B.A./B.S. Computer Information Systems (CIS)

Introduces the preparation and use of financial accounting information. Course includes preparation and analysis of financial statements and related disclosures.

Explores the ways computer-based information technologies and systems are used to address specific organizational needs. Students will become familiar with the terms, concepts, and issues in information technology management; become involved in the process of developing and modifying information systems which support crucial problem solving and decision-making in organizations; and conduct data analysis using common techniques.

Growing competition is increasing the demands on software quality, which calls for rigorous quality assurance. In this course the students will learn the life cycle of software quality assurance, its goals, benefits, standards, related models and costs. Students will learn that the software quality is not only code-weighted but also depends on several other attributes that make software of high quality.

Explore the design principles that characterize successful Web sites and use modern tools for creating Web sites. Design issues will include the differences between print and electronic media, working within the limits of the technology, and how the user's contexts and goals affect Web design. Web sites will be critiqued from both an aesthetic and functional standpoint and students will be required to design and build fully functional Web sites. No prerequisites; CTA/CIS 2041 recommended.

Overview of different computer security threats and measures that can be taken to make computers more secure. Hands on experience with a wide range of security techniques will be used to show the various threats to computer systems. Both technical and management solutions to security problems will be discussed. Student will be required to sign a code of conduct at the start of class given the sensitive nature of the material covered. This course will attempt to cover the major aspects of security including: risk management, access control, security architecture, physical security, telecommunications security, cryptography, business continuity, and disaster recovery.

Explores the behavior of people within organizations in terms of the factors that most influence it. These include factors related to individuals, groups and the larger organization system. The course relies heavily on experiential learning as a means of teaching students how to apply lessons in organizational settings. Prerequisites: junior status or permission of instructor.

Covers basic statistical concepts and methods useful in conducting research and evaluating results of studies done by others. Topics include frequency distributions and graphs, measures of central tendency and variability, transformed scores, correlations, multiple regression, hypothesis testing (t test, analysis of variance, and chi square), selection of appropriate statistics, calculation with MS Excel spreadsheets and SPSS, interpretation of the "results" sections of journal articles, and numeracy (understanding and using numbers in decision-making). Prerequisite: competence in arithmetic.

Explores the ways computer-based information technologies and systems are used to address specific organizational needs. Students will become familiar with the terms, concepts, and issues in information technology management; become involved in the process of developing and modifying information systems which support crucial problem solving and decision-making in organizations; and conduct data analysis using common techniques.

Studies terminology common to medicine; utilizing word elements as a basis for building medical terms and analyzing meanings; defining, pronouncing, and spelling commonly used medical terms; conversion of layman’s terms to appropriate medical terminology. In addition, terminology of specific medical allied health specialties (surgery, dentistry, radiology, etc.) and abbreviations are reviewed.

Introduces the variety of drugs used for disease treatment for each body system. A general understanding of how drugs work, their potential and limitations, as well as their diversity and number will be explored.

Introduces the field of health information management. Content areas include an overview of the electronic patient record, professional roles within the field, professional organizations and the professional Code of Ethics; the content and structure of manual, computerized and hybrid health record and the standards that govern the development of the record within a health care facility; viewing medical documents and e-forms. Hands-on lab experience will be used by students to develop their confidence and competence with employing this type of clinical information technology in the practice of their profession.

Applies technology to HIM practice including electronic health records, clinical information systems, and management information systems in HIM. Hands on experience with electronic systems and technology applications for creating, managing, and storing and retrieving electronic health data will be used by students to develop their confidence and competence with employing this type of clinical information technology in the practice of their profession.

Study of the U.S. judicial system; hospital, medical staff and other professional liability; health information as evidence; consent for treatment; retention and release of medical information; the health record as a legal document; risk management, prevention and potential; confidentiality of health information; and a patient's right to know.

Provides a foundation for designing databases and analyzing healthcare data to enhance clinical and administrative decision-making. Topics include database management, data analysis, data reporting, SQL, statistics, data mining, and data visualization. Students will have practical experience with software applications used in the healthcare industry.

Covers basic statistical concepts and methods useful in conducting research and evaluating results of studies done by others. Topics include frequency distributions and graphs, measures of central tendency and variability, transformed scores, correlations, multiple regression, hypothesis testing (t test, analysis of variance, and chi square), selection of appropriate statistics, calculation with MS Excel spreadsheets and SPSS, interpretation of the "results" sections of journal articles, and numeracy (understanding and using numbers in decision-making). Prerequisite: competence in arithmetic.

