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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
Changes to reservations may be possible.

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

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