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) | Assist.Prof. Abdussamet SUBAŞI |
| Assistant(s) | |
| Aim | Learning to computer programming and calculation principles with gaining ability to develop open source programming codes and contributing to develop of engineering problem solving ability. |
| Course Content | This course contains; Introduction to Scientific and Engineering Computations,Introduction to Matlab Computing Environment,Variables, Operations and Simple Plot,Algorithms and Logic Operators,Flow Control, Errors and Source of Errors,Functions,Arrays,Solving Simple Equations,Examples on Polynomials,Applications of Curve Fitting,Applications of Interpolation ,Application of Numerical Integration,Symbolic Mathematics,Ordinary Differential Equation (ODE) Solutions with Built-in Functions. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Analyze the contemporary issues of engineering problems. | 12, 14, 16, 6, 8, 9 | A, E, G |
| Relate them to the problem-solution methods. | 12, 14, 16, 6, 8, 9 | A, E, G |
| Develop the engineering problem solution methods. | 12, 14, 16, 6, 8, 9 | A, E, G |
| Implement engineering design. | 12, 14, 16, 6, 8, 9 | A, E, G |
| Prepare scientific report. | 12, 14, 16, 6, 8, 9 | A, E, G |
| Design engineering project. | 12, 14, 16, 6, 8, 9 | A, E, G |
| Teaching Methods: | 12: Problem Solving Method, 14: Self Study Method, 16: Question - Answer Technique, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework, G: Quiz |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction to Scientific and Engineering Computations | Previewing book and lecture notes |
| 2 | Introduction to Matlab Computing Environment | Previewing book and lecture notes |
| 3 | Variables, Operations and Simple Plot | Previewing book and lecture notes |
| 4 | Algorithms and Logic Operators | Previewing book and lecture notes |
| 5 | Flow Control, Errors and Source of Errors | Previewing book and lecture notes |
| 6 | Functions | Previewing book and lecture notes |
| 7 | Arrays | Previewing book and lecture notes |
| 8 | Solving Simple Equations | Previewing book and lecture notes |
| 9 | Examples on Polynomials | Previewing book and lecture notes |
| 10 | Applications of Curve Fitting | Previewing book and lecture notes |
| 11 | Applications of Interpolation | Previewing book and lecture notes |
| 12 | Application of Numerical Integration | Previewing book and lecture notes |
| 13 | Symbolic Mathematics | Previewing book and lecture notes |
| 14 | Ordinary Differential Equation (ODE) Solutions with Built-in Functions | 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 |
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. | X | |||||
| 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. | ||||||
| 6 | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | X | |||||
| 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. | X | |||||
| 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 | 14 | 2 | 28 | |||
| Resolution of Homework Problems and Submission as a Report | 14 | 3 | 42 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Quiz | 3 | 2 | 6 | |||
| Midterm Exam | 1 | 24 | 24 | |||
| General Exam | 1 | 24 | 24 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 180 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(180/30) | 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) | Assist.Prof. Abdussamet SUBAŞI |
| Assistant(s) | |
| Aim | Learning to computer programming and calculation principles with gaining ability to develop open source programming codes and contributing to develop of engineering problem solving ability. |
| Course Content | This course contains; Introduction to Scientific and Engineering Computations,Introduction to Matlab Computing Environment,Variables, Operations and Simple Plot,Algorithms and Logic Operators,Flow Control, Errors and Source of Errors,Functions,Arrays,Solving Simple Equations,Examples on Polynomials,Applications of Curve Fitting,Applications of Interpolation ,Application of Numerical Integration,Symbolic Mathematics,Ordinary Differential Equation (ODE) Solutions with Built-in Functions. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Analyze the contemporary issues of engineering problems. | 12, 14, 16, 6, 8, 9 | A, E, G |
| Relate them to the problem-solution methods. | 12, 14, 16, 6, 8, 9 | A, E, G |
| Develop the engineering problem solution methods. | 12, 14, 16, 6, 8, 9 | A, E, G |
| Implement engineering design. | 12, 14, 16, 6, 8, 9 | A, E, G |
| Prepare scientific report. | 12, 14, 16, 6, 8, 9 | A, E, G |
| Design engineering project. | 12, 14, 16, 6, 8, 9 | A, E, G |
| Teaching Methods: | 12: Problem Solving Method, 14: Self Study Method, 16: Question - Answer Technique, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework, G: Quiz |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction to Scientific and Engineering Computations | Previewing book and lecture notes |
| 2 | Introduction to Matlab Computing Environment | Previewing book and lecture notes |
| 3 | Variables, Operations and Simple Plot | Previewing book and lecture notes |
| 4 | Algorithms and Logic Operators | Previewing book and lecture notes |
| 5 | Flow Control, Errors and Source of Errors | Previewing book and lecture notes |
| 6 | Functions | Previewing book and lecture notes |
| 7 | Arrays | Previewing book and lecture notes |
| 8 | Solving Simple Equations | Previewing book and lecture notes |
| 9 | Examples on Polynomials | Previewing book and lecture notes |
| 10 | Applications of Curve Fitting | Previewing book and lecture notes |
| 11 | Applications of Interpolation | Previewing book and lecture notes |
| 12 | Application of Numerical Integration | Previewing book and lecture notes |
| 13 | Symbolic Mathematics | Previewing book and lecture notes |
| 14 | Ordinary Differential Equation (ODE) Solutions with Built-in Functions | 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 |
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. | X | |||||
| 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. | ||||||
| 6 | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | X | |||||
| 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. | X | |||||
| 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 | |