|
| Course Content |
Time Allocated |
| L |
T |
P |
A |
Simple linear regression
|
5 |
|
2 |
|
Matrix approach for linear regression
|
4 |
|
|
|
Polynomial regression
|
3 |
|
2 |
|
Multiple linear regression
|
3 |
|
2 |
|
The examination of residuals
|
4 |
|
2 |
|
Selecting the 'best' regression equation
|
2 |
|
2 |
|
Model validation
|
1 |
|
|
|
Use of dummy variables in regression
|
2 |
|
2 |
|
| Total = 24 + 0.5*12 = 30 |
24 |
|
12 |
|
| |
| Assessment |
Percentage Mark |
| Continuous Assessment |
|
40 |
| Assignment |
40 |
|
| Course work |
|
|
| Written Examinations |
|
60 |
| Mid-Semester |
|
|
| End of Semester |
60 |
|
|
Notation Used :
L - Lectures
T - Tutorials
P - Practical works
A - Assignments |