Math1 Support (1 cr)
Code: TZMV1100-3044
General information
- Enrollment
-
01.08.2022 - 25.08.2022
Registration for the implementation has ended.
- Timing
-
22.08.2022 - 11.11.2022
Implementation has ended.
- Number of ECTS credits allocated
- 1 cr
- Local portion
- 1 cr
- Mode of delivery
- Face-to-face
- Unit
- School of Technology
- Campus
- Main Campus
- Teaching languages
- English
- Degree programmes
- Bachelor's Degree Programme in Energy and Environmental Technology
- Bachelor's Degree Programme in Mechanical Engineering
- Bachelor's Degree Programme in Logistics
- Bachelor's Degree Programme in Construction and Civil Engineering
- Bachelor's Degree Programme in Electrical and Automation Engineering
- Bachelor's Degree Programme in Information and Communications Technology
- Bachelor's Degree Programme in Purchasing and Logistics Engineering
- Teachers
- Kalle Niemi
- Groups
-
TAR22S1Bachelor's Degree Programme in Automation and Robotics
- Course
- TZMV1100
Evaluation scale
Pass/Fail
Objective
Course purpose
This course is meant to be taken simultaneously with Math1 Equations. On this course you receive support in your studies and rehearse the contents of Math1 Equations with guidance.
Course competences
During this course you further your knowledge of mathematical principles underlying engineering with regard to expressions and equations.
EUR-ACE: Knowledge and understanding
You have the knowledge and understanding of mathematics and other basic sciences underlying your engineering specialisation, at a level necessary to achieve the other programme learning outcomes.
Learning outcomes
After completing this course you have increased and strengthened your knowledge about the contents of Math1 Equations course.
Content
During this course you develop your competence with algebraic routines. You practice and strengthen your knowledge about arithmetic operations, manipulating expressions and solving equations.
Location and time
Course shall be implemented in 29.8. - 14.10.2022.
Materials
Text files in the learning environment.
Teaching methods
Guided exercises.
Exam schedules
Schedule is given on the first page of the learning environment.
Student workload
Lectures face-to-face 14 h. Independent work 13 h.
Assessment criteria, approved/failed
You recognise algebraic principles regarding the manipulation of symbolic expressions and are able to apply them to simplify simple expressions and solve simple equations.
Further information
Palautettavat tehtävät