This course explores the basic design principles of today's quantum computer systems. In this course, students will learn to work with the IBM Qiskit software tools to write simple quantum programs and execute them on cloud-accessible quantum hardware.

This course explores the basic design principles of today's quantum computer systems. In this course, students will learn to work with the IBM Qiskit software tools to write simple quantum programs and execute them on cloud-accessible quantum hardware.

Learn how to design algorithms, solve computational problems and implement solutions efficiently.

Synthesize your knowledge of algorithms and biology to build your own software for solving a biological challenge.

Learn about data structures that are used in computational thinking – both basic and advanced.

Learn about high-performance data structures and supporting algorithms, as well as the fundamentals of theoretical time complexity analysis through an interactive online text.

Learn how dynamic programming and Hidden Markov Models can be used to compare genetic strings and uncover evolution.

Learn how to use algorithms to explore graphs, compute shortest distance, min spanning tree, and connected components.

Learn how graphs are used to assemble millions of pieces of DNA into a contiguous genome and use these genomes to construct a Tree of Life.

Join us on the frontier of bioinformatics and learn how to look for hidden messages in DNA without ever needing to put on a lab coat.

Understand machine learning's role in data-driven modeling, prediction, and decision-making.

Learn about NP-complete problems, known as hard problems that can’t be solved efficiently, and practice solving them using algorithmic techniques.