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Linear Algebra (5 cr)

Code: R504D58-3004

General information


Enrollment
24.03.2025 - 31.08.2025
Registration for the implementation has begun.
Timing
01.09.2025 - 12.10.2025
The implementation has not yet started.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
Contact learning
Unit
Bachelor of Engineering, Information Technology
Teaching languages
English
Seats
0 - 30
Degree programmes
Machine Learning and Data Engineering
Teachers
Miika Aitomaa
Teacher in charge
Miika Aitomaa
Groups
R54D24S
Bachelor of Engineering, Machine Learning and Data Engineering (full time studies), 2024
Course
R504D58

Evaluation scale

H-5

Objective

The student learns fundamental mathematical concepts, principles, tools (including computing environments) and terminology for professional studies.

Content

- Mathematical objects: scalars, vectors, matrices and tensors
- Basic matrix operations
- Special type of matrices and vectors
- Systems of linear equations
- Determinants
- Analytic geometry; inner and outer products, projections
- Vector spaces and linear mappings
- Linear dependence, span
- Linear regression

Location and time

Autumn term 2025, Lapland University of Applied Sciences, Rantavitikka campus (Rovaniemi, Jokiväylä 11)

Materials

Study material is available as an eBook and on the Moodle learning platform.


Teaching methods

Lessons and exercises

Exam schedules

The number and date of exams will be agreed on during the course. Resit is possible by the end of the next term.

Completion alternatives

Studying independently is possible. All exercises must be returned in time to be evaluated.

Student workload

5 credits, approximately 135 hours of work

Assessment criteria, satisfactory (1)

The student knows the concepts of linear algebra and is able to solve basic problems.

Assessment criteria, good (3)

The student understands the concepts of linear algebra and is able to solve varied problems related to applications of linear algebra.

Assessment criteria, excellent (5)

The student understands the concepts of linear algebra and is able to apply methods of linear algebra in solving and handling new types of problems.

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