Public University of Navarre



Academic year: 2024/2025 | Previous academic years:  2023/2024  |  2022/2023  |  2021/2022  |  2020/2021 
International Bachelor's degree in Management and Business Administration
Course code: 174305 Subject title: QUANTITATIVE METHODS OF BUSINESS MANAGEMENT
Credits: 6 Type of subject: Mandatory Year: 2 Period: 1º S
Department: Estadística, Informática y Matemáticas
Lecturers:
FAULIN FAJARDO, FCO. JAVIER (Resp)   [Mentoring ] SERRANO HERNANDEZ, ADRIAN   [Mentoring ]

Partes de este texto:

 

Module/Subject matter

Quantitative Methods / Quantitative Methods

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Contents

This subject presents a classical content of Linear Programming applied to decision making in Management. The typical models that will be introduced here will be: Linear Programming, Integer and Multicriteria Programming, with application to decision makings in Production, Marketing, Finance, Human Resources, and Strategy. It is highlighted the use of exact methods for the resolution of linear programs and practical cases related to real companies. The practical point of view will be essential in the development of this subject.

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General proficiencies

Not applicable

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Specific proficiencies

Not applicable

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Learning outcomes

RA01: Identify relevant economic information sources for the company and their content.
RA02: Understand economic institutions as the result and application of theoretical or formal representations of how the economy works.
RA03: Derive relevant information for the company from data that cannot be recognized by non-professionals.
RA20: Plan, organize, and control global management projects or those of the different functional areas of the company.
RA25: Use personal, social, and methodological knowledge, skills, and abilities to issue advisory reports on specific situations of companies and markets.
RA29: Develop the skills necessary to understand and apply quantitative techniques to the interpretation and resolution of socioeconomic problems.

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Methodology

Training activity Methodology Hours
Theoretical sessions at the classroom The instructor will develop the topic objectives, its contents, and problems, highlighting the most difficult ones related to the unit to be explained. 30
Study of the theoretical sessions Reading of a short text related to the topic to study 03
Weekly own study Own study of the topics explained in the theoretical classes. 35
Practical classes at the classroom Development of practical exercises to be developed with the use of a computer. 30
Assignments writing Development of assignments to be given in to the instructor and could be discussed in class. 25
Consulting activities Presentation and discussion of the problems and difficulties found in the subject 01
Exam Study and development of the subject exams 26
Total   150

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Evaluation

Subject Assessment

Learning
outcome
Assessment
activity
 Weight (%) It allows
test resit
Minimum
required grade
All Midterm exams- Case Discussion 25% Yes, it takes part in the resit exam  
  Final Exam 70% Yes, it takes part in the resit exam 5 out of 10
All Class participation, exercises and/or homework 5% Yes, it takes part in the resit exam  

 

 

 

 

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Agenda

Chapter 1: Introduction to Quantitative Methods and Business Analytics.

Chapter 2: An Introduction to Linear Programming.

Chapter 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution.

Chapter 4: Linear Programming Applications.

Chapter 5: Linear Programming: The Simplex Method.

Chapter 6: Advanced Linear Programming Applications.

Chapter 7: Simplex-Based Sensitivity Analysis and Duality.

Chapter 8: Transportation, Assignment, and Transshipment Problems.

Chapter 9: Integer Linear Programming.

Chapter 10: Multicriteria Decisions.

Chapter 11: Applications of Linear Programming, Integer Programming and Multicriteria Programming in real cases in companies

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Bibliography

Access the bibliography that your professor has requested from the Library.


References

  1. Anderson, D.R., Sweeney, D. J., Williams, T.A. Camm, J. and Martin, K. (2012): An Introduction to Management Science. Quantitative Approach to Decision Making. West Publishing Company. (ASW)  (Main handbook)
  2. Hillier, F.S. and Hillier, M.S. (2011): Introduction to Management Science. A Modeling and Case Studies Approach with Spreadsheets. McGraw-Hill. (HH)
  3. Hillier, F.S. and Liebermann, G.J. (2021): Introduction to Operations Research.  McGraw-Hill. (HL)
  4. Lawrence, A.L. and Pasternack, B.A. (2002): Applied Management Science. A Computer Integrated Approach for Decision Making. Wiley. (LP)
  5. Powell, S.G. and Baker, K.R. (2009): Management Science. The Art of Modeling with Spreadsheets. Wiley. (PB)
  6. Winston, W. (2005): Operations Research. Applications and Algorithms. Duxbury. (WW)

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Languages

English. A C1 level of English is recommended to follow this subject. Students not fulfilling the C1 requirement could have problems to follow this subject.

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Location

Room for theoretical classes, computer rooms, and virtual course Mi Aulario. Roughtly speaking, the 80% of the teaching will be done in a room and the 20% in the virtual course Mi Aulario.

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