Making difficult choices in business, manufacturing, finance and engineering domains require mathematical knowledge like statistics, optimization, probability, control and modeling. The course emphasizes applying these mathematical tools to solve engineering/business problems though case study. Course Content 1. Finance math basics 2. Statistics, probability and their application in business/engineering decision 3. Data exploration and data mining 4. Optimization methods for decision making 5. Case study for decision making in engineering business
| AUs | 3.0 AUs |
| Grade Type | |
| Prerequisite | |
| Not Available To Programme | REP(ASEN), REP(BIE), REP(CE), REP(CSC), REP(CVEN), REP(EEE), REP(ENE), REP(MAT), REP(ME) |
| Not Available To All Programme With | |
| Not Available As BDE/UE To Programme | |
| 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 |
Other offerings
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