MIT-1216 MATHEMATICAL METHODS FOR MEASUREMENT TECHNOLOGY, 5 cr
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Courses persons responsible
Heimo Ihalainen
Lecturers
Heimo Ihalainen
Implementations
Person responsible: |
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Period 1 | Period 2 | Period 3 | Period 4 | Period 5 | Summer | |
Lecture | 2 h/week | - | - | - | - | - |
Exercise | 2 h/week | - | - | - | - | - |
Assignment | - | 16 h/per | 16 h/per | - | - | - |
Exam |
Objectives
Gives abilities and skills to apply mathematical methods in measurement data analysis and results based decision support. Specifically dynamic systems; data and models. Applying and developing of numerical methods using MATLAB.
Content
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Overview to the methods of data-analysis. | Practical knowledge on data-analysis and modeling. | Statistical methods. |
2. | Visualization methods for data-analysis. | Developing new visualization. | |
3. | Performing numerical analysis with MATLAB. | Algorithms for different methods programmed in and applied with MATLAB. Using several toolboxes and software from internet. | The issues of accuracy, memory usage and speed of computations. |
4. | Practical knowledge of signal- and image processing. | Application of Fourier-methods. | |
5. | Principles of dynamic systems. | Modeling and simulation of dynamic systems. |
Requirements for completing the course
Computer exam or theoretical exam is compulsory for a numeric grade. It is possible to have the course passed with an acceptable exercise project.
Evaluation criteria for the course
Study material
Type | Name | Auhor | ISBN | URL | Edition, availability... | Exam material | Language |
Book | Computational Statistics Handbook with MATLAB | W.L.L. Martinez, A.R. Martinez | No | English | |||
Online book | Numerical Computing with MATLAB | C. Moler | No | English | |||
Lecture slides | Mathematical Methods for Measurement Technology | H. Ihalainen | No | English |
Prerequisites
Prequisite relations (Sign up to TUT Intranet required)
Remarks
The material demanded for the exam is composed of a part of the presented literature. This will be informed during the course.
Distance learning
- In information distribution via homepage, newsgroups or mailing lists, e.g. current issues, timetables
- In compiling teaching material, particularly for online use or other electronic media
- In compiling exercise, group or laboratory work
- In distributing and/or returning exercise work, material etc
- In the visualization of objects and phenomena, e.g. animations, demonstrations, simulations, video clips
- In exams or assessment of knowledge and skill/learning
- Contact teaching: 40 %
- Distance learning: 10 %
- Proportion of a student's independent study: 50 %
Scaling
Methods of instruction | Hours |
Lectures | 24 |
Exercises | 36 |
Assignments | 34 |
Information and communication technology | 20 |
Study materials | Hours |
Online material not in finnish | 15 |
Other scaled | Hours |
New tools and study methods | 2 |
Exam/midterm exam | 3 |
Total sum | 134 |
Principles and starting points related to the instruction and learning of the course
Last modified | 31.03.2006 |
Modified by | Heimo Ihalainen |