Guías Docentes Electrónicas
1. General information
Course:
OPERATIONAL RESEARCH FOR BUSINESS
Code:
54337
Type:
ELECTIVE
ECTS credits:
4.5
Degree:
329 - UNDERGRADUATE DEGREE PROGRAMME IN BUSINESS MANAGEMENT AND ADMINISTRATION (TA)
Academic year:
2020-21
Center:
15 - FACULTY OF SOCIAL SCIENCES OF TALAVERA
Group(s):
60 
Year:
4
Duration:
First quarter
Main language:
Second language:
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer: ALVARO MARTINEZ PEREZ - Group(s): 60 
Building/Office
Department
Phone number
Email
Office hours
Despacho 2.9
ANÁLISIS ECONÓMICO Y FINANZAS
5647
alvaro.martinezperez@uclm.es
First semester: Tuesdays from 9 to 11 and from 16 to 18. Fridays from 9 to 11 and from 14 to 15. Second semester: Thursday from 9:30 to 11:30 and from 16 to 18 and Fridays from 9 to 11 and from 15 to 17.

2. Pre-Requisites

Having passed Mathematics for Business I and II

3. Justification in the curriculum, relation to other subjects and to the profession
Not established
4. Degree competences achieved in this course
Course competences
Code Description
E07 Understand the economic environment as a result and application of theoretical or formal representations on how the economy works. To do so, it will be necessary to be able to understand and use common handbooks, as well as articles and, in general, leading edge bibliography in the core subjects of the curriculum.
E08 Ability to produce financial information, relevant to the decision-making process.
G01 Possession of the skills needed for continuous, self-led, independent learning, which will allow students to develop the learning abilities needed to undertake further study with a high degree of independence.
G03 Develop oral and written communication skills in order to prepare reports, research projects and business projects and defend them before any commission or group of professionals (specialised or non-specialised) in more than one language, by collecting relevant evidence and interpreting it appropriately so as to reach conclusions.
G04 Ability to use and develop information and communication technologies and to apply them to the corresponding business department by using specific programmes for these business areas.
5. Objectives or Learning Outcomes
Course learning outcomes
Description
Search for information in order to analyze it, interpret is meaning, synthesize it and communicate it to others.
Know the tools and methods for the quantitative analysis of the company and its environment, including models for business decision making as well as economic forecast models.
Know the analytical models and techniques of the economic and legal environment currently faced by enterprises, with special attention given to the search for opportunities and the anticipation of potential changes.
Work out problems in creative and innovative ways.
Additional outcomes
Description
Being able to translate an optimization problem expressed in literal terms into mathematical language, identifying the most appropriate mathematical context for it. Being able to solve this problem, identifying the optimal solution, and issue a reasoned recommendation on the procedure to follow to achieve it.
6. Units / Contents
  • Unit 1: Introduction to Operations Research
  • Unit 2: Informatic Tools
  • Unit 3: Graph Theory
  • Unit 4: Game Theory
  • Unit 5: Probabilistic Methods
ADDITIONAL COMMENTS, REMARKS

The contents of this teaching guide have been agreed by the mathematics area and therefore are similar in every campus in the UCLM where this degree is offered.


7. Activities, Units/Modules and Methodology

All training activities will be recoverable, in other words, there must be an alternative evaluation test that allows to reassess the acquisition of the same skills in the ordinary, extraordinary and special call for completion. If exceptionally, the evaluation of any of the training activities cannot be recovered, it must be specified in the description and be expressly authorized by the department.

