Computer Science

• MET CS 546: Quantitative Methods for Information Systems
  The goal of this course is to provide Computer Information Systems students with the mathematical fundamentals required for successful quantitative analysis of problems in the field of business computing. The first part of the course introduces the mathematical prerequisites for understanding probability and statistics. Topics include combinatorial mathematics, functions, and the fundamentals of differentiation and integration. The second part of the course concentrates on the study of elementary probability theory, discrete and continuous distributions. 4 cr
• MET CS 561: Financial Informatics
  This course presents financial algorithms used in applications of computer science in financial decision analysis, risk management, data mining and market analysis, and other modern business processes. The course covers theoretical background on probabilistic methods used for financial decision making and their application in number of fields such as financial modeling, venture capital decision making, operational risk measurement and investment science. Number of financial applications and algorithms are being presented for portfolio risk analysis, modeling real options, venture capital decision making, etc. The course concludes with algorithms for financial risk assessment and presents the security concepts and challenges of financial information systems.
• MET CS 565: Advanced Java Programming
  Comprehensive coverage of object-oriented programming with cooperating classes. Implementation of polymorphism with inheritance and interfaces and in Java library containers. Programming with exceptions, stream input/output and graphical AWT and Swing components. Threads, sockets, datagrams and database connectivity are also covered in this course. Laboratory course.
• MET CS 566: Analysis of Algorithms
  Discusses basic methods for designing and analyzing efficient algorithms emphasizing methods used in practice. Topics include sorting, searching, dynamic programming, greedy algorithms, advanced data structures, graph algorithms (shortest path, spanning trees, tree traversals), matrix operations, string matching, NP completeness.
• MET CS 570: Biomedical Sciences and Health IT
  This course provides students with a graduate introduction to the American healthcare system and the roles played by IT in that system. The course explores the structure and functions of healthcare information systems, medical terminology, human anatomy and physiology, disease processes, diagnostic modalities, and treatments associated with common disease processes. IT case studies trace the workflows and show how information systems are used in diagnosing and treating diseases.
• MET CS 575: Operating Systems
  Overview of operating system characteristics, design objectives, and structures. Topics include concurrent processes, coordination of asynchronous events, file systems, resource sharing, memory management, security, scheduling and deadlock problems.
• MET CS 579: Database Management
  This course provides a theoretical yet modern presentation of database topics ranging from Data and Object Modeling, relational algebra and normalization to advanced topics such as how to develop Web-based database applications. Other topics covered - relational data model, SQL and manipulating relational data; applications programming for relational databases; physical characteristics of databases; achieving performance and reliability with database systems; object-oriented database systems.
• MET CS 580: Health Informatics
  This course presents the technological fundamentals and integrated clinical applications of modern Biomedical IT. The first part of the course covers the technological fundamentals and the scientific concepts behind modern medical technologies, such as digital radiography, CT, nuclear medicine, ultrasound imaging, etc. It also presents various medical data and patient records, and focuses on various techniques for processing medical images. This part also covers medical computer networks and systems and data security and protection. The second part of the course focuses on actual medical applications that are used in health care and biomedical research.
• MET CS 581: Electronic Health Records
  Electronic Health Records (EHRs) are application systems that automate the activities of healthcare clinicians including physicians, nurses, physician assistants, and healthcare administrative staff. Use of EHRs is increasing rapidly due to the systems? benefits and federal government programs to deploy EHRs. This increased use of EHRs has many challenges including complex data, high security requirements, integration to multiple application systems, a distributed user base, and broad impact on how these users work. This course will focus on real-world use and deployment of EHRs through readings, hands-on labs and case studies. Students will: (1) Learn the functionality of EHRs through hands-on labs; (2) Learn the technical infrastructure required for EHRs including distributed architecture, network and security design; (3) Understand how EHRs change healthcare delivery workflows and how to manage that change; and (4) Learn best-practices for deploying EHRs including project management, typical budgets, system selection and governmental requirements and funding.
• MET CS 593: Special Topics
  Prereq: consent of the instructor.
• MET CS 599: Biometrics
  Automatic and reliable identification of individuals for issuing official documents (e.g., passport and visa) and providing access to secure facilities (e.g., military base) and proprietary information (e.g., corporate websites) has become an essential part of our modern networked society. Biometric recognition systems utilize the physiological or behavioral characteristics of an individual for identification. By using biometrics, it is possible to establish an identity based on "who you are", rather than by "what you possess" (e.g., an ID card) or "what you remember" (e.g., a password). In this course we will study the fundamental and design applications of various biometric systems based on fingerprints, voice, face, hand geometry, palmprint, iris, retina, and other modalities. Multimodal biometric systems that use two or more of the above characteristics will be discussed. Biometric system performance and issues related to the security and privacy aspects of these systems will also be addressed.
