Course descriptions

Covers the following topics: construction of statistical models, especially the use of statistical tools and techniques such as chi-square tests of independence, analysis of variance, simple and multiple linear regressions and correlation. The course materials will be supported by computer application using a statistical computer software.

This is a course in the calculus of one variable intended for students who pursue a degree in business and economics, but not in computer science. It is open to others who are qualified and desire more mathematics course at the core level. Topics include a brief review of polynomials, rational, exponential, and logarithmic functions, followed by discussion of limits, derivatives, applications of differential calculus to real-world problem in business and economics. An introduction to integration concludes the course.

Provides an introduction to differential and integral calculus. Includes limits, derivatives and applications of derivatives such as related rates, Newton's method, the Mean-value Theorem, Max-Min problems, and curve sketching. Covers integrals, the Fundamental Theorem of Integral Calculus, and applications of integrals, volumes, and average values.

Topics include integration techniques for exponential and logarithmic functions, inverse (trigonometric) functions, hyperbolic functions, the use of polar coordinates, improper integrals, some introductory basics of 1st order ordinary differential equations, infinite series and their convergence and divergence, power and Taylor series and their radii of convergence.

Studies of linear equations and their matrix representations. Introduces the Gaussian elimination methods and determinants in matrix algebra. Reviews the geometric vectors in two and three dimensions and their linear transformations. Define vector spaces; linear independence; basis; row; column and null spaces; rank and nullity.

Topics selected from vector spaces, bases, linear transformations, matrices, canonical forms, Eigen values, hermitian and unitary matrices, inner product spaces, and quadratic forms.

Presents a basic introduction to probability, statistics, and data analysis. The topics covered include visualizing data, summary statistics, simple and conditional probability calculations, discrete and continuous probability distributions, and using p-values for basic hypothesis testing. Further, ideas from the course will be investigated computationally via short projects using a computer program such as Excel, Python, R, or MATLAB, etc.

Topics include vectors, cylindrical and spherical coordinates, vector-valued functions, arc length and curvature, functions of several variables, partial and directional derivatives, gradients, extrema, Lagrange multipliers, multiple integrals, change of variables, surface area, vector fields, Stokes’ Theorem.

Topics will be chosen from: linear differential equations, equations with constant coefficients, Laplace transforms, power series solutions, and systems of ordinary differential equations.

Limits, continuity, and differentiability of functions of one and several variables, sequences and series, and the Riemann Stieltjes integral.

Provides an introduction to numerical analysis. The main topics covered are: Propagation of floating-point error; Zeroes of nonlinear functions: Bisection method, Newton’s method, Secant method, fixed point method; convergence criteria, rate of convergence, effect of multiplicity of zero; introduction to the use of Newton’s method for systems of nonlinear equations. Systems of linear equations: Gauss elimination, LU and Cholesky factorization, ill-conditioning, condition number; iterative methods: Jacobi, Gauss-Seidel, SOR, convergence criterion. Interpolation and Quadrature: Lagrange interpolation, error formula; Newton-Cotes and Romberg quadrature.

Introduction to groups, rings, and fields, with emphasis on groups and rings.

The course will cover various advanced topics in applied mathematics, and can be taken more than once for credit. Examples of such topics are: Fast transforms, digital filters, etc.

This course is designed to provide an overview of physical activity and lifetime personal fitness. The course introduces different components of fitness, different types of aerobic/anaerobic exercises, flexibility and body composition, muscular strength and endurance and management of personal fitness and nutrition. The course covers a variety of lifetime activities that promote health and well-being.

This is an introductory course for students in non-science majors presenting physical principles and laws through examples from everyday life experiences. Topics covered include inertia, speed and velocity, acceleration, Newton’s laws, projectile motion, rotational motion, work and energy, friction, conservation laws, equilibrium, Hooke’s law, fluids and their motion, heat and thermodynamics, mechanical waves and resonance.

Introduces concepts of modern physics such as relativity, quantum mechanics in addition to atomic and nuclear physics. Builds up awareness about the energy future of our planet.

Introduces basic concepts and laws of mechanics and fluids with emphasis on enhancing the problem-solving skills of the students. Topics covered include kinematics in one and two dimensions, Newton’s laws, rotational motion, simple harmonic motion, and introduction to fluid mechanics.

Provides students with laboratory experience to enhance theoretical knowledge gained from PHYS 110 lectures. Investigates measurements involving speed, acceleration, forces, momentum, energy, and more. Provides experience in analyzing measured data and estimating of uncertainties.