Training Activity Methodology Related Competences ECTS Hours As Com Description
Class Attendance (theory) [ON-SITE] Lectures E07 E08 0.7 17.5 N N Teaching the subject by lecturer (MAG)
Class Attendance (practical) [ON-SITE] Project/Problem Based Learning (PBL) E07 E08 G03 G04 0.6 15 N N Worked example problems and cases resolution by the lecturer and the students (PRO)
Writing of reports or projects [OFF-SITE] Guided or supervised work E07 E08 G01 0.5 12.5 Y N Small evaluable asignmentes or autonomous development problem resolution (EVA)
Problem solving and/or case studies [ON-SITE] Project/Problem Based Learning (PBL) E07 E08 G03 G04 0.35 8.75 Y N Defense of individual asignments (EVA)
Writing of reports or projects [OFF-SITE] Guided or supervised work E07 E08 G01 0.2 5 Y N Group asignment carried out between 3 or 4 students. Study and development of a problem (EVA)
Problem solving and/or case studies [ON-SITE] Project/Problem Based Learning (PBL) E07 E08 G03 G04 0.05 1.25 Y N Defense of the group asignment (EVA)
Study and Exam Preparation [OFF-SITE] Self-study E07 E08 G01 2 50 N N Self study (EST)
Final test [ON-SITE] Assessment tests E07 E08 G03 G04 0.1 2.5 Y Y Final test of the complete syllabus of the subject (EVA)
Total: 4.5 112.5
Total credits of in-class work: 1.8 Total class time hours: 45
Total credits of out of class work: 2.7 Total hours of out of class work: 67.5

As: Assessable training activity
Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).

8. Evaluation criteria and Grading System
Evaluation System Continuous assessment Non-continuous evaluation * Description
Theoretical papers assessment 30.00% 0.00% Study, development and defense of
individual asignments.
Theoretical papers assessment 30.00% 0.00% Study, development and defense of
group asignments.
Final test 40.00% 100.00% Final test of the whole syllabus.
Total: 100.00% 100.00%  
According to art. 6 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 13.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).

Evaluation criteria for the final exam:
  • Continuous assessment:
    The final grade will consist of 40% of the grade obtained in the final test, 30% of the grade obtained in the preparation and defense of individual asignments and 30% of the grade obtained in the preparation. and defense of group group asignmets, as long as the exam grade is not less than 4.

    If the final exam score is less than a 40%, the continous evaluation will not be considered and the final grade of the course will be the grade of the final exam.
  • Non-continuous evaluation:
    The final exam will consist of the necessary tests (written or oral) to validate the competencies on the subject.

Specifications for the resit/retake exam:
In the extraordinary call the final grade will consist of 80% of the grade obtained in the extraordinary final test and 20% of the arithmetic mean of the two grades obtained in the preparation and defense of individual work and group work, as long as the exam grade is not less than 4.
If the final exam score is less than a 40%, the continous evaluation will not be considered and the final grade of the course will be the grade of the final exam.

Note: If the student does not have a continous evaluation grade or does not want it to be considered, the corresponding percentage of the grade will be computed in the final exam.
Specifications for the second resit / retake exam:
It will be a final test which gives the 100% of the final grade.
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours
Class Attendance (theory) [PRESENCIAL][Lectures] 17.5
Class Attendance (practical) [PRESENCIAL][Project/Problem Based Learning (PBL)] 15
Writing of reports or projects [AUTÓNOMA][Guided or supervised work] 12.5
Problem solving and/or case studies [PRESENCIAL][Project/Problem Based Learning (PBL)] 8.75
Writing of reports or projects [AUTÓNOMA][Guided or supervised work] 5
Problem solving and/or case studies [PRESENCIAL][Project/Problem Based Learning (PBL)] 1.25
Study and Exam Preparation [AUTÓNOMA][Self-study] 50
Final test [PRESENCIAL][Assessment tests] 2.5

Global activity
Activities hours
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
Diestel, R. Graph theory. Electronic Edition 2005  
Eppen, G.D. y otros Investigación de operaciones en la ciencia administrativa. Prentice Hall 2000  
Gibbons, A. Un primer libro de teoría de juegos. Antoni Bosch 2005  
Martín, Q. Investigación Operativa Prentice Hall 2003  
Mathu, K. y Solow, D. Investigación de operaciones. Prentice Hall 1996  
Rosa Barbolla, E.C. Optimización: Programación matemática y aplicaciones a la economía. Garceta 2010  
Taha, H.A. Investigación de operaciones. Una introducción. Prentice Hall 1997  



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