Implement your career plan with an information systems degree

This course introduces students to the Franklin University community and provides strategies for successful transition to and participation in that community. Topics include University resources and procedures, strategies for advancing communication skills, the use of electronic tools to participate in virtual environments, and the development of an academic and career plan.

This course prepares students to be successful lifelong learners both academically and in their chosen careers. Franklin courses require a high level of self-directed learning and focus on skills required in the workplace and the classroom that are easily transferable between the two environments. The course includes strategies for advancing communication skills, including the use of electronic tools to participate in virtual environments. The assignments and activities in the course are created to closely simulate teamwork found in the workplace.

By using applied critical and creative thinking, students in this course will develop a set of communication skills that will enhance their personal and professional relationships and endeavors. This course will focus on skill development in key areas such as self, perception, listening, verbal messages, conversations, relationships, conflict management, persuasion, and public speaking.

This public-speaking course emphasizes the fundamentals of extemporaneous speaking. Skill-building activities and assignments focus on research, organization, reasoning, style and delivery of presentations as well as listening and audience engagement.

This is an intermediate course focusing on the composition of research papers. Students in this course prepare to be active participants in professional discourse communities by examining and practicing the writing conventions associated with their own fields of study and work. By calling attention to the conventions of disciplinary writing, the course also prepares students for upper-division college writing and the special conventions of advanced academic discourse. Course activities include three extended research papers, semi-formal writing addressing interdisciplinary communication, and readings fostering critical engagement with disciplinary conversations.

This course is designed to serve students in the Computer and Information Sciences majors. The topics covered are descriptive statistics in numerical & graphical methods, probability concepts, discrete and continuous probability distributions, estimation theory, hypothesis testing, simple linear regression and correlation, and linear programming. These topics will be taught with a rigorous Algebra content and using a statistical software such as Minitab. Note, this course has proctored exam(s).

This course covers fundamental concepts necessary for the design, use, implementation and administration of database systems. The course will stress the fundamentals of database modeling and design, the languages and facilities provided by database management systems, and some techniques for implementing and administering database systems. Note, this course has proctored exam(s).

This introductory course focuses on applying information technology to business strategies using databases. The student will gain a working knowledge of current database technology, including relational database concepts, database design, data extraction, and data warehousing while working with database applications. Note, this course has proctored exam(s).

This course introduces data analytics using Structured Query Language (SQL). Students will learn how to apply SQL in data exploration analysis and business problem-solving.

Many organizations today utilize computers and information systems to store, organize, analyze, and summarize data to solve problems. As a result, computing is a tool that can benefit students in many different fields. At the heart of solving problems with computers is the study of structured thinking using algorithms. This course is designed for students with no prior programming experience and teaches the building blocks of algorithms, including variables, expressions, selection and repetition structures, functions and parameters, and array processing. Note, this course has proctored exam(s).

This course introduces the Linux operating system with a focus on the foundational Linux concepts and core tasks of the system administrator. Students will examine numerous commands and tools to maintain and operate Linux systems. This course utilizes hands-on lab exercises to provide students with professional experience.

The Internet has changed dramatically; so have the activities that are dependent on it in some shape or form. Understanding the need for security, it's influence on people, businesses and society, as well as business drivers is critical. The course also covers malicious attacks, threats and vulnerabilities common to the world of security, as well as access controls, and methods to assess and respond to risks. Hands-on labs accompany the various concepts that are taught.

The purpose of this course is to provide the fundamentals associated with the management of information technology in a business enterprise. These fundamentals are business concepts in which the influence of information technology has caused change or brought about new concepts. Special emphasis will be placed on understanding the managerial issues that are relevant to usage of computers. The student will be given problems isolating these issues and will be asked to propose solutions with alternatives.

This course serves as an introduction to the function, design, administration, and implementation of computer networks. Topics include network infrastructure, architecture, protocols, applications, and the OSI networking model. Note, this course has proctored exam(s).

This course is an introduction to financial and managerial accounting. It is designed for non-accounting majors. Financial accounting emphasizes how general purpose financial statements communicate information about the business's performance and position for users external to management. It emphasizes how the accountant processes and presents the information. The course also examines the major elements of the financial statements. The managerial accounting portion of the course studies internal reporting and decision-making. The course assists those who wish to learn "what the numbers mean" in a clear, concise and conceptual manner without focusing on the mechanical aspects of the accounting process.

