course-details-portlet

TMA4285 - Time Series Models

About

Examination arrangement

Examination arrangement: Portfolio assessment
Grade: Letters

Evaluation Weighting Duration Grade deviation Examination aids
Arbeider 20/100
Skriftlig eksamen 80/100 4 timer

Course content

Autoregressive and moving average based models for stationary and non-stationary time series. Model identification, parameter estimation and forecasting. ARCH and GARCH models for volatility. State space models, linear dynamic models and the Kalman filter.

Learning outcome

The course gives basic knowledge of models for series of stochastically dependent observations in time, with applications in engineering and finance. The student will through the exercises be able to apply the theory to analyse time series data.

Learning methods and activities

Lectures and exercises on a computer. The lectures may be given in English. Portfolio assessment is the basis for the grade awarded in the course. This portfolio comprises a written final examination 80% and selected parts of the exercises 20%. The results for the constituent parts are to be given in %-points, while the grade for the whole portfolio (course grade) is given by the letter grading system. Retake of examination may be given as an oral examination.

Compulsory assignments

  • Exercises

Course materials

Will be announced at the start of the course.

Credit reductions

Course code Reduction From To
SIF5079 7.5
More on the course
Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2011

Language of instruction: English, Norwegian

-

Subject area(s)
  • Statistics
  • Technological subjects
Contact information
Course coordinator:

Department with academic responsibility
Department of Mathematical Sciences

Examination

Examination arrangement: Portfolio assessment

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Skriftlig eksamen 80/100 2011-12-01 09:00
Room Building Number of candidates
Autumn ORD Arbeider 20/100
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

More on examinations at NTNU