Page 127 - Buku_Panduan_Program_SME_Versi BI_Sesi_20172018

STATISTICAL COMPUTING

EIE3005 STATISTICAL COMPUTING
3 Credits

Pre-requisite None

Learning At the end of this course, the students are able to:
Outcomes
1. summarize statistical information from databases ;
2. construct procedures for statistical analysis using selected computer languages;
and
3. apply statistical analysis and graphical analysis on real data set.

Synopsis This course exposes student to the use of programmeming to extract statistical
information from databases. Programmeming concepts and databases are taught
using computer software. Programmeming concepts include topics like data types,
programmeming structure, built in functions and programmemer defined
procedures. Database concepts include database development, records, data
manipulation, reporting and queries. These concepts are used to develop an
information system that links programmemes to databases.

References 1. Alain F. Zuur et al. (2009). A Beginner’s Guide to R. Springer.
2. Horton, N.J. & Horton, N.J. & K. (2011). Using R for Data Management,
Statistical Analysis, and Graphics. Taylor and Francis Group.
3. Phil Spector (2008). Data Manipulation with R. Springer.
4. W. John Braun and Duncan J. Murdoch (2007). A First Course in Statistical
Programming with R. Springer.
5. A. Ohri (2012). R for Business Analytics. Springer.

Soft Skills CS1, CS2, CS4

Assessment Continuous Assessment : 50%
Final Examination : 50%

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