CMP652 - NEXT GENERATION DATABASE MANAGEMENT SYSTEMS
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| NEXT GENERATION DATABASE MANAGEMENT SYSTEMS | CMP652 | Any Semester/Year | 3 | 0 | 3 | 9 |
| Prequisites | None | |||||
| Course language | English | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion Preparing and/or Presenting Reports Project Design/Management | |||||
| Instructor (s) | Hayri Sever | |||||
| Course objective | This course will cover a number of advanced database management systems, data-centric applications, and Web systems. The specific topics include advanced concurrency control techniques, query processing and optimization strategies for relational database systems, advanced indexing methods, parallel and distributed database systems, next-generation data models, data mining on large databases, data on the web, and topics in data security and privacy. | |||||
| Learning outcomes |
| |||||
| Course Content | New data types. Expanded database functions: data management, object management and knowledge management. Query languages. rule definiton and rule management. Time dimensions in databases. Version concept. Multi media databases. Advanced subjects about database management system implementation techniques. | |||||
| References | ? Database Systems: A Practical Approach to Design, Implementation, and Management, 5/E, by Thomas Connolly and Carolyn Begg, Fifth Edition; published by Addison-Wesley 2010. ? Database Management Systems (3rd edition) - by Raghu Ramakrishnan and Johannes Gehrke, McGraw Hill, 2003. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | New data types |
| Week 2 | Expanded database functions: data management, object management and knowledge management. |
| Week 3 | Query languages |
| Week 4 | Rule Definiton And Rule Management |
| Week 5 | Time dimensions in databases |
| Week 6 | Midterm exam |
| Week 7 | Version concept |
| Week 8 | Multi media databases |
| Week 9 | Database management system implementation techniques. |
| Week 10 | Student presentations |
| Week 11 | Student presentations |
| Week 12 | Student presentations |
| Week 13 | Project presentations |
| Week 14 | Project presentations |
| Week 15 | Study of 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 | 1 | 10 |
| Project | 1 | 30 |
| Seminar | 0 | 0 |
| Midterms | 1 | 20 |
| Final exam | 1 | 40 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 0 | 60 |
| Percentage of final exam contributing grade succes | 0 | 40 |
| 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 | 6 | 84 |
| Presentation / Seminar Preparation | 1 | 30 | 30 |
| Project | 1 | 40 | 40 |
| Homework assignment | 0 | 0 | 0 |
| Midterms (Study duration) | 1 | 20 | 20 |
| Final Exam (Study duration) | 1 | 40 | 40 |
| Total Workload | 32 | 139 | 256 |
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