ECTS - Introduction to Computational Tools

Introduction to Computational Tools (EE106) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Introduction to Computational Tools EE106 2. Semester 1 0 0 1 1.5
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)
  • Assoc. Prof. Dr. Yaser DALVEREN
Course Assistants
Course Objectives This course provides a background on fundamental computational tools that are to be expected to be utilized in electrical and electronics engineering courses.
Course Learning Outcomes The students who succeeded in this course;
  • Will be able to design mathematical procedures to solve technical problems via the structure plan (i.e. a design methodology for solving technical problems).
  • Will be able to develop algorithms to implement the steps of the structure plan.
  • Will be able to translate the structure plans into computer programs to solve engineering and scientific problems.
  • Will be able to evaluate and explore capabilities of MATLAB.
  • Will be able to do technical computing with MATLAB.
  • Will be able to translate the structure plans into computer programs to solve engineering and scientific problems.
Course Content Designing algorithm, designing flowchart, Matlab programming, Matlab architecture tools, vectors and matrix defining, mathematical logic oparators, script funtion writing in Matlab, types of graphics, object-oriented programming, Simulink block tools and applications.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to Algorithmic Thinking Read the related chapter from your book.
2 Introduction to Algorithmic Thinking Read the related chapter from your book.
3 Expressing Algorithms Read the related chapter from your book.
4 Expressing Algorithms Read the related chapter from your book.
5 Expressing Algorithms Read the related chapter from your book.
6 Introduction to MATLAB Read the related chapter from your book.
7 MATLAB Fundamentals: Output Formatting & Flow Control Read the related chapter from your book.
8 MATLAB Fundamentals: Output Formatting & Flow Control Read the related chapter from your book.
9 MATLAB Fundamentals: M-Files, Functions Read the related chapter from your book.
10 MATLAB Fundamentals: M-Files, Functions Read the related chapter from your book.
11 MATLAB Fundamentals: Built-in Functions, Visualization. Read the related chapter from your book.

Sources

Course Book 1. B. Hahn, D. Valentine, Essential Matlab for Engineers and Scientists, Third Edition, Elsevier, 2007.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 30
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 30
Final Exam/Final Jury 1 40
Toplam 5 100
Percentage of Semester Work
Percentage of Final Work 100
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 of subjects related to mathematics, natural sciences, and Electrical and Electronics Engineering discipline; ability to apply theoretical and applied knowledge in those fields to the solution of complex engineering problems. X
2 An ability to identify, formulate, and solve complex engineering problems, ability to choose and apply appropriate models and analysis methods for this. X
3 An ability to design a system, component, or process under realistic constraints to meet desired needs, and ability to apply modern design approaches for this. X
4 The ability to select and use the necessary modern techniques and tools for the analysis and solution of complex problems encountered in engineering applications; the ability to use information technologies effectively X
5 Ability to design and conduct experiments, collect data, analyze and interpret results for investigating complex engineering problems or discipline-specific research topics. X
6 An ability to function on multi-disciplinary teams, and ability of individual working. X
7 Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; active report writing and understanding written reports, preparing design and production reports, the ability to make effective presentation the ability to give and receive clear and understandable instructions. X
8 Awareness of the necessity of lifelong learning; the ability to access knowledge, follow the developments in science and technology and continuously stay updated. X
9 Acting compliant with ethical principles, professional and ethical responsibility, and knowledge of standards used in engineering applications. X
10 Knowledge about professional activities in business, such as project management, risk management, and change management awareness of entrepreneurship and innovation; knowledge about sustainable development. X
11 Knowledge about the impacts of engineering practices in universal and societal dimensions on health, environment, and safety. the problems of the current age reflected in the field of engineering; awareness of the legal consequences of engineering solutions. X

ECTS/Workload Table

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