| School/Faculty/Institute | Graduate School | ||||
| Course Code | ITC 507 | ||||
| Course Title in English | Programming for Data Science | ||||
| Course Title in Turkish | Veri Bilimi için Programlama | ||||
| Language of Instruction | EN | ||||
| Type of Course | Exercise,Lecture | ||||
| Level of Course | Intermediate | ||||
| Semester | Fall | ||||
| Contact Hours per Week |
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| Estimated Student Workload | 174 hours per semester | ||||
| Number of Credits | 7.5 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites | None | ||||
| Co-requisites | None | ||||
| Expected Prior Knowledge | None | ||||
| Registration Restrictions | Only Graduate Students | ||||
| Overall Educational Objective | Students should be able to understand fundamentals of computer programming and learn how to design and implement computer algorithms to solve basic engineering problems in Python programming language | ||||
| Course Description | Fundamentals of computer programming. Algorithm development using iterative refinement, structural design, I/O processes, sequential processes, decision making processes, recursive processes, functions, arrays, files, formatted I/Os, programs in Python |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) Understand computer programming fundamentals.(sequence, branching, iteration) 2) Design basic computer algorithms 3) Create computer programs to solve engineering problems (Implementation in Python) 4) Understand basics of C programming language ( functions, arrays, syntax of Python) |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 |
|---|---|---|---|---|
| 1) An ability to develop and deepen one's knowledge in the field of mechatronics and robotics engineering at the level of expertise based on acquired undergraduate level qualifications. | ||||
| 2) An ability to acquire scientific and practical knowledge in mechatronics and robotics. | ||||
| 3) A comprehensive knowledge about analysis and modeling methods in mechatronics and their limitations. | ||||
| 4) An ability to design and apply analytical, modeling and experimental based research by analyzing and interpreting complex situations encountered in the design process. | ||||
| 5) An ability to transmit the process and results of the work of mechatronics and robotics systems systematically and clearly in written and oral form in national and international environments. | ||||
| 6) An ability to recognize social, scientific and ethical values in the stages of designing and realizing mechatronics and robotic systems and in all professional activities. | ||||
| 7) An ability to follow new and developing practices in the profession and to apply them in their work. | ||||
| 8) An ability to take leadership in multi-disciplinary teams, taking responsibility in the design and analysis of mechatronics and robotic systems in complex situations. | ||||
| 9) An ability to communicate verbally and in writing in English at least at the level of B2 of European Language Portfolio. | ||||
| 10) An understanding of the social and environmental aspects of mechatronics and robotics applications. |
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | An ability to develop and deepen one's knowledge in the field of mechatronics and robotics engineering at the level of expertise based on acquired undergraduate level qualifications. | N | |
| 2) | An ability to acquire scientific and practical knowledge in mechatronics and robotics. | N | |
| 3) | A comprehensive knowledge about analysis and modeling methods in mechatronics and their limitations. | N | |
| 4) | An ability to design and apply analytical, modeling and experimental based research by analyzing and interpreting complex situations encountered in the design process. | N | |
| 5) | An ability to transmit the process and results of the work of mechatronics and robotics systems systematically and clearly in written and oral form in national and international environments. | N | |
| 6) | An ability to recognize social, scientific and ethical values in the stages of designing and realizing mechatronics and robotic systems and in all professional activities. | N | |
| 7) | An ability to follow new and developing practices in the profession and to apply them in their work. | N | |
| 8) | An ability to take leadership in multi-disciplinary teams, taking responsibility in the design and analysis of mechatronics and robotic systems in complex situations. | N | |
| 9) | An ability to communicate verbally and in writing in English at least at the level of B2 of European Language Portfolio. | N | |
| 10) | An understanding of the social and environmental aspects of mechatronics and robotics applications. | N |
| Prepared by and Date | , |
| Course Coordinator | TUNA ÇAKAR |
| Semester | Fall |
| Name of Instructor | Asst. Prof. Dr. TUNA ÇAKAR |
| Week | Subject |
| 1) | Introduction to programming |
| 2) | Variables, strings, numbers, expressions |
| 3) | Sequence, Conditions, loops |
| 4) | Sequence, Conditions, loops |
| 5) | Algorithm Pseudocode |
| 6) | List and list operations |
| 7) | Data structures |
| 8) | Data structures |
| 9) | Data structures |
| 10) | Hash function |
| 11) | Recursive procedures |
| 12) | Open source and big data with python |
| 13) | Open source and big data with python |
| 14) | Students Presentations |
| 15) | Final Examination Period |
| 16) | Final Examination Period |
| Required/Recommended Readings | Python Programming (open source) wikibooks, https://en.wikibooks.org/wiki/Python_Programming | ||||||||||||
| Teaching Methods | Lecturing in the class. Students work individually for project | ||||||||||||
| Homework and Projects | 3 Homeworks, 1 Project | ||||||||||||
| Laboratory Work | Programming in computer laboratory | ||||||||||||
| Computer Use | For Programming with Python | ||||||||||||
| Other Activities | None | ||||||||||||
| Assessment Methods |
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| Course Administration |
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| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 14 | 1 | 3 | 0.5 | 63 | ||
| Laboratory | 14 | 1 | 2 | 0.5 | 49 | ||
| Homework Assignments | 4 | 2 | 10 | 1 | 52 | ||
| Midterm(s) | 1 | 1 | 2 | 3 | |||
| Final Examination | 1 | 20 | 1 | 21 | |||
| Total Workload | 188 | ||||||
| Total Workload/25 | 7.5 | ||||||
| ECTS | 7.5 | ||||||