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This online course teaches the fundamental concepts of Blockchain and how to implement them in Python. Learners with prior Python experience will be able to build their own...

This online lecture series presents the theory of fundamental machine learning concepts. Topics covered in the video lectures include: Bayesian theory of optimal decisions...

This is an online lecture taking a practical approach to proving problems can't be solved efficiently (in polynomial time and assuming standard complexity-theoretic assumptions...

This online course explores how Hyperledger Aries, Indy and Ursa add a necessary layer of trust to the Internet, creating and using independent digital identities rooted on...

This online course explores advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include...

This online course explores algorithmics and graph theory using Python.

This is the continuation of Approximation algorithms, Part 1. Here participants will learn linear programming duality applied to the design of some approximation algorithms, and...

In this online course, participants will learn how to organize their code, and why that’s important. They will be using the MVC Design Pattern in the web application...

This online course teaches the fundamental building blocks of programming. The course includes seven modules that show how to write short programs using the Python language. It...

This online course gives an introduction to Swift, a programming language developed by Apple for iOS and macOS.

This online course series gives an introduction to programming in Python for data science, including data analysis and visualization.

This is an online lecture that introduces students to the complexities of working in small, multidisciplinary teams to develop video games. Students will learn creative design...

This online course gives an introduction to the world of cryptography, covering both historical cyphers and modern-day cryptographic techniques.

After this course students will have a solid understanding about systematic debugging, will know how to automate debugging and will have built several functional debugging tools...

This course explores how the effectiveness of software development projects can be pro-actively improved by applying concepts, techniques, and tools from software diagnosis.

This course covers data abstraction, state, and deterministic dataflow in a unified framework with practical code exercises. In the last part of the course, students will...

In this course students will learn to make fluid digital interactive experiences that are suitable for gaming and use the advanced sensor hardware built into the iPhone and...

In this graduate level introduction to the field of computing security, participants will be given an extensive overview of the various branches of computing security. They will...

This online course explores how to analyze data in Python, using multi-dimensional arrays in numpy, manipulating DataFrames in pandas, using SciPy library of mathematical...

This course teaches the principles and concepts involved in the analysis and design of large software systems.