In celebration of The Summer of Now, Harrods is giving you the chance to win a three night weekend trip to New York for two in partnership with exclusive travel company; Winged Boots.
The package includes flights from London Heathrow to JFK with Virgin Atlantic and a three night stay at a luxury hotel – The London NYC.
Plus if you take part in The Summer of Love online Opening Party you will gain another chance to win. This entry was posted in Competitions and tagged Competition, Harrods, new york, Shopping, Win. Some of the content on this website requires JavaScript to be enabled in your web browser to function as intended. This 12-credit certificate allows graduate students to expand their knowledge and skills in the concepts, technologies, and tools of business intelligence, data analytics and business analytics and be recognized for their achievement. Pentagon Defense Systems Still Use 1970s Computing Platform, US’ Nuclear Weapons Run By Floppy Disks? The new Master of Arts in Disaster Studies will become available government and public administration, humanities and geographic information systems — will be offered at the Edinburg and Brownsville campuses, as well as online. With a Bachelor of Science in information technology from the University of Arizona and a Master of Science in Systems Engineering from Regis University, Mr. A Master of Science in Information Technology and Management from the Jindal School will help students gain expertise in the way IT departments cooperate. Walden’s online master’s degree programs prepare you with the s s and knowledge to thrive in today’s competitive global marketplace. The Master of Business & Science degree at Rutgers, The State University of New Jersey is a hybrid degree combining courses from an MS and MBA.
Our one-year program gives students the scientific understanding, and management and ytical tools to take on the world's most important sustainability challenges.
Tagged with: master of science in nursing, master of science in education, master of science in finance, master of science in accounting, master of science in management, master of science in business ytics, master of science in computer science, master of science in engineering, master of science in ytics, master of science in data science columbia, master of science in architecture, master of science in biomedical sciences, master of science in teaching, master of science in information systems, master of science in psychology, master of science in jurisprudence, master of science in information technology, master of science in law, master of science in taxation. The Master of Science (MS) in Computer Information Systems program is designed for students who wish to combine technical competence in information systems with knowledge of managerial and organizational issues. Advanced knowledge in the analysis and documentation of requirements for architecture, design, and implementation of computer applications systems. Proficiency in software and computing skills as they pertain to the design and implementation of database systems, data communications, systems analysis, and design. The National Security Agency and Department of Homeland Security designates Boston University as a National Center of Academic Excellence in Information Assurance Education and Research. The Master of Science in Computer Information Systems has been accredited by the Project Management Institute Global Accreditation Center for Project Management Education Programs (GAC). Blended: By combining the convenience of online study and the dynamic of face-to-face learning, the blended format provides added flexibility and new avenues of opportunity for those with demanding schedules. Appreciating the converging nature of management skills and technology, the Computer Science department has a special relationship with Metropolitan College’s Administrative Sciences and Actuarial Science departments.
Prerequisite courses or evidence of proficiency in these areas must accompany the application to the program. Official transcripts of previous academic work, three letters of recommendation, personal statement and resume are required as part of the application. A maximum of two graduate-level courses (8 credits) taken at Metropolitan College before acceptance into the program may be applied toward the degree. Fall ‘16This course is a technically-oriented introductory survey of information technology.
If college-level credit courses are not in evidence, the department will determine what prerequisite courses must be completed in addition to graduate degree requirements.
A maximum of two graduate-level courses (eight credits) taken at Metropolitan College before acceptance into the program may be applied toward the degree. Students are required to complete the core curriculum courses and have the option to complete one or more concentration(s) or no concentration. Fall ‘16This course presents the foundations of data communications and takes a bottom-up approach to computer networks.
Fall ‘16Students learn the latest relational and object-relational tools and techniques for persistent data and object modeling and management. Fall ‘16Object-oriented methods of information systems analysis and design for organizations with data- processing needs.
Fall ‘16This course describes and compares contemporary and emerging information technology and its management. Fall ‘16This course covers the concepts of object-oriented approach to software design and development using the Java programming language. Fall ‘16This course covers the concepts of the object-oriented approach to software design and development using the Python programming language. Students who have completed courses on core curriculum subjects as part of their undergraduate degree program must replace the corresponding core courses with electives. Students who are not pursuing a concentration must take MET CS 546 Quantitative Methods for Information Systems in addition to the core curriculum and general electives. Fall ‘16The 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.
Students who are not pursuing a concentration must select four elective courses from the following list.
This course empowers students to reduce the energy use, waste, and other environmental impacts of IT systems while reducing life cycle costs, thereby improving competitive advantage.
