Exam 1 Study Guide
Module 1.1
- What is Computational Science?
Module 1.2
- Model Classifications
- probabilistic vs. deterministic
- static vs. dynamic
- continuous vs. discrete
Module 2.2
- Rate of change
- Differential equation for unconstrained growth/decay and its solution
- Difference equation
- Basic simulation
Module 2.3
- Carrying capacity
- Differential equation for constrained growth and its difference equation
Module 4.1
- Community
- Modeling competition
Module 5.2
- Precision
- Magnitude
- Normalized numbers (know how to normalize)
- Absolute/relative error
- Round-off error
- Overflow
- Error propagation
- Truncation error
Other Things to Consider
- Basic R Programming (know how to read the code examples, and what the functions do)
- Reading visual models (the diagrams in the chapters, and what the various pieces mean)
- Answering the relevant Quick Review Questions is recommended