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GRADUATE STUDIES BULLETIN

    CYS 505 Enterprise Security Architecture

    Credits: 3 (3-1-0)	  Prerequisites:	 CYS504

    This course introduces cybersecurity architecture concepts and

    practices using organizationwide enterprise architecture as context. The

    purpose of a cybersecurity architecture is to ensure that proper levels of

    information confidentiality, integrity, and availability are provided for an

    organization›s information, data, and related assets. The course will show

    how implementation of a cybersecurity architecture can be based on a

    Security Architecture Framework that addresses eight key cybersecurity

    areas to address enterprise and system-level information sharing and

    safeguarding requirements: information security governance, operations

    security, personnel security, information and data security, systems security,

    application development security, infrastructure security, and physical

    security.

    CYS 506 Database Security

    Credits: 3 (3-1-0)	  Prerequisites:	 CYS504

    This course gives an overview of security challenges in all types of databases

    and covers some of the major topics like access control, database integrity,

    digital watermarking, security of distributed database systems.

    CYS 517 CyberSecurity Forensics

    Credits: 3 (3-1-0)	  Prerequisites:	 CYS504

    Provides a general introduction to Cybersecurity Forensics explaining how

    data and evidence may be collected and analyzed. It describes techniques

    for evidence acquisition, traffic analysis, event log analysis. The course also

    touches on intrusion detection, malware forensics analysis and web proxies.

    SE 501 SOFTWARE DEVELOPMENT PROCESSES

    Credits: 3(3-1-0)	   Prerequisite:	 None

    This course will study software development lifecycle models starting

    from the classic waterfall through evolutionary, to recent agile and lean

    methods. The definition of process models, their design issues, as well as

    process improvement methods will be addressed. A special emphasis is put

    on advanced models such as cleanroom and component-based process

    models and on process quality improvement models such as PSP, TSP, and

    CMM.

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