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Mathematics in Technology 2 (3 cr)

Code: AT00CH49-3004

General information


Enrollment

15.05.2023 - 01.09.2023

Timing

04.09.2023 - 31.12.2023

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 lectures (Size: 0. Open UAS: 0.)

Groups

  • TLTISSE22SV
  • TLTIEX23S1

Small groups

  • Online lectures

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 is an online course of Mathematics in Technology 2.

The course can be studied at own pace but lectures are once a week on Mondays at 10.15am - 11.45am.

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.