Algebra, Geometry and Trigonometry (5 cr)

Code: R504D51-3004

General information

Enrollment: 15.05.2024 - 15.09.2024
Registration for the implementation has ended.

Timing: 02.09.2024 - 10.11.2024
Implementation has ended.

Number of ECTS credits allocated: 5 cr

Local portion: 5 cr

Mode of delivery: Contact learning

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: R504D51

Evaluation scale

H-5

Objective

The student learns fundamental mathematical concepts, principles, tools and terminology to be applied in professional studies.

Content

- Basics of logic and set theory
- Expressions, equations, inequality
- Functions
- Geometry; 2D, 3D
- Trigonometry

Location and time

Autumn term 2024, 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 algebra, geometry and trigonometry, and is able to solve basic problems.

Assessment criteria, good (3)

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

Assessment criteria, excellent (5)

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