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 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)

Sources

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, 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 - -
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 Has adequate knowledge in mathematics, science, and computer engineering-specific subjects; uses theoretical and practical knowledge in these areas to solve complex engineering problems. X
2 Identifies, defines, formulates, and solves complex engineering problems; selects and applies appropriate analysis and modeling methods for this purpose.
3 Designs a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; applies modern design methods for this purpose.
4 Develops, selects, and uses modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; uses information technologies effectively.
5 Designs experiments, conducts experiments, collects data, analyzes and interprets results for the investigation of complex engineering problems or research topics specific to the discipline of computer engineering.
6 Works effectively in disciplinary and multidisciplinary teams; gains the ability to work individually.
7 Communicates effectively in Turkish, both orally and in writing; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions.
8 Knows at least one foreign language; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions.
9 Has awareness of the necessity of lifelong learning; accesses information, follows developments in science and technology, and continuously improves oneself.
10 Acts in accordance with ethical principles and has awareness of professional and ethical responsibility. X
11 Has knowledge about the standards used in computer engineering applications.
12 Has knowledge about workplace practices such as project management, risk management, and change management.
13 Gains awareness about entrepreneurship and innovation.
14 Has knowledge about sustainable development.
15 Has knowledge about the health, environmental, and safety impacts of computer engineering applications in universal and societal dimensions and the contemporary issues reflected in the field of engineering.
16 Gains awareness of the legal consequences of engineering solutions.
17 Analyzes, designs, and expresses numerical computation and digital representation systems.
18 Uses programming languages and appropriate computer engineering concepts to solve computational problems. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 2 32
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 1 16
Presentation/Seminar Prepration
Project
Report
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