What topics the Bioinformatics Course Lectures included for study?

This techniques for mining the large amount of information produced by biology, like genome sequencing and microarrray technologies.
Course lectures may include topics:
Introduction to Bioinformatics

Introduction to biology, biological databases, and high-throughput data sources. Overview of bioinformatics problems.

Pairwise sequence alignment algorithms: Dynamic programming

Statistical significance of alignments - Part I
Statistical significance of alignments - Part II

Suffix Trees, Suffix Arrays

Patterns, Profiles, and Multiple Alignments

Hidden Markov Models

Multiple Sequence Alignment Algorithms

Introduction to protein structures
Structure Prediction

Protein Structure Prediction

Structural Alignment of Proteins

Microarray data normalization, analysis
Clustering techniques

Introduction to Systems Biology
Gene regulatory networks

Construction and Analysis of protein networks:
Monte Carlo Sampling, Random Walks on Graphs