Course Code	Semester	Course Name	LE/RC/LA	Course Type	Language of Instruction	ECTS
TBP1003	1	Data Structures	2/0/0	CC	Türkçe	2

Course Goals	To learn basic data structures (stack, queue, list, tree, hash tables), to learn algorithms for data structures, recursive programming, to effectively use data structures in problem-solving: choosing appropriate data structures and algorithms, analyzing data structure algorithms.
Prerequisite(s)	-
Corequisite(s)	-
Special Requisite(s)	-
Instructor(s)	Lecturer Muharrem Altunisik
Course Assistant(s)	-
Schedule	Wednesday, 09:00-10:50, Ataköy Campus 2nd Floor Industrial Engineering Laboratory (2ENDLAB
Office Hour(s)	Thursday, 16:00-16:50, İncirli Campus 1st Floor A Building Room 09 (1B09)
Teaching Methods and Techniques	-Hybrid, Applied Explanation
Principle Sources	-The sample codes used in class and the slides used during the lecture.
Other Sources	-

Course Schedules
Week	Contents	Learning Methods
1. Week	Introduction to Data Structures	Hybrid Explanation and Application
2. Week	Basic Data Types, Lower and Upper Limits of Data Types	Hybrid Explanation and Application
3. Week	Computation of Lower and Upper Limits of Data Types Programmatically	Hybrid Explanation and Application
4. Week	Struct, Basics of Struct, Struct Data Structure, and Value Type	Hybrid Explanation and Application
5. Week	Class Data Structure, Reference Type	Hybrid Explanation and Application
6. Week	Data Structures and Collections	Hybrid Explanation and Application
7. Week	Arrays and Alternative Array Creation Approaches	Hybrid Explanation and Application
8. Week	Array Class Methods	Hybrid Explanation and Application
9. Week	Hash Table	Hybrid Explanation and Application
10. Week	Sortedlist	Hybrid Explanation and Application
11. Week	List, _IComparable Implementation	Hybrid Explanation and Application
12. Week	Basics and Application of Stack	Hybrid Explanation and Application
13. Week	Basics and Application of Queue	Hybrid Explanation and Application
14. Week	Linkedlist, Dictionary, _SortedDictionary, _SortedSet, _HashSet	Hybrid Explanation and Application
15. Week
16. Week
17. Week

Assessments
Evaluation tools	Quantity	Weight(%)
Midterm(s)	1	20
Homework / Term Projects / Presentations	3	30
Final Exam	1	50

Program Outcomes PO-1 Effectively identifying collecting and evaluating the data required for the Computer Programming field and using theoretical knowledge for creating applications. PO-2 Being equipped with basics of computer science. PO-3 Possessing the knowledge of all necessary software and equipment in the profession. PO-4 Emphasizing team work, contributing to the group and operating with team chemistry. PO-5 Effectively expressing and sharing the completed work with project group and teammates. PO-6 Objectively evaluating the performance of employees under his/her supervision and providing objective information to the management. PO-7 Demonstrating problem solving skills and the education he/she obtained at the program. PO-8 Possessing the computer programming knowledge built on skills, information and competencies provided by secondary education and supperted by higher education course materials, and demonstrating the understanding of concepts in the field of computer programming. PO-9 Acquiring the analytical thinking skills required in the field of computer programming, and creating and running programs in accordance with this analytical perspective. PO-10 Complying with ethical values of the field of Computer Programming and carrying social responsibility. PO-11 Developing sufficent foreign language skills to conduct the work and follow the global developments at the best level. PO-12 Empasizing communication and using Turkish accurately in this communication. PO-13 Ensuring the security, environment and health awareness at personal level and among his/her employees. PO-14 Following technological innovations in software and hardware after graduation and sustaining continuous personal development. PO-15 Claiming responsibility at his/her workplace, organizing work flow with employees and operating according to high quality work standards.

Learning Outcomes LO-1 Learn the concepts of data structures. LO-2 Analyze data structures LO-3 Effectively use data structures in problem-solving LO-4 Explain general concepts related to databases LO-5 Utilize multiple data structures together LO-6 Recognize basic data structures and their advantages and disadvantages relative to each other.

Course Assessment Matrix:

PO 1

PO 2

PO 3

PO 4

PO 5

PO 6

PO 7

PO 8

PO 9

PO 10

PO 11

PO 12

PO 13

PO 14

PO 15

LO 1

LO 2

LO 3

LO 4

LO 5

LO 6