NMAB13026U Statistical Models in Science (StatNat)

Volume 2014/2015
Education
BSc Programme in Science and IT
Content

Probalitity theory and probabilistic models with dicrete and continuous distributions. Statistical concepts and fundamental methods for estimation and hypothesis tests. Gaussian linear models. Application of statistical methods in science and IT. Use of the statistical program R.

Learning Outcome

Knowledge:

  • Know about probability distributions and their properties
  • Basic understanding of the key concepts for statistical inference: estimation, confidence intervals, hypothesis tests and prediction
  • Knowledge of data transformations
  • Interpretation of statistical models, in particular the interpration of parameters in regression and analysis-of-variance models
  • Understand the syntax for statistical models used in modern statistical programs
  • Explain the background and principles for model validation
  • Know about simple techniques for and application of simulation


Skills:

 

  • Carry out simple probabilistic arguments and computations
  • Estimate and identify simple characteristics for probability distributions
  • Set up statistical models for experimental data
  • Analyse experimental data, ie compute estimates, confidence and prediction intervals, carry out hypothesis tests and model validation
  • Carry out simple examination by means of simulation
  • Use R for analysis, simulation, and graphics


Competences:

 

 

  • Evaluate the validity of simple statistical arguments and computations
  • Identify and analyse statistical models for experimental data

 

MatIntro
2 x 2 hours of lectures (7 weeks), 2 x 2 hours of exercises (7 weeks), 2 hours of independent work on case with 1 follow-up lecture (4 weeks)
  • Category
  • Hours
  • Exam
  • 50
  • Lectures
  • 32
  • Preparation
  • 88
  • Theory exercises
  • 36
  • Total
  • 206
Credit
7,5 ECTS
Type of assessment
Written assignment, 27 hours
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Exam registration requirements
Two of three written assignments during the course must be approved.

If the requirements are not fulfilled, they can be fulfilled before the reexamination. The three written assignments are to be handed in no later than to weeks before the registrationperiod for the reexamination ends. All of the assignments have to be approved before the reexamination.
Aid
All aids allowed
Marking scale
7-point grading scale
Censorship form
No external censorship
One internal examiner
Re-exam
Oral exam of duration 20 minutes and with 20 minutes to prepare. During the preparation time all aids are allowed. During the examination the student may consult a short note/outline prepared during the preparation time. Several internal examiners. In order to register for the re-exam two of three written assignments must be approved.
Criteria for exam assesment

The student must in a satisfactory way demonstrate that he/she has mastered the learning outcome of the course.