Historical snapshot — AY2016/2017 Semester 1 · View current offering →
ModsCS2400AY2016/2017 Semester 1
Foundation Of Information Analytics
AY2016/2017 Semester 1
Learning Objective This course will introduce you to the statistical foundations of data science and information analytics for handling of massive databases. The course covers the statistical concepts required for big data analytics, and introduces you to statistical tests and statistical modeling. Content Importance of Statistics; Descriptive Statistics; Probability; Counting Techniques; Discrete Probability Distributions; Normal Distribution; Confidence Intervals; Hypotheses Testing for one Population; Hypotheses Testing for two Populations; Correlation and Linear Regression; Non-linear Regression; Application of Statistics to Data Analytics
| AUs | 3.0 AUs |
| Categories | Core |
| Not Available To Programme | ACBS, ACC, AERO, ASEC, BCE, BCG, BEEC, BIE, BMS, BS, BUS, CBE, CBEC, CE, CEE, CEEC, CHEM, CSC, CSEC, CVEC, ECPP, ECPS, EEE, EEEC, EESS, ELAH, ENE, ENEC, ENG, IEEC, IEM, MAEC, MAT, MATH, ME, ME(DES), ME(MEC), MEEC, MEEC(DES), MEEC(MEC), MS, MS-2ndMaj/Spec(MSB), MTEC, PHY, PSLM, SSM |
| Not Available As BDE/UE To Programme | CS |
| Not Available As Core To Programme | CS(2004-2015) |
| Mutually Exclusive With | CS4036 |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 1630 | 06058 TUT (T1) 1630-1800 Thu LF-LT Wk2-13 | ||||
| 1700 | |||||
| 1730 | COMMON LEC (LE) 1730-1900 Wed LF-LT | ||||
| 1800 | |||||
| 1830 |