加州大學(xué)戴維斯分校計(jì)算機(jī)科學(xué)

Students gain advanced knowledge of algorithms; computational biology; computer architecture; computer graphics and visualization; computer systems design; database systems; computer security; computer networks; program specifications and verification; programming languages and compilers; parallel and distributed systems; operating systems; performance evaluation; scientific computation; and software engineering. Students graduate with the qualitative and quantitative skills necessary for professional research and teaching in computer science.

1、Advanced Design and Analysis of Algorithms

2、Parallel Algorithms

3、String Algorithms and Applications in Computational Biology

4、Graph Theory

5、Computational Geometry

6、Modern Cryptography

7、Cryptography for E-commerce

8、Advanced Computational Structural Bioinformatics

9、Applied Numerical Linear Algebra

10、Advanced Computer Architecture

11、High-Performance Uniprocessing

12、Parallel Architectures

13、Novel Computing Technologies

14、Theory of Computation

15、Design and Analysis of Algorithms

1、高級(jí)算法設(shè)計(jì)與分析

2、并行算法

3、計(jì)算生物學(xué)中的字符串算法及其應(yīng)用

4、圖論

5、計(jì)算幾何

6、現(xiàn)代密碼學(xué)

7、電子商務(wù)加密

8、高級(jí)計(jì)算結(jié)構(gòu)生物信息學(xué)

9、應(yīng)用數(shù)值線性代數(shù)

10、高級(jí)計(jì)算機(jī)體系架構(gòu)

11、高性能單機(jī)處理

12、并行體系結(jié)構(gòu)

13、新興計(jì)算技術(shù)

14、計(jì)算理論

15、算法設(shè)計(jì)與分析