Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| PROGRAMMING with MATLAB | - | Fall Semester | 2+2 | 3 | 6 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Assoc.Prof. Atakan MANGIR |
| Name of Lecturer(s) | Abdullah Hulusi KÖKÇAM, Prof.Dr. Mehmet Kemal ÖZDEMİR |
| Assistant(s) | |
| Aim | Equipping the ability to perform data analysis, numerical computing, algorithm development, and modelling and simulation of complex systems. Solving engineering problems, automating tasks, and applying advanced techniques through specialized toolboxes, preparing individuals for real-world technical challenges for academia and industry. |
| Course Content | This course contains; Basics of getting, installing, and running Matlab, introducing MATLAB Environment (IDE), some important commands, pre-defined variables, special characters, mathematical operators, input and output, creating, saving and running scripts.,Arrays, array-related MATLAB built-in functions, adding and removing elements from an array, finding specific elements in an array, array operations, mathematical operations on arrays, plotting arrays.,Matrices, matrix-related MATLAB built-in functions, adding and removing elements, rows and columns, finding specific elements in a matrix, matrix operations, mathematical operations on matrices, concatenation of matrices, plotting matrices.,Some important MATLAB built-in functions.,Strings, string arrays, basic string operations, concatenation, indexing, string functions, differences between strings and character arrays.,Plotting, plot customization (color, line style, markers), multiple plots, 3D Plotting, saving plots in different formats, figure properties.,General overview.,If-Else Statement, multiple conditions, logical conditions, relational operators, logical operators, nested If statements, If with vectors and matrices. Switch-Case Statement, multiple cases, the otherwise block evaluating expressions in case.,For-While Loops, looping over arrays and matrices, nested for loops, preallocating arrays in loops, infinite loops, breaking out of loops, using continue in loops, looping until a condition is met, efficient looping with vectorization.,Functions, defining inputs and outputs, calling a function, function handle, anonymous functions, variable number of inputs and outputs, local and global variables, recursion, using built-in functions.,Installing and Using Toolboxes, Symbolic Math Toolbox, creating symbolic variables, symbolic expressions, basic operations.,Using Live Editor with Symbolic Math Toolbox, differentiation, integration, solving equations, simplifying expressions, substitution, numerical evaluation, plotting symbolic expressions.,Optimization Toolbox and Fuzzy System Toolbox,General overview.. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Distinct MATLAB basics. | 1, 10, 11, 12, 13, 14, 16, 17, 21, 3, 37, 4, 5, 6, 9 | A, B, C, E, G, R |
| Model an engineering problem in MATLAB. | 1, 10, 11, 12, 13, 14, 16, 17, 21, 3, 37, 4, 5, 6, 9 | A, B, C, E, G, R |
| Solve the modeled problem, using special toolkits for this. | 1, 10, 11, 12, 13, 14, 16, 17, 21, 3, 37, 4, 5, 6, 9 | A, B, C, E, G, R |
| Perform modeling and simulation. | 1, 10, 11, 12, 13, 14, 16, 17, 21, 3, 37, 4, 5, 6, 9 | A, B, C, E, G, R |
| Perform data analysis and visualization. | 1, 10, 11, 12, 13, 14, 16, 17, 21, 3, 37, 4, 5, 6, 9 | A, B, C, E, G, R |
| Teaching Methods: | 1: Mastery Learning, 10: Discussion Method, 11: Demonstration Method, 12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 17: Experimental Technique, 21: Simulation Technique, 3: Problem Baded Learning Model, 37: Computer-Internet Supported Instruction, 4: Inquiry-Based Learning, 5: Cooperative Learning, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, B: Short Answer Exam, C: Multiple-Choice Exam, E: Homework, G: Quiz, R: Simulation-Based Evaluation |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Basics of getting, installing, and running Matlab, introducing MATLAB Environment (IDE), some important commands, pre-defined variables, special characters, mathematical operators, input and output, creating, saving and running scripts. | Previewing book and lecture notes |
| 2 | Arrays, array-related MATLAB built-in functions, adding and removing elements from an array, finding specific elements in an array, array operations, mathematical operations on arrays, plotting arrays. | Previewing book and lecture notes |
| 3 | Matrices, matrix-related MATLAB built-in functions, adding and removing elements, rows and columns, finding specific elements in a matrix, matrix operations, mathematical operations on matrices, concatenation of matrices, plotting matrices. | Previewing book and lecture notes |
| 4 | Some important MATLAB built-in functions. | Previewing book and lecture notes |
| 5 | Strings, string arrays, basic string operations, concatenation, indexing, string functions, differences between strings and character arrays. | Previewing book and lecture notes |
| 6 | Plotting, plot customization (color, line style, markers), multiple plots, 3D Plotting, saving plots in different formats, figure properties. | Previewing book and lecture notes |
| 7 | General overview. | Previewing book and lecture notes |
