Courses are 4 (quarter) credits unless otherwise indicated in parentheses next to the course title.
ICSC 301 Data Collection and Laboratory Methods
Data collection and testing of scientific hypotheses; a survey of techniques used to quantify information, including methods of measuring and sampling, and potential errors in data collection; laboratory techniques include planning and conducting experiments in the laboratory, developing skills in the laboratory, and controlling experimental, environmental variables.
ICSC 302 Scientific Research and Presentations
Scientific method of discovery; developing a hypothesis and testing, interpretation of the results; proper format for presenting papers in public and in a scientific forum; practical sessions and participation in scientific seminars included.
ICSC 303 Statistics
Prerequisites: ICNS 102 or equivalent
Statistical ideas and concepts, probability and conditional probability, distribution functions, expected value, estimators, good estimators and hypothesis testing.
ICSC 304 Computer for Research
Prerequisite: ICNS 141
Basic knowledge of various platforms of operating systems (DOS, UNIX, WINDOWS), files and data management, basic programming, application packages for statistical analysis and scientific plots, literature search through the on-line library computer system.
ICSC 333 Statistics for Research
Prerequisites: ICNS 102 or equivalent
Design of experiments, collection of data, presentation of data, descriptive statistics, elementary probability, normal distributions, estimation of parameters, hypothesis testing, analysis of variance, regression and correlation, analysis of frequencies, and non-parametric methods.