Universidad Pública de Navarra - Nafarroako Univertsitate Publikoa
Public University of Navarre
| Course code: 176305 | Subject title: OPTIMIZATION THEORY/QUANTITATIVE METHODS OF BUSINESS MANAGEMENT | ||||
| Credits: 6 | Type of subject: Mandatory | Year: 2 | Period: 1º S | ||
| Department: Statistics and Operative Research | |||||
| Lecturers: | |||||
| FAULIN FAJARDO, FCO. JAVIER [Mentoring ] | AGUSTIN MARTIN, ALBA MARIA [Mentoring ] | ||||
Contents
1. The knowledge of the role of Business Analytics and Quantitative Analysis in Economics and Business Management.
2. The appropriate use of the computing tools to model real problems in Business.
3. The study the main models of Business Analytics in Management and Economics.
Descriptors
Decision Making in Business, Linear Programming, Integer Programming, Multiobjective Programming, Practical Applications in Business.
This subject presents a classical contents in Linear Programming applied to decision making in business management. Concerning models, lineal, integer and multiobjective programming are introduced with applications to Production, Marketing, Finance, Human Resources and Managerial Strategy.
General proficiencies
a) Instrumentales
CG01. Capacidad de análisis y síntesis.
CG02. Capacidad de organización y planificación.
CG04. Comunicación oral y escrita en la lengua extranjera.
CG05. Conocimientos de informática relativos al ámbito de estudio
CG06. Habilidad para analizar y buscar información proveniente de fuentes diversas.
CG07. Capacidad para la resolución de problemas.
CG08. Capacidad de tomar decisiones.
b) Personales
CG09. Capacidad para trabajar en equipo.
CG10. Trabajo en un equipo de carácter interdisciplinar
CG11. Trabajo en un contexto internacional
CG13. Capacidad para trabajar en entornos diversos y multiculturales
CG14. Capacidad crítica y autocrítica.
CG15. Compromiso ético en el trabajo.
c) Sistémicas
CG17. Capacidad de aprendizaje autónomo.
CG18. Capacidad de adaptación a nuevas situaciones.
CG19. Creatividad
CG21. Iniciativa y espíritu emprendedor.
CG23. Sensibilidad hacia temas medioambientales y sociales.
Specific proficiencies
CE01. Entender las instituciones económicas como resultado y aplicación de representaciones teóricas o formales acerca de cómo funciona la economía.
CE02. Indentificar las fuentes de información económica relevante y su contenido.
CE03. Derivar de los datos información relevante imposible de reconocer por no profesionales
CE04. Aplicar al análisis de los problemas de gestión empresarial criterios profesionales basados en el manejo instrumentos técnicos.
CE05. Emitir informes de asesoramiento sobre situaciones concretas de empresas y mercados.
CE06. Redactar proyectos de gestión global o de áreas funcionales de la empresa.
CE07. Valorar a partir de los registros relevantes de información la situación y previsible evolución de una empresa.
CE11. Comprender la naturaleza de la empresa como organización y lugar de interacción de agentes con distintos intereses.
CE13. Identificar la empresa como sistema y reconocer las interdependencias entre las distintas áreas funcionales.
Methodology
| Training Activity |
Methodology | Hours |
| Theoretical sessions in the classroom |
Magisterial classes taught by the instructor |
30 |
| Theoretical sessions preparations | Reading of related topics |
3 |
| Weekly study | Weekly study |
35 |
| Practical sessions in the classroom | Practical exercises with computers |
30 |
| Personal reports and assignments | Reports and assignments to be discussed with the instructor |
25 |
| Small groups meetings | Discussion of reports and assignments in small groups |
1 |
| Exam | Exam study and preparation |
26 |
| Total | 150 |
Evaluation
Assessment Criteria
The assessment procedure of the subject will be the following:
1) Compulsory assessment
a. Mid-term exam in November 2013
b. Final exam of the subject on January 2014
2) Voluntary assessment
a. Problems and exercises solved by students
b. Cases resolution
Moreover, other aspects to be taken into account in the subject assessment would be: 1) discussions and classroom feedback 2) use of teaching materials and handouts given in the virtual course at Mi Aulario 3) use of the Mi Aulario by the students.
The evaluation details will be the next ones:
Concept Weight
Midterm exam mid Nov 20% No show policy
Final Exam 65% Minimum to pass: 25%
Computer classes 10%
Classes exercises and Classes feedback 5% Optional
Cases Discussion 15% Optional
TOTAL 115% Minimum to pass 60%
Agenda
Syllabus
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
Bibliography
Access the bibliography that your professor has requested from the Library.
1) Anderson, D.R., Sweeney, D. J., Williams, T.A. Camm, J. and Martin, K. (2013): 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. (2010): 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)