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Mathematics in Technology 2 (3 cr)

Code: AT00BT69-3032

General information


Enrollment

21.11.2022 - 08.01.2023

Timing

09.01.2023 - 31.05.2023

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

  • Finnish

Seats

5 - 100

Degree programmes

  • Bachelor's Degree Programme in Mechanical Engineering
  • Bachelor's Degree Programme in Civil and Construction Engineering, Construction Engineering (2021, 2022, 2023)
  • Bachelor's Degree Programme in Civil and Construction Engineering, Urban Planning (2022, 2023)
  • Bachelor’s Degree Programme in Wood Technology
  • Bachelor's Degree Programme in Civil and Construction Engineering, Infrastructure Engineering (2022, 2023)

Teachers

  • Päivi Porras

Scheduling groups

  • Verkkoluento (Size: 0. Open UAS: 0.)

Groups

  • TLPRINFRA22S
  • TLTIPUU20S
  • TLTIYKS22S
  • TLPRTRT22S
  • TLPRKONE22S
  • TLTIKONE22S

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

Contact 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.