Laura Kobel-Keller: Catalogue data in Autumn Semester 2022

Name Dr. Laura Kobel-Keller
Address
Dep. Mathematik
ETH Zürich, HG F 28.2
Rämistrasse 101
8092 Zürich
SWITZERLAND
Telephone+41 44 632 89 40
E-maillaura.kobel-keller@math.ethz.ch
URLhttps://people.math.ethz.ch/~kellerla
DepartmentMathematics
RelationshipLecturer

NumberTitleECTSHoursLecturers
401-0281-00LMathematics I Restricted registration - show details
Only for Human Medicine BSc.
4 credits3V + 1UL. Kobel-Keller
AbstractIntroduction of mathematics as the universal language for scientific facts:
The lecture aims on one hand at learning and exercising the mathematical trade and in the other hand at applying the learnt concept to medical, biological, chemical and mechanical problems.
Learning objectiveSimple and complex facts can be described and analysed using mathematical tools.
Introduction to calculus in one dimension.
Used concepts: the notion of a function, of the derivative and the integral, the idea of a differential equation, complex numbers, Taylor polynomials and Taylor series.
Applications e.g. to prognoses, modeling action and dosage of drugs or tumor growth.
ContentFunctions of one variable: the notion of a function, of the derivative, the idea of a differential equation, complex numbers, Taylor polynomials and Taylor series. The integral of a function of one variable.
LiteratureG. B. Thomas, M. D. Weir, J. Hass: Analysis 1, Lehr- und Übungsbuch, Pearson-Verlag
further reading suggestions will be indicated during the lecture
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesassessed
Techniques and Technologiesassessed
Method-specific CompetenciesAnalytical Competenciesassessed
Decision-makingfostered
Media and Digital Technologiesfostered
Problem-solvingassessed
Project Managementfostered
Social CompetenciesCommunicationfostered
Cooperation and Teamworkfostered
Customer Orientationfostered
Leadership and Responsibilityfostered
Self-presentation and Social Influence fostered
Sensitivity to Diversityfostered
Negotiationfostered
Personal CompetenciesAdaptability and Flexibilityfostered
Creative Thinkingassessed
Critical Thinkingassessed
Integrity and Work Ethicsassessed
Self-awareness and Self-reflection assessed
Self-direction and Self-management assessed
401-0373-00LMathematics III: Partial Differential Equations4 credits2V + 1UL. Kobel-Keller
AbstractExamples of partial differential equations. Linear partial differential equations. Separation of variables. Fourier series, Fourier transform, Laplace transform. Applications to solving commonly encountered linear partial differential equations (Laplace's Equation, Heat Equation, Wave Equation).
Learning objectiveClassical tools to solve the most common linear partial differential equations.
Content1) Examples of partial differential equations
- Classification of PDEs
- Superposition principle

2) One-dimensional wave equation
- D'Alembert's formula
- Duhamel's principle

3) Fourier series
- Representation of piecewise continuous functions via Fourier series
- Examples and applications

4) Separation of variables
- Solution of wave and heat equation
- Homogeneous and inhomogeneous boundary conditions
- Dirichlet and Neumann boundary conditions

5) Laplace equation
- Solution of Laplace's equation on the rectangle, disk and annulus
- Poisson formula
- Mean value theorem and maximum principle

6) Fourier transform
- Derivation and definition
- Inverse Fourier transformation and inversion formula
- Interpretation and properties of the Fourier transform
- Solution of the heat equation

7) Laplace transform (if time allows)
- Definition, motivation and properties
- Inverse Laplace transform of rational functions
- Application to ordinary differential equations
Lecture notesSee the course web site (linked under Lernmaterialien)
Literature1) S.J. Farlow, Partial Differential Equations for Scientists and
Engineers, Dover Books on Mathematics, NY.

2) N. Hungerbühler, Einführung in partielle Differentialgleichungen
für Ingenieure, Chemiker und Naturwissenschaftler, vdf
Hochschulverlag, 1997.

Additional books:

3) T. Westermann: Partielle Differentialgleichungen, Mathematik für
Ingenieure mit Maple, Band 2, Springer-Lehrbuch, 1997 (chapters
XIII,XIV,XV,XII)

4) E. Kreyszig, Advanced Engineering Mathematics, John Wiley & Sons
(chapters 1,2,11,12,6)

For additional sources, see the course web site (linked under Lernmaterialien)
Prerequisites / NoticeRequired background:

1) Multivariate functions: partial derivatives, differentiability, Jacobian matrix, Jacobian determinant

2) Multiple integrals: Riemann integrals in two or three variables, change of variables

2) Sequences and series of numbers and of functions

3) Basic knowledge of ordinary differential equations
401-3350-72LElliptic Partial Differential Equations Restricted registration - show details
Number of participants limited to 12.
4 credits2SF. Da Lio, L. Kobel-Keller
Abstract
Learning objective
401-5350-00LAnalysis Seminar Information 0 credits1KF. Da Lio, A. Figalli, N. Hungerbühler, M. Iacobelli, T. Ilmanen, L. Kobel-Keller, T. Rivière, J. Serra, University lecturers
AbstractResearch colloquium
Learning objective