Carlos III University of Madrid

Topics in this marketing and sales management course include today's client; contemporary sales; CRM, sales technology and analysis; market research and messaging; negotiation and closing; territory organization; recruitment, selection, and training; motivation of sellers; remuneration and evaluation of sales; international sales prospects. NOTE: This course is the same as BUS 152 but taught in the UC3M International School.

This course explores the full data analytics cycle and big data analysis. Topics include: models and technologies for decision-making; descriptive analytics; predictive analytics and data mining; fundamental concepts of neural networks and deep learning; big data specific technologies; emerging trends and impact of business analytics. Students are expected to have previous knowledge of statistics and basic programming skills.

Topics in this course include: conceptual and historical introduction to the evaluation of programs and organizations; purposes and main sources of evaluation; basics of evaluation-- phases, methodology, advantages/limitations, and uses; stakeholders, areas, and levels of evaluation; epistemology and major evaluation approaches; types of evaluation according to different criteria. 

This course provides a study of the major movements, schools, genres, styles, writers and works in the history of cinema. It takes an in-depth look at the meaning of the language of cinema and how it relates to the humanities.

This course explores the quantitative instruments needed to pose and analyze economic problems with the aid of a formal model. Topics include: concepts of matrices and algebra of matrices; analysis of dynamic economic models; differential and difference equations and systems; examination of the qualitative behavior of solutions. 

This course explores the concepts of heuristics and optimization as two means of problem-solving and analysis. Topics include: dynamic programming; linear programming; constrained Boolean satisfiability; constraints programming; search. Pre-requisites: Programming; Algorithms and Data Structures; Discrete Mathematics; Artificial Intelligence.