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Computer Engineering

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Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course General Introduction Information

Course Code: BYM101
Course Name: Computer Programming I
Course Semester: Fall
Course Credits:
ECTS
8
Language of instruction: TR
Course Requirement:
Does the Course Require Work Experience?: No
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) Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems. 2
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. 2
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose 2
4) Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. 2
5) Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. 3
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. 2
7) Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. 1
8) Knowledge of the global and societal impacts of engineering practices on priority issues such as health, environment and safety and contemporary issues; knowledge of the legal aspects of engineering solutions. awareness of the consequences 2
9) Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice. 1
10) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and knowledge about sustainable development. 3
11) Ability to design systems to meet desired needs 3
12) Ability to apply basic sciences in the field of computer engineering 2
13) Ability to implement designs by experiments 1
14) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. 1

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