Computer Science

Learn the principles of Agile software development! Discover how a SCRUM team plans a sprint, builds feedback into each cycle, creates retrospectives, and holds daily stand ups.

This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.

Understand blockchain technology and how it can solve business problems. Learn the basics of developing applications with chaincode with this free online course from IBM and earn a certificate.

CS101 is a self-paced course that teaches the essential ideas of Computer Science for a zero-prior-experience audience. Computers can appear very complicated, but in reality, computers work within just a few, simple patterns. CS101 demystifies and brings those patterns to life, which is useful for anyone using computers today.

This course serves as an introduction to modern web application development with JavaScript. The main focus is on building single page applications with ReactJS that use REST APIs built with Node.js. The course also contains a section on GraphQL, a modern alternative to REST APIs.

This course will introduce various interactive tools developed in computer graphics research field with their design rationales and algorithms. Examples include enhancements to graphical user interfaces, authoring tools for 2D drawings and 3D animations, and interactive computer-aided design systems

In this course you'll learn about the tools used by scientists to understand complex systems. The topics you'll learn about include dynamics, chaos, fractals, information theory, self-organization, agent-based modeling, and networks.

An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5.

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library.

This introductory course introduces the novice designer to a systematic and data-driven process cycle of discovery and evaluation, as well as a set of techniques, used to meet a user's needs.

Leicht zugänglicher Einstieg in die faszinierende Welt der Informatik und die Programmierung mit Java.