CDS 101 Midterm Study Guide

Computational Science is the rational examination of the natural world using computational methods

This science involves computers to create models, simulations,programming using math, and test scenarios that is both accurate and primarily cost-effective technology

This is the science of using data methods to make scientific discoveries. looking at trends and analyzing data to make discoveries.

This includes Data mining, visualization, statistics, and web science

Yesterday, there was a few terabytes of data

Today there are many terabytes here

Tomorrow there are 100s of petabytes

The amount of data in our society is growing at an extraordinary rate due to the widespread availability and advancement of technology

There isn't just more data, there are different types of data that we must find an approach to

The system of acquiring knowledge and information through gathering empirical data and observations

A theory can be tested in an experiment in computational data sciences through simulation and modeling using math

Connects experiments back to theory helping analyze and identify trends in data to evaluate theory

The process that leads to a set of facts and is very dynamic meaning its not definite but evolving

Science can be contributed to by anyone

1.Data Collection: observation and characterization 2.Inference: Formulation of a hypothesis 3.Deduction: Formulation of a predictive test 4.Experimental design and testing 5.Error characterization and elimination 6.Review results: Validation and/or Revision of hypothesis

Describing or relating how something looks to you

CDS: Models and Tests Theories and Experiments to generate new data by following scientific method

Data Science: Explores and studies data to find trends or relevant information that is knowledge