| Course Type | Elective Course |
|---|
| Course Level | Bachelor's Degree |
|---|
| Year of Study | 4 |
|---|
| Semester | - |
|---|
| ECTS | 5 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Can understand specific data considerations, regression models, time series and their patterns.
- Can understand basic forecasting models from various time series data.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | NA |
|---|
| Course Description | This course focuses on different forecasting methods, their varying constraints as well as necessary conditions for each method to be applied. Students will also learn to apply these forecasting methods to real world problems using computer applications. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Covariance, Correlation Coefficients |
|
2nd Week |
Introduction to Regression |
|
3rd Week |
Simple Linear Regression Method |
|
4th Week |
Multiple Linear Regression |
|
5th Week |
Applying Multiple Linear Regression |
|
6th Week |
Performance Indicators |
|
7th Week |
Multiple Linear Relationship Problems |
|
8th Week |
Midterm |
|
9th Week |
Introduction to Time Series Analysis |
|
10th Week |
Moving Averages |
|
11th Week |
Exponential Smoothing |
|
12th Week |
Time Series and Regression Applications |
|
13th Week |
Time Series Analysis Computer Applications |
|
14th Week |
Time Series Analysis Computer Applications |
|
| Recommended or Required Reading | Introduction to Time Series Analysis and Forecasting, Yaffee R. A. ve McGee, M. (2000)
Regression Models for Time Series Analysis, Kedem, B., Fokianos, Konstantinos, (2002), (Wiley and Sons)
|
|---|
| Planned Learning Activities and Teaching Methods |
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
40 |
| Quiz |
4 |
10 |
| Total(%) |
|
50 |
| Contribution of In-term Studies to Overall Grade(%) |
|
50 |
| Contribution of Final Examination to Overall Grade(%) |
|
50 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
4 |
2 |
8 |
| Individual or group work |
14 |
4 |
56 |
| Preparation for Final exam |
1 |
20 |
20 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
17 |
17 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
|
|
|
| Quiz |
4 |
1 |
4 |
| Total Work Load | 151 |
| Total Work Load / 30 (h) | 5.03 |
| ECTS Credit of the Course | 5 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
