Basic Information
1. Introduction to Scientific Computing 2. Solving Linear Equations# A. Gaussian Elimination. B. Lu Decomposition. C. Matrices Norms and Condition Number. D. Iterative Methods 3. Solving Nonlinear Equations 4. Introduction to Optimization 5. Qr Factorization, Applications, Eigenvalues, Singular Values. 6. Interpolation Theory. 7. Numerical Integration and Differentiation. 8. Ordinary Differential Equations# Initial Value Problems And Boundary Value Problems.
Faculty: Mechanical Engineering
|Undergraduate Studies
Pre-required courses
(104131 - Ordinary Differential Equations/h and 234112 - Programming )c() or (104131 - Ordinary Differential Equations/h and 234111 - Introduction to Computer Science) or (104131 - Ordinary Differential Equations/h and 234128 - Introduction to Computing With Python)
Course with no extra credit
34033 - Numerical Analysis M 54254 54374 - Process Analysis Using Numerical Methods 84135 - Numerical Analysis For Aerospace Engi. 85135 - Numerical Analysis For Aeronauticai Eng. 104283 - Introduction to Numerical Analysis 104294 - Int. to Numerical Analysis 234125 - Numerical Algorithms
Course with no extra credit (contained)
238125 - Numerical Algorithms M
Semestrial Information
Weekly Hours
4 Academic Credit • 3 Lecture Hours • 2 Discussion Hours
Exams
Session A (International School): 02-09-2024 Session B (International School): 25-09-2024Registration Groups
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Weekly Hours
4 Academic Credit • 3 Lecture Hours • 2 Discussion Hours
Responsible(s)
Daniel Hexner
Notes
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קבוצה 77 סגורה לסיניים בלבד.
Exams
Session A: 21-04-2024 09:00 - 12:00- דייויס 430. 433. 440. 441. 442. 450. 451. 640.
- דייויס 430. 433. 440. 441. 442. 450. 451.
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Weekly Hours
4 Academic Credit • 3 Lecture Hours • 2 Discussion Hours
Responsible(s)
Pinhas Bar-yoseph
Notes
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קבוצה 77 סגורה לסיניים בלבד
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