Course Name Code Semester T+U Hours Credit ECTS
Data Structures and Algorithms SWE 201 3 3 + 2 4 6
Precondition Courses
Recommended Optional Courses
Course Language English
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Doç.Dr. DEVRİM AKGÜN
Course Lecturers
Course Assistants
Course Category
Course Objective

The main objective of this course is to provide an introduction to basic data structures, and algorithms for manipulating them, by using C++ programming language.

Course Content

Basic C ++ programming and algorithm concepts, Common Absract Data Types (ADT), List ADT, Array list, linked list,  Stack ADT,  Queue ADT, Circular Queue, Tree ADT,  Binary Search Tree, Expression Tree, Heap Tree, Priority Queue, AVL Tree, Set ADT, Hash table

# Course Learning Outcomes Teaching Methods Assessment Methods
1 Gains knowledge of basic data types, programming and algorithm analysis. Lecture, Question-Answer, Problem Solving, Testing, Homework, Project / Design,
2 Knows list, stack and queue abstract data types and performs them in array-based and linked structure. Lecture, Question-Answer, Problem Solving, Testing, Homework, Project / Design,
3 Knows tree abstract data type, binary tree data type and heap tree. Lecture, Question-Answer, Problem Solving, Testing, Homework, Project / Design,
4 Knows Set abstract data type and Hash tables Lecture, Question-Answer, Problem Solving, Testing, Homework, Project / Design,
Week Course Topics Preliminary Preparation
1 Introduction, data types, functions, pointers 1st week presentation
2 Classes, algorithm analysis 2nd week presentation
3 List ADT, Array based implementation 3rd week presentation
4 Linked implementation, Singly linked list 4th week presentation
5 Doubly linked list, Circular linked lists 5th week presentation
6 Stack ADT and its implementation 6th week presentation
7 Queue ADT and its implementation 7th week presentation
8 Tree ADT, binary trees, binary search tree 8th week presentation
9 Heap tree and priorty queues 9th week presentation
10 AVL trees 10th week presentation
11 Huffman coding, heap sort 11th week presentation
12 Set ADT and applications 12th week presentation
13 Hash tables 13th week presentation
14 C++ STL Containers 14th week presentation
Resources
Course Notes <p>Drozdek, Adam.&nbsp;<em>Data Structures and algorithms in C++</em>. Cengage Learning, 2012.</p>
Course Resources

Prof. Dr. Nejat YUMUŞAK, Dr. M. Fatih ADAK, "C/C++ ile Veri Yapıları ve Çözümlü Uygulamalar", Seçkin yayıncılık, 2016

Parker, Alan. Algorithms and data structures in C++. Routledge, 2018.

Order Program Outcomes Level of Contribution
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions.
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations.
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently.
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods.
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research.
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies.
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility.
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language.
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology.
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society.
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications.
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 60
1. Kısa Sınav 10
1. Ödev 10
1. Proje / Tasarım 10
2. Ödev 10
Total 100
1. Final 50
1. Yıl İçinin Başarıya 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Quiz 1 7 7
Assignment 2 7 14
Project / Design 1 8 8
Final examination 1 9 9
Total Workload 150
Total Workload / 25 (Hours) 6
dersAKTSKredisi 6