BÄ°L725 - SEMANTIC WEB PROGRAMMING
Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
---|---|---|---|---|---|---|
SEMANTIC WEB PROGRAMMING | BÄ°L725 | Any Semester/Year | 3 | 0 | 3 | 8 |
Prequisites | None. | |||||
Course language | Turkish | |||||
Course type | Elective | |||||
Mode of Delivery | Face-to-Face | |||||
Learning and teaching strategies | Lecture Discussion | |||||
Instructor (s) | Department Responsible (bbm-bologna@cs.hacettepe.edu.tr) | |||||
Course objective | Building semantic web applications | |||||
Learning outcomes |
| |||||
Course Content | Modeling real world - Discovering information -Sharing Semantics - Rules -Semantic web patterns | |||||
References | Semantic Web Programming J. Hebeler, M. Fisher, R. Blace ISBN-10: 047041801X 2009 |
Course outline weekly
Weeks | Topics |
---|---|
Week 1 | Modeling real world |
Week 2 | Modeling real world |
Week 3 | Discovering information |
Week 4 | Discovering information |
Week 5 | Sharing Semantics |
Week 6 | Midterm exam |
Week 7 | Sharing Semantics |
Week 8 | Rules |
Week 9 | Rules |
Week 10 | Rules |
Week 11 | Midterm exam |
Week 12 | Semantic web patterns |
Week 13 | Semantic web patterns |
Week 14 | Semantic web patterns |
Week 15 | Preparation to Final Exam |
Week 16 | Final Exam |
Assesment methods
Course activities | Number | Percentage |
---|---|---|
Attendance | 0 | 0 |
Laboratory | 0 | 0 |
Application | 0 | 0 |
Field activities | 0 | 0 |
Specific practical training | 0 | 0 |
Assignments | 0 | 0 |
Presentation | 0 | 0 |
Project | 0 | 0 |
Seminar | 0 | 0 |
Midterms | 2 | 50 |
Final exam | 1 | 50 |
Total | 100 | |
Percentage of semester activities contributing grade succes | 0 | 50 |
Percentage of final exam contributing grade succes | 0 | 50 |
Total | 100 |
WORKLOAD AND ECTS CALCULATION
Activities | Number | Duration (hour) | Total Work Load |
---|---|---|---|
Course Duration (x14) | 14 | 3 | 42 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Specific practical training | 0 | 0 | 0 |
Field activities | 0 | 0 | 0 |
Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 4 | 56 |
Presentation / Seminar Preparation | 0 | 0 | 0 |
Project | 0 | 0 | 0 |
Homework assignment | 14 | 3 | 42 |
Midterms (Study duration) | 2 | 30 | 60 |
Final Exam (Study duration) | 1 | 40 | 40 |
Total Workload | 45 | 80 | 240 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
D.9. Key Learning Outcomes | Contrubition level* | ||||
---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |
1. Graduates should have a mastery of computer science as described by the core of the Body of Knowledge. | X | ||||
2. Graduates need understanding of a number of recurring themes, such as abstraction, complexity, and evolutionary change, and a set of general principles, such as sharing a common resource, security, and concurrency. | X | ||||
3. Graduates of a computer science program need to understand how theory and practice influence each other. | X | ||||
4. Graduates need to think at multiple levels of detail and abstraction. | X | ||||
5. Students will be able to think critically, creatively and identify problems in their research. | X | ||||
6. Graduates should have been involved in at least one substantial project. | X | ||||
7. Graduates should realize that the computing field advances at a rapid pace. | X | ||||
8. Graduates should conduct research in an ethical and responsible manner. | X | ||||
9. Graduates should have good command of technical terms in both Turkish and English. | X | ||||
10. Graduates should understand the full range of opportunities available in computing. | X | ||||
11. Graduates should understand that computing interacts with many different domains. | X | ||||
12. Graduates should develop the knowledge acquired at master level and apply scientific methods in order to solve scientific problems. | X |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest