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Business Analytics: Methods and Models (UNINE)

  • Teacher(s):  
  • Course given in: French
  • ECTS Credits:
  • Schedule: Spring Semester 2018-2019, 4.0h. course (weekly average)
      WARNING :   this is an old version of the syllabus, old versions contain   OBSOLETE   data.
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  • site web du cours course website
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A student attaining this course should be able to:
- apply the phases of the decision-making process
- develop an optimal strategy faced with several decision alternatives and uncertainty, using the risk analysis
- recognize, analyse and solve a problem using the linear programming approach, by identifying the constraints and the objective function


The course starts with an overview of the main concepts used in business analytics (decision-making process, systems and models). Then the accent is put on the quantitative approaches to decision making. The main models used in decision analysis (influence diagrams, decision trees) are presented in both contexts - without and with probabilities, together with the two kind of decision-making analysis: risk analysis and sensitivity analysis. One of the most known and applied quantitative model in business analytic, the linear programming, is deeply analysed (optimal solutions, sensitivity analysis, 0-1 variables, case application in marketing, finance, transportation, network distribution, game theory). The last part of the course investigate more sophisticated models as goal programming and analytic hierarchy process (the lasts two models being applied for multicriteria decision problems).


[1] An introduction to Management Science: Quantitative approaches to decision making, by Anderson, Sweeney, Williams and Martin, Thompson South-Western, 13th edition, 2010
[2] Data Analysis and Decision Making, by Albright, Winstone and Zappe, South-Western Cengage Learning, 2010
[3] Essentials of Business Analytics, by J. Camm, J. Cochran, M. Fry & all, Cengage Learning, 2015


First attempt

Written 2h00 hours
Allowed with restrictions
Allowed with restrictions

Written exam (2 hours) during the last week of semester

Grade - 80% writen exam and 20% assignments


Written 2h00 hours
Allowed with restrictions
Allowed with restrictions

Assignments are not considered for the final grade.

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