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Business Analytics

Compulsary module

Semestri
I
Fondi i përgjithshëm
45 hours
Mësimdhënësi
Prof. Faton Berisha

Materiale për lëndë që zhvillohen aktualisht nga Prof. Nimete Berisha.

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Materials

Learning outcomes

Objectives

    Goals:

  • Enabling the students for using statistical tools in business and financial applications.
  • Providing the students with knowledge of linear optimization and enabling them for using appropriate software tools in business applications.
  • Providing the students with knowledge of linear optimization and enabling them for using appropriate software tools in business applications.

Assessment

Evaluation

    Students Evaluation:

    Evaluation is based on the following scheme.

  • Attendance and activity: 10%.
  • Homework: 30%.
  • Midterm exam: 35%.
  • Final exam: 35%.

    At least 60% of the points are required for a pozitive grade (for details see the course syllabus).

Course programme

Contents

  1. 1.ExplorationëofëData
  2. 2.Probabilityë&ëDecisionëMakingëunderëUncertainty
  3. 3.RegressionëAnalysisë&ëForecasting
  4. 4.Optimization
  5. 5.Simulation

Sources

References

  1. Albright,ëWinston,ëZappe, Dataëanalysisëandëdecisionëmaking, McGraw-Hill, 2005.
  2. B. L. Bowerman, R. T. O'Connell, Business statistics in practice, McGraw-Hill, 2005.
  3. H. Reynolds, Mathematical applications -- for the management, life, and social sciences, Houghton Mifflin, 2000.

External resources

Useful links

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