Required for students majoring in engineering, the course is based on calculus. Topics include concepts in electromagnetism together with their relationship to practical applications.

Provides students with Laboratory experience and supports fundamental knowledge in electromagnetism. The course equips students with hands-on-experience and deepen the understanding of the relations between experiment and theory.

This course covers the basic concepts of networked computers including the basics of file management on local and remote computers, electronic mail, internet browsers, and web page development. Students are also exposed to applications used in business for solving problems, communicating, and making informed decisions, including word processors, presentation software, and electronic spreadsheets. Students will also develop business applications using a popular programming language or database management tool. Credit cannot be granted for both CSC 101 and MIS 118 for Computer Science students.

This course provides the foundation necessary for understanding management information systems. It discusses the importance of information systems in digital age. It is concerned with how information systems are essential in business and how companies use information system (and e-business) as competitive advantages. The course also discusses the information technology (IT) infrastructure in terms of hardware and software, databases, information management, telecommunications, the Internet, wireless technology, and security of information systems. The course also discusses some issues related to decision making using information systems as well as ethical and social issues in information systems. Students will explore several MIS software relevant to the business environment.

An introductory course in object oriented programming. The fundamental concepts of programming, structured program design and object oriented programming are studied using modern programming language.

Examines the fundamental principles of developing mobile business applications for portable platforms such as iPhone or Android. It introduces the concept of mobile business and discusses the increasing power, functionality and proliferation of mobile computing devices and the associated opportunities available for business through mobile applications. Additionally, the course introduces design patterns related to the development of mobile applications, and it discusses mobile portals and m-commerce systems. Students will create their own iPhone/Android applications.

The course introduces advanced programming skills and focuses on the core concepts of object-oriented programming and design using a modern language. The course focuses on the understanding and practical mastery of object-oriented concepts such as classes, objects, data abstraction, methods overloading, inheritance and polymorphism. Moreover, the course illustrates how to handle exceptions and connections to external data sources.

System analysis and design is the art of problem solving. Systems analysis is the study of current business system and its problems, the determination and definition of business needs and information requirements, and the evaluation of alternative solutions. Techniques and philosophies of systems analysis are addressed in this course. Included are traditional versus structured design methods, computer-based tools for systems analysis, workbenches, design and analysis of database systems, maintenance of existing information systems, human/machine interfaces and security & control.

Recent advances in the production, use, and management of information present many new opportunities, but also raise ethical challenges that information professionals must confront. A study of ethics and moral philosophy as a means for providing a framework for ethically grounded decision making in the information age. Issues will be considered from the point of view of multiple ethical theories, giving students the opportunity to think critically about the issues and draw their own conclusions. In other words, this course is designed to teach you several ways of analyzing a situation so that you can identify and resolve ethical issues related to information technology using logic instead of emotion.

This course is concerned with information and communication. The effect of the Internet on communication and how the introduction of the Internet has reshaped the field of communications; This course focuses on the type of business information systems and the need for distributed data processing at the application layer. The course also extends to cover the Transmission Control Protocol/Internet Protocol (TCP/IP) and the Open Systems Interconnection Protocol (OSI). The course further discusses Client/Server and Intranet Computing; Internet based applications, Ethernet and Wireless Area Networks (LAN) architecture and protocols. Wide Area Networks (WAN) such as frame relay and ATM as well as switching techniques are also discussed. The course is also concerned with computer and networks management and security as well as network planning and design. The course also touches on Internet2 (I2) as the next generation of Internet services. It is imperative that anyone dealing with business administration should have a solid understanding of the principles of data communications in order to become aware of how it can be used to gain (or not) a competitive advantage.

This course provides an introduction to the design and use of databases in meeting business information needs. Topics include database planning, conceptual design, and data administration. The concepts are studied with projects involving the use of a current database management system.

This course focuses on web page planning, design, layout and construction. Topics covered include: setting up and maintaining a web site; understanding site structure, presentation, navigation and content management. HTML/XML, CSS, Dreamweaver, Fireworks, Flash, Photoshop, data access, scripting languages, and various other technologies and tools will be discussed.

