MAT-53106 NUMERICAL ANALYSIS 2, 2 cr
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Courses persons responsible
Robert Piche
Lecturers
Robert Piche
Implementations
Period 1 | Period 2 | Period 3 | Period 4 | Period 5 | Summer | |
Exercise | - | - | - | 2 h/week | - | - |
Exercise work | - | - | - | 1 h/week | - | - |
Exam |
Content
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Number representation and computer arithmetic | IEEE floating point number standard | |
2. | Approximation: series, splines, Chebyshev polynomials |   | |
3. | Systems of nonlinear equations, polynomial roots |   | |
4. | Ordinary differential equation boundary value problems |   | |
5. | Using numerical algorithms in Matlab |   |
Requirements for completing the course
Written exam.
Evaluation criteria for the course
Study material
Type | Name | Auhor | ISBN | URL | Edition, availability... | Exam material | Language |
Book | Introduction to Numerical Computation | Lars Eldén et al. | 91-44-03727-9 | Studentlitteratur | Yes | English |
Prerequisites
Code | Course | Credits | M/R |
MAT-31106 | MAT-31106 Numerical Analysis 1 | 3 | Mandatory |
Prequisite relations (Sign up to TUT Intranet required)
Remarks
Scaling
Methods of instruction | Hours |
Exercises | 42 |
Laboratory assignments | 12 |
Other scaled | Hours |
Exam/midterm exam | 3 |
Total sum | 57 |
Correspondence of content
MAT-53100 Numerical Analysis 2
Last modified | 08.02.2007 |
Modified by | Robert Piche |