Introduction to Genomic Technologies Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This course offers a comprehensive introduction to genomic technologies, designed for beginners interested in the intersection of biology and data science. You'll gain foundational knowledge in molecular biology, sequencing technologies, computing principles, and data science methods used in genomics. With a total time commitment of approximately 6 hours, the course features structured modules that build progressively, combining theory with practical applications. By the end, you’ll be equipped with core skills in bioinformatics and genomic data analysis, ideal for advancing into related careers or further study.
Module 1: Overview
Estimated time: 2 hours
- Introduction to genomics and genomic data science
- Basics of molecular biology: DNA, RNA, transcription, translation
- Understanding the genome and DNA structure
- Exploration of the Central Dogma of Molecular Biology
Module 2: Measurement Technology
Estimated time: 1 hour
- Polymerase Chain Reaction (PCR) techniques
- Next-generation sequencing methods
- Applications of sequencing in genomics
Module 3: Computing Technology
Estimated time: 1 hour
- Foundations of computer science relevant to genomics
- Algorithms, data structures, and software engineering principles
- Introduction to computational biology software
Module 4: Data Science Technology
Estimated time: 2 hours
- Reproducibility and statistical analysis in genomics
- Experimental design, confounding factors, and sample size considerations
- Understanding correlation, causation, and degrees of freedom
Module 5: Final Project
Estimated time: 2 hours
- Apply genomic concepts to a real-world dataset
- Perform basic analysis using learned data science techniques
- Submit a short report summarizing findings and methodology
Prerequisites
- Basic understanding of biology
- Familiarity with computers and internet navigation
- No prior programming experience required
What You'll Be Able to Do After
- Understand the fundamentals of molecular biology and genomics
- Explain key next-generation sequencing technologies
- Apply computing concepts to genomic data analysis
- Conduct basic statistical analysis on genomic datasets
- Prepare for roles in bioinformatics, genomics, or data science research