Fall ‘16The goal of this course is to provide students with the mathematical and practical background required in the field of data analytics. Fall ‘16This course provides an overview of the statistical tools most commonly used to process, analyze, and visualize data. 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. Fall ‘16This course is designed for IT professionals, and those training to be IT professionals, who are preparing for careers in healthcare-related IT (Health Informatics). Fall ‘16This course presents the technological fundamentals and integrated clinical applications of modern Biomedical IT.
Fall ‘16Electronic Health Records (EHRs) are application systems that automate the activities of healthcare clinicians including physicians, nurses, physician assistants, and healthcare administrative staff. In this course we will study the fundamental and design applications of various biometric systems based on fingerprints, voice, face, hand geometry, palm print, iris, retina, and other modalities. Fall ‘16This course provides students with a comprehensive overview of the principles, processes, and practices of software project management. Fall ‘16Many of today's software systems are developed by geographically distributed teams. Fall ‘16This course provides students with a comprehensive overview of the principles, processes, and practices of agile software development. Fall ‘16This course provides a comprehensive introduction to building state-of-the-art Web sites, Web applications, Web services, and Web-connected devices with Microsoft technologies, with an emphasis on server-side technologies, cross-platform (Windows, OS X, Linux) methodologies, and how they interplay with today's client-side script.
Fall ‘16Study of the ideas and techniques that enable computers to behave intelligently. The Java Enterprise Edition (Java EE) architecture is explored starting with the presentation layer which includes the servlets and Java Server Pages (JSP). Fall ‘16This course enables IT professional leaders to identify emerging security risks and implement highly secure networks to support organizational goals. Fall ‘16The Web Analytics and Mining course covers the areas of web analytics, text mining, web mining, and practical application domains. Fall ‘16Provides a comprehensive understanding of digital forensics and investigation tools and techniques. Fall ‘16The course provides an in-depth presentation of security issues in computer systems, networks, and applications. Fall ‘16Data mining and investigation is a key goal behind any data warehouse effort.
Fall ‘16The Rich Internet Application (RIA) Development course concentrates primarily on building rich client web applications in the browser for desktop and mobile devices. Fall ‘16This course provides a comprehensive understanding of network forensic analysis principles.

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.
Theory and practice of quality assurance and testing for each step of the software development cycle. Fall ‘16This 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. Fall ‘16This course presents the details of information processing in hospitals, hospital information systems (HIS), and more broadly health information systems. Fall ‘16This 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 an enterprise architect, in the context of the technologies that implement those architectures.
Fall ‘16The course covers the main concepts and principles of cryptography with the main emphasis put on public key cryptography. Students majoring in Computer Information Systems may elect a thesis option, to be completed within twelve months. Degree requirements for the blended format MS in Computer Information Systems can be viewed here. Meet Claritza Abreu—Distinguished Alumni Award winner, Mass High Tech “Woman to Watch,” and graduate of the MS in Computer Information Systems. These past few weeks we have shown you around some of our secret shopping spots: flea markets in Brooklyn, 18 miles of books and a market for foodies.
This includes, but is not limited to: Flash (also requires the Adobe Flash Player), navigation, video, image galleries, etc. Degree candidates in either program may apply 8 credits from one degree toward a second degree in one of these disciplines, thereby reducing their work by two courses. If college-level credit courses are not in evidence, the department will determine what prerequisite courses must be completed in addition to the graduate degree requirements. Students claiming equivalent proficiency in the prerequisite courses from non-academic sources must take an examination to demonstrate such proficiency. Students who want to earn one or more concentration(s) must satisfy the stated requirements of each concentration they wish to pursue. Students gain extensive hands- on experience using Oracle or Microsoft SQL Server as they learn the Structured Query Language (SQL) and design and implement databases.
Students learn how to identify information technologies of strategic value to their organizations and how to manage their implementation.
It includes a detailed discussion of programming concepts starting with the fundamentals of data types, control structures methods, classes, applets, arrays and strings, and proceeding to advanced topics such as inheritance and polymorphism, interfaces, creating user interfaces, exceptions, and streams. It includes a detailed discussion of programming concepts starting with the fundamentals of data types, control structures methods, classes, arrays and strings, and proceeding to advanced topics such as inheritance and polymorphism, creating user interfaces, exceptions and streams.
It is recommended that each replacement course be in the same technical area as the original core course. The first part of the course introduces the mathematical prerequisites for understanding probability and statistics. At the end of the course you can expect to be able to write programs to model, transform and display 3- dimensional objects on a 2-dimensional display. Starting with an introduction to probability and statistics, the R tool is introduced for statistical computing and graphics. Topics include simple linear regression, multiple regression, logistic regression, analysis of variance, and survival analysis. 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. Implementation of polymorphism with inheritance and interfaces and in Java library containers. This course provides a high-level introduction into basic concepts of biomedicine and familiarizes students with the structure and organization of American healthcare system and the roles played by IT in that system. 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.
