Course Catalog 2007-2008

MIT-1216 MATHEMATICAL METHODS FOR MEASUREMENT TECHNOLOGY, 5 cr
Mathematical Methods for Measurement Technology

Courses persons responsible
Heimo Ihalainen

Lecturers
Heimo Ihalainen

Implementations
  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  
(Timetable for academic year 2007-2008)

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

  • Exercises, assignments and exam.

  • Used assessment scale is numeric (1-5)

    • 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.

  • Partial passing of course must be in connection with the same round of implementation.

    • Distance learning

  • ITC utilized during the course

    • - 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

  • Estimate as a percentage of the implementation of the course

    • - Contact teaching: 40 %
    - Distance learning: 10 %
    - Proportion of a student's independent study: 50 %

    Scaling
    Methods of instructionHours
    Lectures 24
    Exercises 36
    Assignments 34
    Information and communication technology 20

    Study materials Hours
    Online material not in finnish 15

    Other scaledHours
    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

  • The course contains work at computer class or home computer.

    • Course homepage

    Last modified 03.09.2007
    Modified byHeikki Jokinen