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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
- solve challenging functions
- solve basic derivation functions and utilise derivation in practice
- solve integrated polynomial functions and utilise integration in practice
- solve 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._peppi

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.