Use of EHRs is increasing rapidly due to the systems' benefits and federal government programs to deploy EHRs. Multimodal biometric systems that use two or more of the above characteristics will be discussed.
Students learn techniques for planning, organizing, scheduling, and controlling software projects.
Students learn techniques for initiating, planning and executing on software development projects using agile methodologies.
The first part, two thirds of the course, covers the principles and problems associated with mobile device applications, using as examples Google Android, iPhone, and other platforms such as Nokia. Discussion of methodologies for identifying, quantifying, mitigating and controlling risks. The web analytics part of the course studies the metrics of web sites, their content, user behavior, and reporting. Learn what computer forensics and investigation is as a profession and gain an understanding of the overall investigative process. Topics include mobile forensics procedures and principles, related legal issues, mobile platform internals, bypassing passcode, rooting or jailbreaking process, logical and physical acquisition, data recovery and analysis, and reporting.
Formal security models are presented and illustrated on operating system security aspects, more specifically memory protection, access control and authentication, file system security, backup and recovery management, intrusion and virus protection mechanisms. The course provides an introduction to concepts behind data mining, text mining, and web mining. Within the context of forensics security, network infrastructures, topologies, and protocols are introduced. Students will review software engineering design fundamentals and reverse engineering techniques utilized to conduct static and dynamic forensic analysis on computer systems and networks. It presents the architecture, design, and user requirements of information systems in health care environment. Our Ross, Weil, and Robertson text provides much of the management content of the course, and the online and classroom content provide both management and technical skills.
It begins with the review of integers and a thorough coverage of the fundamentals of finite group theory followed by the RSA and ElGamal ciphers. 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. This option is available to Master of Science in Computer Information Systems candidates who have completed at least seven courses toward their degree and have a GPA of 3.7 or higher. News & World Report ranked the master’s in Computer Information Systems #3 among the nation’s Best Online Graduate Computer Information Technology Programs. Now it could be your turn to shop New York for yourself with this amazing competition from London shopping institution Harrods.
While the website is still usable without JavaScript, it should be enabled to enjoy the full interactive experience. New technologies and efforts are needed to move on to the next phase of the digital revolution - the data revolution. The systems are about 56 years old and use an outdated computer language that is difficult to write and maintain. Students must be accepted by both departments, but they may request that application materials such as references and transcripts be forwarded from the first program to the second.
Students claiming equivalent proficiency in prerequisite courses from non-academic sources must take an examination to demonstrate such proficiency.
Students who choose not to pursue a concentration will take MET CS 546 Quantitative Methods for Information Systems and four general electives to complete their degree.
Upon completion of this course the students will be able to apply software engineering criteria to design and implement Java applications that are secure, robust, and scalable.
Upon completion of this course students will be capable of applying software engineering principles to design and implement Python applications that can be used in conjunction with analytics and big data. Students who have work-related experience in any of the core curriculum courses may apply for a waiver by submitting appropriate documentation.
Topics include combinatorial mathematics, functions, and the fundamentals of differentiation and integration. In choosing electives, students should make sure that they have all prerequisites required by the selected course.

Different types of data are investigated along with data summarization techniques and plotting.
These topics are explored using the statistical package R, with a focus on understanding how to use and interpret output from this software as well as how to visualize results.
Number of financial applications and algorithms are being presented for portfolio risk analysis, modeling real options, venture capital decision making, etc.
The course introduces medical terminology, human anatomy and physiology, disease processes, diagnostic modalities, and treatments associated with common disease processes. It also presents various medical data and patient records, and focuses on various techniques for processing medical images. 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.
Biometric system performance and issues related to the security and privacy aspects of these systems will also be addressed. Students will obtain practical knowledge of agile development frameworks and be able to distinguish between agile and traditional project management methodologies.
The following topics are covered: security, profiles, password policies, privileges and roles, Virtual Private Databases, and auditing. Students implement a comprehensive IT risk management plans (RMP) that identify alternate sites for processing mission-critical applications, and techniques to recover infrastructure, systems, networks, data and user access.
Application level security focuses on language level security and various security policies; conventional and public keys encryption, authentication, message digest and digital signatures. Algorithms will be tested on data sets using the Weka Data mining software and Microsoft SQL Server 2005 (Business Intelligence Development Studio). Students understand the relationship between network forensic analysis and network security technologies.
Students will learn about the importance of forensic principles, legal considerations, digital evidence controls, and documentation of forensic procedures.
