401-0353-00L  Analysis 3

SemesterAutumn Semester 2020
LecturersM. Iacobelli
Periodicityyearly recurring course
Language of instructionEnglish



Courses

NumberTitleHoursLecturers
401-0353-00 VAnalysis 3
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Mon08:00-10:00ON LI NE »
M. Iacobelli
401-0353-00 UAnalysis 3
Groups are selected in myStudies.
Exercises start in the first week of the semester.
Es wird auch mindestens eine Übungsgruppe auf Deutsch angeboten.
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Fri10:00-12:00ON LI NE »
10:00-12:00ON LI NE »
10:00-12:00ON LI NE »
10:00-12:00ON LI NE »
10:00-12:00ON LI NE »
10:00-12:00ON LI NE »
10:00-12:00ON LI NE »
10:00-12:00ON LI NE »
10:00-12:00ON LI NE »
M. Iacobelli

Catalogue data

AbstractIn this lecture we treat problems in applied analysis. The focus lies on the solution of quasilinear first order PDEs with the method of characteristics, and on the study of three fundamental types of partial differential equations of second order: the Laplace equation, the heat equation, and the wave equation.
ObjectiveThe aim of this class is to provide students with a general overview of first and second order PDEs, and teach them how to solve some of these equations using characteristics and/or separation of variables.
Content1.) General introduction to PDEs and their classification (linear, quasilinear, semilinear, nonlinear / elliptic, parabolic, hyperbolic)

2.) Quasilinear first order PDEs
- Solution with the method of characteristics
- COnservation laws

3.) Hyperbolic PDEs
- wave equation
- d'Alembert formula in (1+1)-dimensions
- method of separation of variables

4.) Parabolic PDEs
- heat equation
- maximum principle
- method of separation of variables

5.) Elliptic PDEs
- Laplace equation
- maximum principle
- method of separation of variables
- variational method
LiteratureY. Pinchover, J. Rubinstein, "An Introduction to Partial Differential Equations", Cambridge University Press (12. Mai 2005)
Prerequisites / NoticePrerequisites: Analysis I and II, Fourier series (Complex Analysis)

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
In examination block forBachelor's Degree Programme in Computational Science and Engineering 2016; Version 27.03.2018 (Examination Block G1)
Bachelor's Degree Programme in Computational Science and Engineering 2018; Version 13.12.2022 (Examination Block G1)
Bachelor's Degree Programme in Electrical Engineering and Information Technology 2016; Version 31.10.2017 (Examination Block 1)
Bachelor's Degree Programme in Electrical Engineering and Information Technology 2017; Version 07.04.2022 (Examination Block 1)
Bachelor's Degree Programme in Interdisciplinary Sciences 2010; Version 27.03.2018 (Examination Block)
Bachelor's Programme in Computational Science and Engineering 2012; Version 13.12.2016 (Examination Block G1)
Bachelor's Programme in Electrical Engineering and Information Technology 2012; Version 24.02.2016 (Examination Block 1)
ECTS credits4 credits
ExaminersM. Iacobelli
Typesession examination
Language of examinationGerman
RepetitionThe performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examinationwritten 180 minutes
Additional information on mode of examinationDie Prüfung wird auf Deutsch und Englisch angeboten.
The exam will be offered in German and in English.
Written aids-Standard Dictionary
-Textbook (Pinchover) either original book, or printed (total or partial) version
-Summary of the lectures. At most 4 Pages long (DIN A4 - either 2 sheets two-sided, or 4 sheets one-sided) must be personal & handwritten. Photocopies of summaries, or computer typed summaries are NOT accepted.

NOT allowed during exam:
-Exercises and solutions from this course (not allowed even as part of the summary).
Random checks will be made on the day of the exam.
If the course unit is part of an examination block, the credits are allocated for the successful completion of the whole block.
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

 
Main linkLink to website of the course
Only public learning materials are listed.

Groups

401-0353-00 UAnalysis 3
GroupsG-ON 01
Fri10:00-12:00ON LI NE »
not for  Computational Science and Engineering BSc (406000)
G-01
Fri10:00-12:00ON LI NE »
not for  Computational Science and Engineering BSc (406000)
G-02
Fri10:00-12:00ON LI NE »
not for  Computational Science and Engineering BSc (406000)
G-03
Fri10:00-12:00ON LI NE »
not for  Computational Science and Engineering BSc (406000)
G-04
Fri10:00-12:00ON LI NE »
not for  Computational Science and Engineering BSc (406000)
G-05
Fri10:00-12:00ON LI NE »
not for  Computational Science and Engineering BSc (406000)
G-06
Fri10:00-12:00ON LI NE »
not for  Computational Science and Engineering BSc (406000)
G-07
Fri10:00-12:00ON LI NE »
not for  Computational Science and Engineering BSc (406000)
G-08
Fri10:00-12:00ON LI NE »
not for  Computational Science and Engineering BSc (406000)
RW3-ON 01
Fri10:00-12:00ON LI NE »
only for  Computational Science and Engineering BSc (406000)
RW3-01
Fri10:00-12:00ON LI NE »
only for  Computational Science and Engineering BSc (406000)
RW3-02
Fri10:00-12:00ON LI NE »
only for  Computational Science and Engineering BSc (406000)

Restrictions

GroupsRestrictions are listed under Groups

Offered in

ProgrammeSectionType
Electrical Engineering and Information Technology BachelorExamination Block 1OInformation
Computer Science Bachelor5. SemesterWInformation
Computational Science and Engineering BachelorBlock G1OInformation