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PROGRAMMING IN MATLAB FOR ENGINEERING

Course
ENGI316 - PROGRAMMING IN MATLAB FOR ENGINEERING
Department
Faculty of Engineering
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
0
T+P+L
3 + 0 + 0
Course Coordinator(s)
Asst. Prof. Dr. Neyre TEKBIYIK ERSOY
Prerequisite
-
Keywords
-

Course Description

-

PROGRAMMING IN MATLAB FOR ENGINEERING

Evaluation Tools (Active Term)

Item Type Weight (%)
Midterm Midterm 30
Quiz Quiz 15
Final Exam Final 35
Project Project 20
Total 100

Course outcomes

  1. 01 Apply standard MATLAB programming techniques to write, test, and debug computer programs that solve engineering related problems.
  2. 02 Properly document both computer code and the resulting output.
  3. 03 Locate, understand, and use a wide range of pre-defined functions.
  4. 04 Apply programming and collaboration skills to the completion of a group project with partially defined parameters.
  5. 05 Select and use appropriate input/output operations for file, graphical, and GUI-based input/output.

Course Syllabus

Week Topic
Week 1 Introduction to MATLAB, Variables, Scripts, and Operations
Week 2 Array Types and Operations
Week 3 Built-In Functions, User-Defined Functions, Function Functions, Working With Data Files, File I/O (Input/Output)
Week 4 Algorithms, Flowcharts, Pseudocodes, Relational Operators and Variables, Logical Operators and Functions
Week 5 Conditional Statements (If Statements), For Loops, While Loops, Switch Structure
Week 6 For Loops, While Loops, Switch Structure (cont'd)
Week 7 Advanced Plotting
Week 8 MID-TERM EXAMINATION WEEK
Week 9 MID-TERM EXAMINATION WEEK, Advanced Methods: Data Structures, Images, Debugging, Linear Algebraic Equations
Week 10 Advanced Methods: Data Structures, Images, Debugging, Linear Algebraic Equations (cont'd)
Week 11 Linear Algebraic Equations (cont'd), Numerical Methods for Calculus and Differential Equations, Optimization, Symbolics
Week 12 Building GUIs (Graphical User Interfaces)
Week 13 Building GUIs (Graphical User Interfaces), Cont'd
Week 14 Simulink
Week 15 Project Discussions

Reference Books & Course Materials

  1. 01 W. J. Palm, Introduction to MATLAB for Engineers, McGraw-Hill, 3rd Edition, 2011.
  2. 02 Brian D. Hahn, Essential MATLAB for Scientists and Engineers, Arnold, 2001.
  3. 03 Stephen J. Chapman, MATLAB Programming for Engineers, 4th Edition, Thomson Engineering, 2008.
  4. 04 Stormy Attaway, Matlab: A Practical Introduction to Programming and Problem Solving, 3rd Edition, Butterworth-Heinemann, 2013.

Learning Outcomes

  1. L01 Apply standard MATLAB programming techniques to write, test, and debug computer programs that solve engineering related problems.
  2. L02 Properly document both computer code and the resulting output.
  3. L03 Locate, understand, and use a wide range of pre-defined functions.
  4. L04 Apply programming and collaboration skills to the completion of a group project with partially defined parameters.
  5. L05 Select and use appropriate input/output operations for file, graphical, and GUI-based input/output.

Program Outcomes

  1. Knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline.
  2. Ability to apply knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline to the solution of complex engineering problems.
  3. Ability to define complex engineering problems by using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) related to the problem addressed.
  4. Ability to formulate complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
  5. Ability to analyse and solve complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
  6. Ability to design creative solutions to complex engineering problems.
  7. Ability to design complex systems, processes, devices, or products in a way that meets present and future needs while considering realistic constraints and conditions.
  8. Ability to select and use appropriate techniques and resources—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
  9. Ability to select and use modern engineering and computational tools—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
  10. Ability to conduct literature research and use appropriate research methods for the investigation of complex engineering problems.
  11. Ability to design experiments for the investigation of complex engineering problems.
  12. Ability to conduct experiments, collect data, analyse results, and interpret findings for the investigation of complex engineering problems.
  13. Knowledge of the impacts of engineering practices on society, health and safety, the economy, sustainability, and the environment within the framework of the United Nations Sustainable
  14. Awareness of the legal implications of engineering solutions within the framework of the United Nations Sustainable Development Goals (SDGs).
  15. Knowledge of ethical responsibility and adherence to the principles of professional engineering conduct.
  16. Awareness of acting impartially without discrimination in any matter and of being inclusive of diversity.
  17. Ability to work effectively as an individual.
  18. Ability to work effectively as a team member or leader in intra-disciplinary teams (face-to-face, remote, or hybrid).
  19. Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote, or hybrid).
  20. Ability to communicate effectively in spoken form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
  21. Ability to communicate effectively in written form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
  22. Knowledge of professional practices such as project management and economic feasibility analysis.
  23. Awareness of entrepreneurship and innovation.
  24. Ability for independent and lifelong learning.
  25. Ability to adapt to new and emerging technologies.
  26. Lifelong learning ability that includes the capacity to think critically about technological changes.

Po-Lo Matrix

LO Average
L01 - - - - - - - - - - - - - - - - - - - - - - - - - - -
L02 - - - - - - - - - - - - - - - - - - - - - - - - - - -
L03 - - - - - - - - - - - - - - - - - - - - - - - - - - -
L04 - - - - - - - - - - - - - - - - - - - - - - - - - - -
L05 - - - - - - - - - - - - - - - - - - - - - - - - - - -