Our Courses
The Radio Sky II: Observational Radio Astronomy
This course covers the principles and practices of radio astronomical observations, in particular with modern interferometers. Topics range from radio telescope technology to the measurement equation to radio interferometric calibration and imaging.
- Course by
- Self Paced
- English
Simulating a Hippocampus Microcircuit
In this course, you will learn to simulate, analyze and visualize hippocampal microcircuits. You will reproduce experimental protocols “in silico” to validate simulated microcircuit behaviors, and leverage the brain simulation platform to gain insights towards parsimonious theories on brain function.
- Course by
- Self Paced
- 20
- English
Simulation Neuroscience
Learn how to digitally reconstruct a single neuron to better study the biological mechanisms of brain function, behaviour and disease.
- Course by
- Self Paced
- 6
- English
Building expertise on developing sustainable and resilient infrastructure
This course provides knowledge, builds expertise and provides tools on the planning, financing, procurement and contracting of sustainable and resilient infrastructure projects.
- Course by
- Self Paced
- 6
- English
Java Programming Fundamentals
Your career as a program developer starts here. Gain entry-level programing skills in Java language, and prepare yourself to handle any task that is required in any programming job.
- Course by
- Self Paced
- English
Introduction to Energy Management Powered by RETScreen
The objective of this MOOC is to help organizations combat climate change through effective energy management. It explains proven strategies to reduce greenhouse gases and encourage the transition to a low carbon economy. It also provides an introduction to RETScreen Expert – the world’s leading software to empower cleaner energy decisions.
With practical examples and applications, learn how to make the management of energy more efficient, cleaner and more sustainable.
- Course by
- Self Paced
- English
UX Research
In this MOOC you will learn how to connect with users at every step of a digital product’s life and how to develop empathy and recognize insights that will nourish the design and evaluation processes.
- Course by
- Self Paced
- 10
- English
UX Design
Master Design Thinking and UX Design through user-centred design to deliver innovative user experiences. Learn divergent ideation methods to bring creativity to problem-solving, and convergent ideation methods to innovate within your business context.
- Course by
- Self Paced
- 10
- English
UX Prototyping
Become a prototyping virtuoso! Master the ability to propel your creative team from scrappy low-tech paper mock-ups to developing high-fidelity interactive prototypes, using the latest industry methods and tools.
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- 10
- English
UX Evaluation: User Testing
Master UX evaluation using a variety of skill sets and methods. Uncover the knowledge of user testing from a guerrilla approach to formal lab evaluations required for compliance tests.
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- Self Paced
- 10
- English
UX Data Analysis
Become a UX data scientist! From qualitative data analysis to big data Web analytics, you will be able to leverage insights from data to make empirically-based recommendations.
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- Self Paced
- 10
- English
UX Management
Be a UX advocate! Lead the gamut of user-centered design activities, while sharing knowledge and ensuring rich collaboration with all stakeholders across the project.
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- Self Paced
- English
Foundations of Data Analytics
Learn the fundamental techniques for data analytics and to be prepared for learning and applying more advanced big data technologies.
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- Self Paced
- English
Data Mining and Knowledge Discovery
Learn how to discover knowledge in data via data mining.
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- Self Paced
- 10
- English
Big Data Computing with Spark
Learn the theory and gain hands-on experience of big data systems, using Spark as the exemplary platform.
- Course by
- Self Paced
- 57
- English
Mathematical Methods for Data Analysis
Learn mathematical methods for data analysis including mathematical formulations and computational methods. Some well-known machine learning algorithms such as k-means are introduced in the examples.
- Course by
- Self Paced
- 21
- English
Computer Vision and Image Processing Fundamentals
Learn about computer vision, one of the most exciting fields in machine learning. artificial intelligence and computer science.
- Course by
- Self Paced
- 10
- English