PSYCHOLOGY | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
CMP4502 | Distributed Databases | Fall | 3 | 0 | 3 | 6 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Dr. Öğr. Üyesi TARKAN AYDIN |
Recommended Optional Program Components: | None |
Course Objectives: | Communication paradigms: client/server protocols, remote procedure call (e.g., Java RMI), multicast protocols handling asynchronous communication and failures. Distributed transaction management requires enhanced concurrency control methods. Comparing algorithms proposed by researchers and commercial solutions. Replicating data to increase fault-tolerance and the performance of databases. |
The students who have succeeded in this course; 1. Be able to understand Distributed computing systems, their characteristics, and desired functionality 2. Become familiar with Distributed computer system models and architectures 3. Be able to understand Synchronization 4. Be able to understand Replication 5. Be able to use distributed naming 6. Be able to understand Fault-tolerance |
1.Introduction 2.DDBMS Architecture 3.Distributed Database Design 4.Semantic Integrity Control 5.Query decomposition and data localization 6.Optimization of Distributed Queries 7.Transactions 8.Concurrency Control 9.Reliability |
Week | Subject | Related Preparation |
1) | Introduction: syllabus, administration and organization of the course, general introduction in distributed DBMS | None |
2) | DDBMS Architecture: definition of DDBMS architecture, ANSI/SPARC standard, global, local, external, and internal schemas, DDBMS architectures, components of DDBMS | None |
3) | Distributed Database Design: conceptual design (what can be distributed, design patterns), top-down, bottom-up patterns, technical design (fragmentation, allocation and replication of fragments, optimality, heuristics) | None |
4) | Semantic Integrity Control: view management, security control, integrity control | None |
5) | Semantic Integrity Control: view management, security control, integrity control | None |
6) | Midterm Exam 1 | Review all the topics |
7) | Query decomposition and data localization: normalization, analysis, elimination of redundancy, rewriting, reduction for HF, reduction for VF | None |
8) | Optimization of Distributed Queries: basic concepts, distributed cost model, database statistics | None |
9) | Optimization of Distributed Queries: ordering of joins and semijoins, query optimization algorithms, INGRES, System R, hill climbing | None |
10) | Transactions: introduction to transactions, definition and examples, properties, classification, processing issues, execution | None |
11) | Midterm Exam 2 | Review all the topics |
12) | Concurrency Control: definition, execution schedules, examples, locking based algorithms, timestamp ordering algorithm, deadlock management | None |
13) | Reliability: definitions, basic concepts, local recovery management, distributed reliability protocols | None |
14) | Reliability: distributed reliability protocols, 2PC protocol | None |
Course Notes / Textbooks: | Principles of Distributed Database Systems by M. Tamer Özsu and Patrick Valduriez |
References: | None |
Semester Requirements | Number of Activities | Level of Contribution |
Project | 1 | % 10 |
Midterms | 2 | % 40 |
Final | 1 | % 50 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 40 | |
PERCENTAGE OF FINAL WORK | % 60 | |
Total | % 100 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | To develop an interest in the human mind and behavior, to be able to evaluate theories using empirical findings, to understand that psychology is an evidence-based science by acquiring critical thinking skills. | |
2) | To gain a biopsychosocial perspective on human behavior. To understand the biological, psychological, and social variables of behavior. | |
3) | To learn the basic concepts in psychology and the theoretical and practical approaches used to study them (e.g. basic observation and interview techniques). | |
4) | To acquire the methods and skills to access and write information using English as the dominant language in the psychological literature, to recognize and apply scientific research and data evaluation techniques (e.g. correlational, experimental, cross-sectional and longitudinal studies, case studies). | |
5) | To be against discrimination and prejudice; to have ethical concerns while working in research and practice areas. | |
6) | To recognize the main subfields of psychology (experimental, developmental, clinical, cognitive, social and industrial/organizational psychology) and their related fields of study and specialization. | |
7) | To acquire the skills necessary for analyzing, interpreting and presenting the findings as well as problem posing, hypothesizing and data collection, which are the basic elements of scientific studies. | |
8) | To gain the basic knowledge and skills necessary for psychological assessment and evaluation. | |
9) | To acquire basic knowledge of other disciplines (medicine, genetics, biology, economics, sociology, political science, communication, philosophy, anthropology, literature, law, art, etc.) that will contribute to psychology and to use this knowledge in the understanding and interpretation of psychological processes. | |
10) | To develop sensitivity towards social problems; to take responsibility in activities that benefit the field of psychology and society. | |
11) | To have problem solving skills and to be able to develop the necessary analytical approaches for this. | |
12) | To be able to criticize any subject in business and academic life and to be able to express their thoughts. |