Engineering Mathematics 1 (5 cr)
Code: TT00EM33-3038
General information
- Enrollment
-
30.05.2022 - 28.06.2022
Registration for the implementation has ended.
- Timing
-
01.08.2022 - 31.12.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Virtual portion
- 5 cr
- Mode of delivery
- Online
- Unit
- (2019-2024) School of ICT
- Campus
- Karaportti 2
- Teaching languages
- English
- Seats
- 0 - 3000
- Degree programmes
- Information and Communication Technology
- Teachers
- Mika Hyyryläinen
- Virve Prami
- Teacher in charge
- Janne Salonen
- Groups
-
VIOPE_NonStop7VIOPE_NonStop7
- Course
- TT00EM33
Objective
1. Polynomial functions and equations
3. Vectors
4. Analytic geometry
5. Differential Calculus
6. Trigonometry
7. Exponential models and logarithms
8. Integral Calculus
9. Statistics and Probability
10. Number theory
11. Algorithms in mathematics
Content
1. Polynomial functions and equations
3. Vectors
4. Analytic geometry
5. Differential Calculus
6. Trigonometry
7. Exponential models and logarithms
8. Integral Calculus
9. Statistics and Probability
10. Number theory
11. Algorithms in mathematics
Location and time
Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.
Materials
Can be find on study environment.
Teaching methods
100% online (Self-Study) course.
Employer connections
N/A
Exam schedules
Can be find on study environment.
International connections
N/A
Completion alternatives
N/A
Student workload
Up to Student her-/himself
Content scheduling
Up to Student her-/himself
Evaluation scale
0-5
Assessment criteria, approved/failed
To get credits Student have to do at least 80% of course.
Assessment methods and criteria
When you have done at least 80% of tasks, please send email to viopesupport@metropolia.fi.
Further information
100% online (Self-Study) course.
Objective
1. Polynomial functions and equations
3. Vectors
4. Analytic geometry
5. Differential Calculus
6. Trigonometry
7. Exponential models and logarithms
8. Integral Calculus
9. Statistics and Probability
10. Number theory
11. Algorithms in mathematics
Content
1. Polynomial functions and equations
3. Vectors
4. Analytic geometry
5. Differential Calculus
6. Trigonometry
7. Exponential models and logarithms
8. Integral Calculus
9. Statistics and Probability
10. Number theory
11. Algorithms in mathematics
Further information
100% online (Self-Study) course.