The objective of this course is to introduce the concept of statistics and probability in engineering. It helps students to obtain correct interpretation from data collected and construct models for performance prediction. Key topics taught: 1. Probability and probability distributions 2. Sampling distributions 3. Point estimation 4. Confidence intervals 5. Hypothesis testing 6. Regression
| Academic Units | 3 |
| Exam Schedule | Not Applicable |
| Grade Type | Letter Graded |
| Department Maintaining | CBE |
| Prerequisites | |
| Not Available to Programme | ACBS, ACC, ADM, AERO, AISC, ARED, ASEC, BACF, BASA, BCE, BCG, BMS, BS, BSB, BUS, CE, CEE, CEEC, CHEM, CHIN, CMED, CNEL, CNLM, COMP, CS, CSC, CSEC, CVEC, DSAI, ECON, EEE, EEEC, EESS, ELH, ELHS, ELPL, ENE, ENEC, ENG, HIST, HSCN, HSLM, IEEC, IEM, LMEL, LMPL, LMS, MACS, MAEC, MAT, MATH, ME(DES), ME(IMS), ME(NULL), ME(RMS), MEEC(DES), MEEC(NULL), MEEC(RMS), MS, MS-2ndMaj/Spec(MSB), MTEC, PESC, PHIL, PHY, PLCN, PLHS, PPGA, PSY, REP(ASEN), REP(CE), REP(CSC), REP(CVEN), REP(EEE), REP(ENE), REP(MAT), REP(ME), ROBO, SCED, SOC, SPPE, SSM |
| Not Available as BDE/UE to Programme | REP(BIE), REP(CBE) |
| Index | Type | Group | Day | Time | Venue | Remark |
|---|
0930
1030
1130
1230
1330
1430
1530
1630
1730
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