This course focuses on how knowledge is created, captured, shared, stored and reused so as to fully leverage the intellectual assets of a firm. The tools and techniques for knowledge acquisition, assessment, evaluation, management, organization and dissemination are applied to business situations. Topics include knowledge generation, knowledge coordination and codification, knowledge transfer and reuse, technologies and knowledge management strategies. The goal is to enable you to learn about this practice in the context of managing the design, development and operation of information technologies that can facilitate KM.

This course aims to provide an extensive overview of the technology of cloud computing and its practical applications. It covers several topics, including an introduction to cloud concepts, virtualization technologies, architectures, networking, cloud resource management, programming models in clouds, cloud storage systems, and security issues. The course also focuses on various cloud services, such as Infrastructure as a Service(IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), and emphasizes the development of hands-on-skills in cloud computing technologies such as Amazon Web Services (AWS) and Microsoft Azure.

This course will equip you with a strong foundation in the principles and practices of data mining, allowing you to apply these techniques in a variety of real-world settings. Student will gain a comprehensive understanding of the fundamental principles, uses, and technical details of data mining techniques. You will also have ample opportunities for hands-on experience, allowing you to apply the concepts you learn to real-world applications. The course will cover a range of topics related to data mining, with a particular focus on decision trees, classification, clustering, and regression.

This course offers a comprehensive exploration into the foundational aspects of big data and data warehousing. It is designed to provide students with a deep understanding of the key concepts, technologies, and theoretical underpinnings of big data and how data warehouses are conceptualized, designed, and utilized in modern business environments. The course covers a broad spectrum of topics, including the characteristics of big data, various types of data storage systems, data processing concepts, and an overview of data analysis techniques.

Business Intelligence is an umbrella term that combines architectures, tools, databases, analytical tools, applications and methodologies. Business Intelligence's major objective is to enable easy access to data (and model) to provide business managers with the ability to conduct analysis. Therefore, it helps to transform data into information (and knowledge), to decisions and finally to actions.

This course provides an understanding of strategies, managerial issues, and technologies pertaining to electronic commerce in organizations. Topics covered include: history, business models, the virtual value chain, electronic markets, impact on organizational strategy and industry structure, analysis of successful strategies, and other emerging issues (legal, ethical, regulatory) related to managing electronic commerce, and the technical infrastructure enabling electronic commerce.

This course is designed to familiarize students with the concepts of cybersecurity. The course will provide the students with the fundamental knowledge and skills of cybersecurity. The course is designed to provide a basic introduction to all aspects of cyber-security which include: business, policy, procedures, communication, security, information secuirty planning, and staffing functions. In addition, the course emphasizes understanding the key issues associated with protecting information assets, network security, security management, legal issues, political issues and technical issues. Students will be immersed in the cybersecurity discipline through a combination of open-ended and real-world problems and hands-on experiments.

System design, implementation, and methods of systems installation and operation are presented. A system development project is required. This course builds on the skills learned in MIS 310 and has at its core the design and development of an information system.

cybersecurity concepts and their application in a corporate setting. It covers topics such as corporate cybersecurity, digital forensics, and ethical hacking. The course will combine theoretical knowledge with practical applications using industry standard tools and methodologies to equip students with the skills needed to address cybersecurity challenges in modern businesses environments.

This course covers recent trends and pressing MIS issues and topics that reflect areas of expertise of the faculty and their research interests that are suitable for exposure in the MIS major. This course may be taken more than once as an MIS elective.

This capstone course offers you the opportunity to apply your academic experience to conduct an experiential learning project in a designated field and apply your education in a practical manner. Students will work in teams on a single project for one partner organization. This experience will help students enhance their skills in oral and written communication, apply the knowledge acquired during the program to solve business problems involving actual data and information systems in a realistic setting, manage team dynamics, and develop a fundamental understanding of all practical aspects of MIS program of study. This course is suitable for senior students only. The course content is updated regularly to take into account the latest software and MIS practices.

MIS Internship

This course is a graduate-level course in Management of Information Systems (MIS). It is offered through GUST’s Master of Business Administration (MBA) program. The course covers several aspects of MIS and is intended for management-level professionals. The course discusses the importance of MIS in today’s competitive business environments highlighting how managers can use MIS to enhance their decision-making process and to better compete with IT in today’s market. The course also discusses the difference between information technology (IT) and information systems (IS) addressing the different avenues of information systems such as database management systems, telecommunications and networking, information systems security, e-business, ethical and legal aspects of information systems, strategic information systems, and the effect of the Internet on information systems (online information systems). The course is also concerned with the information system life cycle including systems analysis, design, and implementation.