Course - Data analysis for thermo-fluid systems - EP8000
EP8000 - Data analysis for thermo-fluid systems
About
New from the academic year 2024/2025
Examination arrangement
Examination arrangement: Oral exam
Grade: Passed / Not Passed
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Oral exam | 100/100 | 30 minutes | E |
Course content
Experimental or numerical investigations of thermo-fluid systems typically lead to large amounts of data with high resolution in space and time. Extracting relevant and useful insight from these data often turns out to be as challenging as generating it. The course introduces classical and modern concepts and methods of data analysis that are particularly relevant to thermo-fluid systems, such as elementary signal and image processing, discrete Fourier analysis, coherent structures, vortex identification, principal component analysis, dynamic mode decomposition. Elements of data visualization and presentation.
Learning outcome
The course provides the participants with access to fundamental and advanced techniques of data analysis relevant to thermo-fluid systems. It enables them to choose and apply suitable methods for the analysis of experimental or numerical data in the context of a given research question. The course participants acquire the theoretical background of the covered methods and the skills for implementing them in a suitable numerical framework. They will be capable of applying the methods and understand their theoretical foundation.
Knowledge:
- signal and image processing
- applied Fourier analysis- structure identification
- orthogonal decompositions
Skills:
- selection of appropriate data analysis methods
- implementation of methods into suitable numerical framework
- accurate and clear representation of experimental and numerical data
General competence:
- understanding of the crucial role data analysis plays in the investigation of thermo-fluid systems
- improved proficiency in using a data processing application
- critical assessment of data representation
- preparation and delivery of a technical presentation
Learning methods and activities
The classes are roughly split 50/50 into theory and application sessions. In the theory sessions, the analytical and numerical background for the various methods is introduced and illustrated based on elementary examples. In the application sessions, the course participants implement and apply the learned techniques to experimental and numerical data from our group (for example, pressure signals, velocity fields, flame images). Problem sets are distributed throughout the course that challenge the participants' skills and creativity in extracting relevant information from synthetic and real data sets. The course participants work on a semester project based on data from their own PhD work. The details are to be discussed at the beginning of the course. The project results will be presented in a conference-style talk.
The course is taught in English.
Compulsory assignments
- Semester project
Specific conditions
Admission to a programme of study is required:
Engineering (PHIV)
Recommended previous knowledge
Solid knowledge of fluid dynamics and engineering mathematics, in particular, linear algebra; basic knowledge of a scientific scripting language such as Python or Matlab.
Required previous knowledge
Requires admission to study programme: Engineering (PHIV)
Course materials
Lecture notes, excerpts and code snippets distributed in class. Course material will be made available on Blackboard. All course material is in English.
Credit reductions
| Course code | Reduction | From | To |
|---|---|---|---|
| TEP4545 | 7.5 | AUTUMN 2024 |
No
Version: 1
Credits:
10.0 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2024
Language of instruction: English
Location: Trondheim
- Applied Mechanics, Thermodynamics and Fluid Dynamics
Department with academic responsibility
Department of Energy and Process Engineering
Examination
Examination arrangement: Oral exam
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Oral exam 100/100 E 2024-11-26 09:00
-
Room Building Number of candidates - Spring ORD Oral exam 100/100 E
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"