Historical snapshot — AY2022/2023 Semester 1 · View current offering →

Numerical Methods Data Analytics

AY2022/2023 Semester 1

The objective of this course is to introduce the concept of Data Analytics to solve problems encountered in engineering and non-engineering fields. After completing the course, you will be able to use numerical approaches learnt in this course to gain understanding, optimize and make decision from data.

AUs	3.0 AUs
Categories	CoreBDE
Not Available To Programme	ACBS, ACC, ADM, AERO, ARED, ASEC, BCE, BCG, BEEC 1, BEEC 2, BIE 1, BIE 2, BMS, BS, BSB, BSPY, BUS, CBE 1, CBE 2, CBEC 1, CBEC 2, CE, CEE, CEEC, CHEM, CHIN, CNEL, CNLM, CS, CSC, CSEC, CVEC, DSAI, ECMA, ECON, ECPP, ECPS, EEE, EEEC, EESS, ELAH, ELH, ELHS, ELPL, ENE, ENEC, ENG, ESPP, HIST, HSCN, HSLM, IEEC, IEM, LMEL, LMPL, LMS, MACS, MAEC, MAEO, MAT, MATH, ME(DES), ME(NULL), ME(RMS), MEEC(DES), MEEC(NULL), MEEC(RMS), MS, MS-2ndMaj/Spec(MSB), MTEC, PHIL, PHY, PLCN, PLHS, PPGA, PSLM, PSMA, PSY, REP(ASEN), REP(CE), REP(CSC), REP(CVEN), REP(EEE), REP(ENE), REP(MAT), REP(ME), SCED, SOC, SSM
Not Available As BDE/UE To Programme	REP(BIE), REP(CBE)
Exam

Available Indexes

	Mon	Tue	Wed	Thu	Fri
930			COMMON LEC (LE) 0930-1220 Wed LT12
1000
1030
1100
1130
1200