Faculty Of Engıneerıng
Computer And Software Engıneerıng
Course Information
| ADVANCED DATABASES | |||||
|---|---|---|---|---|---|
| Code | Semester | Theoretical | Practice | National Credit | ECTS Credit |
| Hour / Week | |||||
| CSE316 | Spring | 3 | 0 | 3 | 4 |
| Prerequisites and co-requisites | None |
|---|---|
| Language of instruction | English |
| Type | Elective |
| Level of Course | Bachelor's |
| Lecturer | Asst. Prof. Mehmet Ali AKTAŞ |
| Mode of Delivery | Face to Face |
| Suggested Subject | None |
| Professional practise ( internship ) | None |
| Objectives of the Course | 1) Learning about the new trends of advanced database systems 2) Understanding the difference between the different types of data and how to manage them 3) Learning about the features of modern database systems 4) Learning the different emerging query languages and querying paradigm 5) Learning about the new generation of NoSQL database systems |
| Contents of the Course | The data warehousing technologies. The data mining techniques. The XML related technologies. The RDF related technologies. The hierarchical and graph data management techniques. NoSQL database systems. Multi-model database systems. |
Learning Outcomes of Course
| # | Learning Outcomes |
|---|---|
| 1 | The data warehousing technologies |
| 2 | The data mining techniques |
| 3 | The hierarchical and graph data management techniques |
| 4 | NoSQL database systems |
Course Syllabus
| # | Subjects | Teaching Methods and Technics |
|---|---|---|
| 1 | Advanced concepts in Database Systems | Oral presentation, laboratory |
| 2 | Data Warehousing Systems | Oral presentation, laboratory |
| 3 | Data Warehousing Staging Area | Oral presentation, laboratory |
| 4 | Data Mining | Oral presentation, laboratory |
| 5 | XML Related Technologies | Oral presentation, laboratory |
| 6 | XML Schemas and validation | Oral presentation, laboratory |
| 7 | Midterm | Exam |
| 8 | RDF Related Technologies – 1 | Oral presentation, laboratory |
| 9 | RDF Related Technologies – 2 | Oral presentation, laboratory |
| 10 | Graph Databases | Oral presentation, laboratory |
| 11 | NoSQL Database Architecture | Oral presentation, laboratory |
| 12 | NoSQL Types and Examples | Oral presentation, laboratory |
| 13 | NoSQL Performance Analysis | Oral presentation, laboratory |
| 14 | Final Exam | exam |
| 15 | ||
| 16 |
Course Syllabus
| # | Material / Resources | Information About Resources | Reference / Recommended Resources |
|---|
Method of Assessment
| # | Weight | Work Type | Work Title |
|---|---|---|---|
| 1 | 40% | Mid-Term Exam | Mid-Term Exam |
| 2 | 60% | Final Exam | Final Exam |
Relationship between Learning Outcomes of Course and Program Outcomes
| # | Learning Outcomes | Program Outcomes | Method of Assessment |
|---|---|---|---|
| 1 | The data warehousing technologies | 1͵4͵5 | 1͵2 |
| 2 | The data mining techniques | 1͵4͵5 | 1͵2 |
| 3 | The hierarchical and graph data management techniques | 1͵4͵5 | 1͵2 |
| 4 | NoSQL database systems | 3͵4 | 1͵2 |
Work Load Details
| # | Type of Work | Quantity | Time (Hour) | Work Load |
|---|---|---|---|---|
| 1 | Course Duration | 14 | 3 | 42 |
| 2 | Course Duration Except Class (Preliminary Study, Enhancement) | 14 | 2 | 28 |
| 3 | Presentation and Seminar Preparation | 0 | 0 | 0 |
| 4 | Web Research, Library and Archival Work | 0 | 0 | 0 |
| 5 | Document/Information Listing | 0 | 0 | 0 |
| 6 | Workshop | 0 | 0 | 0 |
| 7 | Preparation for Midterm Exam | 1 | 6 | 6 |
| 8 | Midterm Exam | 1 | 2 | 2 |
| 9 | Quiz | 0 | 0 | 0 |
| 10 | Homework | 0 | 0 | 0 |
| 11 | Midterm Project | 0 | 0 | 0 |
| 12 | Midterm Exercise | 0 | 0 | 0 |
| 13 | Final Project | 0 | 0 | 0 |
| 14 | Final Exercise | 0 | 0 | 0 |
| 15 | Preparation for Final Exam | 1 | 10 | 10 |
| 16 | Final Exam | 1 | 2 | 2 |
| 90 | ||||