# Search result: Catalogue data in Autumn Semester 2021

Physics Bachelor | ||||||

Bachelor Studies (Programme Regulations 2021) | ||||||

First Year Compulsory Courses | ||||||

First Year Examination Block 1 | ||||||

Number | Title | Type | ECTS | Hours | Lecturers | |
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401-1261-07L | Analysis I: One Variable | O | 10 credits | 6V + 3U | M. Einsiedler | |

Abstract | Introduction 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. | |||||

Learning objective | The ability to work with the basics of calculus in a mathematically rigorous way. | |||||

Literature | H. Amann, J. Escher: Analysis I https://link.springer.com/book/10.1007/978-3-7643-7756-4 J. Appell: Analysis in Beispielen und Gegenbeispielen https://link.springer.com/book/10.1007/978-3-540-88903-8 R. Courant: Vorlesungen über Differential- und Integralrechnung https://link.springer.com/book/10.1007/978-3-642-61988-5 O. Forster: Analysis 1 https://link.springer.com/book/10.1007/978-3-658-00317-3 H. Heuser: Lehrbuch der Analysis https://link.springer.com/book/10.1007/978-3-322-96828-9 K. Königsberger: Analysis 1 https://link.springer.com/book/10.1007/978-3-642-18490-1 W. Walter: Analysis 1 https://link.springer.com/book/10.1007/3-540-35078-0 V. Zorich: Mathematical Analysis I (englisch) https://link.springer.com/book/10.1007/978-3-662-48792-1 A. Beutelspacher: "Das ist o.B.d.A. trivial" https://link.springer.com/book/10.1007/978-3-8348-9599-8 H. Schichl, R. Steinbauer: Einführung in das mathematische Arbeiten https://link.springer.com/book/10.1007/978-3-642-28646-9 | |||||

402-1701-00L | Physics I | O | 7 credits | 4V + 2U | K. Ensslin | |

Abstract | This course gives a first introduction to Physics with an emphasis on classical mechanics. | |||||

Learning objective | Acquire knowledge of the basic principles regarding the physics of classical mechanics. Skills in solving physics problems. | |||||

252-0847-00L | Computer Science | O | 5 credits | 2V + 2U | R. Sasse, F. Friedrich Wicker | |

Abstract | The 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. | |||||

Learning objective | Primary 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. | |||||

Content | The 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 notes | English 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. | |||||

Literature | Bjarne 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 | ||||||

Number | Title | Type | ECTS | Hours | Lecturers | |

401-1151-00L | Linear Algebra I | O | 7 credits | 4V + 2U | R. Pink | |

Abstract | Introduction 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. | |||||

Learning 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 | |||||

Literature | We publish a summary of the content of the lecture course on the homepage: http://metaphor.ethz.ch/x/2021/hs/401-1151-00L/ Besides this we recommend one textbook about Linear Algebra, for instance one of these: - G. Fischer: Lineare Algebra. Springer-Verlag 2014. Link: http://link.springer.com/book/10.1007/978-3-658-03945-5 - K. Jänich: Lineare Algebra. Springer-Verlag 2004. Link: http://link.springer.com/book/10.1007/978-3-662-08375-8 - H.-J. Kowalsky, G. O. Michler: Lineare Algebra. Walter de Gruyter 2003. Link: https://www.degruyter.com/search?query=kowalsky+michler - 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: http://link.springer.com/book/10.1007%2F978-3-642-28646-9 |

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