Course Information

Course Information

Course Title	Code	Semester	L+U Hour	Credits	ECTS
INTRODUCTION TO PROGRAMMING	AETY305	5. Semester	0 + 0	0	6.0

Prerequisites

None

Language of Instruction	Turkish
Course Level	Bachelor's Degree
Course Type	Compulsory
Mode of delivery
Course Coordinator
Instructors	ANKUZEF ANKUZEF
Assistants
Goals	In this course, it is aimed to give general algorithm and programming knowledge to students who have no previous experience.
Course Content	Algorithm design; flow diagrams, input-output concepts, cycles, decision structures, decision making and developing appropriate algorithms to cyclical problems; applications of programs (such as scratch, code.org) where algorithms and flow charts are visualized and used; creating of appropriate solution algorithms using function; development of appropriate solution algorithms using single and double dimensional series; coding and applications in computer algebra systems
Learning Outcomes	1) Design algorithms and develop appropriate algorithms for cyclic problems. 2) Visualize algorithms and flowcharts and apply programs such as scratch, code.org. 3) Create appropriate solution algorithms using the function. 4) Develop appropriate solution algorithms using single and double dimensional arrays. 5) Make the coding and applications of algorithms in computer algebra systems.

Weekly Topics (Content)

Week	Topics	Teaching and Learning Methods and Techniques	Study Materials
1. Week	General programming knowledge, programming, algorithm, flowchart, programming language	Lecture; Question Answer Colloquium Problem Based Learning	Presentation (Including Preparation Time)
2. Week	Writing the program, compiling, linking, running, testing	Lecture; Question Answer Colloquium Problem Based Learning	Presentation (Including Preparation Time)
3. Week	Algorithms, algorithm design, input-output concepts, loops	Lecture; Question Answer Colloquium Problem Based Learning	Presentation (Including Preparation Time)
4. Week	Arithmetic and logical expressions, arithmetic operator, arithmetic operand, value transfer, comparison operator, logical operator	Lecture; Question Answer Colloquium Problem Based Learning	Presentation (Including Preparation Time)
5. Week	Variable and array identification; constant, integer constants, fractional number constants, string constants	Lecture; Question Answer Colloquium Problem Based Learning	Presentation (Including Preparation Time)
6. Week	Algorithm operation, number systems, data processing	Lecture; Question Answer Colloquium Problem Based Learning	Presentation (Including Preparation Time)
7. Week	Decision structures, decision making and development of algorithms for cyclic problems	Lecture; Question Answer Colloquium Problem Based Learning	Presentation (Including Preparation Time)
8. Week	Midterm	Lecture; Question Answer Colloquium Problem Based Learning	Presentation (Including Preparation Time)
9. Week	Loop Coding	Lecture; Question Answer Colloquium Problem Based Learning	Presentation (Including Preparation Time)
10. Week	Applications of algorithms using algorithm and flow diagrams (scratch, code.org)	Lecture; Question Answer Colloquium Problem Based Learning	Presentation (Including Preparation Time)
11. Week	Creating appropriate solution algorithms using function	Lecture; Question Answer Colloquium Problem Based Learning	Presentation (Including Preparation Time)
12. Week	Developing appropriate solution algorithms using single and double dimension arrays	Lecture; Question Answer Colloquium Problem Based Learning	Presentation (Including Preparation Time)
13. Week	Encoding of generated algorithms in Computer Algebra Systems	Lecture; Question Answer Colloquium Problem Based Learning	Presentation (Including Preparation Time)
14. Week	Applications of Algorithms in Computer Algebra Systems	Lecture; Question Answer Colloquium Problem Based Learning	Presentation (Including Preparation Time)

Sources Used in This Course

Recommended Sources

Algoritma ve Programlama Mantığı – KODLAB (H. Burak TUNGUT)

Algoritma ve Programlamaya Giriş (Ebubekir Yaşar, Ekin Basım Yayın)

Relations with Education Attainment Program Course Competencies

Program Requirements	Contribution Level	DK1	DK2	DK3	DK4	DK5
PY1	5	5	5	5	5	5
PY2	5	5	5	5	5	5
PY3	5	5	5	5	5	5
PY4	5	5	5	5	5	5
PY5	5	5	5	5	5	5

*DK = Course's Contrubution.

	0	1	2	3	4	5
Level of contribution	None	Very Low	Low	Fair	High	Very High

.

ECTS credits and course workload

Event	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration (Total weeks*Hours per week)	14	6	84
Work Hour outside Classroom (Preparation, strengthening)	14	6	84
Midterm Exam	1	1	1
Time to prepare for Midterm Exam	7	1	7
Final Exam	1	1	1
Time to prepare for Final Exam	14	1	14
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course			30

Quick Access

Electronic Commerce and Management
Open Education

Course Information

Course Information
Weekly Topics (Content)
Sources Used in This Course
Relations with Education Attainment Program Course Competencies
ECTS credits and course workload