Math1 Support (1 cr)
Code: TZMV1100-3062
General information
Enrollment
01.08.2023 - 24.08.2023
Timing
23.10.2023 - 19.12.2023
Number of ECTS credits allocated
1 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
- Finnish
Degree programmes
- Bachelor's Degree Programme in Logistics
- Bachelor's Degree Programme in Construction and Civil Engineering
- Bachelor's Degree Programme in Energy and Environmental Technology
- Bachelor's Degree Programme in Electrical and Automation Engineering
- Bachelor's Degree Programme in Mechanical Engineering
- Bachelor's Degree Programme in Construction Management
- Bachelor's Degree Programme in Information and Communications Technology
- Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
- Ville Arvio
Groups
-
TAR23S1Bachelor's Degree Programme in Automation and Robotics
- 30.11.2023 15:00 - 16:30, Math1 Support TZMV1100-3062
- 07.12.2023 15:00 - 16:30, Math1 Support TZMV1100-3062
Objectives
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.
Time and location
Course shall be implemented in weeks 43-51.
Learning materials and recommended literature
Files in the learning environment.
Teaching methods
Guided exercises.
Exam dates and retake possibilities
Schedule is given on the first page of the learning environment.
Student workload
Contact lectures 14 h. Independent work 13 h.
Further information for students
Assessment: Exercises
Evaluation scale
Pass/Fail
Evaluation criteria, pass/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.