Mathematics in Technology 2 (3 cr)
Code: AT00CH49-3007
General information
Enrollment
06.05.2024 - 30.08.2024
Timing
09.09.2024 - 20.12.2024
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
- Online lecture (Size: 0. Open UAS: 0.)
Groups
-
TLTISSE23SVBachelor’s Degree Programme in Sustainable Solutions Engineering 23SV Lahti
Small groups
- Online lecture
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 course has contact lectures but material enables studying also at own pace. However, questions are answered during the contact lectures, not by email.
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.