Bio-Data Engineering

한국과학기술원
이도헌

페이스북 트위터 카카오톡 네이버밴드 링크복사

주제분류

공학 >컴퓨터ㆍ통신 >컴퓨터과학
강의학기

2012년 1학기

조회수

2,858

This course introduces essential concepts and techniques in data engineering fdeveloping bio-information systems. Essential data engineering techniques including operating systems, programming languages, database systems and artificial intelligence are explained. Students are required to develop their own bio-information systems to consolidate their understanding on those techniques.

차시별 강의

1.	Orientation and Introduction	Introducing course outlines
2.	Bio-Information Resources	Big data challenges in bio-data mining
3.	Data Dase Design	Several steps and tips for designing data
4.	Entity-Relationship Diagrams	Designing entity-relationship diagram for datas
5.	Relational Data Model	Terminologies and mathmatical definition related to relational data model
6.	Relational Algebra	Data language and algebra, algebra operations
7.	Transforming ER to Relational Schema	Removing multivalued/composite attributes, generalization and weak entities
8.	SQL DDL	SQL data definition language
9.	SQL DML	SQL data manipulation language
10.	Data Storage	Representing and storing various data
11.	Data Manipulation	Instructions and architecture of machine language
12.	Operating Systems	Basic concepts and components of operating system and process
13.	Networking	Connection, communication, and security of networks
14.	Programming Languages	Evolution and examples of programing languages
15.	Data Mining	Definition and types of data mining with related clustering/classification techiniques