Syllabus for Applied Statistical Methods

Tillämpad statistisk metod

Syllabus

  • 7.5 credits
  • Course code: 2ST094
  • Education cycle: First cycle
  • Main field(s) of study and in-depth level: Statistics G1F

    Explanation of codes

    The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:

    First cycle

    • G1N: has only upper-secondary level entry requirements
    • G1F: has less than 60 credits in first-cycle course/s as entry requirements
    • G1E: contains specially designed degree project for Higher Education Diploma
    • G2F: has at least 60 credits in first-cycle course/s as entry requirements
    • G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
    • GXX: in-depth level of the course cannot be classified

    Second cycle

    • A1N: has only first-cycle course/s as entry requirements
    • A1F: has second-cycle course/s as entry requirements
    • A1E: contains degree project for Master of Arts/Master of Science (60 credits)
    • A2E: contains degree project for Master of Arts/Master of Science (120 credits)
    • AXX: in-depth level of the course cannot be classified

  • Grading system: Fail (U), Pass (G), Pass with distinction (VG)
  • Established: 2007-05-31
  • Established by:
  • Revised: 2021-09-09
  • Revised by: The Department Board
  • Applies from: Spring 2022
  • Entry requirements:

    At least 15 credits from Statistics A, 30 credits

  • Responsible department: Department of Statistics

Learning outcomes

A student that has completed the course should

? be practiced in the application of advanced statistical methods

? be able to use statistical software to analyse data

? be able to interpret the results of a statistical analysis

? be aware of limitations and possible sources of errors in the analysis

? have ability to present results in oral and written form.

Content

Practical application of statistical methods from different application fields.

Instruction

Teaching is given in the form of lectures and supervision.

Assessment

The examination comprises compulsory assignments (orally and in written form). Three grades are awarded for the course: not passed, passed and passed with distinction.

"If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the University's disability coordinator."

Syllabus Revisions

Reading list

Reading list

Applies from: Spring 2022

Some titles may be available electronically through the University library.

  • Asteriou, Dimitrios; Hall, S. G. Applied econometrics

    3rd Edition: London: Palgrave Macmillan, 2016.

    Find in the library

  • Cryer, Jonathan D.; Chan, Kung-sik Time series analysis : with applications in R

    2. ed.: New York: Springer, cop. 2008

    Find in the library

    Mandatory

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