Course syllabus - Process modelling
Scope
7.5 credits
Course code
ERA311
Valid from
Spring semester 2018
Education level
Second cycle
Progressive Specialisation
A1N (Second cycle, has only first-cycle course/s as entry requirements).
Main area(s)
School
School of Business, Society and Engineering
Ratified
2016-01-28
Revised
2017-01-31
Literature lists
Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.
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Books
Process modelling and model analysis
San Diego : Academic Press, cop. 2001. - xvi, 543 s.
ISBN: 0-12-156931-4 (acid-free paper) LIBRIS-ID: 9020102
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Books
Process modelling and model analysis
San Diego : Academic Press, cop. 2001. - xvi, 543 s.
ISBN: 0-12-156931-4 (acid-free paper) LIBRIS-ID: 9020102
Objectives
The course will give deeper knowledge in mathematical modelling of energy processes.
Learning outcomes
After completion of the course the student shall be able to:
1. identify the assumptions, equations and boundary conditions necessary for model building
2. define, setup, analyse and test models within process engineering
3. apply conservation principles and develop constitutive relations used for modelling purposes
4. select and utilize appropriate numerical methods to solve steady state and dynamic models
5. encode models in suitable programming languages
6. understand and apply the most commonly used methods in statistical model calibration and validation
7. show knowledge within the research area of process modelling
Course content
The course covers principles in model building in process engineering, theory about mathematical modelling within energy processes, analytical and numerical solutions, statistical and empirical modelling.
Tuition
Lectures, assignments
Specific requirements
150 credits within an energy engineering program which includes 7,5 credits from each of the courses Applied Thermodynamics, Heat and Mass Transfer and Mechanics of Fluids, or similar and 22,5 credits in Mathematics/applied mathematics where at least 7,5 credits must be Single Variable Calculus.
In addition Swedish B/Swedish 3 and English A/English 6 are required. In cases where the course is given in English, exemption from the Swedish B/Swedish 3 is given.
Examination
Assignment (INL1), 1.5 credits, grades 3, 4 or 5 (learning outcomes 1,3,7)
Assignment (INL2), 5 credits, grades 3, 4 or 5 (learning outcomes 1 - 5)
Assignment (INL3), 1 credit, grades 3, 4 or 5 (learning outcome 6)
A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.
Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.
Grade
Pass with distinction, Pass with credit, Pass, Fail
Interim Regulations and Other Regulations
It is desirable to have knowledge from the courses Heat and Power Technology 15 credits, Numerical Methods 7.5 credits and Programming, 7.5 credits.
The course overlaps 7,5 credits with ERA302 Process Modelling.