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Course Catalog 2014-2015
SGN-84006 Introduction to Scientific Computing with Matlab, 3 cr |
Additional information
Suitable for postgraduate studies
Person responsible
Heikki Huttunen
Lessons
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Requirements
In-class assignments and a project work.
Learning Outcomes
The student will be able to use Matlab for processing signals and data using modern methodologies. He can also produce 2D and 3D visualizations to be included in scientific reports. After completing the course: (1)The student is familiar with Matlab environment, is able to input and output data in various formats, and can run Matlab functions. (2) The student is familiar with the programming language constructions in Matlab and can implement simple routines. (3) The student is able to produce 2D and 3D plots, and annotate them along scientific publication standards. (4) The student is familiar with the general structure of toolboxes; in particular with the Signal Processing toolbox, the Image Processing toolbox and the Statistics toolbox.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Desktop tools and development environment | ||
| 2. | Data import and export | ||
| 3. | Mathematics: arrays and matrices, linear algebra | ||
| 4. | Data analysis: covariance, correlation, filtering, convolution, numerical derivatives, integrals, Fourier transforms, time series analysis | ||
| 5. | Programming: Function evaluation, program control, error handling, data types, timers | ||
| 6. | Graphics: Plotting, annotating graphs, images | ||
| 7. | 3D visualization: Surface and mesh plots, lighting, transparency, volume visualization | ||
| 8. | Matlab in campus: Distributed computing |
Study material
| Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
| Book | Matlab for Engineers | Moore, Holly | 978-0132103251 | No | English |
Prerequisite relations (Requires logging in to POP)
Correspondence of content
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More precise information per implementation
| Implementation | Description | Methods of instruction | Implementation |
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Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 % |