This course explores the basic concepts and processes of management. Students will explore the functional roles and processes of planning, leading, organizing, and controlling comprising the manager role. Students develop skills related to the manager function that are required in today's competitive environment.

Theory, strategies and methods are foundational to the informed practice of marketing. Students investigate the importance of marketing to an organization or cause, the interrelationship of the difference phases of marketing, the marketing of goods versus services, analysis and identification of markets, pricing strategies and digital marketing tactics.

An introductory business course that helps students learn business terminology and provides preliminary study into the areas of economics, global business, ethics, business ownership, business management, human resource management, marketing, accounting and finance.

This course introduces the fundamentals of Business and Data Analytics. Students will learn the fundamentals of business problem framing, data wrangling, descriptive and inferential statistics, data visualization, and data storytelling in analytics. Not open to students with credit for INFA 300.

This course provides a conceptual survey of general systems theory followed by a conceptual and technological survey of the structure of distributed information systems architectures, operating systems, network operating systems, peripheral technology and user interfaces. Interoperability between these architectural components will be explored and current technology and trends in each architectural element will be reviewed. This course will de-emphasize, although not ignore, mainframe architectures in favor of information architectures more applicable to client/server computing. The various interacting categories of client/server computing as well as the benefits and implications of such a system will be fully explored. Note, this course has proctored exam(s).

This course is designed to familiarize individuals with current and emerging business processes that utilize electronic data transmission technologies including the Internet. Topics will include network and Internet technology for business advantage, enterprise-wide business functions and processes, re-engineering of legacy processes through electronic commerce, and Internet-based business-to-consumer business ventures. Social, political and ethical issues associated with electronic commerce are reviewed. The purpose of this course is to educate a new generation of managers, planners and analysts of the realities and potential for electronic commerce.

This course is designed to provide a platform for students to gain both an understanding of, and basic competency in applying, object-oriented systems analysis and design (OOSAD). Emphasis will be on knowledge and skills related to analyzing, modeling and designing processes using the OO model. Topics studied include the software development life cycle (SDLC), analysis modeling, requirements determination, process and function modeling, structural and behavioral modeling and class, method, data management, interface and architecture design. The learning process will be one of working through, both individually and as part of a team, a case study-based project aimed at resolving the case study issues.

This course provides a capstone experience that integrates the material contained in the General Education, Technical Area, Major Area Core and the Major Area elective courses of the Information Systems major. First, students review the major areas of the program including topics from the appropriate Major Area electives. Second, students manage and /or participate in an Information Systems project appropriate to their selected Major Area electives. Third, students take a standardized exam that includes topics from all Major Area Core courses and their declared Major Area electives.

This course introduces the principles of analytics modeling. Students will learn exploratory data analytics, regression, classification, clustering, model interpretation, and model evaluation. Not open to students with credit for INFA 420.

The course examines current theories and best practices of working collaboratively in professional contexts. Students apply these concepts to analyze their own work experience, generating strategies for how to improve their performance in work groups. Students will learn basic project management skills and work in online virtual teams to complete a final communication project.

This course introduces students to the concepts, methods and approaches involved in the process of requirements analysis and testing, in the context of the necessary procedures that comprise the process of confirming requirements for a new or upgraded information system: requirements elicitation analysis, specification, verification and management.

This course focuses on knowledge, understanding and skills related to building competencies in overseeing the architecture, design, and implementation of software systems. Specific topics include agile software development practices, planning and governance of large projects, identification, assessment and management of current and emerging information technologies, and the application of project management tools for software architecture, project communications, risk analysis, cost estimation and budgeting, and quality control in managing the software development life cycle.

Systems integration permeates the information management landscape, operating conceptually on three levels: the strategy of achieving enterprise-level information systems (IS) integration, the process at the IS department-level to achieve integration and the selection of technologies needed to achieve integration. This course examines these levels of systems integration, emphasizing realistic solutions, guidelines, and practices, through a hands-on approach.

In a highly connected, data intensive, and cost-focused business environment, the practice of information security not a business advantage; it is a customer requirement. Viruses, malware, trojans, denial of service attacks, phishing, and even Wiki leaks have become headline news. Failure to insure the confidentiality, integrity, and availability of data costs companies millions, if not billions of dollars in legal settlements, lost business, and trade secrets. In this breadth-based course, you will get an overview of information security principles and practices, including security models, risk management, access controls, intrusion detection and prevention, cryptography, software vulnerabilities, and ethical issues. Subsequent courses expand on this foundational material in much greater depth. Note, this course has proctored exam(s).

