ECTS - Fundamentals of Computing

Fundamentals of Computing (CMPE109) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Fundamentals of Computing CMPE109 2 1 0 2 2.5
Pre-requisite Course(s)
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The main objective of this course is to introduce the engineering profession, career opportunites of the profession and to address ethical issues in informatics. Also, the course aims at giving an overview of computer science by discussing the basic machine architecture and the machine language, data representation, operating systems, networking and the Internet and programming languages.
Course Learning Outcomes The students who succeeded in this course;
  • Identify different aspects of CMPE/SE/ISE
  • Describe Ethical Issues in computing
  • Describe the internal workings of a computer and data representation
  • Create simple machine language instructions to solve a problem
  • Explain the functions of operating systems, networking
  • Classify programming languages
  • Identifies the networking strategies and uses of Internet
Course Content Engineering fundamentals, computer engineering as a profession, career opportunities, professional organizations for computer engineering, ethical issues in computing; hardware components of a computer system; data representation and machine language instructions; coordinating internal activities of a computer using operating systems; networking

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Engineering Fundamentals Chapter 1 (Others 1)
2 Engineering Fundamentals Chapter 1 (Others 1)
3 Computer Engineering as a profession. Career opportunities and Professional Organizations Chapter 1 (Others 1)
4 Ethical Issues in Computing Others 2, 3
5 Data Storage Chapter 1 (Textbook 1)
6 Data Storage Chapter 1 (Textbook 1)
7 Data manipulation Chapter 2 (Textbook 1)
8 Data manipulation Chapter 2 (Textbook 1)
9 Data manipulation Chapter 2 (Textbook 1)
10 Operating Systems Chapter 3 (Textbook 1)
11 Networking fundamentals and the Internet Chapter 4 (Textbook 1)
12 Networking fundamentals and the Internet Chapter 4 (Textbook 1)
13 Programming Languages Chapter 6 (Textbook 1)
14 Programming Languages Chapter 6 (Textbook 1)


Course Book 1. Computer Science: An Overview, J. G. Brookshear, Pearson International, 12. Baskı, 2012.
Other Sources 2. Foundations of Engineering, 2nd. Ed., Holtzapple & Reece, McGraw-Hill International, 2003
3. Software Engineering: Code of Ethics,
4. ACM code of Ethics and Professional Conduct,

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 4 20
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 50
Toplam 6 100
Percentage of Semester Work 50
Percentage of Final Work 50
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Adequate knowledge in mathematics, science and subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems. X
2 The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques 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 The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively.
5 The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline.
6 The ability to work effectively in inter/inner disciplinary teams; ability to work individually
7 Effective oral and writen communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
8 The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
9 Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology.
10 The ability to behave according to ethical principles, awareness of professional and ethical responsibility; X
11 Knowledge of the standards utilized in software engineering applications
12 Knowledge on business practices such as project management, risk management and change management;
13 Awareness about entrepreneurship, innovation
14 Knowledge on sustainable development
15 Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety;
16 Awareness of the legal consequences of engineering solutions
17 An ability to describe, analyze and design digital computing and representation systems.
18 An ability to use appropriate computer engineering concepts and programming languages in solving computing problems. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 2 32
Special Course Internship
Field Work
Study Hours Out of Class 16 1 16
Presentation/Seminar Prepration
Homework Assignments 4 2 8
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 4 4
Prepration of Final Exams/Final Jury 1 6 6
Total Workload 66