Course - Advanced Tools for Performance Engineering - TPK4186
TPK4186 - Advanced Tools for Performance Engineering
About
Examination arrangement
Course content
This course aims at providing students experience about processing of engineering data and assessment of the performance of complex technical and socio-technical systems. The course relies on computational experiments performed with the scripting language Python and the associated data processing packages (e.g.numpy, panda, and matplotlib).
The course is organized around 4 themes:
Theme 1: Processing of engineering data.
Theme 2: Definition and evaluation of performance indicators.
Theme 3: Automated exploration of design solution spaces.
Theme 4: Use of machine learning techniques for performance optimization.
Learning outcome
Knowledge:
The students should have advanced knowledge on processing of engineering data and assessment of performance indicators of complex technical and socio-technical systems. The students should be able to change formats of data, analyze data, chain engineering tools, and perform specific calculations and simulations.
Skills:
The students shall be able to write large scripts to handle data in various format, to chain automatically the execution of tools, and to perform calculations of performance indicators. They shall be able to structure these scripts in a way they can be maintained and reused.
General competence:
The students shall master a scripting language and use it as a productivity tool in their engineering work. They shall master also the definition and the assessment of performance indicators. They shall be able to report results of experiments in concise and yet complete and informative way.
Learning methods and activities
The course is mainly based on computational experiments. Students are provided with program code that will be modified and extended. The programs will be used for experiements and simulations, and reports with the results shall be sumbitted.
Further on evaluation
Students will be evaluated on the reports they submit. Submission of four reports is mandatory. The grade obtained for each report counts for 25% of the final grade.
By a re-take of an examination all assessments during the course that counts in the final grade have to be re-taken.
Specific conditions
Admission to a programme of study is required:
Mechanical Engineering (MIPROD)
Mechanical Engineering (MTPROD)
Reliability, Availability, Maintainability and Safety (RAMS) (MSRAMS)
Recommended previous knowledge
TPK4100 Operations Management, TPK4115 Project Planning and Control
TDT4105/TDT4110 Information Technology Introduction. Basic skills in Matlab or Python.
Course materials
Antoine Rauzy. Performance Engineering in Python. AltaRica Association. 2020. ISBN 978-82-692273-1-4. pdf available on author's webpages.
Guttag, John. Introduction to Computation and Programming Using Python: With Application to Understanding Data. 2nd ed. MIT Press, 2016. ISBN: 9780262529624. Wes McKinney.
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython. O'Reilly Media; 2 edition, 2017, ISBN-13: 978-1491957660 Computer programs presented during the lectures and tutorials.
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: SPRING 2024
Language of instruction: English
Location: Trondheim
- Production and Quality Engineering - Production Management
- Operations Management and Industrial Safety
- Engineering
- Production and Quality Engineering
- Production and Quality Engineering - Information Technology
- Technological subjects
Department with academic responsibility
Department of Mechanical and Industrial Engineering
Examination
Examination arrangement: Work
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
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Spring
ORD
Work
25/100
ALLE
Submission
2024-02-16
23:59 -
Room Building Number of candidates -
Spring
ORD
Work
25/100
ALLE
Submission
2024-03-15
23:59 -
Room Building Number of candidates -
Spring
ORD
Work
25/100
ALLE
Submission
2024-04-19
23:59 -
Room Building Number of candidates -
Spring
ORD
Work
25/100
ALLE
Submission
2024-05-17
23:59 -
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"