Technologies to improve the efficiency of energy systems as well as to reduce environmental impacts have been developed for a long time now. However, they often fail to become the usual standards or practices.
This may be due to overcosts which may make these best available technologies not cost-effective compared to other options. However, this is most often due to the lack of project managers who combine both skills (technical and socio-economical), so that they can implement successfully projects to disseminate these technologies.
Therefore, one of the key and original features of the ME3 Masters course is to combine Energy and Environmental Process Engineering together with Management and Social Sciences. It aims at offering a well-balanced education to future engineers and managers having the adequate skills to solve environmental and energy issues through an integrated approach, combining technological development and innovations together with the consideration of human, social and economic constraints.
All the ME3 students follow the Management semester at UPM-Madrid (see detailed syllabus below) at the beginning of the programme. This way all the students of the same cohort have been together for at least one semester.
The arrival of computers and the information age has led to the appearance of large amounts of data in all areas of human knowledge, from biology to astrophysics, finance, marketing … Decisions that are taken in organizations are increasingly based on the conclusions drawn from the analysis of such data. The purpose of this course is to present the most relevant statistical techniques for the modeling and prediction of these large databases, together with relevant applications. The topics covered include linear regression, classification algorithms, resampling techniques, tree models, automatic learning, among others. The focus of the subject is eminently practical, including the use of real examples and their implementation in R, which is the statistical software of reference in this type of problems.
Fundamental objectives of this course’s fundamental are that students became able to:
Complexity and networks: business in an interconnected world is oriented to teach the students some of the basics of the emergent work environment, that has been called network economy or knowledge economy. This new context is dynamic, technological and complex, and requires specific skills to understand the macroeconomic context, the evolution of organizations and the organization of work in knowledge intensive environments. The availability of vast amounts of data (in particular in relation to networks) has been the driving force behind the growth of research in "network science" in recent times. One of the most surprising findings, popularized by Albert-László Barabási, has been that real networks behave in ways quite different from what was assumed according to the traditional theory of networks. Traditionally it was thought that most nodes in a network had an equal number of connections (about average). This has been modeled by random graphs. But recently it has been proven that most of the nodes are very little connected except a few that are very connected (hubs). On the other hand, the incorporation of the incorporation of ICT, Information Technology and Communication, in the day-to-day of organizations, has not only been the basis for the generation of these complex data networks, but also has had an impact at all levels of the organization: strategic, organizational and talent management.
Course aim is to provide a clear and well-structured introduction to financial and management accounting. Classes will be fully participative, based on short practical questions and cases, to allow students to understand the basics of accounting, how to read financial statements, the main cost systems and how to make cost decisions. Students will have access to the slides before the class, to facilitate lecture presentations. The text book is accompanied by a comprehensive support package for lecturers, arranged on a chapter-by-chapter basis comprising of:
The objective of the course is to develop a framework for corporate financial decision-making and provide a solid grounding in the principles and practice of financial management. Classes will be fully participative, based on short practical questions and cases, to allow students to understand the basics of accounting, how to read financial statements, the main cost systems and how to make cost decisions.
The course breaks down into three main sections:
This course is designed as an introduction to the world of industrial marketing and international marketing. The contents will cover:
To familiarize students with some of the unique issues faced by owners of entrepreneurial and family businesses and of working in small and medium enterprises. Examples of topics covered include selection of business form, financing and cash flow planning. Special problems of family businesses include integrating family members into the business, motivating and retaining non-family employees, and business succession strategies.
This course of Research Methodology aims to provide the students with the analytical knowledge and practical skills to understand and use different research methods for their Master of Science thesis. Students will be able to engage themselves in critical readings through debates and open-discussions in the class. In the end of the semester, the students will be able to critically review a scientific article, conduct a literature review and design a research proposal which will help them build required skills for writing a quality thesis.