Algebra, Geometry and TrigonometryLaajuus (5 cr)
Code: R504D51
Credits
5 op
Teaching language
- English
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
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.
Enrollment
15.05.2024 - 15.09.2024
Timing
02.09.2024 - 10.11.2024
Credits
5 op
Mode of delivery
Contact teaching
Teaching languages
- English
Seats
0 - 30
Degree programmes
- Machine Learning and Data Engineering
Teachers
- Miika Aitomaa
Responsible person
Miika Aitomaa
Student groups
-
R54D24SBachelor of Engineering, Machine Learning and Data Engineering (full time studies), 2024
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.
Evaluation scale
H-5
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.
Assessment methods and criteria
Evaluation is based on exercises and tests and/or exams . The emphasise on these will be agreed upon at the beginning of the course.
Assessment criteria, fail (0)
Student doesn't meet the basic requirements of grade 1.
Assessment criteria, satisfactory (1-2)
Student understands basic concepts of subject matter, such as basic calculus of fractions, powers, roots and polynomials. Student is capable of solving basic exercises such as linear equations and quadratic equations, and can solve a missing side and angle of a right triangle using trigonometry and Pythagorean Theorem.
Assessment criteria, good (3-4)
Student understands more complicated concepts of subject matter, such as the properties of quadratic functions and solid geometry. Student is capable of solving versatile exercises such as factoring, inequalities and versatile geometrical problems. Student uses correct mathematical language and can create logical solutions.
Assessment criteria, excellent (5)
Student is capable of applying concepts of subject matter to new problems and solve them in exact mathematical language.
Enrollment
13.03.2023 - 25.09.2023
Timing
01.09.2023 - 17.12.2023
Credits
5 op
Mode of delivery
Contact teaching
Unit
Bachelor of Engineering, Information Technology
Teaching languages
- English
Seats
0 - 30
Degree programmes
- Machine Learning and Data Engineering
Teachers
- Miika Aitomaa
Responsible person
Miika Aitomaa
Student groups
-
R54D23SBachelor of Engineering, Machine Learning and Data Engineering (full time studies), 2023
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 2023, 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.
Evaluation scale
H-5
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.
Assessment methods and criteria
Evaluation is based on tests and/or exams and exercises. The emphasise on these will be agreed upon at the beginning of the course.
Assessment criteria, fail (0)
Student doesn't meet the basic requirements of grade 1.
Assessment criteria, satisfactory (1-2)
Student understands basic concepts of subject matter and is capable of solving basic exercises.
Assessment criteria, good (3-4)
Student understands more complicated concepts of subject matter and is capable of solving versatile exercises. Student uses correct mathematical language and can create logical solutions.
Assessment criteria, excellent (5)
Student is capable of applying concepts of subject matter to new problems and solve them in exact mathematical language.
Enrollment
14.03.2022 - 30.09.2022
Timing
07.09.2022 - 18.12.2022
Credits
5 op
Mode of delivery
Contact teaching
Unit
Bachelor of Engineering, Information Technology
Teaching languages
- English
Seats
0 - 35
Teachers
- Miika Aitomaa
Responsible person
Miika Aitomaa
Student groups
-
R54D22S
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 2022, Lapland University of Applied Sciences, Rantavitikka campus (Rovaniemi, Jokiväylä 11)
Materials
Study material is available on Moodle learning platform.
Teaching methods
Lessons and exercises
Exam schedules
The number and date of exams will be agreed 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.
Evaluation scale
H-5
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.
Assessment methods and criteria
Evaluation is based on tests, exams and exercises. Emphasise of these will be agreed on in the beginning of the course.
Assessment criteria, fail (0)
Student doesn't meet the basic requirements of grade 1.
Assessment criteria, satisfactory (1-2)
Student understands basic concepts of subject matter and is capable of solving basic exercises.
Assessment criteria, good (3-4)
Student understands more complicated concepts of subject matter and is capable of solving versatile exercises.
Assessment criteria, excellent (5)
Student is capable of applying concepts of subject matter to new problems and solve them.