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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: BIL101
Course Name: Introduction to Computer Engineering
Course Semester: Fall
Course Credits:
ECTS
5
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 : Dr.Öğr.Üyesi NAZLI TOKATLI
Course Lecturer(s): Assistant Prof. Dr. Nazlı Tokatlı
Course Assistants:

Course Purpose and Content

Course Objectives: The aim of this course is to equip students with introductory level knowledge and skills in computer science and computer engineering concepts, as well as in algorithms and programming.
Course Content: Department and faculty orientation, history of computers, fundamental topics of computer science and engineering, software and hardware concepts, data storage and coding, operating systems, computer networks. Algorithm design using flowchart and pseudocode, computer architecture, signed-unsigned integers, base conversion, database, computer graphics, Python programming, control structures, functions, recursion.

Learning Outcomes

The students who have succeeded in this course;
1) The student learns the basic concepts of computer engineering.
2) The student learns the correct and efficient algorithm design.
3) The student learns to describe algorithms using flowcharts.
4) Introductory level knowledge on computer ethics, health, and environmental issues.
5) The student will have information about the sub-fields of computer engineering.

Course Flow Plan

Week Subject Related Preparation
1) Introduction, History of Computers, Computer Ethic
2) Hardware: CPU, data storage, I/O units
3) Numbering Systems, Binary Arithmetic, Logic Gates
4) Introduction to computer architecture and low-level language
5) Program execution and Arithmetic logic Instructions
6) Operating Systems and Application Software
7) Introduction to data Communication and computer Network
8) An overview
9) Introduction to Languages, Algorithms, Pseudocodes, and Flowcharts
10) Algorithm Design: Conditionals, Loops, Subroutines
11) Search Algorithms
12) Introduction to Python programming
13) Introduction to Python programming
14) Introduction to Python programming

Sources

Course Notes / Textbooks: Bilgisayar Mühendisliğine Giriş - Fahri KAPLAN
G. Brookshear, Computer Science An Overview, 13th Ed., Addison Wesley (Recommended)
References: https://www.w3schools.com/

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. 3
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. 3
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 3
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. 3
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.
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 3
9) Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice. 3
10) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and knowledge about sustainable development. 2
11) Ability to design systems to meet desired needs 2
12) Ability to apply basic sciences in the field of computer engineering 3
13) Ability to implement designs by experiments 3
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

Akran Değerlendirmesi
Anlatım
Bireysel çalışma ve ödevi
Course
Grup çalışması ve ödevi
Web Tabanlı Öğrenme

Measurement and Evaluation Methods and Criteria

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Sözlü sınav
Homework
Grup Projesi
Raporlama
Bilgisayar Destekli Sunum

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 5 % 5
Project 1 % 20
Midterms 1 % 30
Final 1 % 45
total % 100
PERCENTAGE OF SEMESTER WORK % 55
PERCENTAGE OF FINAL WORK % 45
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
Application 1 7 7
Study Hours Out of Class 14 3 42
Presentations / Seminar 1 5 5
Project 1 15 15
Homework Assignments 5 6 30
Midterms 1 1 1
Final 1 2 2
Total Workload 144