Fundamentals of Python language and its modules NumPy, SymPy and MatPlotlib
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Course Learning Outcomes
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Learning Outcomes |
Öğretim Yöntemleri |
Ölçme Yöntemleri |
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1) To learn basics of Python language |
1 |
A,B |
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2) To learn numerical computation by |
1 |
A,B |
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3) To learn symbolic computation by using |
1 |
A,B |
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4) To learn plotting graphs of functions by |
1 |
A,B |
Course Flow
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COURSE CONTENT |
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Week |
Topics |
Study Materials |
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1 |
Python Basics |
[T1] Chapter 1 |
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2 |
Variables and Basic Data Structures |
[T1] Chapter 2 |
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3 |
Functions |
[T1] Chapter 3 |
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4 |
Branching Statements; Iteration |
[T1] Chapter 4-5 |
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5 |
Class and Object; Round-Off Errors |
[T1] Sections 7.2, 9.3 |
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6 |
Visualization and Plotting; MIDTERM EXAM 1 |
[T1] Chapter 12 |
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7 |
Linear Algebra and Systems of Linear Equations |
[T1] Chapter 14 |
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8 |
Eigenvalues and Eigenvectors |
[T1] Chapter 15 |
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9 |
Creating and manipulating expressions by using SymPy |
[T2] pp.17-28 |
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10 |
Calculus with SymPy |
[T2] pp.31-34 |
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11 |
Solving equations by SymPy; MIDTERM EXAM 2 |
[T2] pp.35-37 |
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12 |
Taylor Series; Root Finding |
[T1] Chapter 18-19 |
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13 |
Numerical Differentiation; Numerical Integration |
[T1] Chapter 20-21 |
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14 |
Ordinary Differential Equations (ODEs) Initial-Value Problems |
[T1] Chapter 22 |
Recommended Sources
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RECOMMENDED SOURCES |
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Textbook |
[T1] Kong, Qingkai, et al. Python Programming and Numerical Methods: A Guide for Engineers and Scientists. Academic Press, 2021. [T2] Lamy, Ronan. Instant SymPy Starter: Learn to Use SymPy's Symbolic Engine to Simplify Python Calculations. Packt Publishing, 2013. |
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Additional Resources |
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Material Sharing
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MATERIAL SHARING |
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Documents |
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Assignments |
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Exams |
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Assessment
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IN-TERM STUDIES |
NUMBER |
PERCENTAGE |
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Mid-terms |
2 |
70 |
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Quizzes |
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Assignments |
3 | 30 |
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Total |
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100 |
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CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE |
40 |
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CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE |
60 |
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Total |
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100 |
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COURSE CATEGORY |
Expertise/Field Courses |
Course’s Contribution to Program
| No | Program Learning Outcomes | Contribution | ||||
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | The ability to make computation on the basic topics of mathematics such as limit, derivative, integral, logic, linear algebra and discrete mathematics which provide a basis for the fundamenral research fields in mathematics (i.e., analysis, algebra, differential equations and geometry) | x | ||||
| 2 | Acquiring fundamental knowledge on fundamental research fields in mathematics | x | ||||
| 3 | Ability form and interpret the relations between research topics in mathematics | x | ||||
| 4 | Ability to define, formulate and solve mathematical problems | x | ||||
| 5 | Consciousness of professional ethics and responsibilty | x | ||||
| 6 | Ability to communicate actively | x | ||||
| 7 | Ability of self-development in fields of interest | x | ||||
| 8 | Ability to learn, choose and use necessary information technologies | x | ||||
| 9 | Lifelong education | x | ||||
ECTS
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Activities |
Quantity |
Duration |
Total |
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Course Duration (14x Total course hours) |
14 |
3 |
42 |
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Hours for off-the-classroom study (Pre-study, practice) |
14 |
3 |
42 |
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Mid-terms (Including self study) |
2 |
12 |
24 |
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Quizzes |
- |
- |
- |
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Assignments |
7 |
3 |
21 |
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Final examination (Including self study) |
1 |
21 |
21 |
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Total Work Load |
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150 |
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Total Work Load / 25 (h) |
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6 |
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ECTS Credit of the Course |
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6 |