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
| AUs | 3.0 AUs |
| Grade Type | |
| Prerequisite | MH1810 |
| 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 To All Programme With | |
| Not Available As BDE/UE To Programme | REP(BIE), REP(CBE) |
| Not Available As Core To Programme | |
| Not Available As PE To Programme | |
| Mutually Exclusive With | |
| Not Offered As BDE | |
| Not Offered As Unrestricted Elective | |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
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