Bioinformatics Specialization Course Syllabus

Overview: This Bioinformatics Specialization provides a beginner-friendly introduction to computational biology, combining biological concepts with programming applications. The program consists of multiple courses covering genome analysis, algorithmic techniques, and real-world data applications. Each course includes hands-on projects and problem-solving exercises, with optional Honors Track content for deeper coding experience. Total time commitment is approximately 75–90 hours, depending on participation in advanced tracks.

Module 1: Finding Hidden Messages in DNA (Bioinformatics I)

Estimated time: 15 hours

• Investigate DNA replication origins and genome starting points
• Analyze molecular clocks and circadian rhythms at the DNA level
• Identify recurring biological motifs in genomic sequences
• Apply randomized algorithms to detect hidden patterns in DNA
• Use bioinformatics software tools for motif discovery

Module 2: Genome Sequencing (Bioinformatics II)

Estimated time: 17 hours

• Learn principles of genome sequencing and assembly
• Apply computational techniques to reconstruct genomes
• Understand data structures used in genomic analysis
• Analyze bacterial and viral genomes using real data
• Implement algorithms for large-scale sequence analysis

Module 3: Evolutionary Analysis and Comparative Genomics

Estimated time: 12 hours

• Construct evolutionary trees from genomic data
• Compare genomes across species to identify conserved regions
• Explore genome rearrangements and their biological implications
• Apply algorithms to trace evolutionary changes

Module 4: Functional Genomics and Data Analysis

Estimated time: 10 hours

• Interpret functional elements within genomes
• Apply data analysis techniques to biological problems
• Use randomized algorithms for genomic pattern detection
• Gain proficiency with computational tools in functional genomics

Module 5: Bioinformatics Algorithms and Software Tools

Estimated time: 15 hours

• Develop understanding of core bioinformatics algorithms
• Implement sequence alignment and assembly methods
• Utilize software widely used in modern biology
• Engage in algorithmic problem-solving with biological data

Module 6: Final Project

Estimated time: 20 hours

• Analyze a real genomic dataset using learned techniques
• Apply motif-finding, assembly, or evolutionary analysis methods
• Submit a report demonstrating bioinformatics workflow and findings

Prerequisites

• Basic biology knowledge
• Familiarity with computers and online learning platforms
• No prior programming experience required (Honors Track recommends basic Python)

What You'll Be Able to Do After

• Understand the fundamentals of bioinformatics and computational biology
• Sequence and compare genomes to identify disease-related genetic factors
• Apply computational tools and algorithms to solve biological problems
• Construct evolutionary trees and analyze genome rearrangements
• Implement bioinformatics algorithms through hands-on coding (optional Honors Track)