Bio-Computer Engineering
- 한국과학기술원
- 이도헌
페이스북
트위터
카카오톡
네이버밴드
링크복사
-
- 주제분류
- 공학 >컴퓨터ㆍ통신 >컴퓨터과학
-
- 등록일자
- 2010.09.10
-
- 조회수
- 3,935
-
The primary focus of this course is to provide with fundamental and essential understanding of how modern electronic computers work, and what kinds of computer science techniques are available for bioengineering research and development. A biomedical information system for personalized medicine will be designed and implemented for hands-on experiments.
차시별 강의
| 1. | |
Introduction | Introducing course outlines |  |
| 2. | |
DB design steps | Several steps and tips for designing data | |
| 3. | |
ER Diagram | Designing entity-relationship diagram for datas | |
| 4. | |
Relational Model | Terminologies and mathmatical definition related to relational data model | |
| 5. | |
SQLDDL | SQL data definition language | |
| 6. | |
SQLDML | SQL data manipulation language | |
| 7. | |
Data Storage | Representing and storing various data | |
| 8. | |
Data Manipulation | Instructions and architecture of machine language | |
| 9. | |
OS | Basic concepts and components of operating system and process | |
| 10. | |
Network | Connection, communication, and security of networks | |
| 11. | |
Algorithm | Analysis and design of algorithm for efficient program | |
| 12. | |
Program Lang. | Evolution and examples of programing languages | |
| 13. | |
SWEng | Requirements and developments for software engineering | |
| 14. | |
Computer Graphics | Basic techniques for computer graphics | |
| 15. | |
AI | Basic concepts and related examples for artificial intelligence | |
|
Data mining | Definition and types of data mining with related clustering/classification techiniques | |
|
|
Theory Computaion | Algorithm complexity and complexity class of problems | |
연관 자료
