Computer Science

  • MET CS 713: Advanced Digital Forensics
    Graduate Prerequisites: MET CS 693 and MET CS 703; or instructor?s consent.
    This course provides an introduction to the advanced digital forensic topic relating to malicious software (malware), which represents an increasing information security threat to computer systems and networks. Students will review software engineering design fundamentals and reverse engineering techniques utilized to conduct static and dynamic forensic analysis on computer systems and networks. Students will learn about the importance of forensic principles, legal considerations, digital evidence controls, and documentation of forensic procedures. This course will incorporate demonstrations and laboratory exercises to reinforce practical applications of course instruction and will require an independent research paper related to the course topic.
  • MET CS 751: Web Services
    Graduate Prerequisites: MET CS 565; or consent of instructor
    Architecture of Web Services; review of XML Shemas; SOAP (Simple Object Access Protocol); WSDL (Web Services Description Language); UDDI (Universal Description, Discovery, and Integration); Web Services in .NET; Sun and Apache tools; Company-specific Web Service API?s; Java API?s for XML Messaging; Java Application Servers; review of Security, transactions, and business process languages (e.g. BPEL) among Web Services.
  • MET CS 755: Cloud Computing
    Cloud computing leverages the World Wide Web to fulfill computing needs. It packages applications, computing power, and storage as a metered service similar to a utility. This model is designed to supplant the traditional mechanism of desktop computing in many cases. This course will cover the origin, theory, enabling technology, and hands-on labs for key concepts in cloud computing. Students will: (1) Learn the unique set of problems and challenges in developing cloud computing applications; (2) Learn the platform, tools, technology and processes for developing cloud computing applications using Hadoop as the main example; and (3) Propose, develop, and run applications for the platforms covered.
  • MET CS 767: Fuzzy, Expert, Genetic, and Neural Systems
    Graduate Prerequisites: MET CS 566; Recommended: students enroll only after taking the MS in computer science core
    Theories and methods for automating the solution of problems with inexact specifications, input, models, or output (e.g., text checkers, help desks). Expert systems, fuzzy methods, neural net architectures, and genetic algorithms are examined and compared. Algorithms and a term project are implemented using shells and C++ or Java. Laboratory course.
  • MET CS 770: Object-Oriented Analysis and Design
    Graduate Prerequisites: Fluency in at least one object-oriented language (C++, or Java, or SmallTalk, or Object-Oriented Visual Basic); and MET CS 605, or MET CS 665, or MET CS 673; or consent of the instructor
    The object-oriented paradigm is key to the predictable development of reliable software-intensive systems. Object-oriented methods consist of languages, distribution, analysis and design. Languages change and so does distribution (the manner in which processing is distributed). Basic to Object-Orientation, however, are Analysis and Design, which have remained remarkably stable. The course emphasizes ways to retain the goals of the object paradigm, the exploitation of use cases, the construction of sequence diagrams, the selection of classes, the relationships among them, and their utilization to implement systems. The course covers the relationship of GUI's to classes, and relates OO Analysis and Design to refactoring.
  • MET CS 773: Software Quality Management
    Graduate Prerequisites: MET CS 673; or instructor?s consent.
    Theory and practice of quality assurance and testing for each step of the software development cycle. Verification vs. validation. Test case design techniques, test coverage criteria, and tools for static and dynamic analysis. Standards. Test-driven development. QA for maintenance and legacy applications. Experimental approaches. 4 credits.
  • MET CS 775: Advanced Networking
    Graduate Prerequisites: MET CS 535; or consent of the instructor
    In-depth coverage of the architecture, interfaces, protocols, and technologies of high-speed broadband networks. Topics include broadband wide-area network (WAN) technologies such as gigabit routers with IP switching, MPLS, ATM and Frame Relay; broadband LAN technologies: Fast Ethernet and Ethernet Switching, Gigabit Ethernet, and FDDI; broadband access technologies: DSL and Cable modems, as well as discussion of network performance, congestion control and traffic management, provision of different levels of quality of service (QoS),resource reservation, unicast and multicast routing, and multimedia compression and security in broadband networks. Students are required to complete a research project in one of the advanced Internet technologies. Labs on network performance analysis.
  • MET CS 779: Advanced Database Management
    Graduate Prerequisites: MET CS 579 or MET CS 669; or consent of the instructor
    This course covers advanced aspects of database management systems including advanced normalization and denormalization, query optimization, object-oriented and object-relational databases, data warehousing, data mining, distributed databases, XML, XSL, and databases for web applications. There is extensive coverage of SQL and database instance tuning. Students learn about the advanced object-relational features in DBMS such as Oracle, including navigational query, BLOBs, abstract data types, and methods. 4 credits.
  • MET CS 780: Database Administration
    Graduate Prerequisites: MET CS 579 or MET CS 669; or consent of the instructor.
