TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	2
SEMESTER	Fourth Term (Spring)
NUMBER OF ECTS CREDITS ALLOCATED	5
NAME OF LECTURER(S)	Assistant Professor Tusan Derya Instructor Ayşenur Yurtsever
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Have the ability to apply knowledge of mathematics, and computer programming 2) Have the ability to identify, formulate math model, and solve industrial engineering problems 3) Have the ability to use the techniques, skills, and modern engineering tools necessary for industrial engineering implementation
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	Yes(BİL102)
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Algorithms, growth of functions, complexity of algorithms, integers and algorithms, number theory, recursive structures, relations, graphs and graph theory, Euler and Hamilton paths, shortest path problems, graph coloring and trees.
COURSE CONTENTS	WEEK TOPICS 1st Week Algorithms 2nd Week Asymptotic notations, Complexity of algorithms 3rd Week Search and sort algorithms 4th Week Matrices, Number Theory and Applications 5th Week Recursive Structures and Algorithms 6th Week Graph Theory, networks and network dependability 7th Week The shortest path problem, minimum spanning tree problem and Algorithms 8th Week Midterm Exam 9th Week Tours and paths on Euler and Hamilton networks 10th Week Traveling salesman problem and Solution Algorithms 11th Week Vehicle Routing Problem 12th Week Assembly Line Balancing Problem 13th Week Project Management 14th Week Applications
RECOMENDED OR REQUIRED READING	Kenneth H. Rosen, Discrete Mathematics and its Applications, 5. baskı, McGraw-Hill
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Presentation,Practice
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Quiz 4 40 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 4 8 32 Individual or group work 14 2 28 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 Total Workload 146 Total Workload / 30 4,86 ECTS Credits of the Course 5
LANGUAGE OF INSTRUCTION
WORK PLACEMENT(S)	No