Course Structure
Upon completing the foundation module, students will choose one of three tracks to delve deeper into the effects of AI and data science on society and innovation. The course includes group study, PBL method and a group project.
I. Foundation module
Students will choose the Machine Learning or Data Science module to build a foundation for subsequent studies.
II. Application Track
Students will choose from one of the subjects to start their PBL research journey.
III. Academic Literacy Module
A well-established research literacy programme will provide students with effective guidance at every key point.
Data Science & Society
Understand what diverse creativities and Data Science are, and consider how they will affect society in the years to come.
Doing & Thinking Differently
Become familiar with various ways of being, doing and thinking differently.
Data Science & Applications
Discuss applications of AI/Data Science where AI/Data Science techniques are applicable.
Choose One of the Three Tracks
Humanity, Arts & Digital Creativity
"Multiple Creativities" is a potential goal for Artificial Intelligence (AI) in creative fields such as music, architecture, fine arts and science. AI is changing the nature of the creative process, and some experts question how far AI should go in the process. The field of Computational Creativity and the theoretical perspective of post-humanism consider the potential of AI as a creative entity in its own right.
Digital Practice of Law
AI and machine learning can be applied to the law as they both rely on historical examples to infer rules for new situations. The legal services market is large and underdigitised, making it ripe for transformation by AI, which is already happening.
International Relations & Policies
AI poses a challenge for international and national policy making. It raises questions about data security and transnational data coordination and management. This is a new interdisciplinary research area with the goal of ensuring the best use of AI from an international relations and policy-making perspective in the future.
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Name *Email *I'm... *Select an optionMy question is about... *Select an optionMessage *For hundreds of years, new materials were discovered through trial and error, or luck and serendipity. Now, scientists are using artificial intelligence to speed up the process.
We can use databases and computations to quickly map out exactly what makes a material so much stronger or lighter — and that has the potential to revolutionize industry after industry.
Syllabus
- Introduction to Quantum Mechanics and How to use it
- Specific examples of the application of Quantum principles
- Quantum technologies & Quantum computing
What you will learn
- Understand the basic principles of Quantum Mechanics
- Be able to perform simple calculations predicting the behavior of quantum systems
- Appreciate the principle of operation of quantum computers
- Have an understanding of how quantum computers are built and used
Academic Support
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Instructor:
Prof. Raghu Rau
Category:
STAME
Age:
16-18
Course features
Duration: 2 weeks
Max Retakes: 3
Pass Percentage: 90
Lessons: 9
Quizzes: 2
Certificates:
Programme Certificate
Evaluation Report
Recommendation Letter
Cambridge Life
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Course Structure
Build Your Project-Based Learning Experience
I. Foundation Track
Students will choose Machine Learning or Data Science module to build a foundation for subsequent studies.
II. Application Track
Students will choose from one of the above subjects to start their PBL research journey.
III.Academic Literacy Module
A well-established research literacy programme to provide students with effective guidance at every key point.
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