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Mathematics in Technology 1 (3 cr)

Code: AT00CH48-3006

General information


Enrollment

21.11.2022 - 25.01.2023

Timing

09.01.2023 - 31.05.2023

Number of ECTS credits allocated

3 op

Virtual portion

3 op

Mode of delivery

Distance learning

Unit

Faculty of Technology (LAB)

Campus

E-campus

Teaching languages

  • English

Seats

1 - 100

Degree programmes

  • Bachelor’s Degree Programme in Sustainable Solutions Engineering

Teachers

  • Päivi Porras

Scheduling groups

  • SSE (Size: 0. Open UAS: 0.)

Groups

  • TLTISSE22SV

Small groups

  • SSE

Learning outcomes

Student is able to:
- recognise different polynomial equations, functions, and polynomial graphics
- solve inequalities
- solve simultaneous equations with the software
- solve basic space vectors
- utilise space vectors
- solve exponential and logarithm functions

Implementation and methods of teaching

This course has online lectures based on timetable of Sustainability students in LAB University of Applied Sciences. Lectures are scheduled for Tuesdays at 12am - 2pm.

Material in moodle can also be studied without attending the lectures.

Learning material and recommended literature

will be announced at the beginning of the course

Contents

System of equations and matrices
Polynomial functions and inequalities
Geometry 3d
Vectors 3d (incl. directional cosines, dot product, and projection)
Exponential and logarithmic functions and equalities

Additional information for students: previous knowledge etc.

Basics of Mathematics in Technology or corresponding knowledge

Assessment criteria

Grading is informed in moodle.

Assessment scale

1-5

Assessment criteria: level 1 (assessment scale 1–5)

The student is familiar with mathematical methods and is able to perform simple mechanical calculation tasks.

Assessment criteria: level 3 (assessment scale 1–5)

The student understands the requirements of mathematical methods and is able to apply basic mathematics to some extent in engineering tasks.

Assessment criteria: level 5 (assessment scale 1–5)

The student masters mathematical methods and is able to analyse mathematical tasks at the engineering level without problems.