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.