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 Possesses sufficient knowledge in mathematics, natural sciences, and discipline-specific topics in Electrical and Electronics Engineering; uses this theoretical and practical knowledge to solve complex engineering problems. X
2 Identifies, defines, formulates, and solves complex engineering problems; selects and applies appropriate analytical and modeling methods for this purpose. X
3 Designs complex systems, processes, devices, or products under realistic constraints and conditions to meet specific requirements; applies modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, depending on the nature of the design.) X
4 Selects and uses modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications; effectively uses information technologies. X
5 Designs experiments, conducts tests, collects data, analyzes, and interprets results to investigate complex engineering problems or discipline-specific research topics. X
6 Works effectively in disciplinary and interdisciplinary teams; develops the ability to work independently. X
7 Communicates effectively in both written and verbal forms; possesses proficiency in at least one foreign language; writes effective reports, understands written reports, prepares design and production reports, delivers effective presentations, and gives and receives clear instructions. X
8 Recognizes the need for lifelong learning; accesses information, follows developments in science and technology, and continuously renews oneself. X
9 Acts in accordance with ethical principles, assumes professional and ethical responsibility, and possesses knowledge about the standards used in engineering practices. X
10 Possesses knowledge about professional practices such as project management, risk management, and change management; gains awareness of entrepreneurship and innovation; understands the principles of sustainable development. X
11 Understands the universal and societal impacts of engineering practices on health, environment, and safety; recognizes the contemporary issues reflected in the field of engineering and understands the legal implications 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