• MET CS 601: Web Application Development
  This course focuses on building core competencies in web design and development. It begins with a complete immersion into HTML essentially XHTML and Dynamic HTML (DHTML). Students are exposed to Cascading Style Sheets (CSS), as well as Dynamic CSS. The fundamentals of JavaScript language including object-oriented JavaScript is covered comprehensively. AJAX with XML and JSON are covered, as they are the primary means to transfer data from client and server. Open source libraries such as Prototype, jQuery and Mootools might optionally be covered, as they assist in building cross-browser web applications rapidly and efficiently. The PHP language will be presented and covered; however, students can use other server-side languages; such as ASP.NET, Java (JEE) or Ruby on Rails (RoR) for their projects. The course will focus on MySQL as a relational database system with the final project. Students may use other databases with instructor approval. Students will work with either IIS 6 (or better) or Apache 2, using any conventional operating system when working on their term projects and class laboratories.
• MET CS 625: Business Data Communication and Networks
  This course presents the foundations of data communications and takes a bottom-up approach to computer networks. It begins with an overview of modern data communication requirements, and basic distributed data concepts. A brief history of the Internet is presented followed by the basics of the OSI and TCP/IP computer networks models. The Physical Layer is presented in the form of basic Data communication concepts over various transmission media, wireless transmission, and the telephone system. The Data Link Layer presentation deals with design issues, error detection and correction, and the Medium Access Sub-layer covers channel allocation problems, multiple access protocols, IEEE standard 802 for LANs and WLANs, as well as bridges, switches and high-speed LANs. The basic functions of the Network Layer are explained in the context of design issues, internetworking, and the network layer in the Internet. The Transport Layer includes the transport service and elements of transport protocols, as well as the TCP and UDP Internet transport protocols. The Application Layer issues cover the main distributed applications, such as electronic mail, DNS, ftp, www etc. The course concludes with an overview of basic network security and management concepts.
• MET CS 632: Information Technology Project Management
  This course provides students with a comprehensive overview of the principles, processes, and practices of software project management. Students learn techniques for planning, organizing, scheduling, and controlling software projects. There is substantial focus on software cost estimation and software risk management. Students will obtain practical project management skills and competencies related to the definition of a software project, establishment of project communications, managing project changes, and managing distributed software teams and projects.
• MET CS 633: Distributed Software Development and Management
  Contemporary communication costs allow software applications to be produced via geographically distributed development (GDD). In addition to the traditional challenges of specifying and developing IT. systems, GDD projects must accommodate differing cultures, time zones, and development methodologies. This course prepares students to justify,lead, participate in, and maintain such projects. Students work in geographically dispersed teams and produce documented applications. Lab course.
• MET CS 635: Network Design and Implementation
  Computer Networks continue to grow and diversify at unprecedented rate. Much of that diversification is in how the media are utilized. One can not truly understand networking, analyze alternatives or design good networks without a solid founding in how the media are utilized. This course will explore current and expected media technologies with the intent of understanding what they offer and the trade-offs they present. The course will cover both wireline (Ethernet, DOCSIS, MPLS, ATM) and wireless (802.11, Wi-Max, Zigbee, Bluetooth, etc). The course will analyze the technologies to consider their error characteristics, support for quality of service, congestion control, and security, and their manageability.
• MET CS 651: Web Development with .NET
  This course provides a comprehensive introduction to building web applications and web services using the Microsoft .NET (Version 3.5) development platform. The key technologies covered include the C# programming language (Version 3.0), the ASP.NET (Version 3.5) system for developing web applications and web services using C#, and ADO.NET and LINQ (Language INtegrated Query) for data access. In addition to the above topics, we will also cover Windows Communication Framework (WCF) and Windows Presentation Framework (WPF). All programming will be based on Microsoft Visual Studio 2008 available through BU's MSDNAA. A copy of the software will be provided to the students.
• MET CS 662: Computer Language Theory
  Theory of finite automata and regular expressions and properties of regular sets. Context-free grammars, context-free languages, and pushdown automata. Turing machines, undecidability problems, and the Chomsky hierarchy. Introduction to computational complexity theory and the study of NP-complete problems.
• MET CS 664: Artificial Intelligence
  Study of the ideas and techniques that enable computers to behave intelligently. Search, constraint propagations, and reasoning. Knowledge representation, natural language, learning, question answering, inference, visual perception, and/or problem solving. Laboratory course.
• MET CS 665: Software Design and Patterns
  Software design principles, the object-oriented paradigm, unified modeling language; creational, structural, and behavioral design patterns; OO analysis and design; implementation of semester project. Laboratory course.

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