📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of AI-Powered Synthetic Biology & Microbiome Engineering, from foundations to a certified capstone project.
Design
• Promoters, RBS, terminators and part characterisation with standard units
• Circuit topologies: switches, oscillators and logic gates
• Design-build-test-learn as an engineering cycle rather than a slogan
Prediction
• Models for promoter strength and expression prediction
• Protein engineering with sequence models and directed evolution data
• Codon optimisation and its frequently overstated benefits
Hosts
• Chassis selection and burden on host physiology
• Genome-scale models and flux balance analysis for pathway design
• Strain optimisation and adaptive laboratory evolution
Communities
• Community composition, stability and invasion resistance
• Engineered consortia and division of metabolic labour
• Containment, biocontainment strategies and horizontal gene transfer risk
Governance
• Biosafety levels, institutional review and dual-use research of concern
• Regulatory frameworks for engineered organisms and environmental release
• Documentation, sharing standards and responsible publication
Earn government-registered certification in AI-Powered Synthetic Biology & Microbiome Engineering
e-Certificate and e-Marksheet issued on successful completion.
