TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	1
SEMESTER	First Term (Fall)
NUMBER OF ECTS CREDITS ALLOCATED	6
NAME OF LECTURER(S)	Associate Professor Nurcan Alkış Bayhan
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Design and analyze simple algorithms. 2) Describes and analyzes elementary sorting algorithms 3) Understand and restate the fundamentals of basic data structures. 4) Comprehend basic ADTs such as stacks, queues, and trees 5) Develops skills in implementations of basic data structures.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE DEFINITION	This course covers various data structures, models and algorithms based on the C programming language. It is a course for programmers or software developers of all levels who develop programs / software, design software for the business world, and want to model mathematical and engineering problems in the computer environment. Data Structures and Algorithms course aims to provide students with the skills of programming at the introductory level, setting up algorithms and understanding its logic.
COURSE CONTENTS	WEEK TOPICS 1st Week Introduction 2nd Week Algorithmic approach and C language 3rd Week Data structures and data models 4th Week Algorithmic Program Design and Flow Charts 5th Week Sorting Algorithms 6th Week Sorting Algorithms 7th Week Searching Algorithms 8th Week Midterm 9th Week Linked Lists and Applictions 10th Week Stack stucture 11th Week Queue Structure 12th Week Tree Data Model 13th Week Tree Data Model Applications 14th Week Evaluation
RECOMENDED OR REQUIRED READING	Veri yapıları ve algoritmalar, Rifat Çölkesen, PapatyaBilim Data Structures Using C and C++ (2nd Edition), Yedidyah Langsam, Moshe J. Augenstein, Aaron M. Tenenbaum, Prentice Hall
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Problem Solving
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Assignment 2 10 Quiz 4 20 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 2,5 2,5 Preparation for Quiz 4 8 32 Individual or group work 14 2 28 Preparation for Final exam 1 25 25 Course hours 14 3 42 Preparation for Midterm exam 1 20 20 Laboratory (including preparation) Final exam 1 2,5 2,5 Homework 2 8 16 Quiz 4 2 8 Total Workload 176 Total Workload / 30 5,86 ECTS Credits of the Course 6
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No