RESEARCH TOOLS AND APPLICATIONS II (4 SCU)

Learning outcomes:

Upon completion of the course students are expected to be able to apply appropriate quantitative research tools to their chosen topic on the advance phase, or to fully implement their choice of programming language and platform to build and implement their solution.

Topics:

This course gives the opportunity for the quantitative students to apply and use appropriate research tools at the level of data transformation, conditional, reliability, analysis of variance, chi-square test of independence to their research project. On the other hand, application development students will have the opportunity to inspect their choice of programming language and platforms and implementing them to the research case/ problem on the level of testing and deployment.

Pre-requisite: None