📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of App Development in Biology, from foundations to a certified capstone project.
Requirements
• Observing the actual lab or field process before specifying anything
• Web, mobile or desktop chosen on where the work physically happens
• Scoping to a tool that gets finished rather than a platform that does not
Data
• Sample, experiment and result entities and the relationships between them
• Standard identifiers and formats — FASTA, FASTQ, ontology terms
• Validation at entry, since biological data is entered by hand more than expected
Building
• Forms designed for gloved hands, small screens and interruption
• Plotting libraries and interactive visualisation of experimental data
• Offline capability and synchronisation for field work without connectivity
Integration
• Calling NCBI, Ensembl and UniProt APIs, with rate limits and caching
• Running or queuing analysis jobs from an application
• Handling long-running tasks without freezing the interface
Sustaining
• Ethics, consent and data protection when human subject data is involved
• Testing, documentation and the abandonment that afflicts research software
• Deployment, citation and handover when the developer leaves the lab
Earn government-registered certification in App Development in Biology
e-Certificate and e-Marksheet issued on successful completion.
