Dr Yun Kuen Cheung, Australian National University
In the 21st century, the internet has become the primary platform for human economic activities. With millions of transactions occurring every hour, these activities are increasingly automated through the use of algorithms. To effectively design and analyse these algorithms, it is crucial to develop a mathematical understanding of human decision-making processes within economic systems. This understanding forms the foundation of game and market theories, which was established by renowned mathematicians such as John von Neumann and John Nash.
This advanced course covers the mathematical foundations of games and markets, their applications in modeling real-world scenarios, and the analyses of their outcomes.
Week 1: Foundation of Game Theory
Week 2: Foundation of Market Theory
Week 3: Applications of Game and Market Theories
Week 4: Stability and Effciency Analyses
Researchers in this interdisciplinary area have came from diverse backgrounds, including mathematics, computer science, economics, physics and engineering. Students with backgrounds in these disciplines will discover fascinating applications that align with their skill sets throughout this course.
Knowledge in the following subjects is essential:
Knowledge in one or more of the following subjects will be helpful: algorithm design and analysis, dynamical system, machine learning, microeconomics, optimization, stochastic process..
Participation in all lectures and tutorials is expected.
For those completing the subject for their own knowledge/interest, evidence of at least 80% attendance at lectures and tutorials is required to receive a certificate of attendance.
Take this QUIZ to self-evaluate and get a measure of the key foundational knowledge required.