Metodos y Modelos de Investigacion de Operaciones Vol. 1 – Juan Uploaded by Crisstina Sparkler. Copyright: © All Rights Reserved. Download as . Metodos y Modelos de Investigacion de Operaciones Vol. 1 – Juan – Ebook download as PDF File .pdf), Text File .txt) or read book online. Métodos y modelos de investigación de operaciones by Juan Prawda(Book) 8 editions published between and in Spanish and held by 22 WorldCat .
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The course syllabus and the academic weekly planning may change due academic events or other reasons.
Biblioteca Zamorano catalog › Results of search for ‘pb:Limusa,’
Bachelor in Statistics and Business Department assigned to the subject: Students are expected to have completed. Students are expected to have completed courses with contents in linear algebra, statistics, business administration and operacions programming.
Competences and skills that will be acquired and learning results.
Further information on this link. Understanding the basic methods and models of Operations Research, and their application to the formulation, analysis and solution of optimal decision-making models.
Being able to formulate, analyze and solve linear optimization models, via the graphical method, the simplex method and computer software in particular, spreadsheets. Being able to formulate, analyze and solve integer optimization models, via the graphical method, the branch and bound method, and computer software. Being able to design and perform computer simulation experiments via the Monte Investigavion method, and to generate pseudo-random numbers for common statistical distributions.
Capacity for analysis and synthesis. Problem modeling and solving.
Oral invextigacion written communication. Introduction to Operations Research; LO models, formulations, applications and computer solution.
Graphical solution and sensitivity analysis; introduction to robust LO. The fundamental theorem of LO; basic feasible solutions and vertices; the simplex method. Problems with unbounded objetive; the two-phase simplex method. Duality in LO; economic interpretation and application to sensitivity analysis. Optimal network flow models.
IO models and applications; linear relaxations; optimality gap; optimality test; graphical and computer solution. The Branch and Bound method. Strengthening formulations df valid inequalities. Simulation models; Monte Carlo method and applications; computer generation of pseudo-random numbers.
Computer generation of discrete and continuous statistical distributions. Learning activities and methodology. Theory classes with supporting material available in the Web. Practical sessions 3 ECTS. Modeling and problem-solving classes. Practical classes with Excel in computer rooms.
Weekly individual tutoring sessions. The course assessment is based on: Students who do not pass the course in the regular semester will have an extraordinary exam. If a student followed the continuous evaluation process, this exam will have the same weight than the regular exam. In any case, the final grade will be based on the more favorable weighing scheme.
Introduction to Operations Research.