This course will discuss fundamental concepts and tools in discrete mathematics with emphasis on their applications to computer science. Example topics include logic and Boolean circuits; sets, ...

At first pass, it may seem odd for a computer science professor to pen a book about mathematical topics. But a chat with Ömer E?ecio?lu quickly dispels the notion that the fields are that different, ...

Mathematical thinking is crucial in all areas of computer science: algorithms, bioinformatics, computer graphics, data science, machine learning, etc. In this course, we will learn the most important ...

The intersection of machine learning and mathematical logic — spanning computer science, pure mathematics, and statistics — has catalyzed recent advances in artificial intelligence and deep learning ...

The Department of Mathematics and Computer Science offers major programs leading to the bachelor of science in mathematics or the bachelor of science in computer science, as well as required and ...

Data science is more than a hot tech buzzword or a fashionable career; in the century to come, it will be an essential toolset in almost any field. Tomorrow’s data scientists will need to combine a ...

Engage in a substantial piece of group research, culminating with the possible production of a paper, as well as a final conference-style presentation. You'll have access to the latest hardware, ...

The graduate programs in engineering from Drexel University prepare professionals for applying deepened knowledge that will further their career in research or industry. Students emerge prepared to ...

The curriculum for the Bachelor of Arts degree in Computer Science is based on current recommendations of the Association for Computing Machinery (ACM) for liberal arts institutions. The program is ...

Computing is part of everything we do. Computing drives innovation in engineering, business, entertainment, education, and the sciences—and it provides solutions to complex, challenging problems of ...