計算生物學-建模與預測

Computaional Biology:Modeling and Prediction

學期

111-1

學分

0 學分

當期課號

430109

永久課號

BTBI30099

開課單位

生物資訊及系統生物研究所

授課教師

何信瑩

校區

博愛

類別

選修

上課時間表

節	週三
7 15:30–16:20	計算生物學-建模與預測 BI302（博愛） 3 節連堂
8 16:30–17:20
9 17:30–18:20

* 根據陽明交大上課時間表所列

概述

The course introduces the basic concepts and methods of mathematic modeling, prediction and analysis, as well as the intelligent computation and applications of computational biology. Some case studies of biological medicien applications are used to illustrate the modeling and prediction technologies. Students can learn and understand the course through step by step homework and a term project.

先修科目

Machine Learning Programming Biological background

備註

無備註

教學方式

教師未提供此項資料

評分方式

Attendance and participation (20%) Assignment (30%) Midterm Exam (20%) Term project (30%)

課程大綱

Introduction to mathematical modeling and applications

○ Machine learning concepts ○ Programming and tools ○ Databases ○ Application examples
Intelligent Evolutionary Algorithms

○ Intelligent Genetic Algorithm ○ Intelligent Multi-Objective Evolutionary Algorithm ○ Inheritable Genetic Algorithm ○ Orthogonal Simulated Annealing ○ Orthogonal Particle Swarm Optimization ○ Evolutionary Fuzzy Classifiers ○ Evolutionary Fuzzy Neural Network ○ Evolutionary Support Vector Machine ○ Evolutionary Hidden Markov Model ○ Evolutionary Cox-regression Model
Applications of Bioinformatics and AI Medicine

○ Microarray and RNA-seq Analysis ○ Signature identification ○ Protein-DNA binding prediction ○ Prediction of enzyme subfamily class ○ AI-assisted prediction system

週次計畫

週次	主題
第 1 週	Machine learning concepts 9/14
第 2 週	Programming and tools Databases 9/21
第 3 週	Application examples 9/28
第 4 週	Genetic Algorithm and optimization AI modeling 10/12
第 5 週	Intelligent Genetic Algorithm Orthogonal Simulated Annealing 10/12
第 6 週	Orthogonal Particle Swarm Optimization Evolutionary Fuzzy Classifiers 10/19
第 7 週	Evolutionary Fuzzy Neural Network Evolutionary Support Vector Machine 10/26
第 8 週	Midterm exam 11/2
第 9 週	Evolutionary Hidden Markov Model Evolutionary Cox-regression Model 11/9
第 10 週	Microarray and RNA-seq Analysis 11/16
第 11 週	Signature identification 11/23
第 12 週	Protein-DNA binding prediction 11/30
第 13 週	AI-assisted prediction system (1) 12/7
第 14 週	AI-assisted prediction system (2) 12/14
第 15 週	Oral presentation of term project 12/21
第 16 週	Oral presentation of term project 12/28

教科書

1. Machine Learning, Tom M. Mitchell, ISBN:0-07-115467-1 2. Introduction to Evolutionary Computing, A.E. Eiben and J.E. Smith, ISBN:3-540-40184-9 3. Pattern Classification, Richard O. Duda, Peter E. Hart and David G. Stork, ISBN:0-471-05669-3 4. Related papers

Office Hours

地點: 賢齊館 412室
時間: Wensday 10:00-12:00
聯絡方式: syho@nctu.edu.tw