Web-based Workshop: Python for Scientific Computing and TensorFlow for AI
Python for Scientific Computing and TensorFlow for AI
Register here. You will receive an invoice via the email you provide from the University of Pittsburgh.
This 5-day, web-based hands-on workshop will be offered June 7-11. Presented by Dr Stephen Lynch of Manchester Metropolitan University in the U.K. This workshop is designed for anyone in the engineering, computing and scientific community who wants to learn how to use Python for Scientific Computing and TensorFlow for Artificial Intelligence.
No prior knowledge of Python or programming is necessary to benefit from this workshop. The emphasis is on practical applications based on hands-on tutorials using Python and TensorFlow. The emphasis is not on the mathematical theory.
The workshop will cover:
- programing Python using IDLE, Spyder, and Jupyter and Google Colab notebooks
- modeling both continuous and discrete dynamical systems
- modeling in engineering, computing, biology, chemistry, physics and mathematics
- how the brain works relating to artificial intelligence
- programing deep neural networks In Google Colab with TensorFlow
The workshop participants need no knowledge of any programming language. The methods used in this workshop have been successfully tested on undergraduates and postgraduates for over 25 years. The workshop is aimed at a large professional audience: from academics and technicians, advanced undergraduate and graduate students to applied mathematicians, engineers, and researchers in a broad range of disciplines such as biology, chemistry, computing, economics, nonlinear optics, neural networks, population dynamics and physics. We will help to develop a practical understanding of how Python can be used to solve real-world problems and provide scientists with a means of presenting their results.
Dr. Stephen Lynch is a world leader in the use of Maths packages in teaching, learning, assessment, research, and promoting employability. He is an expert programmer in Maple, MATLAB, Mathematica, and Python as well as a STEM ambassador, speaker for schools and a Manchester Metropolitan University Public Engagement Champion. In the research area of Dynamical Systems he is known as the co-inventor of binary oscillator computing. In addition to international workshops, he runs national workshops on "Python for A-Level Maths and Beyond" with the Institute of Mathematics and its Applications in the UK.
View the Python programs online via a Jupyter notebook:
All Python and TensorFlow program files can be downloaded through GitHub: