 As we watch the news each day, many of us ask ourselves why people can't cooperate, work together for economic prosperity and security for all against war. Why can't we come together against the degradation of our environment? But in strong contrast to this, the central question in the study of human evolution is why humans are so extraordinarily cooperative as compared with many other creatures. In most primate groups, competition is the norm, but humans form vast complex systems of cooperation. Humans live out their lives in societies, and the outcomes to those social systems and our individual lives is largely a function of the nature of our interaction with others. A central question of interest across the social sciences, economics, and management is this question of how people interact with each other and structures of cooperation and conflict that emerge out of these. Of course, social interaction is a very complex phenomenon. We see people form friendships, trading partners, romantic partnerships, businesses compete in markets, countries go to war, the list of types of interaction between actors is almost endless. For thousands of years, we have searched for the answers to why humans cooperate or enter into conflict by looking at the nature of the individuals themselves. But there is another way of posing this question. Where we look at the structure of the system where an agents interact and ask how does the innate structure of that system create the emergent outcomes. The study of these systems is called game theory. Game theory is the formal study of situations of interdependence between adaptive agents and the dynamics of cooperation and competition that emerge out of this. These agents may be individual people, groups, social organizations, but they may also be biological creatures, they may be technologies. The concepts of game theory provide a language to formulate, structure, analyze, and understand strategic interactions between agents of all kind. Since its advent during the mid 20th century, game theory has become a mainstream tool for researchers in many areas, most notably economics, management studies, psychology, political science, anthropology, computer science, and biology. However, the limitations of classical game theory that developed during the mid 20th century are today well known. Thus, in this course, we will introduce you to the basics of classical game theory while making explicit the limitations of such models. We will build upon this basic understanding by then introducing you to new developments within the field such as evolutionary game theory and network game theory that try to expand this core framework. In the first section, we will take an overview of game theory. We will introduce you to the models for representing games, the different elements involved in a game, and the various factors that affect the nature and structure of a game being played. In the second section, we look at non cooperative games. Here you will be introduced to the classical tools of game theory used for studying competitive strategic interaction based around the idea of Nash equilibrium. We will illustrate the dynamics of such interactions and various formal rules for solving non cooperative games. In the third section, we turn our attention to the theme of cooperation. We start out with a general discourse on the nature of social cooperation before going on to explore these ideas within a number of popular models, such as the social dilemma, tragedy of the commons, and public goods games. Finally, talking about ways for solving social dilemmas through enabling cooperative structures. The last section of the course deals with how games play out over time as we look at evolutionary game theory. Here we talk about how game theory has been generalized to whole populations of agents interacting over time through an evolutionary process to create a constantly changing dynamic as structures of cooperation rise and fall. Finally, in this section, we will talk about the new area of network game theory that helps to model how games take place within some context that can be understood as a network of interdependencies. This course is a gentle introduction to game theory and it should be accessible to all. Unlike a more traditional course in game theory, the aim of this course will not be on the formalities of classical game theory and solving for Nash equilibrium, but instead using this modeling framework as a tool for reasoning about the real-world dynamics of cooperation and competition.