• Math1 Equations (TZLM1300-3072),
         22.08.2022 – 11.11.2022,  3 cr  (TAR22S1) — Face-to-face +-
    Learning outcomes of the course
    Course purpose

    During this course you will learn mathematical equation solving skills that are necessary during your studies in the field of technology.

    Course competences

    You have the knowledge and understanding of mathematics and other basic sciences underlying your engineering specialisation, at a level necessary to achieve the other programme learning outcomes (EA-KW).

    Learning outcomes

    After completing this course you are able to simplify expressions. You are able to solve polynomial equations, equations involving roots and systems of equations by hand, graphically and with the help of a calculator or a computer. You are able to solve mathematical problems by using given models. You also get to know mathematical content related to your own field of study.
    Prerequisites and co-requisites
    You know the fundamental rules of arithmetic and can perform basic mathematical operations both numerically and symbolically. You know the difference between an expression and an equation. You can solve simple equations of first and second degree. You are familiar with basic calculations involving percentage. You know what a function is.
    Course contents
    Most important contents are:

    - Simplifying expressions (fractional exponents, polynomials, rational expressions, binomial formulas)
    - Drawing and interpreting graphs of functions
    - Linear equations and lines
    - Quadratic equations and parabolas
    - Equations involving roots
    - Systems of equations
    - Percentages and proportions
    - Trigonometry of right triangles
    - Basics of solid geometry
    - Degree-program-related content
    Assessment criteria
    Assessment criteria - grade 1 and 2
    Grade 1

    You are able to simplify expressions. You recognise different types of equations and are able to solve simple polynomial equations, equations involving roots and pairs of equations. You can solve verbal and geometric problems when the mathematical model is given.

    Grade 2

    You understand the notion and notation of polynomial equations. You can solve polynomial equations, equations involving roots and systems of equations by hand, graphically and with the help of information technology. You are able to mathematically model and then solve simple verbal and geometric problems.
    Assessment criteria - grade 3 and 4
    Grade 3

    You master the notion and notation of polynomial equations. You can solve polynomial equations, equations involving roots and systems of equations by hand, graphically and with the help of information technology. You are able to mathematically model and then solve simple verbal and geometric problems.

    Grade 4

    You master the notion and notation of polynomial equations. You can solve challenging polynomial equations, equations involving roots and systems of equations by hand, graphically and with the help of information technology. You are able to mathematically model and then solve such verbal and geometric problems that coincide with previously treated problems.
    Assessment criteria - grade 5
    Grade 5

    You master the notion and notation of polynomial equations. You can solve challenging polynomial equations, equations involving roots and systems of equations by hand, graphically and with the help of information technology. You are able to mathematically model and then creatively solve new verbal and geometric problems.
    Further information
    The course is well suited to be taken before the beginning of studies in technology. The course also offers good mathematical competencies for studies in other fields than technology. The course is offered also in the open university of applied sciences.
    Language of instruction

    English

    Location and time

    The course is implemented 29.8.2022 - 28.10.2022.

    Planned learning activities, teaching methods and guidance

    Online and face-to-face learning, guided exercises and independent work.

    Learning materials and recommended literature

    Learning material will be announced at the first meeting of the course.

    Appropriate textbooks in Finnish:
    - Alestalo, S., Lehtola, P., Nieminen, T. & Rantakaulio, A. 2011. Tekninen matematiikka 1. 1. uusittu painos. Tampere: Tammertekniikka.
    - Henttonen, J., Peltomäki, J. & Uusitalo, S. 2003. Tekniikan matematiikka: 1. Helsinki: Edita.

    Lecturer(s)

    Kalle Niemi

    Campus

    Main Campus

    Exam dates and re-exam possibilities

    Will be announced at the first meeting of the course.

    Timing

    22.08.2022 - 11.11.2022

    Learning assignments and student workload

    3cr = 3 * 27 h = 81h

    Content scheduling

    Course schedule will presented at the first meeting.

    Groups
    • TAR22S1
    Alternative learning methods

    Face-to-face, hybrid and online implementations are available in autumn and in spring. It is also possible to attend the course online during summer 2023.

    Degree Programme

    Bachelor's Degree Programme in Logistics, Bachelor's Degree Programme in Construction and Civil Engineering, Bachelor's Degree Programme in Energy and Environmental Technology, Bachelor's Degree Programme in Electrical and Automation Engineering, Bachelor's Degree Programme in Mechanical Engineering, Bachelor's Degree Programme in Information and Communications Technology, Bachelor's Degree Programme in Purchasing and Logistics Engineering

    Mode of delivery

    Face-to-face

    Credits
    • 3 cr
    Unit

    School of Technology