Proper assessment, management, and mitigation of risk are essential to any information security strategy. Risks aren't just related to IT assets, but to the overall business that the IT organization is supporting, thus, business continuity planning and impact analysis is also important. In this course, you will learn how to identify and analyze risks, determine impacts, and develop plans to mitigate issues. Topics include threats, vulnerabilities, exploits, and countermeasures; US compliance laws; risk assessment and mitigation; business impact analysis; and business continuity and disaster recovery planning.

Ensuring the confidentiality, integrity, and availability of large and complex systems is notoriously difficult in the face of capable and determined opponents. This course discusses security engineering as the practical application of requirements analysis, modeling, architecture, processes, and measurement toward improving the dependability of complex information systems throughout their lifecycle. Note, this course has proctored exam(s).

This course introduces data visualization fundamentals using the leading visualization tools in the industry and focuses on project-based learning. Students will learn how to develop dashboards and discover insight effectively based on data. Not open to students with credit for INFA 350.

Students will learn the basic concepts behind major machine learning algorithms, the essential steps for creating a typical machine learning model, the strengths and weaknesses of different algorithms, and the model evaluation using different performance metrics. Eventually students will be able to build a prediction model by machine learning algorithm using Python language. The differences between Java and Python will be reviewed. The common problems in practical machine learning exercises and their solutions also will be discussed.

Upon successful completion of this course, students will be able to design and implement data gathering processes and information analytics architectures within data warehousing environments appropriate for supporting data mining and information analytics modeling applicable to the solving of typical operational, supply and demand problems encountered by organizations. Learning will be supported by relevant texts, lectures, research papers, collaboration sessions and projects, both individual and team-based. The database, data warehouse, and computational tools used in this course are Oracle Corporation products.

This course introduces the principles of analytics modeling. Students will learn exploratory data analytics, regression, classification, clustering, model interpretation, and model evaluation. Not open to students with credit for INFA 420.

This course covers the fundamentals of the JavaScript programming language from the viewpoint of an experienced programmer learning a new language. The course topics include language based matters of syntax, variables and assignment, values types, operators, functions, objects, regular expressions, and exception handling as well as using the language and associated tools such as JSDoc to create and document Web application interfaces.

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 builds web applications by employing server-side scripts that query relational databases. The student learns and reflects on two- and three-tier software architectures, separation of responsibility, model-view-controller pattern, basic security, and web frameworks. The student will design, code, test, debug, and document programs using a server-based scripting language. Note: This is a technology course in a technology program, and it requires the purchase of software that may be used in subsequent courses as well as being suitable for commercial work beyond completion of degree studies. For specific software requirements, consult the course syllabus. Note, this course has proctored exam(s).

This course builds on the fundamental concepts of constructing web pages by expanding into robust, efficient and highly responsive server side applications of current web technologies. Students will apply advanced techniques that employ server side languages, libraries, and frameworks to build interactive RESTful application programming interfaces (APIs). These APIs will be used to drive web applications that use asynchronous scripting language callbacks to provide user interactivity.

The course examines current theories and best practices of working collaboratively in professional contexts. Students apply these concepts to analyze their own work experience, generating strategies for how to improve their performance in work groups. Students will learn basic project management skills and work in online virtual teams to complete a final communication project.

This course introduces students to the concepts, methods and approaches involved in the process of requirements analysis and testing, in the context of the necessary procedures that comprise the process of confirming requirements for a new or upgraded information system: requirements elicitation analysis, specification, verification and management.

This course focuses on knowledge, understanding and skills related to building competencies in overseeing the architecture, design, and implementation of software systems. Specific topics include agile software development practices, planning and governance of large projects, identification, assessment and management of current and emerging information technologies, and the application of project management tools for software architecture, project communications, risk analysis, cost estimation and budgeting, and quality control in managing the software development life cycle.

This course provides an introduction to the concepts of information technology project management and techniques for initiating, planning, executing, monitoring and controlling of resources to accomplish specific project goals. Both technical and behavioral aspects of project management are discussed. While the focus is on information technology projects, the principles follow the nine project management knowledge areas outlined in the Project Management Institute's PMBOK? Guide Third Edition and thus are applicable to the management of any project. Topics will include integration, scope, time, cost, quality, human resource, communications, risk, and procurement management. Project management software utilization is emphasized.