Studies fundamental concepts of algorithm analysis and the specification and implementation of data structures and data types are introduced. Topics include linked lists, stacks, queues, binary search trees, sorting, searching and graphs.

Gives students an in depth understanding of modern artificial intelligence methodologies, techniques, tools and results. Students learn the theoretical and conceptual components of this discipline. Topics covered: history of AI, search techniques, knowledge representation, reasoning, natural languages, machine learning, robotics, neural networks and expert systems. Students implement the above topics by means of computer programs written in laboratory. Interactions between artificial intelligence and other disciplines will be explored.

Limits, continuity and fundamental theory of differentiation, symbolic and numerical calculations of derivatives, applications of derivatives; definite integrals and Riemann sums. Prerequisite: Precalculus or ACT Math score of at least 29.

Study of numerical integration, applications of definite integrals, improper integrals, sequences and infinite series, basic ideas and methods for solving differential equations. Prerequisite: MTH 2221.

Elementary graph theory including matrix representation; coding and sorting applications; combinations and permutations; voting and apportionment; introduction to logic; elementary algorithm analysis and design; mathematical induction. Prerequisites: MTH 1111, Java Programming language or instructor's permission.

Further study of systems of linear equations, matrices and determinants, vector spaces and subspaces, linear transformations, eigenvalues and eigenvectors, diagonalization. Prerequisite: MTH 2222 or instructor's permission.

A survey course in mathematical probability and statistics. It includes probability distributions and densities, mathematical expectations, functions of random variables, introduction to estimation theory and hypothesis testing and applications. Prerequisite: MTH 2222.

Covers basic statistical concepts and methods useful in conducting research and evaluating results of studies done by others. Topics include frequency distributions and graphs, measures of central tendency and variability, transformed scores, correlations, multiple regression, hypothesis testing (t test, analysis of variance, and chi square), selection of appropriate statistics, calculation with MS Excel spreadsheets and SPSS, interpretation of the "results" sections of journal articles, and numeracy (understanding and using numbers in decision-making). Prerequisite: competence in arithmetic.

Provides an introduction to creating web applications with a rich client-side interface. The course focuses on the use of standards-compliant programming techniques and innovative approaches to user experience design. Gives students practical experience in working with current and emerging web technologies for the client-side of applications. Prerequisite: CIS 2085 or consent of instructor.

Studies fundamental concepts of algorithm analysis and the specification and implementation of data structures and data types are introduced. Topics include linked lists, stacks, queues, binary search trees, sorting, searching and graphs.

Introduces the diverse tasks required for 3-D game development. An overview of the game design industry and game development processes lead to development projects that use leading development tools. Sophisticated 3-D models are created using modeling software and incorporated into the development projects. Assessment is based on student's understanding of the methodologies, use of the development tools, and aesthetics of the designs.

Introduces software engineering and the processes for building software systems. The course examines the software lifecycle and the methods used to manage software projects. Students learn to create software designs from user requirements using UML, convert these design into software, and test and maintain this software. Since software design entails significant interactions between parties, people management and team management methods are explored including analysis of the ethical implications of the software design process.

Develop applications for a variety of resource constrained devices such as cellular phones, pagers and personal digital assistants (PDAs). Students will explore the creation of graphical user interfaces, data storage, network access and game development. Activities include creating applications for mobile devices using both high-level and low-level industry standard interfaces and developing a distributed application over a wireless network. Prerequisites: CIS 2087 or consent of instructor.

Provides an introduction to web site administration and the use of a web development IDE for the creation of database driven web applications. The course focuses on server-side programming and database access for web applications; giving students practical experience with current development environments. Pre- or co-requisite: CIS 2087 and CIS 3107 or consent of instructor.

Overview of different computer security threats and measures that can be taken to make computers more secure. Hands on experience with a wide range of security techniques will be used to show the various threats to computer systems. Both technical and management solutions to security problems will be discussed. Student will be required to sign a code of conduct at the start of class given the sensitive nature of the material covered. This course will attempt to cover the major aspects of security including: risk management, access control, security architecture, physical security, telecommunications security, cryptography, business continuity, and disaster recovery.

Gives students an in depth understanding of modern artificial intelligence methodologies, techniques, tools and results. Students learn the theoretical and conceptual components of this discipline. Topics covered: history of AI, search techniques, knowledge representation, reasoning, natural languages, machine learning, robotics, neural networks and expert systems. Students implement the above topics by means of computer programs written in laboratory. Interactions between artificial intelligence and other disciplines will be explored.