Course: Mathematics for Electrical Engineers 1

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Course title Mathematics for Electrical Engineers 1
Course code KMA/ME1
Organizational form of instruction Lecture + Tutorial
Level of course Bachelor
Year of study not specified
Semester Winter and summer
Number of ECTS credits 6
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Brada Pavel, Ing. Ph.D.
Course content
Week 1: Mathematical reasoning - open statements and quantifiers, negating quantified statements; sets and elementary operations; subsets of real numbers; absolute value; maximum, minimum, least upper bound, and greatest lower bound of a subset of real numbers; Week 2: Sequences of real numbers; subsequences; bounded and monotone sequences; recursively defined sequences; Bolzano-Weierstrass theorem; convergent and divergent sequences; Cauchy sequences; Week 3: Algebra of limits and fundamental theorems concerning the properties of a limit; Week 4: Conditions ensuring the convergence of infinite sequences and series; Week 5: Functions of one real variable; graphical representation; inverse functions; composition of functions; polynomial, trigonometric, exponential, and hyperbolic functions; Week 6: Local and global behaviour of a function; limits; one-sided limits; algebra of limits; Week 7: Continuity of a function at a point; points of discontinuity; continuity in a closed interval; Week 8: Derivative and differential of a function - definition and both the geometrical and the physical meaning; differentiability and continuity of a function; Week 9: Differentiation from first principles, product rule and chain rule, Rolle's theorem, Langrange's and Cauchy's mean value theorems; stationary points of a function; l'Hospital's rule; Week 10: Indefinite integral; fundamental theorem of calculus; integration by parts and integration by substitution; Week 11: Definite integral and its applications; improper integrals; inequalities for integrals; Week 12: Higher order derivatives and differentials; Taylor's theorem; Week 13: Applications of differential and integral calculus in solving optimization and physical problems. Further information and the lecture notes can be found on the web page http://analyza.kma.zcu.cz.

Learning activities and teaching methods
Lecture supplemented with a discussion
  • Contact hours - 78 hours per semester
  • Preparation for comprehensive test (10-40) - 24 hours per semester
  • Preparation for an examination (30-60) - 56 hours per semester
prerequisite
Knowledge
There is no prerequisite for this course. Students should be familiar with a high school algebra and trigonometry.
learning outcomes
By the end of the course, a successful student should be able to: 1. Understand logical constructions and to be able to read mathematical text; 2. Use rigorous arguments in calculus and ability to apply them in solving problems on the topics in the syllabus; 3. Demonstrate knowledge of the definitions and the elementary properties of sequences, series and continuous and differentiable functions of one real variable; 4. Use both the definition of derivative as a limit and the rules of differentiation to differentiate functions; 5. Sketch the graph of a function using asymptotes, critical points, and the derivative test for increasing/decreasing and concavity properties; 6. Set up max/min problems and use differentiation to solve them; 7. Use l'Hospital's rule; 8. Evaluate integrals using techniques of integration, such as substitution, inverse substitution, partial fractions and integration by parts; 9. Apply integration to compute areas and volumes by slicing; 10. Find the Taylor series expansion of a function near a point, with emphasis on the several starting terms; 11. Use developed theory in solving problems on physical systems.
teaching methods
Lecture supplemented with a discussion
assessment methods
Combined exam
Recommended literature
  • Děmidovič, Boris Pavlovič. Sbírka úloh a cvičení z matematické analýzy. Havlíčkův Brod : Fragment, 2003. ISBN 80-7200-587-1.
  • Drábek, Pavel; Míka, Stanislav. Matematická analýza I. Plzeň : Západočeská univerzita, 1999. ISBN 80-7082-558-8.
  • Míková, Marta; Kubr, Milan; Čížek, Jiří. Sbírka příkladů z matematické analýzy I. Plzeň : Západočeská univerzita, 1999. ISBN 80-7082-568-5.
  • Polák, J. Přehled středoškolské matematiky.. Praha : Prometheus, 2008. ISBN 978-80-7196-356-1.
  • Pultr, Aleš. Matematická analýza I. Praha : Matfyzpress, 1995. ISBN 80-8586-3-09-X.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester