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 1. Semester 2 1 0 2 2.5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Compulsory Departmental Courses
Course Level Natural & Applied Sciences Master's Degree
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 Computer, Software and Information Systems Engineering
  • 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)
15 Review
16 Review

Sources

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

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory 1 20
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 50
Toplam 3 100
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 An ability to apply advanced knowledge of computing and/or informatics to solve software engineering problems.
2 Develop solutions using different technologies, software architectures and life-cycle approaches.
3 An ability to design, implement and evaluate a software system, component, process or program by using modern techniques and engineering tools required for software engineering practices.
4 An ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements.
5 Skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects.
6 An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain.
7 An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering.
8 Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies.
9 An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions.
10 Promote the development, adoption and sustained use of standards of excellence for software engineering practices.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory 1 3 3
Application
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Project
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 3 3
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 64