Vectors and matrices

Structure Type: Course
Code: KC00AMT1010
Type: Compulsory
Level: Bachelor
Credits: 3.0 points
Responsible Teacher: Paananen, Juhani
Teacher Team: Paananen, Juhani ; Mikkonen, Pasi ; Kokkonen, Heikki ; Junell, Pasi ; Miettinen, Katja
Language of Instruction: Finnish

Course Implementations, Planned Year of Study and Semester

Curriculum  Semester  Credits  Start of Semester  End of Semester
AUTE-2013KAUT   1 spring   3.0   2014-01-02   2014-07-31  
AUTE-2013SAUT   1 spring   3.0   2014-01-02   2014-07-31  
BIOEL-2013   1 spring   3.0   2014-01-02   2014-07-31  
KOTU-2013AUTO   1 autumn   3.0   2013-09-01   2013-12-31  
KOTU-2013KOTU   1 autumn   3.0   2013-09-01   2013-12-31  
TITE-2013   1 autumn   3.0   2013-09-01   2013-12-31  
AUTE-2014KAUT   1 spring   3.0   2015-01-02   2015-07-31  
AUTE-2014SAUT   1 spring   3.0   2015-01-02   2015-07-31  
KOTU-2014AUTO   1 autumn   3.0   2014-09-01   2014-12-31  
KOTU-2014KOTU   1 autumn   3.0   2014-09-01   2014-12-31  
TITE-2014   1 autumn   3.0   2014-09-01   2014-12-31  
AUTE-2015KAUT   1 spring   3.0   2016-01-01   2016-07-31  
AUTE-2015SAUT   1 spring   3.0   2016-01-01   2016-07-31  
KOTU-2015AUTO   1 spring   3.0   2016-01-01   2016-07-31  
KOTU-2015KOTU   1 spring   3.0   2016-01-01   2016-07-31  
TITE-2015   1 spring   3.0   2016-01-01   2016-07-31  
AUTE-2016KAUT   1 spring   3.0   2017-01-01   2017-07-31  
AUTE-2016SAUT   1 spring   3.0   2017-01-01   2017-07-31  
KOTU-2016AUTO   1 spring   3.0   2017-01-01   2017-07-31  
KOTU-2016KOTU   1 spring   3.0   2017-01-01   2017-07-31  
TITE-2016   1 spring   3.0   2017-01-01   2017-07-31  

Learning Outcomes

Upon completion of the course, students will be competent in:
- doing 3D vector calculations.
- using vectors to solve problems pertaining to space geometry.
- solving equations of a straight line.
- utilising linear optimization.
- doing matrix algebra
- using calculation tools.
- utilising the above-mentioned methods in their Professional Studies and in the working world.

Student's Workload

Total work load of the course: 80 h
- of which scheduled studies: 48 h
- of which autonomous studies: 32 h

Prerequisites / Recommended Optional Courses

Algebra and Trigonometry

Contents

- Addition of vector
- Unit vectors
- Scalar product and cross product
- Scalar component and vector component
- Scalar triple product
- Vectors in statics
- Equation of a straight line
- Linear optimization
- Matrix algebra

Recommended or Required Reading

To be announced at the beginning of the course.

Mode of Delivery / Planned Learning Activities and Teaching Methods

- Lectures and calculations: 48 h
- Independent study

Assessment Criteria

excellent (5): student understands and is able to apply the methods of vectors and matrices excellently
good (3-4): student understands and is able to apply the methods of vectors and matrices well
satisfactory (1-2): students understands the basics of vectors and matrices

Assessment Methods

Final exam

Work Placement

None

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