GPMS TRANSPORTAL APPLIED AI COURSES

Exploring AI applications in scientific discovery, healthcare, and space exploration.

Level: Advanced

Prerequisites: Grade 9 AI course

Assessments: Weekly micro assessments, final project assessment

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Week 1 - AI in Scientific Research

Learning Outcome

Understanding AI role in accelerating scientific discoveries.

1.1 AI for analyzing scientific data and making predictions
1.2 AI-assisted drug discovery and genetics research
1.3 AI in environmental studies and climate modeling

Practical Component
Using AI to simulate scientific experiments at Dataviv AI Lab

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Week 2 - AI in Healthcare and Medical Science

Learning Outcome

Exploring AI role in improving medical diagnosis and treatment.

2.1 AI-powered disease detection and medical imaging
2.2 AI in personalized medicine and treatment plans
2.3 AI-powered robotic surgery and healthcare automation

Practical Component
Experimenting with AI-driven medical applications at Dataviv AI Lab

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Week 3 - AI in Space Exploration and Astronomy

Learning Outcome

Understanding AI applications in space research.

3.1 AI in satellite data analysis and space weather prediction
3.2 AI-powered autonomous space rovers and robotics
3.3 AI in deep space communication and extraterrestrial research

Practical Component
Simulating AI-powered space exploration models at Dataviv AI Lab

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Week 4 - AI in Biotechnology and Genetics

Learning Outcome

Exploring AI impact on biology and genetics.

4.1 AI in genome sequencing and genetic modification
4.2 AI-powered bioinformatics and protein structure prediction
4.3 AI in agricultural biotechnology and food security

Practical Component
Using AI tools for genetic and biotech simulations at Dataviv AI Lab

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Week 5 - AI in Nanotechnology and Material Science

Learning Outcome

Understanding AI role in material discovery and nanotech.

5.1 AI-powered design of new materials and compounds
5.2 AI in nanomedicine and drug delivery systems
5.3 AI in energy-efficient materials and sustainability

Practical Component
Experimenting with AI-driven material analysis at Dataviv AI Lab

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Week 6 - AI in Scientific Innovation Project

Learning Outcome

Applying AI to solve a scientific challenge.

6.1 Identifying a real-world scientific problem solvable with AI
6.2 Developing an AI-powered solution
6.3 Presenting findings and project demonstration

Practical Component
Hands-on AI research project at Dataviv AI Lab

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