COURSE GOALS: This course will cover the theoretical aspects of algorithm design and analysis. Starting with a matching problem, we will first discuss the three central tasks of algorithm design: ...

Algorithm design strategies such as divide and conquer. Elementary techniques for analysis; asymptotic analysis, recursion equations, estimation methods, elementary combinatorial arguments.

Bayesian experimental design is a fast growing area of research with many real-world applications. As computational power has increased over the years, so has the development of simulation-based ...

This paper considers the design and analysis of algorithms for vehicle routing and scheduling problems with time window constraints. Given the intrinsic difficulty of this problem class, approximation ...

Getting Started Before you begin the course design process, you will need to determine what the gap or problem you are trying to address with your course is and how it fits into the bigger curriculum ...