Computer Science

Introduction to the internal operation of a computer's machine language. Topics include computer architecture, data representation, storage definition, assembler concepts, and instruction formats in an assembler language.

Topics include specialized areas of computer science not otherwise offered. The student's transcript will show the specific topic covered. A maximum of 9 credits of special topics is allowed.

Introduction to, and solid foundation for, computer and network security. Coverage includes basic security principles and standards as well as countermeasures and approaches to meeting computer security requirements. Topics include threat types and characteristics, prevention (user authentication and access control), encryption, and legal and ethical aspects. Various exercises are performed to enhance the student's experience. 

Independent study in computer science under the direction of a faculty member. Topics are selected from recent developments in computer science.

Addresses the fundamentals of ethical hacking.  The course utilizes virtual labs to enhance and supplement the material presented.  Topics include footprinting and scanning; enumeration and system hacking; malware; sniffers, session hijacking and denial of service; web server hacking, web application attacks, and database attacks; IDS, firewalls, and honeypots; physical security and social engineering; cryptographic attacks and defenses; cloud computing and botnets. 

Focuses on the use of the most popular forensics tools and provides specific guidance on dealing with civil and criminal matters relating to the law and technology. Includes discussions on how to manage a digital forensics operation in today's business environment.

Explores secure design principles and techniques for developing software with security in mind. Reviews the security capabilities of information platforms and what is known about common attack methodologies. Examines the security needs of each phase of software development and shows how to organize and shield information to protect privacy and information viability.

Surveys both the principles and practice of cryptography and its application to network security. The course covers cryptography and network security technology as well as the practical applications that have been implemented and are in use to provide network security.  Topics include symmetric and asymmetric ciphers and their underlying mathematical foundations. As time permits, cryptographic data integrity algorithms, mutual trust, and network and internet security may be covered.

Provides experience in a variety of areas of importance when processing massive amounts of data of diverse types. These areas include elements of python, parallel and distributed computing, databases, structured query language (SQL), data interchange formats (JSON), NOSQL, and specific big data tools such as HADOOP, MapReduce, Spark. 

Topics selected from specialized areas of computer science not otherwise offered. Topics include material deemed to be advanced enough to warrant upper division status.  The Student's transcript will show the specific topic covered.  A maximum of 9 credits of special topics is allowed.

Independent study in computer science under the direction of a faculty member. Topics are selected from recent developments in computer science and include material deemed to be advanced enough to warrant upper division status.

Supervised field experience in Computer Science contributing to the student's professional development. Prior approval must be obtained before internship arrangements are completed.