**ENTITY-RELATIONSHIP MODELS—**How parts of a system fit into the whole- What are the components of a software system and how do those components interface to one another?
**DYNAMICAL MODELS—**Systems defined by difference equations or differential equations- How do metabolite concentrations in a cell change in response to a change in temperature or pH?
- What is the physics of a satellite orbit, considering that the Earth's gravitational field is not quite spherical?
- How do the populations of the different species in an ecosystem relate to one another?
**NETWORK MODELS—**Graphs as system models (i.e. flow shops)- Which micro-RNAs regulate which genes?
**STOCHASTIC MODELS—**Systems defined by uncertainty- What is the likelihood of a sick patient being dead (or healthy) next year?
- What is the likelihood that two particles colliding in the upper atmosphere will chemically react with one another?
SIMULATION:*MARKOV PROCESSES—**Systems whose behavior is dominated by probabilistic state transition*- What are the expected traffic patterns in a new neighborhood?
*DYNAMICAL PROCESSES*—*Systems whose behavior is dominated by time evolution*- Where will the satellite be in two hours?
*DISCRETE EVENT PROCESSES*—*Systems whose behavior is defined by discrete interactions*- How much more likely is a submarine to survive in a sub-to-sub battle if it has a better active detection system?
CONTROL:**PLANNING AND SCHEDULING—**Determining the best actions to take- Given what sensors tell us about the enemy's strongholds, and knowing their facility with decoys, how should we deploy our defenses to withstand an attack?
**OPTIMIZATION—**Determining the best choice amongst a set of possibilities- What is our best corporate spending strategy: should we invest more in advertising, or more in R&D to improve product quality?
S3 Data Science, copyright 2015. |