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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. P01 Knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline.
  2. P02 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. P03 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. P04 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. P05 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. P06 Ability to design creative solutions to complex engineering problems.
  7. P07 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. P08 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. P09 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. P10 Ability to conduct literature research and use appropriate research methods for the investigation of complex engineering problems.
  11. P11 Ability to design experiments for the investigation of complex engineering problems.
  12. P12 Ability to conduct experiments, collect data, analyse results, and interpret findings for the investigation of complex engineering problems.
  13. P13 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 Development Goals (SDGs).
  14. P14 Awareness of the legal implications of engineering solutions within the framework of the United Nations Sustainable Development Goals (SDGs).
  15. P15 Knowledge of ethical responsibility and adherence to the principles of professional engineering conduct.
  16. P16 Awareness of acting impartially without discrimination in any matter and of being inclusive of diversity.
  17. P17 Ability to work effectively as an individual.
  18. P18 Ability to work effectively as a team member or leader in intra-disciplinary teams (face-to-face, remote, or hybrid).
  19. P19 Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote, or hybrid).
  20. P20 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. P21 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. P22 Knowledge of professional practices such as project management and economic feasibility analysis.
  23. P23 Awareness of entrepreneurship and innovation.
  24. P24 Ability for independent and lifelong learning.
  25. P25 Ability to adapt to new and emerging technologies.
  26. P26 Lifelong learning ability that includes the capacity to think critically about technological changes.

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 P20 P21 P22 P23 P24 P25 P26 Average
L01 - - - - - - - - - - - - - - - - - - - - - - - - - - -
L02 - - - - - - - - - - - - - - - - - - - - - - - - - - -
L03 - - - - - - - - - - - - - - - - - - - - - - - - - - -
L04 - - - - - - - - - - - - - - - - - - - - - - - - - - -
L05 - - - - - - - - - - - - - - - - - - - - - - - - - - -