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Math1 Equations (3 cr)

Code: TZLM1300-3102

General information


Enrollment

01.08.2024 - 22.08.2024

Timing

21.10.2024 - 18.12.2024

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Lutakko Campus

Teaching languages

  • English

Seats

0 - 35

Degree programmes

  • Bachelor's Degree Programme in Information and Communications Technology

Teachers

  • Harri Varpanen

Groups

  • TIC24S1
    Bachelor's Degree Programme in Information and Communications Technology
  • ZJATIC24S1
    Avoin amk,ICT, Information and Communication Technology, Päivä
  • 23.10.2024 14:00 - 15:30, Math1 Equations TZLM1300-3102
  • 28.10.2024 16:00 - 17:30, Math1 Equations TZLM1300-3102
  • 30.10.2024 14:00 - 15:30, Math1 Equations TZLM1300-3102
  • 04.11.2024 16:00 - 17:30, Math1 Equations TZLM1300-3102
  • 06.11.2024 14:00 - 15:30, Math1 Equations TZLM1300-3102
  • 18.11.2024 16:00 - 17:30, Math1 Equations TZLM1300-3102
  • 20.11.2024 14:00 - 15:30, Math1 Equations TZLM1300-3102
  • 25.11.2024 16:00 - 17:30, Math1 Equations TZLM1300-3102
  • 27.11.2024 14:00 - 15:30, Math1 Equations TZLM1300-3102
  • 02.12.2024 16:00 - 17:30, Math1 Equations TZLM1300-3102
  • 04.12.2024 14:00 - 15:30, Math1 Equations TZLM1300-3102
  • 09.12.2024 16:00 - 17:30, Math1 Equations TZLM1300-3102
  • 11.12.2024 14:00 - 15:30, Math1 Equations TZLM1300-3102
  • 16.12.2024 16:00 - 17:30, Math1 Equations TZLM1300-3102
  • 18.12.2024 14:00 - 15:30, Math1 Equations TZLM1300-3102

Objectives

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

EUR-ACE: Knowledge and understanding
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.

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.

Content

In this course, you will learn the mathematical equation solving skills you need to study engineering. You will master the sieving of expressions and be able to solve polynomial and root equations and groups of equations manually, graphically and using computer technology. You will learn how to solve mathematical problems using ready-made models and become familiar with the mathematical content of the degree programme. This course will give you a strong foundation in solving technical problems and applying mathematical skills in practice.

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

Time and location

Weeks 43-50

Learning materials and recommended literature

Free openly licensed textbooks will be used. Links will be shared in the learning environment Moodle.

Teaching methods

Weekly contact teaching and weekly homework exercises, independent studying from theory material, exams.

Exam dates and retake possibilities

Times of the exams will be given in the first lesson of the course.

Student workload

approx. 30h for lessons and exams
approx. 50h independent studying

Further information for students

Open University of Applied Sciences 5

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

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.

Evaluation criteria, good (3-4)

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.

Evaluation criteria, excellent (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.

Prerequisites

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.

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.