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Math1 Support (1 cr)

Code: TZMV1100-3044

General information


Enrollment

01.08.2022 - 25.08.2022

Timing

22.08.2022 - 11.11.2022

Number of ECTS credits allocated

1 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Teaching languages

  • English

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 Information and Communications Technology
  • Bachelor's Degree Programme in Purchasing and Logistics Engineering

Teachers

  • Kalle Niemi

Groups

  • TAR22S1
    Bachelor's Degree Programme in Automation and Robotics

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 29.8. - 14.10.2022.

Learning materials and recommended literature

Text 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

Lectures face-to-face 14 h. Independent work 13 h.

Further information for students

Palautettavat tehtävät

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.