Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| PROGRAMMING with MATLAB | CEE2149090 | Fall Semester | 2+2 | 3 | 6 |
| Course Program | Pazartesi 09:00-09:45 Pazartesi 10:00-10:45 Çarşamba 16:30-17:15 Çarşamba 17:30-18:15 Çarşamba 18:30-19:15 |
| 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) | Res.Assist. Recep Akif TAŞÇI, 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 | An ability to apply knowledge of mathematics, science, and engineering. | X | |||||
| 2 | An ability to identify, formulate, and solve engineering problems. | X | |||||
| 3 | An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability. | ||||||
| 4 | An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. | X | |||||
| 5 | An ability to design and conduct experiments, as well as to analyze and interpret data. | X | |||||
| 6 | An ability to function on multidisciplinary teams. | ||||||
| 7 | An ability to communicate effectively. | X | |||||
| 8 | A recognition of the need for, and an ability to engage in life-long learning. | X | |||||
| 9 | An understanding of professional and ethical responsibility. | X | |||||
| 10 | A knowledge of contemporary issues. | ||||||
| 11 | The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context. | ||||||
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 | CEE2149090 | Fall Semester | 2+2 | 3 | 6 |
| Course Program | Pazartesi 09:00-09:45 Pazartesi 10:00-10:45 Çarşamba 16:30-17:15 Çarşamba 17:30-18:15 Çarşamba 18:30-19:15 |
| 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) | Res.Assist. Recep Akif TAŞÇI, 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 | An ability to apply knowledge of mathematics, science, and engineering. | X | |||||
| 2 | An ability to identify, formulate, and solve engineering problems. | X | |||||
| 3 | An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability. | ||||||
| 4 | An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. | X | |||||
| 5 | An ability to design and conduct experiments, as well as to analyze and interpret data. | X | |||||
| 6 | An ability to function on multidisciplinary teams. | ||||||
| 7 | An ability to communicate effectively. | X | |||||
| 8 | A recognition of the need for, and an ability to engage in life-long learning. | X | |||||
| 9 | An understanding of professional and ethical responsibility. | X | |||||
| 10 | A knowledge of contemporary issues. | ||||||
| 11 | The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 30 | |
| Rate of Final Exam to Success | 70 | |
| Total | 100 | |