Poznan University of Technology
European Credit Transfer System
Faculty of Mechanical Engineering and Management
STUDY MODULE DESCRIPTION FORM
Name of the module/subject
Code
Computational systems and tools in engineering
Field of study
Profile of study
(general academic, practical)
Erasmus+
general
Elective path/specialty
1/1
Subject offered in:
-
Course (compulsory, elective)
English
Cycle of study:
optional
Form of study (full-time,part-time)
second-cycle
full-time
No. of hours
Wykłady: 15
Year /Semester
No. of credits
Ćwiczenia:
-
Laboratoria:
-
Projekty/seminaria:
Status of the course in the study program (Basic, major, other)
3
-
(university-wide, from another field)
general university subject
other
Education areas and fields of science and art
ECTS distribution (number
and %)
technical sciences
technical sciences
3 100%
3 100%
Responsible for subject / lecturer:
dr inż. Paweł Fritzkowski
email: pawel.fritzkowski@put.poznan.pl
tel. 61 665 2387
Wydział Budowy Maszyn i Zarządzania
ul. Jana Pawła II 24, 60-965 Poznań
Prerequisites in terms of knowledge, skills and social competencies:
1
Knowledge
2
Skills
Basic knowledge of mathematics as well as solid and fluid mechanics
The ability to solve elementary problems of mechanics & design by means of a computer;
the ability to become familiar with new engineering software
Understanding the necessity to broaden own knowledge and to shape new skills
Social
competencies
Assumptions and objectives of the course:
3
1. To enrich the student’s knowledge on scientific computing with application to mechanics & design.
2. To shape the skills in modelling and analysis of physical systems.
3. To develop the ability to select and use appropriate models, methods, software and tools for simulation of basic
phenomena.
Study outcomes and reference to the educational results for a field of study
Knowledge
Can explain the idea of modelling & computer simulation, knows their capabilities and limitations as well as their common
and potential applications.
Understands the cycle of modelling, simulation and analysis of physical systems, and classifications of models and problems.
Knows the standard models related to vibrations, elastostatics, heat transfer and fluid flow.
Knows the capabilities and limitations of common computational methods and typical engineering software.
Skills:
Is able to reason at abstract level and apply mathematical foundations of mechanics to understand and evaluate existing
models and methods.
Can select and use available computational models and tools to solve engineering problems, and determine the computing
requirements appropriate to their solution.
Can create a virtual model of a mechanical system, conduct simulations and improve the design to meet desired needs.
Can plan and conduct numerical experiments as well as can analyze and interpret results.
Social competencies:
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Poznan University of Technology
European Credit Transfer System
Faculty of Mechanical Engineering and Management
Is able to work effectively on a team to achieve a common goal.
Understands the need for lifelong learning; can inspire other students and organize the learning process.
Can think and act creatively.
Assessment methods of study outcomes
A written exam consisting of two parts:
1. Theoretical part: 10 close-ended questions (10 total points).
2. Practical part: 1 problem to solve by using computers, scored on a scale of 0-10.
Linear grading scale:
90-100% − A; 80-90% − B+; 70-80% − B; 60-70% − C+; 50-60% − C; below 50% − D.
Course description
Basic concepts of modelling and computer simulation; capabilities, limitations and challenges.
Three pillars of contemporary science and engineering: theory, experiment, modelling & simulation.
Modelling phases and the cycle of modelling, simulation and analysis of physical systems.
Classification of physical and mathematical models; classification of computational problems.
Typical applications of modelling & simulation in the field of mechanics & design; common software suitable for the problems.
Reliability of numerical simulations and sources of error.
Most common methods for numerical simulations in computational mechanics.
Standard models used as the basis of simulations: vibrations, elastostatics, heat transfer and fluid flow.
Examples: solving engineering problems with Mathematica, COMSOL Multiphysics and SolidWorks Simulation.
Basic bibliography:
1. Woolfson M.M., Pert G.J., An Introduction to Computer Simulation. Oxford University Press, Oxford, 1999.
2. Cook R.D., Finite Element Modeling for Stress Analysis. Wiley, New York, 1995.
3. Golub G.H., Ortega J.M., Scientific Computing and Differential Equations. An Introduction to Numerical Methods.
Academic Press, San Diego, 1992.
4. Bijak-Żochowski M., Jaworski A.A., Krzesiński G., Zagrajek T., Mechanics of Materials and Structures, Vol. 1 & 2.
Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa, 2013 [in Polish].
Additional bibliography:
1. Liu G.R., Quek S.S., The Finite Element Method: A Practical Course. Butterworth-Heinemann, Oxford, 2003.
2. Boresi A.P., Schmidt R.J., Sidebottom O.M., Advanced Mechanics of Materials. Wiley, New York, 1993.
3. Zienkiewicz O.C., Taylor R.L., The Finite Element Method, Butterworth-Heinemann, Oxford, 2000.
Result of average student's workload
Time (working
hours)
Activity
1. Lectures
15
3. Consultations
2
5. Preparing for the exam
15
6. Exam
2
7. Exam summary
1
Student’s workload
Source of workload
hours
ECTS
Total workload
35
3
Contact hours
20
1
Practical activities
0
0
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