Petros Koumoutsakos: Catalogue data in Spring Semester 2014

Name Dr. Petros Koumoutsakos
E-mailpetros@ethz.ch
URLhttp://www.cse-lab.ethz.ch/index.php?&option=com_content&view=article&id=100&catid=38
DepartmentMechanical and Process Engineering
RelationshipFull Professor

NumberTitleECTSHoursLecturers
151-0104-00LUncertainty Quantification for Engineering & Life Sciences Restricted registration - show details 4 credits3GP. Koumoutsakos, K. Papadimitriou
AbstractQuantification of uncertainties in computational models pertaining to applications in engineering and life sciences. Exploitation of massively available data to develop computational models with quantifiable predictive capabilities. Applications of Uncertainty Quantification and Propagation to problems in mechanics, control, systems and cell biology.
ObjectiveThe course will teach fundamental concept of Uncertainty Quantification and Propagation (UQ+P) for computational models of systems in Engineering and Life Sciences. Emphasis will be placed on practical and computational aspects of UQ+P including the implementation of relevant algorithms in multicore architectures.
ContentTopics that will be covered include: Reliability analysis, parametric and non-parametric estimation, Bayesian inference, Markov Chain Monte Carlo
Lecture notesThe class will be largely based on the book: Data Analysis: A Bayesian Tutorial by Devinderjit Sivia as well as on class notes and related literature that will be distributed in class.
Literature1. Data Analysis: A Bayesian Tutorial by Devinderjit Sivia
2. Probability Theory: The Logic of Science by E. T. Jaynes
3. Class Notes
Prerequisites / NoticeFundamentals of Probability, Fundamentals of Computational Modeling
151-0431-00LComputational Engineering4 credits2V + 1UP. Koumoutsakos, G. Tauriello
AbstractIntroducing fundamental concepts of Computational Engineering through the cycle of Modeling - Numerical Methods - Programming. The course emphasizes Object Oriented Programming for Engineers and introduces software development practices such as Design Patterns. The programming skills are acquired by solving engineering problems by suitable numerical methods.
Objective1. Principles of Computational Modeling for Engineering Problems
2. Extended knowledge C++ 2. Develop an understanding of Design Patterns in Programming
3. Numerical methods for Engineers
4. Implement OO concepts in solving modeling and optimization problems in Engineering
Lecture notesNotes from the lectures will be distributed in class
LiteratureLecture Notes will be distributed in class.
Suggested textbooks will be presented in the course.
Prerequisites / NoticeVoraussetzung:
Besuch von Informatik
151-1053-00LThermo- and Fluid Dynamics Information 0 credits2KL. Kleiser, R. S. Abhari, K. Boulouchos, P. Jenny, P. Koumoutsakos, C. Müller, H. G. Park, D. Poulikakos, H.‑M. Prasser, T. Rösgen, A. Steinfeld
AbstractCurrent advanced research activities in the areas of thermo- and fluid dynamics are presented and discussed, mostly by external speakers.

The talks are public and open also for interested students.
ObjectiveKnowledge of advanced research in the areas of thermo- and fluid dynamics
ContentCurrent advanced research activities in the areas of thermo- and fluid dynamics are presented and discussed, mostly by external speakers.
252-5251-00LComputational Science2 credits2SP. Arbenz, T. Hoefler, P. Koumoutsakos
AbstractClass participants study and make a 40 minute presentation (in English) on fundamental papers of Computational Science. A preliminary discussion of the talk (structure, content, methodology) with the responsible professor is required. The talk has to be given in a way that the other seminar participants can understand it and learn from it. Participation throughout the semester is mandatory.
ObjectiveStudying and presenting fundamental works of Computational Science. Learning how to make a scientific presentation.
ContentClass participants study and make a 40 minute presentation (in English) on fundamental papers of Computational Science. A preliminary discussion of the talk (structure, content, methodology) with the responsible professor is required. The talk has to be given in a way that the other seminar participants can understand it and learn from it. Participation throughout the semester is mandatory.
Lecture notesnone
LiteraturePapers will be distributed in the first seminar in the first week of the semester
401-0686-00LHigh Performance Computing for Science and Engineering (HPCSE) for CSE Information 7 credits3G + 2PP. Koumoutsakos, M. Troyer
Abstract
Objective