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: ...

The course builds on the foundation laid by the first course of the Specialization called “Introduction to Programming with MATLAB.” It covers more advanced programming concepts such as recursion, ...

Quantum Algorithms Prerequisites Undergraduate algorithms (CSCI 3104), data structures (CSCI 2270), discrete mathematics (CSCI 2824) and two semesters of calculus, or equivalents. We will assume that ...

Course Objectives: A broad and robust understanding of computer science and programming How to think algorithmically and solve programming problems efficiently Concepts like abstraction, algorithms, ...

Machine learning, including decision trees, neural nets, hill climbing, genetic algorithms COURSE OBJECTIVES: After this course, students should be able to Articulate key problems, both technical and ...

This course is about reinforcement learning, covering the fundamental concepts of reinforcement learning framework and solution methods. The focus is on the underlying methodology as well as practical ...

The course addresses a variety of topics, including the impact of sample size on accuracy; the intersection between attempts to de-pbias algorithms and anti-discrimination laws that prevent the ...