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## Analysis I

2019-2020

### Course Objective

At the end of this course the student
a) is able prove a theorem with mathematical induction.
b) knows the definition of limit of a sequence and a function and is
able to calculate limits, using various calculus techniques (e.g.
squeeze law and l'Hospitals rule).
c) knows the definition of continuity and is able to prove or disprove
the continuity of a function.
d) knows the definition of derivative of a single variable function and
is able to calculate (higher) derivatives and a Taylor polynomial of a
function.
e) knows the definition of a Riemann integral and is able to prove if a
function is Riemann integrable.
f) is able to calculate an integral, using various calculus techniques
(e.g. substitution method, integration by parts, partial fraction
decomposition).
g) is able to determine if an improper integral is convergent, and
calculate its value.
h) is able to work with complex numbers.

### Course Content

In this course we present a thorough introduction of the theory of real
analysis for single variable functions. Theorems and their proofs form
an important part of this course. In addition sufficient attention is
paid to various calculus techniques. We will treat the following topics:
a) Natural numbers and mathematical induction.
b) Rational and real numbers and the completeness of the real numbers.
c) Sequences of real numbers (convergence, subsequences, Cauchy
sequences).
d) Continuity and limits of real functions. Uniform continuity.
e) Differentiation (derivative of a function, mean value theorems,
L'Hospital's rule, Taylor's theorem).
f) Integration (Riemann integral, improper integral, integration
techniques)
g) Complex numbers

### Teaching Methods

Lectures (2x2 hours per week) and tutorials (1x2 hours per week).

### Method of Assessment

There will be a midterm exam at the end of period 1 and a final exam at
the end of period 2. Details about the topics treated in each exam and
the calculation of the final grade will be published in Canvas. If your
grade is not sufficient, it is possible to make the resit about all
topics in the spring semester.

### Literature

1) A Friendly Introduction to Analysis; Single and Multivariable, second
edition, Witold A. J. Kosmala, Pearson. ISBN 0130457965/978-0130457967.
2) Lecture notes, available via Canvas.

### Target Audience

1 EOR

We expect that you attend the tutorials well prepared! That means that
you have already tried to make the exercises at home! Some exercises
will be treated on the blackboard. You can ask questions about other
exercises to the teaching assistant. An attendance list will be used.

### General Information

Course Code X_400641 6 EC P1+2 100 English Faculty of Science dr. F. Pasquotto dr. F. Pasquotto dr. M.A. Estevez Fernandez L.G.A.J. van Montfort C.H. Schutte dr. F. Pasquotto

### Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Seminar, Lecture
Target audiences

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