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 Cursus: 202200239
 202200239Modelling and Programming 2
 Cursus informatie
Cursus202200239
Studiepunten (ECTS)5
CursustypeOnderwijseenheid
VoertaalEngels
Contactpersoondr.ir. G. Meinsma
E-mailg.meinsma@utwente.nl
Docenten
 Vorige 1-5 van 86-8 van 8 Volgende 3
 Docent dr. T.S. Craig Docent dr. R.P. Hoeksma Examinator dr. B. Manthey Examinator dr.ir. G. Meinsma Contactpersoon van de cursus dr.ir. G. Meinsma
Collegejaar2022
Aanvangsblok
 2A
OpmerkingPart of module 3 B-AM.
Minor students: please register for the minor!
AanmeldingsprocedureZelf aanmelden via OSIRIS Student
Inschrijven via OSIRISJa
 Cursusdoelen
 body { font-size: 9pt; font-family: Arial } table { font-size: 9pt; font-family: Arial } Afterwards the student is able to: Interpret a real-life problem, and extract from it a sensible mathematical research question, Devise an action plan for the modelling project with the above research question, Execute the modelling assignment, with emphasis on the mathematical analysis, in particular relating to the other courses in this module,  Present written and verbally the results of the modelling project, Cooperate in a team and give constructive feedback, Present the results of a project both in written and verbal form, Analyse the correctness of algorithms implemented in Python, Describe, explain and modify larger programs in Python.
 Inhoud
 body { font-size: 9pt; font-family: Arial } table { font-size: 9pt; font-family: Arial } The prime objective (80% of the course) is to predict water levels using lots of measurements that have been collected in the past. This is directly related to signals and transforms but if you want to characterise the quality of your prediction you also need to model and quantify the uncertainty, which is connected to probability theory. In the project the students work in a group.  Students should report their results in a written report, as well as an oral presentation. A second component is a programming course (20% of the course) focusing on the use of Python. The focus is on the following topics: Recursion Formal reasoning on the correctness of algorithms Implementing elementary algorithms from a textual description Using Python for data and time series analysis. Assessment Modelling assignment (100%) Programming assignment (pass/fail) Collaboration (pass/fail)
Voorkennis
 AM modelling assignments. Basic programming skills.
 Participating study
 Bachelor Applied Mathematics
 Module
 Module 3
Verplicht materiaal
Handouts
 Pdf on Canvas.
Aanbevolen materiaal
-
Werkvormen
Practicum
 Aanwezigheidsplicht Ja

Presentatie(s)
 Aanwezigheidsplicht Ja

Workshop
 Aanwezigheidsplicht Ja

Toetsen
 Modelling assignment Programming assignment Collaboration
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