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The LF AI & Data Foundation is a project of The Linux Foundation that supports open source innovation in artificial intelligence, machine learning, deep learning and data open source projects. OpenDS4All (Open Data Science 4 All) is one of the projects that is being sponsored by Linux AI & Data.

OpenDS4All is an open source project built to accelerate the creation of data science curricula at academic institutions. Starting a Data Science program from scratch is incredibly difficult, as building a curriculum requires significant resources. By making a “starter set” of training materials, IBM, ODPi and the University of Pennsylvania, working together with cross-industry partners and educators, can help accelerate the availability of skills building programs around the world.

The aim of the workshop is to introduce OpenDS4All, an Open Education project that was launched during 2020 to accelerate the development of Data Science curricula (at undergraduate or graduate level) for academic institutions. During the workshop, we will review the content of one or two of the modules (hosted on GitHub) and show how to construct various curricula from the educational modules that covers the core of Data Science. Each educational module contains a set of PowerPoint slides and most modules have an accompanying Jupyter notebook with Python code showing how the discussed theory can be applied in practice. The workshop will include a hands-on component showing how the notebooks can be executed in several environments, such as Binder and Watson Studio.

SWT Leaders:

Andre de Waal (Primary Contact)
IBM and Chair of Technical Steering Committee, OpenDS4All project at Linux Data & AI
Andre.dewaal@ibm.com

Haluk Demirkan
University of Washington Tacoma
haluk@uw.edu

Open and premium quantum computing systems have been available on the cloud since 2016. Since then, over 300,000 people have registered to use quantum systems via the online IBM Quantum Experience. They have run over 750 billion circuits on real quantum hardware. Software developers have downloaded the open-source Qiskit quantum software development kit over 500,000 times. Thousands of students have learned to code with Python and Qiskit through events like the Qiskit Global Summer School.

Researchers and technologists are working on algorithms and approaches for industries as diverse as aerospace, automotive, banking, capital markets, chemicals, energy, insurance, and manufacturing. Quantum computing intersects disciplines like AI, engineering, computer science, physics, mathematics, chemistry, and quantitative finance.

In this interactive tutorial, we’ll give you an update on the technology, the road map ahead, and how you should start integrating quantum computing into your teaching and work. It is open to all, and attendees of the 2020 event will learn of the many exciting developments that have since taken place.

Agenda

  • Introduction and Welcome
  • The “What” and “Why” of Quantum Computing
  • An Introduction to Python Coding with Qiskit
  • Quantum Computing: Roadmap for the Future
  • Preparing the Quantum Computing Workforce of the Future

SWT Leaders:

JoAnn Winson (Primary Contact)
IBM Global University Programs
jwinson@us.ibm.com

Bob Sutor
IBM Research
sutor@us.ibm.com

Andrew Wack
IBM
awack@us.ibm.com

Robert Loredo
IBM