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Basic Course in Mathematics (MATLC0020), 9 op

Basic information

Course name:Basic Course in Mathematics
Basic Course in Mathematics
Course Winha code:MATLC0020
Kurre acronym:Basic Math
Credits:9
Type and level of course:Basic studies
Year of study, semester or study period:1.year
Implementation:Autumn semester, 1.period, 2.period
Semester:0708
Language of tuition:English
Teacher:Timo Salin
Final assessment:Grading scale (0-5)

Descriptions

Prerequisites

Upper secondary school mathmematics (advanced course level) or a corresponding studies

Course contents (core content level)

Algebraic simplification rules, principles for solving linear and quadratic equations, graphs, exponential, logarithmic and trigonometric functions, basic operations on vectors, complex numbers and matrices, linear systems of equations, derivative as a rate of change, derivatives of simple functions.

Course contents (additional)

Numerical methods, analytic geometry in space, turning points and points of inflexion, functions of a complex variable, error estimates, limits, eigenvalues, complicated functions and expressions. The concept of integrals.

Core content level learning outcomes (knowledge and understanding)

After completion of this course the student is able to see the meaning of simple expressions and equations and can manipulate them. The student knows the basic functions and logarithmic units. The student is familiar with vectors, complex numbers and matrices and knows some of their applications. The student understands the concept of the derivative.

Core content level learning outcomes (skills)

After completion of this course the student is able to simplify and use simple formulas and solve simple equations. The student can transform complex numbers into different representations and do basic operations on vectors and matrices and use the inverse matrix to solve systems of linear equations. The student can differentiate simple functions.

Recommended reading

Croft ? Davison ? Hargreaves: Engineering Mathematics

Teaching and learning strategies

Lectures and presentations
laboratory assignments
examinations
homework and self-study

Teaching methods and student workload

Exam
Lectures and assignments
Self-study
Laboratory assignments

Assessment weighting and grading

Examinations (40 % of maximal points) and computer assignments

Related competences of the degree programme

Theoretical basis and mathematical and science skills

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