Topic

No. of hours

Lecture

Tutorial/Practical

Review of generic algorithmic techniques and algorithm complexity analysis.

3

3

-

Review of biologic background.

3

3

-

Motiffinding problem and searching techniques.

6

6

-

Genome rearrangements and greedy/approximation algorithms.

3

3

-

Sequence alignments and dynamic programming algorithms.

6

6

-

Graph algorithms for DNA/protein sequencing problems.

3

3

-

Combinatorial Pattern Matching.

6

6

-

Clustering algorithms and Evolutionary trees.

3

3

-

Hidden Markov Models.

3

3

-

Randomized Algorithms.

6

6

-