Business & Finance
Course Structure
Upon completing the foundation module, students will choose one of four 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 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.
AI/Data Science & Society
Understand what constitutes diverse creativities and AI/Data Science, 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.
AI/Data Science & Applications
Discuss applications of AI/Data Science where AI/Data Science techniques are applicable.
Choose One of the Four Tracks
Big Data & Financial Technology
Businesses use AI and big data technologies to improve decision making, pattern analysis, and predictions. Blockchain, originally developed for Bitcoin, is a decentralised database technology that maintains a reliable database through decentralisation and de-trusting. It does not rely on a third party and will have a significant impact on the future business world.
Business Analysis & Entrepreneurship Innovation
Businesses use AI technology to improve decision making, pattern analysis, and predictions. AI is also impacting daily life by managing health and well-being, securing finances, and curating access to entertainment. There are many high-growth businesses that have emerged using AI innovations, such as Deepmind and JukeDeck. In the future, it is likely that every new business will rely on AI to be viable.
Quantitative Finance & Investment
Quantitative finance is a key development in financial engineering. It has rapidly improved and matured from academic to practical use worldwide, and is widely used in securities, insurance, banks and government regulatory departments. In China, it is becoming increasingly prevalent in the financial industry due to reforms, innovation, and the development of computer science.
Leadership & Business Management
The use of AI will greatly increase in the coming decade as industries transform to take advantage of its capabilities. Business leaders need to understand and take advantage of the opportunities AI offers. AI applications in business can improve relationships, find patterns, and perform repetitive tasks. Embracing AI in business can lead to individual and organisational success.
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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.
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
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