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 Adequate knowledge in mathematics, science and computing fields; ability to apply theoretical and practical knowledge of these fields in solving engineering problems related to information systems. X
2 Ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose.
3 Ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; ability to apply modern design methods for this purpose.
4 Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in information systems engineering applications; ability to use information technologies effectively.
5 Ability to gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the information systems discipline.
6 Ability to work effectively in inter/inner disciplinary teams; ability to work individually.
7 a. Effective oral and written communication skills in Turkish; ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. b. Knowledge of at least one foreign language; ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8 Recognition of the need for lifelong learning; the ability to access information and follow recent developments in science and technology with continuous self-development.
9 a. Ability to behave according to ethical principles, awareness of professional and ethical responsibility. b. Knowledge of the standards utilized in information systems engineering applications.
10 a. Knowledge on business practices such as project management, risk management and change management. b. Awareness about entrepreneurship, and innovation. c. Knowledge on sustainable development.
11 a. Knowledge of the effects of information systems engineering applications on the universal and social dimensions of health, environment, and safety. b. Awareness of the legal consequences of engineering solutions.

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