| Course Type | Elective Course |
|---|
| Course Level | Master's Degree With Thesis |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 10 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Know fundamentals of digital technology.
- Know textual, audio, image, and video data representations.
- Describe lossless and losy compression algorithms.
- Describe main components of traditional and content-based retrieval systems.
- Know data structures and techniques for similarity-based search.
- Perform performance evaluations of information retrieval systems.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | Fundamental Concepts of Digital Technology. Textual Data Representation. Audio/Visual Data Representation and Processing Compression Algorithms. Traditional Information Retrieval Systems. Content-based Information Retrieval Systems. Efficient Data Structures and Techniques for Similarity Searching. Evaluating Retrieval Systems. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Fundamental Concepts of Digital Technology |
|
2nd Week |
Textual Data Representation |
|
3rd Week |
Textual Data Representation |
|
4th Week |
Audio/Visual Data Representation and Processing |
|
5th Week |
Audio/Visual Data Representation and Processing |
|
6th Week |
Compression Algorithms |
|
7th Week |
Compression Algorithms |
|
8th Week |
Mid-term |
|
9th Week |
Traditional Information Retrieval Systems |
|
10th Week |
Content-based Information Retrieval Systems |
|
11th Week |
Content-based Information Retrieval Systems |
|
12th Week |
Efficient Data Structures and Techniques for Similarity Searching |
|
13th Week |
Evaluating Retrieval Systems |
|
14th Week |
Evaluating Retrieval Systems |
|
| Recommended or Required Reading | 1. Subrahmanian, V.S., "Principles of Multimedia Database Systems", MKP, (1998)
2. Lu, G., "Multimedia Database Management Systems", Artech House, (1999).
3. Burg. J., "The Science of Digital Media", Prentice Hall, (2009).
|
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Questions/Answers
- Presentation
- Practice
- Problem Solving
- Project
- Report Preparation
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Assignment |
1 |
10 |
| Project |
1 |
20 |
| Total(%) |
|
60 |
| Contribution of In-term Studies to Overall Grade(%) |
|
60 |
| Contribution of Final Examination to Overall Grade(%) |
|
40 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
14 |
11 |
154 |
| Preparation for Final exam |
1 |
69 |
69 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
44 |
44 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
|
|
|
| Total Work Load | 313 |
| Total Work Load / 30 (h) | 10.43 |
| ECTS Credit of the Course | 10 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