    This course prepares students to perform the day-to-day administration of a database system. While most of the examples in this course are based on Oracle database administration, the course also covers the differences in administering Microsoft SQL Server and MySQL and examples. The course covers administration on Windows, Linux and Unix platforms. 4 credits.
  • MET CS 781: Advanced Health Informatics
    Undergraduate Prerequisites: MET CS 570.
    This course presents the details of information processing in hospitals, hospital information systems (HIS), and more broadly health information systems. It presents the architecture, design, and user requirements of information systems in health care environment. It focuses on Information Technology aspects of Health Informatics specifically addressing the design, development, operation, and management of HIS. The first part of this course covers the introductory concepts including information processing needs, and information management in health care environment. The second part covers detailed description of HIS including hospital process modeling, architecture, quality assessment, and applicable tools. The final part of the course covers management of HIS and related issues and extension of this topic to other health care organizations. The course will have a term project providing students a hands-on experience in design and research of HIS. Prerequisite: CS 580 Health Informatics.
  • MET CS 782: IT Strategy and Management
    Undergraduate Prerequisites: Restrictions: Only for MS CIS students.
    This course provides an overview of contemporary I.T. management. It explains the relevant issues of effectively managing information services. The course highlights areas of greatest current and potential application of I.T. to business needs and reviews electronic business, enterprise business systems, and decision support systems.
  • MET CS 783: Enterprise Architecture
    Graduate Prerequisites: MET CS 682; or strategic IT experience or instructor's consent
    This course builds upon the strong technical foundation of our MSCIS and MSCS curricula, by providing students with the CIO-level management perspective and skills of enterprise architecture, in the context of the technologies that implement those architectures. The course provides students with the understanding and skills needed to define and implement successful enterprise architectures that provide real value to organizations, such as substantially reducing IT costs while improving performance, agility and alignment of information technology to business goals. 4 credits.
  • MET CS 789: Cryptography
    Undergraduate Prerequisites: MET CS 248 and MET CS 566.
    Graduate Prerequisites: MET CS 248 and MET CS 566; or consent of the instructor
    The course covers the main concepts and principles of cryptography with the main emphasis put on public key cryptography. 4 credits.
  • MET CS 795: Directed Study
    Prereq: Consent of advisor. Requires prior approval of student-initiated proposal. Independent study on special projects under faculty guidance.
  • MET CS 796: Directed Study
    Prereq: consent of the instructor. Requires prior approval of student-initiated proposal. Independent study on special projects under faculty guidance. variable cr
  • MET CS 799: Advanced Cryptography
    Undergraduate Prerequisites: MET CS 789; or instructor's consent
    This course builds on the material covered in CS 789 Cryptography. It begins with the coverage of commutative rings, finite fields, rings of polynomials, and finding of the greatest common divisor in the ring of polynomials. Irreducible polynomials are discussed. Field extensions and fields Fᴩ [x]/P are thoroughly covered. The main emphasis is put on elliptic curves over Fᴩ and F₂ and the ElGamal cipher on elliptic curves is presented. Block ciphers DES and double and triple DES are introduced. AES and WHIRLPOOL block ciphers and modes of operation are covered. The course continues with the introduction of message integrity and message authentication. In the last part of the course cryptographic hash functions SHA-512 and WHIRLPOOL as well as various digital signatures are introduced. Finally, entity authentication and key management issues are discussed.
  • MET CS 810: Master's Thesis in Computer Science
    This thesis must be completed within 12 months. Students majoring in Computer Science may elect a thesis option. This option is available to Master of Science in Computer Science candidates who have completed at least seven courses toward their degree and have a GPA of 3.7 or higher. Students are responsible for finding a thesis advisor and a principal reader within the department. The advisor must be a full-time faculty member; the principal reader may be part-time faculty member with a doctorate. Permission must be obtained by the department. 4cr.
  • MET CS 811: Master's Thesis in Computer Science
    This thesis must be completed within 12 months. Students majoring in Computer Science may elect a thesis option. This option is available to Master of Science in Computer Science candidates who have completed at least seven courses toward their degree and have a GPA of 3.7 or higher. Students are responsible for finding a thesis advisor and a principal reader within the department. The advisor must be a full-time faculty member; the principal reader may be part-time faculty member with a doctorate. Permission must be obtained by the department. 4cr.
  • MET CS 893: Agile and Advanced Software Engineering Methods
    Undergraduate Prerequisites: MET CS 673 or equivalent.
    Builds on previous design and programming courses and introduces students to the technological, social, and pragmatic aspects of developing open source software through direct involvement in an open source project. Students learn to use the tools, techniques, and strategies of open source developers. They become familiar with the open source movement, its philosophy, history and licensing issues. This is a project-based laboratory course. Students are directly involved with and integrated into an open source project. They are expected to be active participants in the project and contribute to the project in various ways.