Mathematics in Technology 2 (3 cr)
Code: AT00CH49-3001
General information
Enrollment
15.08.2022 - 04.09.2022
Timing
05.09.2022 - 16.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus, Lahti
Teaching languages
- English
Degree programmes
- Bachelor’s Degree Programme in Sustainable Solutions Engineering
Teachers
- Päivi Porras
Scheduling groups
- Online (Size: 0. Open UAS: 0.)
Groups
-
TLTISSE21SV
Small groups
- Online
Learning outcomes
Student is able to:
- derivate functions and utilise derivation in practice
- integrate polynomial functions and utilise integration in practice
- solve other equations and trigonometrical problems
Implementation and methods of teaching
This is an online course of Mathematics in Technology 2.
The course can be studied at own pace but lectures are once a week on Wednesday at 2pm - 4pm.
Learning material and recommended literature
All material is available in moodle.
Contents
- Composite and inverse functions
- Trigonometric functions and equations
- Derivatives of polynomial and rational functions
- Derivatives of exponential and logarithmic functions
- Derivatives of trigonometric and arc functions
- Extremes
- Integrals of polynomial functions
- Area with integrals
- Volume with integrals
Additional information for students: previous knowledge etc.
Mathematics in Technology 1 or corresponding knowledge.
Assessment criteria
Exercises and tests
Assessment scale
1-5
Failed (0)
A student cannot solve mechanical exercises well enough. Less than 33% of maximum scores.
Assessment criteria: level 1 (assessment scale 1–5)
A student knows methods for geometry in plain and for vectors in plain and can solve simple mechanical exercises.
Assessment criteria: level 3 (assessment scale 1–5)
A student understands requirements of geometry and vectors in plain and is able to apply them in some extent in engineering problems. At least 57% of maximum scores.
Assessment criteria: level 5 (assessment scale 1–5)
A student masters geometry and vectors in plain and is able to analyze engineering problems. At least 83 % of maximum scores.