Software Engineering (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course General Introduction Information

Course Code:

CSE101

Course Name:

Computer Programming I

Course Semester:

Fall

Course Credits:

ECTS

Language of instruction:

Course Requirement:

Does the Course Require Work Experience?:

Type of course:

Necessary

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Ar.Gör. MUHAMMED TAYYİP KOÇAK

Course Lecturer(s):

Dr. Öğr. Üyemiz Meryem Uzun Per

Course Assistants:

Course Purpose and Content

Course Objectives:

Main objective of the course is to develop students' skills in designing algorithms, analysing algorithms and creating algorithms by giving them the ability to think abstractly on the basis of software development. Within the scope of the course, it is also aimed that the students will gain the ability to program and create computer programs at a basic level with the C programming language, which will be explained to them, and they are expected to use these skills in solving possible programmatic problems they will encounter.

Course Content:

Introduction to programming concepts and solving problems.
Control structures: Condition blocks and loops.
Functions and modular programming.
Arrays, lists and basic data structures.
Object oriented programming: Classes, objects, inheritance and polymorphism.
Exception handling.
File operations.
Using libraries and APIs.
Software development applications.
Final project.

Learning Outcomes

The students who have succeeded in this course;
1) Understanding of programming principles and capabilities.
2) Developing simple programming techniques and problem solving skills.
3) Develop algorithmic solutions using basic data structures.
4) Understanding the basics of object oriented programming.

Course Flow Plan

Week	Subject	Related Preparation
1)	Computer systems, hardware and software	none
2)	Number systems, introduction to algorithm development	none
3)	Algorithm development and algorithm flowcharts	none
4)	Algorithm development and algorithm flowcharts	none
5)	Variables, data types, constants, mathematical and logical operators	none
6)	Variables, data types, constants, mathematical and logical operators	none
7)	Bit-level operations, decision structures	none
8)	Bit-level operations, decision structures	none
9)	Loops	none
10)	Loops	none
11)	Single and multidimensional arrays	none
12)	Single and multidimensional arrays	none
13)	Functions	none
14)	File operations	none

Sources

Course Notes / Textbooks:	1) C How to Program, Paul Deitel and Harvey Deitel, Pearson press, 2015, ISBN: 9780133976892. 2) C Programming Language, Brian Kernighan and Dennis Ritchie, Pearson press, 1988, ISBN: 9780131103627. 3) C Programlama Dili, Rıfat Çölkesen, Papatya Yayınevi, 2020, ISBN: 9789756797037. 4) A'dan Z'ye C Kılavuzu, Kaan Aslan, Pusula Yayınevi, ISBN: 9789757092124.
References:	1) C How to Program, Paul Deitel and Harvey Deitel, Pearson press, 2015, ISBN: 9780133976892. 2) C Programming Language, Brian Kernighan and Dennis Ritchie, Pearson press, 1988, ISBN: 9780131103627. 3) C Programlama Dili, Rıfat Çölkesen, Papatya Yayınevi, 2020, ISBN: 9789756797037. 4) A'dan Z'ye C Kılavuzu, Kaan Aslan, Pusula Yayınevi, ISBN: 9789757092124.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Medium	3 Highest

	Program Outcomes	Level of Contribution
1)	Sufficient knowledge in mathematics, science and software engineering discipline-specific topics; the theoretical and practical knowledge in these areas, the ability to use in complex engineering problems.
2)	The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modelling methods for this purpose.
3)	The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose.
4)	Ability to develop, select and use modern techniques and tools necessary for analysis and solution of complex problems in engineering applications; ability to use information technologies effectively.
5)	Ability to design experiments, conduct experiments, collect data, analyse and interpret the results of complex engineering problems or discipline-specific research topics.
6)	Disiplin içi ve çok disiplinli takımlarda etkin biçimde çalışabilme becerisi; bireysel çalışma becerisi.
7)	Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
8)	Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and understandable instructions and to receive.
9)	Conformity to ethical principles, professional and ethical responsibility; Information on standards used in engineering applications.
10)	Information on practices in business, such as project management, risk management and change management; awareness about entrepreneurship, innovation; information on sustainable development.
11)	Information on the effects of engineering applications on health, environment, and safety in universal and social dimensions, and on the problems of the modern age in engineering; awareness of the legal consequences of engineering solutions.
12)	Adequate skills in the analysis, design, verification, evaluation, implementation, implementation, and maintenance of software systems

Learning Activity and Teaching Methods

Bireysel çalışma ve ödevi
Course
Proje Hazırlama

Measurement and Evaluation Methods and Criteria

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Laboratory	1	% 15
Homework Assignments	1	% 15
Midterms	1	% 30
Final	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities	Number of Activities	Aktiviteye Hazırlık	Aktivitede Harçanan Süre	Aktivite Gereksinimi İçin Süre	Workload
Course Hours	14	3			42
Laboratory	14	2			28
Study Hours Out of Class	14	6			84
Homework Assignments	2	20			40
Midterms	1	20			20
Final	1	25			25
Total Workload					239