First Semester
- Econometric Theory
This course deals with the practical and theoretical presentation of the essential set of econometric concepts and tools used for the applied quantitative analysis of problems of social complexity.
- Microeconomic Theory
This course will review the fundamental concepts of microeconomic theory. The central element of this theoretical body is the model of rational decision with and without certainty, whose tools will allow us to develop theories of the consumer and of production. We will also derive partial and general market equilibria, and we will explore some of its faults: monopolies and oligopolies.
- Research Methodology
Through this course students will become familiar with the elements that constitute the scientific method, with special emphasis on their applications in social sciences. It seeks to provide the necessary methodological foundations to carry out its own scientific research.
- Social Neuroscience Methods
- Biological and Cultural Foundation of Human Behavior
This course presents the most current evidence on the biological and cultural foundations of human behavior, its affective psychological system and cognition, deeply rooted in the study of Evolutionary Psychology. It addresses human biological development, the configuration of the individual in terms of the social environment and its phylogenetic inheritance, as well as the configuration of behavior based on all these elements and emotions as regulators of social cognition and behavior in general.
- Evolution of Human Behavior
This course reviews the current principles of Evolutionary Theory to understand in depth the phylogenetic origin and the ultimate reason for the existence of psychological mechanisms at the base of human behavior, with a strong emphasis on affective development as the motivational basis of behavior human It begins with the study of the evolutionary bases of the affective processes in social species, which inspired the work with comparative, ethological, psychophysiological and neuroscientific evidence about heuristics to the base of behavior, which converge in the evolutionary approach of emotions as articulators of human motivation or cognition. The main theoretical-empirical sources of Evolutionary Psychology will be reviewed in a general way, updating the doctoral students in the evidence that sustains the specialization of the mind for social exchange and the prevalent models of emotions and social brain, integrating adaptationist principles to explain the evolution of the structures that make up the human affective and cognitive systems. Particularly, the understanding of the role of the human emotional system for the regulation of the motivational mechanisms of sexual selection that differentiate and model the affect and aggression (adolescent and adult), based on the achievement of the conformation of the reproductive partner, will be deepened.
- Economy and Institutions
This course will address the study of institutions in the social sciences. The focus will be on the origin and effects of different economic, political and social institutions. To the extent that the study of institutions requires consideration of the problem of development in the long term, this course will pay attention to historical processes.
- History of Ideas in Political Philosophy
This course covers the fundamental problems of the philosophy of political economy and the different alternative approaches proposed by the main philosophers who have worked on them. The program focuses on two main issues: the distribution of material goods, rights and freedoms and the location of political power. The course places special emphasis on the work of the most important thinkers of political philosophy and political economy in the twentieth century: Friedrich Havek, Robert Nozick, John Rawls and Michael Sandel.
- Econometric Theory
Second Semester
- Computational Social Sciences Methods
This course focuses on the construction of a database and statistical analysis using the tools of computational social science that require the development of programming, storage and mass data analysis skills.
- Experimental Methods in Social Science
This course presents the methods of experimental economics, and discusses their epistemological foundations.
- Game Theory
The objective of this course is to familiarize students with game theory, which allows modeling and analyzing situations in which agents interact strategically. The types of games covered during the course are: static games with complete and incomplete information, and repeated games with complete and incomplete information, both finite and infinitely repeated.
- Social Networks
The purpose of this course is to familiarize students with the theory of networks and their applications in the measurement and modeling of the relational structure of social systems.
- Computational Models of Social Systems
This course provides the main tools of the agent-based simulation models. These tools are presented through a series of examples from the social and biological sciences. The didactic approach is practical: after each class, students are asked to apply what they have learned by programming simple models.
- Social Neuroscience
This course offers students an analysis of the most relevant topics in the field of social neuroscience. The course begins with a general introduction to fundamental techniques and the most significant findings of behavioral neuroscience. After this, the course explores a wide range of social phenomena that can be examined at multiple levels: the social level (experiences and behaviors), the level of information processing (cognitive and affective processes) and the neural level (brain processes).
- Positive Political Economy
In this course the student is introduced to the formal analysis of political processes. The course makes intensive use of quantitative techniques of empirical analysis and formal modeling. It aims to familiarize the student with modeling techniques based on microeconomic theory and game theory and introduce the student to the study of the relationship between political institutions, the incentives faced by public representatives and the collective decision-making process.
- Evolution of Human Behavior II
This course reviews the current principles of the intersection between anthropology and computational simulation for the discovery of behavior patterns and their evolution over time. It seeks to introduce students to the understanding of behavioral research methods and their evolution that integrate anthropological evidence with computational techniques.
- Computational Social Sciences Methods
Third Semester
- Advanced Methods
In the methods workshops, students will be introduced to the use of a modeling technique or empirical analysis, illustrating through applications, its scope and limitations. In accordance with the research interests, the student will develop their skills in a method through a tutorial work and a practical exercise.
- Advanced Fields
In the workshops of deepening methods, students will be introduced to the use of a modeling technique or empirical analysis, illustrating through applications, its scope and limitations. In accordance with the research interests, the student will develop their skills in a method through a tutorial work and a practical exercise.
- Research Seminars
A research unit may involve the production of an input for an ongoing research to which the student has been incorporated or the progress of a project of its own. Each research unit, as well as the tutorial work in the deepening components, also has a responsible professor who approves the objectives set out in the unit and its subsequent fulfillment.
- Advanced Methods
Fourth Semester
- Research Project
In the research project subject students must demonstrate their qualification to produce supervised knowledge based on the conceptual and methodological training received in the program.
- Research Project
Fifth Semester
- Thesis I
Once the credits leading to the Master of Science in Social Complexity, the qualification exams and the thesis project have been approved, the student begins his thesis work. The thesis, composed of four sequential subjects in which the fulfillment of the partial objectives of the thesis project is evaluated, concludes in a thesis defense before an external committee.
- Thesis I
Sixth Semester
- Thesis II
Once the credits leading to the Master of Science in Social Complexity, the qualification exams and the thesis project have been approved, the student begins his thesis work. The thesis, composed of four sequential subjects in which the fulfillment of the partial objectives of the thesis project is evaluated, concludes in a thesis defense before an external committee.
- Thesis II
Seventh Semester
- Thesis III
Once the credits leading to the Master of Science in Social Complexity, the qualification exams and the thesis project have been approved, the student begins his thesis work. The thesis, composed of four sequential subjects in which the fulfillment of the partial objectives of the thesis project is evaluated, concludes in a thesis defense before an external committee.
- Thesis III
Eigth Semester
- Thesis IV
Once the credits leading to the Master of Science in Social Complexity, the qualification exams and the thesis project have been approved, the student begins his thesis work. The thesis, composed of four sequential subjects in which the fulfillment of the partial objectives of the thesis project is evaluated, concludes in a thesis defense before an external committee.
- Thesis IV
- Research Methods
- Disciplinary Fields
- Research work
- Doctoral Tesis
This course offers students a theoretical and practical approach to the experimental methods used in cognitive and social neuroscience experiments in humans. It seeks students to achieve advanced theoretical knowledge of human neuroscience study techniques, as well as intermediate knowledge of data analysis and acquisition.