Computer Engineering

Course Code	Course Name	Year	Period	Semester	T+A+L	Credit	ECTS
05010010	Introduction to Computer Engineering	2025	Autumn	1	2+1+0	2	3

Course Type	Compulsory
Course Cycle	Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6)
Course Language	Turkish
Methods and Techniques	-
Mode of Delivery	Face to Face
Prerequisites	-
Coordinator	Asst. Prof. Ali Osman ÇIBIKDİKEN
Instructor(s)	Asst. Prof. Atakan DAŞDEMİR
Instructor Assistant(s)	-

Basic Vocational Courses	X
Specialization / Field Courses
Support Courses
Transferable Skills Courses
Humanities, Communication and Management Skills Courses

Relationship Levels
Lowest	Low	Medium	High	Highest
1	2	3	4	5

#	Program Learning Outcomes	Level
P1	Adequate knowledge in mathematics, science and related engineering discipline accumulation; theoretical and practical knowledge in these areas, complex engineering the ability to use in problems.	5
P3	Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose	5

Upon the successful completion of this course, students will be able to:
No	Learning Outcomes	Outcome Relationship	Measurement Method **
O1	Mathematical models of engineering problems are created and simulated	P.1.6	1
O2	Knowledge of algorithm design and analysis techniques.	P.3.1	1
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7

Week	Topics
1	Basic Computer Hardware
2	Problem solving using computers
3	The concept and notation of algorithms
4	Problem analysis and algorithm design
5	Development of algorithms and their implementation in a procedure-oriented language
6	Integrated programming environment (editing, computing, debugging)
7	Data types
8	Operators
9	Input/output
10	Structured programming
11	Program control
12	Subprograms
13	Passing parameters
14	Arrays and array processing

Resources

An Introduction to Algorithms

In-Term Studies	Quantity	Percentage
Attendance	-	-
Laboratory	-	-
Practice	-	-
Course Specific Internship (If Any)	-	-
Homework	-	-
Presentation	-	-
Projects	-	-
Quiz	-	-
Midterms	1	40 (%)
Final Exam	1	60 (%)
Total		100 (%)

	Quantity	Duration	Total Work Load
Course Week Number and Time	14	3	42
Out-of-Class Study Time (Pre-study, Library, Reinforcement)	14	3	42
Midterms	1	32	32
Quiz	0	0	0
Homework	0	0	0
Practice	0	0	0
Laboratory	0	0	0
Project	0	0	0
Workshop	0	0	0
Presentation/Seminar Preparation	0	0	0
Fieldwork	0	0	0
Final Exam	1	34	34
Other	0	0	0
Total Work Load:			150
Total Work Load / 30			5
Course ECTS Credits:			5

Relationship Levels
Lowest	Low	Medium	High	Highest
1	2	3	4	5

#	Learning Outcomes	P1	P3
O1	Mathematical models of engineering problems are created and simulated	5	-
O2	Knowledge of algorithm design and analysis techniques.	-	5