MOLECULAR BIOLOGY AND GENETICS | |||||
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 | Spring 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) | Utilize the wealth of information stored in computer databases to answer basic biological questions and solve problems such as diagnosis and treatment of diseases. | 3 |
2) | Acquire an ability to compile and analyze biological information, clearly present and discuss the conclusions, the inferred knowledge and the arguments behind them both in oral and written format. | 4 |
3) | Develop critical, creative and analytical thinking skills. | 5 |
4) | Develop effective communication skills and have competence in scientific speaking, reading and writing abilities in English and Turkish. | 3 |
5) | Gain knowledge of different techniques and methods used in genetics and acquire the relevant laboratory skills. | 4 |
6) | Detect biological problems, learn to make hypothesis and solve the hypothesis by using variety of experimental and observational methods. | 4 |
7) | Gain knowledge of methods for collecting quantitative and qualitative data and obtain the related skills. | 3 |
8) | Conduct research through paying attention to ethics, human values and rights. Pay special attention to confidentiality of information while working with human subjects. | 5 |
9) | Obtain basic concepts used in theory and practices of molecular biology and genetics and establish associations between them. | 4 |
10) | Search and use literature to improve himself/herself and follow recent developments in science and technology. | 5 |
11) | Be aware of the national and international problems in the field and search for solutions. | 4 |