Foundation Of Information Analytics
AY2015/2016 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 | CoreMinorsBDE |
| Not Available To Programme | ACBS, ACC, AERO, ASEC, BCE, BCG, BEEC, BIE, BMS, BS, BUS, CBE, CBEC, CE, CEE, CEEC, CHEM, CSC, CSEC, CVEC, EEE, EEEC, EESS, 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, SSM |
| Mutually Exclusive With | CS4036 |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 1030 | COMMON LEC (LE) 1030-1200 Thu LHS-LT, SCI-TSN | ||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | 07502 TUT (T) 1230-1400 Fri LHS-TR+49 | ||||
| 1300 | |||||
| 1330 |