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IT393 COURSE DETAILS


2 Version(s) of this Course

IT393 (Version: 2020 1) COURSE DETAILS (ARCHIVED)


COURSE TITLE EFF YEAR EFF TERM DEPARTMENT CREDIT HOURS
IT393 DATABASE SYSTEMS 2020 1 Electrical Engineering and Computer Science 3.0 (BS=0.0, ET=3.0, MA=0.0)
SCOPE
This course addresses the analysis, design and implementation of relational and non-relational databases. Structured query language (SQL) is covered in depth along with standard problem domain and data modeling techniques. Implementation techniques and considerations are discussed and practiced extensively. Key concepts include analysis and design using a standardized notation such as the unified modeling language (UML), data model to logical schema conversion techniques, normalization, data security, client-server architectures and web-based access to database systems (e.g. XML). Additional advanced topics covered include system security, transaction processing, web data extraction, Big Data, MapReduce framework and key-value stores.
LESSONS: 30 @ 75 min (2.000 Att/wk) LABS: 0 @ 0 min
SPECIAL REQUIREMENTS:
None

IT393 COURSE REQUISITES


TYPE COURSE EFF YEAR EFF TERM TRACK RED BOOK FLG
DISQUALIFIER  
  CS393 2015 1 1 Y
PRE REQUISITE  
  CY300 2018 1 1 Y
  CY305 2017 1 1 Y
  CY300 2018 1 2 Y
  CY355 2017 1 2 Y

IT393 (Version: 2019 1) COURSE DETAILS (ARCHIVED)


COURSE TITLE EFF YEAR EFF TERM DEPARTMENT CREDIT HOURS
IT393 DATABASE SYSTEMS 2019 1 Electrical Engineering and Computer Science 3.0 (BS=0.0, ET=3.0, MA=0.0)
SCOPE
This course addresses the analysis, design and implementation of relational and non-relational databases. Structured query language (SQL) is covered in depth along with standard problem domain and data modeling techniques. Implementation techniques and considerations are discussed and practiced extensively. Key concepts include analysis and design using a standardized notation such as the unified modeling language (UML), data model to logical schema conversion techniques, normalization, client-server architectures and web-based access to database systems (e.g. XML). Additional advanced topics covered include system security, transaction processing, web data extraction, Big Data, MapReduce framework and key-value stores.
LESSONS: 30 @ 75 min (2.000 Att/wk) LABS: 0 @ 0 min
SPECIAL REQUIREMENTS:
None

IT393 COURSE REQUISITES


TYPE COURSE EFF YEAR EFF TERM TRACK RED BOOK FLG
DISQUALIFIER  
  CS393 2015 1 1 Y
PRE REQUISITE  
  CY300 2018 1 1 Y
  CY305 2017 1 1 Y
  CY300 2018 1 2 Y
  CY355 2017 1 2 Y