Uusi opinto-opas (sisältäen myös opetusohjelmat) lukuvuodelle 2018-2019 sijaitsee osoitteessa https://opas.peppi.utu.fi . Tältä sivustolta löytyvät enää vanhat opinto-oppaat ja opetusohjelmat.

The new study guide (incl. teaching schedules) for academic year 2018-2019 can be found at https://studyguide.utu.fi. This site contains only previous years' guides.

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Archived Curricula Guide 2016–2018
Curricula Guide is archieved. Please refer to current Curricula Guides
ÅA456402 Computational Modeling Techniques 5 ECTS
Person in charge
Ion Petre

General description

This course is arranged by Åbo Akademi University. See http://tucs.fi/education/courses/

Learning outcomes

This course aims to provide an introduction to the entire computational modeling process, from the formulation of a qualitative model, to its quantitative formulation, to model fitting and validation, model analysis, and model predictions. We focus on the various computational methods that can be employed for modeling and especially on the advantages (and disadvantages) of each approach. We discuss in the course modeling with difference equations, differential equations, and with stochastic processes. The examples we follow throughout the course are mainly from biology and ecology, but the applicability of the methods covered in the course is very broad and it includes dependability issues in complex systems, resource availability, but also applications in economy, chemistry, and social sciences.

Contents

-Computational modeling: generalities
-Basic modeling techniques: modeling change, roportionality and geometric similarity
-Model fiting
-Modeling with ordinary differential equations
-Basic numerical techniques for ODE-based models: steady state analysis, sensitivity analysis, flux control analysis
-Parameter estimation methods
-Modeling with stochastic processes

Teaching language

English

Modes of study

Lectures, exercises, exam

Evaluation

Numeric 0-5.

Belongs to following study modules

Department of Future Technologies
Department of Biochemistry
2018–2019
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Implementation details are unavailable.
Department of Future Technologies
DP in Computer Science
DP in Computer Science
DP Bachelor of Science in Techn.(Communication St)
DP in Information and Communication Technology
MDP in Digital Health and Life Sciences (Tech.)
Finnish Study Modules