No.

T H E
M E S

1

Introduction
to Bioinformatics 
2

Computational
approaches to biological questions 
3

Fuzzy
algorithms and knowledge 
4

Neural networks
and learning 
5

Genetic algorithms
and evolution 
6

Fusion neural
networks and fuzzy logic 
7

Fusion evolutionary
algorithms and fuzzy logic 
8

Fusion evolutionary
algorithms and neural networks 
9

Structure and
function of gene 
10

DNA sequence analysis 
11

Hidden Markov
models 
12

Hidden Markov
models and applications 
13

Prediction of
molecular structure and function 
14

Prediction of
protein structure 
15

Bioinformatics
and biomedical engineering 