Humanities & Arts
Humanities & Arts
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.
Duration:
4 weeks
Contact Hours:
52 hours
Evaluation:
Quiz, Project Report, Group presentation
Outcomes:
Programme Certificate, Evaluation Report, Letter of Recommendation
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.
Allison L, USA
"One of my biggest takeaways is that project-based learning is an excellent method for learning! Before this program, I didn't know much about investment and finance, but PBL gave me a way to learn new things while getting help from my team. It was a fantastic learning experience."
Somi J, South Korea
"Participating in this programme not only gave me academic inspiration and knowledge, but also taught me a lot about how to study, think differently, and deliver presentations. These experiences have changed my perspective on projects and how to work on them. I believe that this knowledge, along with the academic knowledge I gained, will be very useful in my future studies or career."
Luke M, China
"I have three words to share: inspiring, interaction, and interchange. It was truly a student-centric experience.
There was a lot of collaboration with my small group during the course, and I formed deep friendships with other fellows during supervisions and social activities."
Learn more
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
Course Features
Duration:
4 weeks
Contact Hour:
52 hours
Evaluation:
Quiz, Project Report, Group presentation
Outcome:
Programme Certificate, Evaluation Report,Letter of Recommendation
An unstoppable trend
Driven by the combination of increased access to data, computational power, and improved sensors and algorithms, artificial intelligence (AI) technologies are entering the mainstream of technological innovation. These AI technologies are already impacting multiple industries, including fintech, deep learning, new materials, healthcare, international policy making, and blockchain.
The course is an introduction to AI from an applied perspective. It begins by introducing basic concepts in machine learning. After an introduction of basic concepts and techniques, the course illustrates the potential and current limitations of these techniques with examples from various applications. Students will explore these ideas in a final project.
What’s life like at a world-renowned university that can trace its roots back to 1209? Join us to find out!
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.
Submit an application
Fill out the application form and submit it along with the supplementary materials to help with the process.
Review of the materials
The admission team reviews the application materials and assesses the applicant's qualifications.
Acceptance of offer
If the applicant is accepted, an offer letter will be sent out with clear guidance on the next steps.
Contracting and Payment
Review and e-sign the programme contract; then, proceed with and complete the payment step
Prepare to depart!
Prepare for the programme by getting all necessary documents and making travel arrangements.
Ellison L, USA
"One of my biggest takeaways is that project-based learning is an excellent method for learning! Before this program, I didn't know much about investment and finance, but PBL gave me a way to learn new things while getting help from my team. It was a fantastic learning experience."
Somi J, South Korea
"Participating in this programme not only gave me academic inspiration and knowledge, but also taught me a lot about how to study, think differently, and deliver presentations. These experiences have changed my perspective on projects and how to work on them. I believe that this knowledge, along with the academic knowledge I gained, will be very useful in my future studies or career."
Luke M, China
"I have three words to share: inspiring, interaction, and interchange. It was truly a student-centric experience.
There was a lot of collaboration with my small group during the course, and I formed deep friendships with other fellows during supervisions and social activities."
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