Computation has long been an important tool for scientists, but the past two decades have seen a true revolution in the practice of science. Computation, in the form of both simulation and analysis, has joined theory and experimentation as the oft-quoted “third pillar” of science.
This is an applications course highlighting the use of computers in solving scientific problems. You will learn the fundamentals of developing scientific software systems including abstract thinking, algorithmic development, and assessment of computational approaches. You will use a series of open source tools and libraries for data analysis, modeling, and visualization of real scientific problems.
This is an applications course highlighting the use of computers in solving scientific problems. You will learn the fundamentals of developing scientific software systems including abstract thinking, algorithmic development, and assessment of computational approaches. You will use a series of open source tools and libraries for data analysis, modeling, and visualization of real scientific problems.
Instructor:
Cris Cecka
Staff:
Ying Xiong
Andrew Wang
Lectures:
MW[F] 11am-12
Pierce 209
Sections:
F 11am-12
Pierce 209
Office Hours:
M 12pm-1
Cruft 402
W 2pm-3
Maxwell Dworkin 215
SEAS Code Repository
Cris Cecka
Staff:
Ying Xiong
Andrew Wang
Lectures:
MW[F] 11am-12
Pierce 209
Sections:
F 11am-12
Pierce 209
Office Hours:
M 12pm-1
Cruft 402
W 2pm-3
Maxwell Dworkin 215
SEAS Code Repository