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Mathematics in Technology 1 (3 cr)

Code: AT00CH48-3012

General information


Enrollment

20.11.2024 - 03.01.2025

Timing

07.01.2025 - 30.04.2025

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

Faculty of Technology (LAB)

Campus

Lahti Campus

Teaching languages

  • English

Degree programmes

  • Bachelor's Degree Programme in Industrial Information Technology

Teachers

  • Juha Hyytiäinen

Scheduling groups

  • Luennot 1 (Size: 500. Open UAS: 0.)

Groups

  • TLTIIIT24S
    Bachelor's Degree Programme in Industrial Information Technology 24S Lahti

Small groups

  • Lecture 1

Learning outcomes

Student is able to:
- recognise different polynomial equations, functions, and polynomial graphics
- solve inequalities
- solve simultaneous equations with the software
- solve basic space vectors
- utilise space vectors
- solve exponential and logarithm functions

Implementation and methods of teaching

Contact lectures with Moodle assignments

Timing and attendance

Spring -25

Learning material and recommended literature

WWW, e.g. Math is Fun. Book: Fred Safier's Schaum's Outline of Precalculus second edition or newer.

Contents

The course has two sides: understanding mathematical methods and applying them in engineering tasks. We look into the topics through engineering lenses utilizing different tools like Wolfram Alpha.
Course content includes:
System of equations and matrices
Polynomial functions and inequalities
Geometry 3d
Vectors 3d (incl. directional cosines, dot product, and projection)
Exponential and logarithmic functions and equalities

Additional information for students: previous knowledge etc.

Basics of Mathematics in Technology or corresponding knowledge

Assessment criteria

Exercises and weekly assignments

Assessment scale

1-5

Assessment criteria: level 1 (assessment scale 1–5)

The student is familiar with mathematical methods and is able to perform simple mechanical calculation tasks.

Assessment criteria: level 3 (assessment scale 1–5)

The student understands the requirements of mathematical methods and is able to apply basic mathematics to some extent in engineering tasks.

Assessment criteria: level 5 (assessment scale 1–5)

The student masters mathematical methods and is able to analyse mathematical tasks at the engineering level without problems.