Differential calculus (5 cr)
Code: 5031283-3020
General information
- Enrollment
-
02.12.2023 - 31.12.2023
Registration for the implementation has ended.
- Timing
-
01.01.2024 - 31.07.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Engineering and Business
- Campus
- Kupittaa Campus
- Teaching languages
- Finnish
- Degree programmes
- Degree Programme in Construction and Municipal Engineering
- Teachers
- Pekka Saarinen
- Course
- 5031283
Realization has 2 reservations. Total duration of reservations is 4 h 0 min.
Time | Topic | Location |
---|---|---|
Thu 25.04.2024 time 15:00 - 17:00 (2 h 0 min) |
Differentiaalilaskenta 5031283-3020 |
EDU_2030
Evert muunto byod
|
Thu 30.05.2024 time 13:00 - 15:00 (2 h 0 min) |
Differentiaalilaskennan ensimmäinen uusintatentti |
EDU_2030
Evert muunto byod
|
Evaluation scale
H-5
Objective
After completing the course the student:
- operate with mathematical expressions related to technology
- to formulate mathematical model
- understand the concept of a function and recognizes the characteristic properties of different functions
- solve equations involving functions and apply them in practical problems
- use derivatives to analyse graphs
- use differentials to approximate changes and errors
- use matrices and determinants (e.g. for solving linear simultaneous equations),
- use dot and cross products in applications
- give the answer in an expected form
Content
Topics covered in course are (in the order shown):
* functions and graphs
* Pythagoras’ theorem and trigonometric functions
* line and slope
* exponential and logarithmic functions
* function composition
* continuity and limit of a function
* definition of the derivative
* derivatives of basic functions
* derivative rules
* derivative of the composition of functions (chain rule)
* product rule and quotient rule
* tangent and differential
* critical points and extreme values
* finding extreme values by examination of critical points
* functions of several variables
* partial derivatives
* differentials and error estimates
* total differential