Associate Degree Programs
Vocational School of Technical Sciences
Computer Programming
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Data Structures

Course CodeSemester 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 (1A09)
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, Arrays and Alternative Array Creation Approaches Hybrid Explanation and Application
7. Week Midterm Week Midterm Week
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 Finals Week Finals Week
16. Week Finals Week Finals Week
17. Week Finals Week Finals Week
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 20
Homework / Term Projects / Presentations 1 30
Final Exam 1 50


Program Outcomes
PO-1Ability to define, collect, and evaluate necessary data in the field of computer programming and effectively apply theoretical knowledge in practical applications..
PO-2Possession of fundamental knowledge of computer systems, software, and hardware, and the ability to effectively utilize the required technologies for the profession.
PO-3Possession of up-to-date, fundamental, and applied knowledge related to computer programming.
PO-4Awareness of occupational health and safety, environmental consciousness, and quality processes, and the ability to apply them in the workplace.
PO-5Ability to follow developments in information technologies and integrate innovations into the profession.
PO-6Effectively using information technologies related to the profession (software, programs, animations, etc.).
PO-7Acquiring the analytical thinking skills required by computer programming, developing and executing programs with an appropriate perspective.
PO-8Independently evaluating professional problems and issues with an analytical and critical approach and presenting solutions.
PO-9Effectively expressing the work conducted in the field to project teams and institutions.
PO-10Taking responsibility in the workplace, organizing employees and workflow, and providing services in accordance with quality and standards.
PO-11Effectively presenting thoughts at the level of knowledge and skills through written and verbal communication in a clear and understandable manner.
PO-12Valuing teamwork, contributing to the group, and collaborating effectively with colleagues.
PO-13Ability to adapt to next-generation technologies such as artificial intelligence, big data analytics, cybersecurity, and cloud computing, and to acquire fundamental knowledge and skills in these areas.
PO-14Being aware of career management and lifelong learning, following technological advancements, and continuously improving oneself.
PO-15Possessing social, scientific, cultural, and ethical values in the collection, implementation, and dissemination of field-related data.
PO-16Possession of foreign language skills sufficient to follow developments in the field and communicate at an international level.
PO-17Emphasizing effective communication in the field and using the Turkish language accurately.
PO-18Ability to adopt and promote workplace safety, health, and environmental awareness.
PO-19Ability to objectively evaluate the performance of team members and provide accurate information to management.
Learning Outcomes
LO-1Learn the concepts of data structures.
LO-2Analyze data structures
LO-3Effectively use data structures in problem-solving
LO-4Explain general concepts related to databases
LO-5Utilize multiple data structures together
LO-6Recognize basic data structures and their advantages and disadvantages relative to each other.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11PO 12PO 13PO 14PO 15PO 16PO 17PO 18PO 19
LO 1
LO 2
LO 3
LO 4
LO 5
LO 6