Dynamischer Default-Fachbereich geändert auf INF

Module INF-14-56-M-6

Optimization in Fluid Mechanics (M, 4.5 LP)

Module Identification

Module Number	Module Name	CP (Effort)
INF-14-56-M-6	Optimization in Fluid Mechanics	4.5 CP (135 h)

Basedata

CP, Effort	4.5 CP = 135 h
Position of the semester	1 Sem. irreg. SuSe
Level	[6] Master (General)
Language	[EN] English
Module Manager	Gauger, Nicolas, Prof. Dr. (PROF \| DEPT: INF)
Lecturers	Gauger, Nicolas, Prof. Dr. (PROF \| DEPT: INF)
Area of study	[INF-VIS] Visualisation and Scientific Computing
Reference course of study	[INF-88.79-SG] M.Sc. Computer Science
Livecycle-State	[NORM] Active

Courses

Type/SWS	Course Number	Title	Choice in Module-Part	Presence-Time / Self-Study		SL	SL is required for exa.	PL	CP	Sem.
2V+1U	INF-14-56-K-6	Optimization in Fluid Mechanics	P	42 h	93 h	U-Schein	ja	PL1	4.5	irreg. SuSe

About [INF-14-56-K-6]: Title: "Optimization in Fluid Mechanics"; Presence-Time: 42 h; Self-Study: 93 h
About [INF-14-56-K-6]: The study achievement [U-Schein] proof of successful participation in the exercise classes (ungraded) must be obtained. It is a prerequisite for the examination for PL1.

Examination achievement PL1

Form of examination: oral examination (20-60 Min.)
Examination Frequency: Examination only within the course
Examination number: 61456 ("Optimization in Fluid Mechanics")

Evaluation of grades

The grade of the module examination is also the module grade.

From [INF-14-56-K-6] Optimization in Fluid Mechanics:

State equations in fluid mechanics
Reynolds-averaging and turbulence modeling
Finite Volume Method
Cost functions and constraints in fluid mechanics
Shape optimization
Optimal active flow control
Continuous and discrete adjoint methods
One-shot methods

Competencies / intended learning achievements

While questioning specific design and control problems in fluid mechanics, the students derive efficient methods (e.g. adjoint-based and one-shot methods) and learn how to set-up appropriate design chains to solve them.

In tutorials based on the open-source CFD code SU2, the students will get hands on the derived methods for optimization and control in fluid mechanics. The lecture is furthermore valuable for getting introduced to more general lectures on optimization with PDEs. For those students who have heard already lectures on optimization with PDEs, the lecture gives a specific problem and application oriented insight into this class of optimization problems.

Literature

From [INF-14-56-K-6] Optimization in Fluid Mechanics:

Will be announced in the lecture.

Requirements for attendance (informal)

None

Requirements for attendance (formal)