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International Fees

International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.

Course details

​This course offers an in-depth study of Database System Concepts and Architectures including, query processing, query optimization, transaction processing, concurrency control, recovery, parallel databases, distributed databases and access control. Design of storage and file structures including different indexing and hashing organizations are also discussed. ACID (Atomicity, Consistency, Isolation and Durability) property and non-ACID complied database are discussed. Various database languages are discussed including Data Definition Language (DDL) and Data Manipulation Language (DML). Comparative analysis with alternative data models and database systems is conducted. Assignments will reinforce learning through designing and constructing a database from conceptual, to logical model to final physical deployment.

Prerequisite(s)

  • Acceptance into the Bachelor of Science in Applied Computer Science (BScACS) program.

Credits

3.0

Not offered this term
This course is not offered this term. Please check back next term or subscribe to receive notifications of future course offerings and other opportunities to learn more about this course and related programs.

Learning Outcomes

Upon successful completion, the student will be able to:

  • Design effective relational data models and database deployment architectures based on the storage requirements of an application.
  • Facilitate data storage and access by designing suitable SQL statements.
  • Evaluate efficiency of non-relational data models such as extended-relational, object-oriented and JSON/XML in addressing the data storage needs in comparison to relational database systems.
  • Develop storage structures suitable for temporal and spatial data.
  • Use indexes, RAID, query optimizers, and apply schemes such as data partitioning to ensure that data retrieval meets the performance requirements.
  • Use indexes, RAID, query optimizers, and apply schemes such as data partitioning to ensure that data retrieval meets the performance requirements.
  • Apply integrity constraints and other functional dependencies to ensure data integrity.
  • Utilize recovery logs and implement RAID and replicated database architectures for recovery and fault tolerance.
  • Develop native, web and mobile apps that integrate with the database systems to evaluate effectuality of the underlying database in addressing the OLTP requirements.

Effective as of Fall 2019

Related Programs

Database Design (COMP 7071) is offered as a part of the following programs:

School of Computing and Academic Studies

  1. Applied Computer Science (Database Option)
    Bachelor of Science Part-time
  2. Applied Computer Science (Human Computer Interface Option)
    Bachelor of Science Part-time
  3. Applied Computer Science (Network Security Administration Option)
    Bachelor of Science Part-time
  4. Applied Computer Science (Wireless and Mobile Applications Development Option)
    Bachelor of Science Part-time

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