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English: for Theory and Laboratory sessions
CE22: Design and apply models aimed at solving industrial organization problems.
CT1: That the students know a third language, which will preferably be English, at an adequate level orally and in writing and in accordance with the needs of graduates in each degree.
CT2: That students have the ability to work as members of an interdisciplinary team either as another member, or performing management tasks in order to contribute to developing projects with pragmatism and a sense of responsibility, assuming commitments taking into account the available resources.
Subject framed in the matter of operative investigation. The course aims to introduce students to the basic concepts, principles and foundations of simulation techniques, game theory, and Markov chains for analysis and decision making in all contexts. Finally, concepts related to business applications are introduced in the context of the digital transformation of the company, such as the big data and the Business intelligence.
Content title 1: Analysis of decisions |
Dedication: |
Large Group: 8 Small Group: 4 Autonomous learning: 18 |
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Description |
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Related activities |
Active1, Active 3 and Active 4 |
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Content title 2: Simulation |
Dedication: |
Large Group: 8 Small Group: 4 Autonomous learning: 18 |
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Description |
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Related activities |
Active1, Active 3 and Active 4 |
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Content title 3: Markovian decision-making processes |
Dedication: |
Large Group: 8 Small Group: 4 Autonomous learning: 18 |
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Description |
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Related activities |
Active2, Active 3 and Active 4 |
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Content title 4: Game theory |
Dedication: |
Large Group: 8 Small Group: 4 Autonomous learning: 18 |
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Description |
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Related activities |
Active2, Active 3 and Active 4 |
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Content title 5: Big data i Business intelligence |
Dedication: |
Large Group: 8 Small Group: 4 Autonomous learning: 18 |
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Description |
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Related activities |
Active2, Active 3 and Active 4 |
ACTIVITIES |
PES discipline |
EXAMS |
60% (Pex1 25% + Pex2 35%) |
EXERCISES |
Present in several = 10% |
WORK EXPERIENCE |
Present in several = 30% |
The final grade is the weighted sum of the grades for the learning activities:
Q = 0.25 Pex1 + 0.35 Pex2 + 0.10 ExiPar + 0.30 Lab
Important: all activities are mandatory. To pass the course, the student must attend (or submit) all the activities!
Remarks on Recovery
The theory part of the subject (Pex1 and Pex2) is recoverable. The other parts are not recoverable. For students attending the resit exam their grade (Pex1 and Pex2) will be the one obtained in this test and their final grade (Q) will be calculated with the formulas detailed above and in no case will it exceed 7.
Rules for carrying out the activities
Remarks:
To pass the assessment activities, students must demonstrate the MECES Level - 2:
• (point c) have the ability to collect and interpret data and information on which to base their conclusions, including, where necessary and relevant, reflection on issues of a social, scientific or ethical nature in the field of their field of study
• (point e) know how to communicate to all types of audiences (specialized or not) in a clear and precise way, knowledge, methodologies, ideas, problems and solutions in the field of their field of study;
• (point f) be able to identify their own training needs in their field of study and work or professional environment and to organize their own learning with a high degree of autonomy in all types of contexts
For each activity, teachers will be informed of the particular rules and conditions that govern them
The one-to-one activities presuppose the student's commitment to carry them out individually and without any collaboration with other people. All activities in which the student does not comply with this commitment to individuality will be considered suspended (grade 0), regardless of their role (sender or receiver) and without this excluding the possible application of other sanctions in accordance. with the current Disciplinary Regime.
Likewise, the activities to be carried out in groups presuppose the commitment on the part of the students who make it up to carry them out within the group and without any kind of collaboration with other groups or people who are alien (group individuality). All activities in which the group has not respected this commitment regardless of its role (sender or receiver) and without this excluding the possible application of other sanctions in accordance with the current Disciplinary Regime will be considered suspended (rating 0).
In the case of activities that can be done in groups, when in any of them the commitment of group individuality is not respected and / or fraudulent means are used in its accomplishment, the qualification of the activity will be, for all members of the group, of 0 points (Activity Note = 0) and without this excluding the possible application of other sanctions in accordance with the current Disciplinary Regime.
Any activity not delivered will be considered a suspended subject
It is optional for teachers to accept or not deliveries outside the deadlines indicated. In the event that these late deliveries are accepted, it is up to the teacher to decide whether to apply a penalty and the amount of this.
Hillier, Frederick S .; Lieberman, Gerald J. (2010). Introduction to Operations Research. McGraw-Hill
Jared Dean (2014). Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners. Wiley, ISBN 978-1-118-92069-5.
Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of Performance Modeling by William J. Stewart; Princeton University Press (July 26, 2009)
Game Theory: An Introduction by Steven Tadelis Princeton University Press; 1st Edition edition January 6, 2013