Historical snapshot — AY2016/2017 Semester 2 · View current offering →

Foundation Of Information Analytics

AY2016/2017 Semester 2

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

	Tue	Thu
930	COMMON LEC (LE) 0930-1100 Tue LF-LT
1000
1030
1100
1130		COMMON LEC (LE) 1130-1300 Thu LF-LT
1200
1230