single machine, paralel machine and multiple machines are examined. Optimisation and heuristic methods used for these problems are discussed. Relations between vehicle routing and scheduling problems and problems having penalty functions for early and tardy jobs are included as special scheduling problems.
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 Scheduling Criteria For Different Systems 9th Week Midterm 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	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 30 Assignment 1 15 Quiz 1 10 Attendance 1 5 Total(%) 60 Contribution of In-term Studies to Overall Grade(%) 60 Contribution of Final Examination to Overall Grade(%) 40 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz 1 4 4 Individual or group work 14 2 28 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 8 8 Total Workload 136 Total Workload / 30 4,53 ECTS Credits of the Course 5
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No