Search result: Catalogue data in Autumn Semester 2021

Physics Bachelor Information
Bachelor Studies (Programme Regulations 2021)
First Year Compulsory Courses
First Year Examination Block 1
401-1261-07LAnalysis I: One Variable Information O10 credits6V + 3UM. Einsiedler
AbstractIntroduction to the differential and integral calculus in one real variable: fundaments of mathematical thinking, numbers, sequences, basic point set topology, continuity, differentiable functions, ordinary differential equations, Riemann integration.
ObjectiveThe ability to work with the basics of calculus in a mathematically rigorous way.
LiteratureH. Amann, J. Escher: Analysis I

J. Appell: Analysis in Beispielen und Gegenbeispielen

R. Courant: Vorlesungen über Differential- und Integralrechnung

O. Forster: Analysis 1

H. Heuser: Lehrbuch der Analysis

K. Königsberger: Analysis 1

W. Walter: Analysis 1

V. Zorich: Mathematical Analysis I (englisch)

A. Beutelspacher: "Das ist o.B.d.A. trivial"

H. Schichl, R. Steinbauer: Einführung in das mathematische Arbeiten
402-1701-00LPhysics IO7 credits4V + 2UK. Ensslin
AbstractThis course gives a first introduction to Physics with an emphasis on classical mechanics.
ObjectiveAcquire knowledge of the basic principles regarding the physics of classical mechanics. Skills in solving physics problems.
252-0847-00LComputer Science Information O5 credits2V + 2UR. Sasse, F. Friedrich Wicker
AbstractThe course covers the fundamental concepts of computer programming with a focus on systematic algorithmic problem solving. Taught language is C++. No programming experience is required.
ObjectivePrimary educational objective is to learn programming with C++. After having successfully attended the course, students have a good command of the mechanisms to construct a program. They know the fundamental control and data structures and understand how an algorithmic problem is mapped to a computer program. They have an idea of what happens "behind the scenes" when a program is translated and executed. Secondary goals are an algorithmic computational thinking, understanding the possibilities and limits of programming and to impart the way of thinking like a computer scientist.
ContentThe course covers fundamental data types, expressions and statements, (limits of) computer arithmetic, control statements, functions, arrays, structural types and pointers. The part on object orientation deals with classes, inheritance and polymorphism; simple dynamic data types are introduced as examples. In general, the concepts provided in the course are motivated and illustrated with algorithms and applications.
Lecture notesEnglish lecture notes will be provided during the semester. The lecture notes and the lecture slides will be made available for download on the course web page. Exercises are solved and submitted online.
LiteratureBjarne Stroustrup: Einführung in die Programmierung mit C++, Pearson Studium, 2010
Stephen Prata, C++ Primer Plus, Sixth Edition, Addison Wesley, 2012
Andrew Koenig and Barbara E. Moo: Accelerated C++, Addison-Wesley, 2000
First Year Examination Block 2
401-1151-00LLinear Algebra I Information O7 credits4V + 2UR. Pink
AbstractIntroduction to the theory of vector spaces for students of mathematics or physics: Basics, vector spaces, linear transformations, solutions of systems of equations, matrices, determinants, endomorphisms, eigenvalues, eigenvectors.
Objective- Mastering basic concepts of Linear Algebra
- Introduction to mathematical methods
Content- Basics
- Vectorspaces and linear maps
- Systems of linear equations and matrices
- Determinants
- Endomorphisms and eigenvalues
LiteratureWe publish a summary of the content of the lecture course on the homepage:
Besides this we recommend one textbook about Linear Algebra, for instance one of these:
- G. Fischer: Lineare Algebra. Springer-Verlag 2014. Link:
- K. Jänich: Lineare Algebra. Springer-Verlag 2004. Link:
- H.-J. Kowalsky, G. O. Michler: Lineare Algebra. Walter de Gruyter 2003. Link:
- S. H. Friedberg, A. J. Insel and L. E. Spence: Linear Algebra. Pearson 2003. Link
In addition we recommend this general introduction into studying mathematics:
- H. Schichl and R. Steinbauer: Einführung in das mathematische Arbeiten. Springer-Verlag 2012. Link:
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