ECTS - Semantic Web Programming
Semantic Web Programming (CMPE567) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
---|---|---|---|---|---|---|---|
Semantic Web Programming | CMPE567 | Area Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Ph.D. |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture. |
Course Lecturer(s) |
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Course Objectives | This course aims to provide the basic overview of what the Semantic Web is and how it can be used. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | XML, resource description language, web ontology language, ontologies and rules, query languages-SPARQL, ontology engineeering, semantic web applications and semantic web services. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Introduction & XML | Lecture Notes |
2 | Resource Description Language-RDF | Lecture Notes Chapter 2 (Text Book 1) |
3 | Resource Description Language-RDF | Lecture Notes Chapter 3 (Text Book 1) |
4 | Web Ontology Language-OWL | Lecture Notes Chapter 4 (Text Book 1) |
5 | Web Ontology Language-OWL | Lecture Notes Chapter 5 (Text Book 1) |
6 | Ontologies and Rules | Lecture Notes Chapter 6 (Text Book 1) |
7 | Ontologies and Rules | Lecture Notes Chapter 7(Text Book 1) |
8 | Query Languages-SPARQL | Lecture Notes Chapter 7 (Text Book 1) |
9 | Query Languages- SPARQL | Lecture Notes Chapter 7 (Text Book 1) |
10 | Ontology Engineeering | Lecture Notes Chapter 8 (Text Book 1) |
11 | Ontology Engineeering | Lecture Notes Chapter 8 (Text Book 1) |
12 | Semantic Web Applications | Lecture Notes Chapter 9 (Text Book 1) |
13 | Semantic Web Services | Lecture Notes |
14 | Semantic Web Services | Lecture Notes |
15 | Review | |
16 | Review |
Sources
Course Book | 1. Foundations of Semantic Web Technologies (Chapman & Hall/CRC Textbooks in Computing) Pascal Hitzler , Markus Krötzsch , Sebastian Rudolph ,Antoniou, G. and F. van Harmelen. 2004. |
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Other Sources | 2. Powers, S. 2003. Practical RDF. Sebastopol, CA: O'Reilly.[ISBN: 0-596-00263-7] |
3. Hebeler, J., Fisher, M., et al., Semantic Web Programming, Wiley, 2009 | |
4. Grigoris Antoniou and Frank van Harmelen, A Semantic Web Primer, 2nd Edition, 2008 The Massachusetts Institute of Technology Press, ISBN: 978-0-262-01242-3 |
Evaluation System
Requirements | Number | Percentage of Grade |
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Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 3 | 30 |
Presentation | - | - |
Project | - | - |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 1 | 35 |
Final Exam/Final Jury | 1 | 35 |
Toplam | 5 | 100 |
Percentage of Semester Work | 65 |
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Percentage of Final Work | 35 |
Total | 100 |
Course Category
Core Courses | X |
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Major Area Courses | |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
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1 | 2 | 3 | 4 | 5 | ||
1 | Ability to carry out advanced research activities, both individual and as a member of a team | |||||
2 | Ability to evaluate research topics and comment with scientific reasoning | |||||
3 | Ability to initiate and create new methodologies, implement them on novel research areas and topics | |||||
4 | Ability to produce experimental and/or analytical data in systematic manner, discuss and evaluate data to lead scintific conclusions | |||||
5 | Ability to apply scientific philosophy on analysis, modelling and design of engineering systems | |||||
6 | Ability to synthesis available knowledge on his/her domain to initiate, to carry, complete and present novel research at international level | |||||
7 | Contribute scientific and technological advancements on engineering domain of his/her interest area | |||||
8 | Contribute industrial and scientific advancements to improve the society through research activities |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 16 | 2 | 32 |
Presentation/Seminar Prepration | |||
Project | |||
Report | |||
Homework Assignments | 3 | 5 | 15 |
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 15 | 15 |
Prepration of Final Exams/Final Jury | 1 | 20 | 20 |
Total Workload | 130 |