Linear Algebra
| Structure Type: | Course |
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| Code: | RAK1B3 |
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| Type: | Compulsory |
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| Level: | Bachelor |
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| Credits: | 3.0 points |
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| Responsible Teacher: | Paananen, Juhani |
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| Language of Instruction: | Finnish |
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Course Implementations, Planned Year of Study and Semester
| Curriculum | Semester | Credits | Start of Semester | End of Semester |
| RAK-2015RASU |
1 spring |
3.0 |
2016-01-01 |
2016-07-31 |
| RAK-2015TUTE |
1 spring |
3.0 |
2016-01-01 |
2016-07-31 |
| RAK-2016RASU |
1 spring |
3.0 |
2017-01-01 |
2017-07-31 |
| RAK-2016TUTE |
1 spring |
3.0 |
2017-01-01 |
2017-07-31 |
Learning Outcomes
Learning competence
Upon completion of the course, the student will be competent in doing 2D- and 3D-vectors calculations, using vectors to solve problems pertaining to plane and space geometry, calculating basic matrix functions, using calculation tools, using their acquired knowledge in their Professional Studies and the working world.
Working community competence
Students are able to present the stages of linearalgebraic problem solving orally and in writing. Students are able to function in various groups and teams and to manage teams, which seek solutions for linear algebraic problems.
Quality management competence
Students are able to apply both exact and approximate methods to determine the correctness of mathematical work. Students know how to estimate the inaccuracy of measurements and take it into consideration.
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. Geometry.
Contents
Vectors
• Sum and difference of vectors
• Unit vector
• Dot product
• Cross product
• Scalar and vector components
• Vector applications in statics: resultant, moment
Matrices
• Matrix algebra
• Matrix inverse
• Determinants
• Eigenvalues and eigenvectors
Recommended or Required Reading
To be announced at the beginning of the course.
Mode of Delivery / Planned Learning Activities and Teaching Methods
Lectures and exercises, independent study
Assessment Criteria
1 students understands the basics of vectors and matrices
3 student understands and is able to apply the methods of vectors and matrices well
5 student understands and is able to apply the methods of vectors and matrices excellently
Assessment Methods
Final exam
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