Excel with a master’s in information technology with a focus in learning technology

This course covers the fundamentals of security in the enterprise environment. Included are coverage of risks and vulnerabilities, threat modeling, policy formation, controls and protection methods, encryption and authentication technologies, network security, cryptography, personnel and physical security issues, as well as ethical and legal issues. This foundational course serves as an introduction to many of the subsequent topics discussed in depth in later security courses. Note, this course has proctored exam(s). This exam requires additional technology, if student uses online proctoring.

This course focuses on the fundamental design considerations in designing a database. Specific topics include performance analysis of design alternatives, system configuration and the administration of a popular database system. The course also offers an in-depth analysis of the algorithms and machine organizations of database systems. Note, this course has proctored exam(s). This exams requires additional technology, if student uses online proctoring.

This course examines various issues related to the management of information systems. Topics include: strategic planning, organizing the technology resources, means of prioritizing and selecting information technology, staffing, personnel management, and assessment. Note, this course has proctored exam(s).

This course builds web applications by combining software development, database, and cloud concepts into a modern web development course. Students will use current technologies in all three areas to design, develop, and deploy web applications in a cloud-based environments. Topics will include web frameworks, model-view-controller or model-view-view/model architectures, front- and back-end technologies, asynchronous web requests, database integration, security, and cloud deployment design decisions. Note, this course has proctored exam(s).

This course focuses on management and governance of an organization's information technology infrastructure. Topics include the management of large network infrastructures, cloud management, systems management, management mechanisms for data centers, network virtualization, cloud security and infrastructure governance issues and approaches. Multiple applications areas such as commercial, scientific and big data are addressed.

This course focuses on the value of Information Technology within an organization. For many organizations, IT is a cost, for others it is a strategic advantage. Emphasis is placed on organizational efficiency and leadership of IT organizations to enhance business value and organizational performance. Complete course in final term of program.

Learning theories and instructional design models are the two fundamental pillars for the field of instructional design. In this course, students will study the learning theories and philosophies that formed, influenced, and supported this field. Students will also study instructional systems theories, models, and systematic approaches to instructional design. In this course, students will apply these theories, strategies, and instructional models to create a learning, instructional design or training event in their chosen settings, including business, industry, government, healthcare, and classroom education. At the end of this course, students will make a plan on how to prepare for an instructional design career.

In this course, students will apply design principles to create a learning event that includes the use of new and emerging technologies. Students will research collaboration and networking tools for their use and value in learning environments. Delivery platforms and software will also be explored for their impact on instructional strategies. Projects completed in the course will become part of the student's portfolio.

In this course, students will study the practices employed to manage and deliver instructional content in an online environment. Students will interact with a functional Learning Management System (LMS) to manage the design, development, delivery, and evaluation of reusable learning content.

This course covers the broad spectrum of strategic issues in healthcare including policies, guidelines, standards, processes, and controls required to manage and implement enterprise-level information. Treating information as a strategic asset to healthcare organizations, processes to manage various risks to the quality of information and ensure its appropriate use are covered.

This course explores requirements for clinical workflows in a variety of inpatient, outpatient, and emergency healthcare environments. It covers the documentation, review, mapping, and diagramming of clinical workflow information and processes. The course also covers the linkages between the improvement of patient care to workflow mapping and change management, as part of evidence based decision making in healthcare.

This course addresses the process of retrieving, analyzing, and reporting intelligence to make healthcare decisions. It covers the techniques of extracting, transforming and loading data from a myriad of operational databases into corporate data warehouses, as well means to ensure that decision making is based on clean and reliable information. The course also includes ways to report the healthcare intelligence gathered.

When audits, technology, or compliance become the driver for security initiatives the resulting program is strategically fragmented, reactive, and rigid. Moreover, there are few, if any, assurances that the biggest threats are being addressed. On the other hand, risk assessment places values on assets, evaluates the current controls, and provides data to improve the protection in a controlled, proactive, and flexible manner. This course teaches an approach to security that combines operational security, risk assessment, test and review and mitigation such that value can be demonstrated. A project-based approach to risk assessment is followed including, project definition and preparation, data gathering, technical information, physical data gathering, analysis, mitigation, recommendations, and reporting. Note, this course has proctored exam(s).

Networks connecting disparate devices, services, and users have been among the most ubiquitous technologies that have led to the spectacular economic and technical success of the Internet. Today, networks seem to disappear, only to receive attention when they fail or are breached by attackers. While firewalls and virtual private networks are mainstays of network security, a strategy built on these alone is insufficient. This course covers a more comprehensive and systematic approach to network security including monitoring, incident response, forensics, virtualization and cloud, secure protocols, cryptography, and web services

When most people think of information security the images that come to mind are those of hackers: secretive people who, for political or profit motives, illegally break into computer systems to steal data or cause mayhem. While that kind of criminal element does exist, ethical hackers provide a needed service to organizations seeking to test and refine their security plans and technologies. This course takes an in-depth approach to ethical hacking including reconnaissance, scanning, vulnerability analysis, exploitation, and reporting. Students will employ current tools and methods in a hands-on approach that also prepares them for the Certified Ethical Hacker (CEH) exam. Note, this course has proctored exam(s).

