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| BILB2009 | Mathematical Software | 4+0+0 | ECTS:5 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | COMPUTER SCIENCE | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 4 hours of lectures per week | | Lecturer | Dr. Öğr. Üyesi Özge TEZEL | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The aim of this course is to teach how to use the Python programming language and libraries. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Identify data types and variables. | 1 | 1,4, | | LO - 2 : | Identify arithmetic,logical, conditional operators, if-else statements and compose Python code using them. | 1,2 | 1,4, | | LO - 3 : | Can write programs with Python programming language. | 2 | 1,4, | | LO - 4 : | Manage and manipulate data arrays using Numpy. | 1,2 | 1,4, | | LO - 5 : | Uses existing libraries for different applications. | 1,2 | 1,4, | | LO - 6 : | Interpret and generate data visualizations using modules. | 2 | 1,4, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Python programming language, Python data types, basic operations, conditional structures, loops, lists and dictionaries, functions, recursive functions, using libraries in Python, Numpy Library, Sympy Library |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Python programming language | | | Week 2 | Python data types | | | Week 3 | basic operations, | | | Week 4 | basic operations, | | | Week 5 | conditional structures | | | Week 6 | loops | | | Week 7 | lists and dictionaries | | | Week 8 | functions | | | Week 9 | Midterm Exam | | | Week 10 | recursive functions | | | Week 11 | using libraries in Python | | | Week 12 | Numpy Library | | | Week 13 | Numpy Library | | | Week 14 | Sympy Library | | | Week 15 | Matplotlib Library | | | Week 16 | Final exam | | | |
| 1 | Allen B. Downey 2015; Think Python O'Reilly Media, Inc, USA | | | |
| 1 | Karaçay, T. 2017; Yeni Başlayanlar İçin Python 3 Temel Kavramlar, Seçkin Yayıncılık | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | 2 | 50 | | End-of-term exam | 16 | | 2 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 4 | 14 | 56 | | Sınıf dışı çalışma | 3 | 14 | 42 | | Arasınav için hazırlık | 10 | 1 | 10 | | Arasınav | 2 | 1 | 2 | | Dönem sonu sınavı için hazırlık | 10 | 1 | 10 | | Dönem sonu sınavı | 2 | 1 | 2 | | Total work load | | | 122 |
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