EPN

ACIT4310 Applied and Computational Mathematics Emneplan

Engelsk emnenavn
Applied and Computational Mathematics
Studieprogram
Master's Programme in Applied Computer and Information Technology
Omfang
10 stp.
Studieår
2022/2023
Timeplan
Emnehistorikk

Innledning

The course will provide the students with an understanding of what a mathematical model is and how we use models to gain insights into systems and processes in science and engineering. The course will train the students in using analytical and computational methods for analyzing and solving differential equations and prepare them for developing, analyzing and simulating mathematical models in their own projects. The models and methods taught in this course are generic and applicable not only in science, but also in various industrial contexts.

Forkunnskapskrav

No formal requirements over and above the admission requirements.

Læringsutbytte

A student who has completed this course should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

On successful completion of the course the student:

  • knows the relevance of a selection of mathematical models to real-world phenomena
  • has a thorough understanding of how mathematical modelling and scientific computing are utilized in various industrialized settings
  • has a repertoire of methods to solve and/or analyze ordinary and partial differential equations (ODEs and PDEs)
  • knows how to analyze the dynamics of an ODE system
  • has a thorough understanding of the definitions of a smooth manifold and the tangent space
  • knows the definitions and algebra of tensors and differential forms on a smooth manifold

 

Skills

On successful completion of this course the student:

  • is able to derive mathematical models from facts and first principles for a selection of dynamical systems
  • can apply mathematical modelling techniques on scenarios relevant to industry
  • can implement mathematical models within the context of applied computer and information technology
  • is able to analyse ODE systems and use bifurcation theory to elucidate the qualitative behavior of the systems
  • is able to implement and use a selection of numerical methods for solving ODEs and PDEs
  • is able to give examples of smooth manifolds and prove their smooth manifold property from the definition
  • is able to use the geometric concepts and tools associated with smooth manifolds in the analysis of mathematical problems within mathematics, physics and engineering

 

General competence

On successful completion of this course the student:

  • is aware of the usefulness and limitations of mathematical modelling as well as of pitfalls frequently encountered in modelling and simulation
  • is able to discuss properties of a system using the equations of the mathematical model
  • can explain and use numerical methods and interpret results of numerical simulations
  • is aware of the role of smooth manifolds as one of the most fundamental concepts in mathematics and physics

Innhold

  • Approaches to scientific computing and implementation of mathematical models
  • Principles of modelling and derivation of mathematical models
  • Analysis, numerical solution and bifurcations of ODEs
  • Numerical methods for computation of solutions of ODEs and PDEs

Arbeids- og undervisningsformer

The course is organized as a series of lectures and seminars where the subject material is presented and discussed. Between these sessions the students should work with problem solving, implementation of numerical methods and model simulations. The last part of the semester students will work with a compulsory individual project supervised by the course lecturer. The project will involve studies and analyses of a mathematical model and a rather extensive implementation of the numerical solution of the model. This will result in a report that should be 2000 - 4000 words of length plus figures.

Arbeidskrav og obligatoriske aktiviteter

None

Vurdering og eksamen

The assessment will be based on a portfolio of the following:

  • One individual project delivery consisting of a report (2000 - 4000 words)
  • An individual oral examination

The portfolio will be assessed as a whole and cannot be appealed.

 

New/postponed exam

In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for applying for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

In the event of a postponed examination in this course the exam may be held as an oral exam. Oral exams cannot be appealed.

Hjelpemidler ved eksamen

All aids are permitted. For the oral exam, students will only have access to the project report.

Vurderingsuttrykk

Grade scale A-F.

Sensorordning

Two internal examiners. External examiner is used periodically.

Emneansvarlig

Associate Professor Leiv Øyehaug