This course provides an introductory overview of methods, concepts and current practices in the growing field of Data Analytics. Topics to be covered include data collection, analysis and visualization as well as statistical inference methods for informed decision-making. Students will explore these topics with current statistical software. Some emphasis will also be given to ethical principles of data analytics.

This course focuses on collecting, preparing, and analyzing data to create visualizations, dashboards, and stories that can be used to communicate critical business insights. Students will learn how to structure and streamline data analysis projects and highlight their implications efficiently using the most popular visualization tools used by businesses today.

This course explores data mining methods and tools, examines the issues in the analytical analysis of massive datasets, and unstructured data. Students will learn the concepts and techniques to discover the patterns in large datasets, which support organizational decision making.

This course systematically explores the external environment in which businesses operate - legal and regulatory, macroeconomic, cultural, political, technological, and natural. Additionally, the course will examine the critical opportunities and threats that arise from an analysis of external business conditions. Students will apply scenario planning to a selected industry and synthesize trends in the external environment in the presence of risk and uncertainty.

This course surveys the fundamental concepts and methods of economic analysis for managers. Real-world decision making is emphasized. Application of key economic concepts such as market demand, market supply, market equilibrium, marginal analysis, production, costs, revenue, profit, and market structure constitute the core material of the course.

Effective leadership in today's complex and highly regulated business environment demands more than a working knowledge of basic accounting practices. Managers must fully grasp sophisticated financial and managerial accounting concepts and be able to apply them with ease in handling day-to-day responsibilities. Managers must also be well versed in the intricacies of corporate governance and asset protection. In this course, students will develop a clear understanding of these critical functions and issues. Students will study the foundational aspects of financial accounting, including professional structure, the interrelationships of financial statements, and multiple forms of financial analysis. Additionally, the functional aspects of managerial accounting will be covered, including planning, decision making, and performance evaluation.

A brief history and overview of the fields of business and psychology as well as a discussion of the issues and opportunities related to their integration. Topics include brain organization and dominance, neuroethics, neurolinguistic programming, multiminds, mindmapping and the application of positive psychology to work settings. Includes the application of recent discoveries in cognitive psychology and neuroscience to resolve contemporary issues in the workplace.

This course focuses on the application of systems theory, social psychology concepts, organizational lifecycles, and biological principles to the understanding of business operations. Includes a review of basic business principles, multiple intelligences, organizational intelligence, organizational culture, emotional intelligence, biomimicry and organizational DNA.

This course will explore the psychological influences on the development and behavior of managers and organizational leaders. Topics include: follower influences, nature vs. nurture in the development of leaders, relationship of personality to leadership style, behavioral decision- making biases, tactical, operational, and strategic decision-making , group think, and scenario planning.

This course covers fundamental programming principles. Students will learn about the basic elements of a computer program such as data types, assignments, conditional branching, loops, functions, recursion, basic data structures, program debugging, and testing. Note, this course has proctored exam(s).

This course covers fundamental programming principles for individuals with at least some programming background. Major themes are structured programming, problem solving, algorithm design, top-down stepwise refinement, and software lifecycle. Topics will include testing, data types, operators, repetition and selection control structures, functions, arrays, and objects. Students will design, code, test, debug, and document programs in a relevant programming language. Note, this course has proctored exam(s).

This course provides an introduction to software construction using an object-oriented approach. The student learns and reflects on problem analysis, object-oriented design, implementation, and testing. To support the concepts and principles of software construction, the student will design, code, test, debug, and document programs using the Java programming language. Basic data types, control structures, methods, and classes are used as the building blocks for reusable software components. Automated unit testing, programming style, and industrial practice are emphasized in addition to the object-oriented techniques of abstraction, encapsulation, and composition. Note, this course has proctored exam(s).

This course will provide the knowledge and hands-on skills necessary for the function, design, administration, and implementation of computer networks and basic administration of the Linux operating system. The first half of the course covers the fundamentals of computer networks, OSI networking model, TCP/IP protocol suite, fundamental protocols, wireless networks, virtualization, cloud computing, monitoring, and troubleshooting. The second half covers Linux operating system concepts, including installation, package, file, process, disk & user management, logging, and system security. Note, this course has proctored exam(s).

This course introduces the student to statistics with business applications. The course covers both descriptive and inferential statistics. Topics included are: measures of central tendency; measures of dispersion; graphical displays of data; linear regression; basic probability concepts; binomial and normal probability distributions; confidence intervals; and hypothesis testing. These topics will be covered using a basic knowledge of algebra and Microsoft Excel. Note, this course has proctored exam(s).