| 8 | If-Else Statement, multiple conditions, logical conditions, relational operators, logical operators, nested If statements, If with vectors and matrices. Switch-Case Statement, multiple cases, the otherwise block evaluating expressions in case. | Previewing book and lecture notes |
| 9 | For-While Loops, looping over arrays and matrices, nested for loops, preallocating arrays in loops, infinite loops, breaking out of loops, using continue in loops, looping until a condition is met, efficient looping with vectorization. | Previewing book and lecture notes |
| 10 | Functions, defining inputs and outputs, calling a function, function handle, anonymous functions, variable number of inputs and outputs, local and global variables, recursion, using built-in functions. | Previewing book and lecture notes |
| 11 | Installing and Using Toolboxes, Symbolic Math Toolbox, creating symbolic variables, symbolic expressions, basic operations. | Previewing book and lecture notes |
| 12 | Using Live Editor with Symbolic Math Toolbox, differentiation, integration, solving equations, simplifying expressions, substitution, numerical evaluation, plotting symbolic expressions. | Previewing book and lecture notes |
| 13 | Optimization Toolbox and Fuzzy System Toolbox | Previewing book and lecture notes |
| 14 | General overview. | Previewing book and lecture notes |
| Resources |
| William J. Palm, 2005, Introduction to Matlab 7 for Engineers, Mc Graw Hill.Brian H. Hahn, Daniel T. Valentine, 2017, Essential MATLAB for Engineers and Scientists, Academic Press |
| Brian H. Hahn, Daniel T. Valentine, 2017, Essential MATLAB for Engineers and Scientists, Academic Press |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems. | X | |||||
| 2 | Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. | X | |||||
| 3 | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. | ||||||
| 4 | Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. | X | |||||
| 5 | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. | X | |||||
| 6 | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | ||||||
| 7 | Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. | X | |||||
| 8 | Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | X | |||||
| 9 | Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices. | X | |||||
| 10 | Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development. | ||||||
| 11 | Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 30 | |
| Rate of Final Exam to Success | 70 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 14 | 4 | 56 | |||
| Guided Problem Solving | 5 | 1 | 5 | |||
| Resolution of Homework Problems and Submission as a Report | 3 | 8 | 24 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Quiz | 0 | 0 | 0 | |||
| Midterm Exam | 1 | 40 | 40 | |||
| General Exam | 1 | 50 | 50 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 175 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(175/30) | 6 | |||||
| ECTS of the course: 30 hours of work is counted as 1 ECTS credit. | ||||||
Detail Informations of the Course
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| PROGRAMMING with MATLAB | - | Fall Semester | 2+2 | 3 | 6 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Assoc.Prof. Atakan MANGIR |
| Name of Lecturer(s) | Abdullah Hulusi KÖKÇAM, Prof.Dr. Mehmet Kemal ÖZDEMİR |
| Assistant(s) | |
| Aim | Equipping the ability to perform data analysis, numerical computing, algorithm development, and modelling and simulation of complex systems. Solving engineering problems, automating tasks, and applying advanced techniques through specialized toolboxes, preparing individuals for real-world technical challenges for academia and industry. |
| Course Content | This course contains; Basics of getting, installing, and running Matlab, introducing MATLAB Environment (IDE), some important commands, pre-defined variables, special characters, mathematical operators, input and output, creating, saving and running scripts.,Arrays, array-related MATLAB built-in functions, adding and removing elements from an array, finding specific elements in an array, array operations, mathematical operations on arrays, plotting arrays.,Matrices, matrix-related MATLAB built-in functions, adding and removing elements, rows and columns, finding specific elements in a matrix, matrix operations, mathematical operations on matrices, concatenation of matrices, plotting matrices.,Some important MATLAB built-in functions.,Strings, string arrays, basic string operations, concatenation, indexing, string functions, differences between strings and character arrays.,Plotting, plot customization (color, line style, markers), multiple plots, 3D Plotting, saving plots in different formats, figure properties.,General overview.,If-Else Statement, multiple conditions, logical conditions, relational operators, logical operators, nested If statements, If with vectors and matrices. Switch-Case Statement, multiple cases, the otherwise block evaluating expressions in case.,For-While Loops, looping over arrays and matrices, nested for loops, preallocating arrays in loops, infinite loops, breaking out of loops, using continue in loops, looping until a condition is met, efficient looping with vectorization.,Functions, defining inputs and outputs, calling a function, function handle, anonymous functions, variable number of inputs and outputs, local and global variables, recursion, using built-in functions.,Installing and Using Toolboxes, Symbolic Math Toolbox, creating symbolic variables, symbolic expressions, basic operations.,Using Live Editor with Symbolic Math Toolbox, differentiation, integration, solving equations, simplifying expressions, substitution, numerical evaluation, plotting symbolic expressions.,Optimization Toolbox and Fuzzy System Toolbox,General overview.. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Distinct MATLAB basics. | 1, 10, 11, 12, 13, 14, 16, 17, 21, 3, 37, 4, 5, 6, 9 | A, B, C, E, G, R |