Students learn about the advanced object- relational features in DBMS such as Oracle, including navigational query, BLOBs, abstract data types, and methods.
It focuses on Information Technology aspects of Health Informatics specifically addressing the design, development, operation, and management of HIS. Students learn that enterprise architectures are best developed incrementally, by system development projects that are aligned with strategic goals and the enterprise architecture. Students are responsible for finding a thesis advisor and a principal reader within the department. To provide students with the knowledge necessary in this age of Big Data, the Department of Computer and Electrical Engineering and Computer Science (CEECS) and the Department of Information Technology and Operations Management (ITOM) have jointly designed the Big Data Analytics graduate certificate.
This course may not be taken in conjunction with MET CS 425 (undergraduate) or MET CS 535.
When a course waiver is granted, the student must substitute a graduate-level elective for the core course. The second part of the course concentrates on the study of elementary probability theory, discrete and continuous distributions. 2-d primitives such as lines and curves in 2- d space are studied and a number of algorithms to draw them on a rectangular surface are introduced, followed by a study of polygons, scan conversion and other fill methods. In each topic area, the methodology, including underlying assumptions and the mechanics of how it all works along with appropriate interpretation of the results, are discussed. The course concludes with algorithms for financial risk assessment and presents the security concepts and challenges of financial information systems. This part also covers medical computer networks and systems and data security and protection.
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. The term project consists of in-process submissions that are thoroughly reviewed, including among peers, together with a working system prototype. Students will learn how to apply agile tools and techniques in the software development lifecycle from project ideation to deployment, including establishing an agile team environment, roles and responsibilities, communication and reporting methods, and embracing change. The course also covers advanced topics such as SQL injection, database management security issues such as securing the DBMS, enforcing access controls, and related issues. Issues covered will include Mobile Hardware and Cell Networks, Architectures, Operating Systems, Languages, Development Environments and Simulators, User Interfaces, Location-based Services, Storing and Retrieving Data. The text mining module covers the analysis of text including content extraction, string matching, clustering, classification, and recommendation systems.
Upon successful completion, students will be familiar with tradeoffs in DW design and architecture. In the second part of the course, particular focus and emphasis will be given to network security capabilities and mechanisms (Access Control on wire-line and wireless networks), IPsec, Firewalls, Deep Packet Inspection and Transport security. Studies how to set up an investigator's office and laboratory, as well as what computer forensic hardware and software tools are available. Internet and intranet topics include security in IP, routers, proxy servers, and firewalls, application- level gateways, Web servers, file and mail servers. Students will learn to identify network security incidents and potential sources of digital evidence and demonstrate the ability to perform basic network data acquisition and analysis using computer based applications and utilities. 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.
The online content therefore includes many real enterprise system development case studies, showing how these enterprise systems contributed to and helped define the overall enterprise architecture. Baby-step Giant-step and the Index Calculus probabilistic algorithms to compute discrete logs in cyclic groups are presented. The advisor must be a full-time faculty member; the principal reader may be part-time faculty with a PhD (unless waived by department). CS 782 is at the advanced Masters (700) level, and it assumes that students understand IT systems at the level of CS 682 Systems Analysis and Design. The second part of the course focuses on actual medical applications that are used in health care and biomedical research. We also leverage the guidelines outlined by the Project Management Institute for agile project development as a framework in this course.
The web mining module studies how web crawlers process and index the content of web sites, how search works, and how results are ranked. Other topics covered include importance of digital evidence controls and how to process crime and incident scenes, details of data acquisition, computer forensic analysis, e-mail investigations, image file recovery, investigative report writing, and expert witness requirements.
Discussion of remote access issues, such as dial-up servers, modems, VPN gateways and clients. Students will also identify potential applications for the integration of network forensic technologies and demonstrate the ability to accurately document network forensic processes and analysis. The course also includes a number of realistic enterprise architecture assignments and an incremental term project with components spanning the course, to provide students with hands on enterprise architecture experience.
Naor -- Reingold and Blum -- Blum -- Shub Random Number Generators as well as Fermat, Euler and Miller-Rabin primality tests are thoroughly covered. Students who haven't completed CS 682 should contact their instructor to determine if they are adequately prepared. Graphics Services (GDI+) for 2D-vector graphics, imaging, and text rendering, including the new features of gradients, anti-aliasing, double buffering techniques, zooming, off-screen image processing and rendering.
Application areas mining the social web and game metrics will be extensively investigated. 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. Java based web services are explored using JAX- WS (SOAP based) and JAX-RS (REST based) APIs. The course ends with the coverage of some oblivious transfer protocols and zero-knowledge proofs. Utilizing idle time processing, timers, and threading for building responsive GUI applications.

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