|CALCULUS IN ONE VARIABLE||FMAA05|
The course aims at giving a basic treatment of one-dimensional calculus. Particular emphasis is on the role this plays in applications in different areas of technology, in order to give the future engineer a good foundation for further studies in mathematics as well as in other subjects. The aim as also to develop the student's ability in problem solving and in assimilating mathematical text and communicating mathematics.
Knowledge and understanding
For a passing grade the student must
be able to set up and solve some types of linear and separable differential equations that are important in the applications.
be familiar with the logical structure of mathematics, in the way it appears e.g. in plane geometry.
be able to give a general account of and illustrate the meaning of mathematical concepts in calculus in one variable that are used to construct and study mathematical models in the applications.
be able to account for the contents of definitions, theorems and proofs.
Skills and abilities
For a passing grade the student must
in the context of problem solving be able to show capability independently to choose and use mathematical concepts and methods in one-dimensional analysis, and to construct and analyse simple mathematical models.
in the context of problem solving be able to integrate knowledge from different parts of the course.
be able to show capability to explain mathematical reasoning in a structured and logically clear way.
Part 1. The number concept. Calculation with fractions. Inequalities. Square roots. Curves and equations of second degree. Analytic geometry. The circle, ellipse, hyperbola. Geometry in space. Arithmetic and geometric sums. The binomial theorem. Modulus of a number. Trigonometry. Powers and logarithms. The concept of a function. Properties of elementary functions: curves, formulas. Sequences of numbers. Limits with applications: asymptotes, the number e, series. Continuous functions. Derivatives: definition and properties, applications. Derivatives of the elementary functions. Properties of differentiable functions: the mean value theorem with applications. Curve sketching. Local extrema. Some simple mathematical models. Optimisation. Problem solving within the above areas.
Part 2. Complex numbers and polynomials. The concept of primitive function. Simple integration methods: partial integration and change of variable. Partial fractions. Definition of an integral. Riemann sums. Geometrical and other applications of integrals. Improper integrals. Differential equations of first order: linear and with separable variables. Linear differential equations. Solving homogeneous and certain inhomogeneous equations. Applications. The Taylor and Maclaurin formulae. Expansion of elementary functions. The importance of the remainder term. Applications of Maclaurin expansions. Problem solving within the above areas.
Persson, A. & Böiers, L-C.: Analys i en variabel, chapters 0-9, appendices A-B. Studentlitteratur 2003. ISBN 91-44-02056-2.
Diehl, S: Inledande matematik för högskolestudier. Lund 2008.
Name: Part B1.
Higher education credits: 8. Grading scale: UG. Assessment: Written test comprising theory and problem solving. Two computational ability tests must be passed before the examination. One assignment (oral and in writing) must be passed before the examination. Contents: See above, part 1.
Higher education credits: 7. Grading scale: UG. Assessment: Written test comprising theory and problem solving. One assignment (oral and in writing) must be passed before the examination. Contents: The whole course, but with emphasis on part 2 above.