CMP4502 Distributed DatabasesBahçeşehir UniversityDegree Programs MOLECULAR BIOLOGY AND GENETICSGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
MOLECULAR BIOLOGY AND GENETICS
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

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.

Basic information

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.

Learning Outcomes

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

Course Content

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

Weekly Detailed Course Contents

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

Sources

Course Notes / Textbooks: Principles of Distributed Database Systems by M. Tamer Özsu and Patrick Valduriez
References: None

Evaluation System

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

Contribution of Learning Outcomes to Programme Outcomes

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