| Model an engineering problem in MATLAB. | 1, 10, 11, 12, 13, 14, 16, 17, 21, 3, 37, 4, 5, 6, 9 | A, B, C, E, G, R |
| Solve the modeled problem, using special toolkits for this. | 1, 10, 11, 12, 13, 14, 16, 17, 21, 3, 37, 4, 5, 6, 9 | A, B, C, E, G, R |
| Perform modeling and simulation. | 1, 10, 11, 12, 13, 14, 16, 17, 21, 3, 37, 4, 5, 6, 9 | A, B, C, E, G, R |
| Perform data analysis and visualization. | 1, 10, 11, 12, 13, 14, 16, 17, 21, 3, 37, 4, 5, 6, 9 | A, B, C, E, G, R |
| Teaching Methods: | 1: Mastery Learning, 10: Discussion Method, 11: Demonstration Method, 12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 17: Experimental Technique, 21: Simulation Technique, 3: Problem Baded Learning Model, 37: Computer-Internet Supported Instruction, 4: Inquiry-Based Learning, 5: Cooperative Learning, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, B: Short Answer Exam, C: Multiple-Choice Exam, E: Homework, G: Quiz, R: Simulation-Based Evaluation |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Basics of getting, installing, and running Matlab, introducing MATLAB Environment (IDE), some important commands, pre-defined variables, special characters, mathematical operators, input and output, creating, saving and running scripts. | Previewing book and lecture notes |
| 2 | Arrays, array-related MATLAB built-in functions, adding and removing elements from an array, finding specific elements in an array, array operations, mathematical operations on arrays, plotting arrays. | Previewing book and lecture notes |
| 3 | Matrices, matrix-related MATLAB built-in functions, adding and removing elements, rows and columns, finding specific elements in a matrix, matrix operations, mathematical operations on matrices, concatenation of matrices, plotting matrices. | Previewing book and lecture notes |
| 4 | Some important MATLAB built-in functions. | Previewing book and lecture notes |
| 5 | Strings, string arrays, basic string operations, concatenation, indexing, string functions, differences between strings and character arrays. | Previewing book and lecture notes |
| 6 | Plotting, plot customization (color, line style, markers), multiple plots, 3D Plotting, saving plots in different formats, figure properties. | Previewing book and lecture notes |
| 7 | General overview. | Previewing book and lecture notes |
| 8 | If-Else Statement, multiple conditions, logical conditions, relational operators, logical operators, nested If statements, If with vectors and matrices. Switch-Case Statement, multiple cases, the otherwise block evaluating expressions in case. | Previewing book and lecture notes |
| 9 | For-While Loops, looping over arrays and matrices, nested for loops, preallocating arrays in loops, infinite loops, breaking out of loops, using continue in loops, looping until a condition is met, efficient looping with vectorization. | Previewing book and lecture notes |
| 10 | Functions, defining inputs and outputs, calling a function, function handle, anonymous functions, variable number of inputs and outputs, local and global variables, recursion, using built-in functions. | Previewing book and lecture notes |
| 11 | Installing and Using Toolboxes, Symbolic Math Toolbox, creating symbolic variables, symbolic expressions, basic operations. | Previewing book and lecture notes |
| 12 | Using Live Editor with Symbolic Math Toolbox, differentiation, integration, solving equations, simplifying expressions, substitution, numerical evaluation, plotting symbolic expressions. | Previewing book and lecture notes |
| 13 | Optimization Toolbox and Fuzzy System Toolbox | Previewing book and lecture notes |
| 14 | General overview. | Previewing book and lecture notes |
| Resources |
| William J. Palm, 2005, Introduction to Matlab 7 for Engineers, Mc Graw Hill.Brian H. Hahn, Daniel T. Valentine, 2017, Essential MATLAB for Engineers and Scientists, Academic Press |
| Brian H. Hahn, Daniel T. Valentine, 2017, Essential MATLAB for Engineers and Scientists, Academic Press |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems. | X | |||||
| 2 | Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. | X | |||||
| 3 | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. | ||||||
| 4 | Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. | X | |||||
| 5 | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. | X | |||||
| 6 | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | ||||||
| 7 | Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. | X | |||||
| 8 | Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | X | |||||
| 9 | Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices. | X | |||||
| 10 | Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development. | ||||||
| 11 | Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 30 | |
| Rate of Final Exam to Success | 70 | |
| Total | 100 | |