Mathematics in Technology 2 (3 cr)
Code: AT00BT69-3034
General information
Enrollment
20.11.2023 - 05.01.2024
Timing
08.01.2024 - 03.05.2024
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus, Lahti
Teaching languages
- Finnish
Seats
1 - 100
Degree programmes
- Bachelor's Degree Programme in Mechanical Engineering
- Bachelor’s Degree Programme in Environmental Engineering
- Bachelor’s Degree Programme in Wood Technology
Teachers
- Päivi Porras
- Perttu Laivamaa
Scheduling groups
- Verkkoluento ryhmä A (Size: 0. Open UAS: 0.)
- Verkkoluento ryhmä B (Size: 0. Open UAS: 0.)
Groups
-
TLTIENTEC23KM
-
TLTIKONE23KV
-
TLTIPUU23KV
Small groups
- Online lecture group A
- Online lecture group A
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
Online lectures
Learning material and recommended literature
will be informed at the beginning of the course.
Learning environment
Online lectures with material 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
- Applying differentiation
- Integrals of polynomial functions
- Area with integrals
- Volume with integrals
Additional information for students: previous knowledge etc.
Tekniikan matematiikka 1
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 formathematical methods and can solve simple mechanical exercises.
Assessment criteria: level 3 (assessment scale 1–5)
A student understands requirements mathematical methods 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 mathematical methods and is able to analyze engineering problems. At least 83 % of maximum scores.