Course Overview
This course aims to provide researchers with the fundamental knowledge and skills needed to leverage Artificial Intelligence (AI) in scientific research. Participants will explore various AI techniques, learn how to apply them in different scientific domains, and understand their transformative role in accelerating discovery and innovation.
Learning Objectives
- Understand the role of AI in modern scientific research
- Learn key AI methods such as machine learning, deep learning, and natural language processing (NLP)
- Apply AI models to solve problems in various scientific fields (e.g., biology, physics, chemistry)
- Interpret AI models for predictive analysis and decision-making in research
- Explore case studies of AI in science, including drug discovery, genomics, climate modeling, and more
- Gain hands-on experience in using AI tools and frameworks in scientific research
Assessment & Certification
- Assignments: Weekly practical assignments to reinforce AI concepts and techniques
- Project: Final capstone project to demonstrate the application of AI to a real-world scientific research problem
- Quizzes: Regular quizzes to assess theoretical knowledge
- Certification: Certificate of completion for participants who successfully complete all course modules
Prerequisites
- Basic understanding of programming (Python preferred)
- Familiarity with data science concepts (optional but beneficial)