IS Course Description

Credits: 2 (2,0,1) * For non-IS and CS majors

This course examines computers and information technology and their applications in society. Topics covered include database applications and implications, telecommunications and networking, artificial intelligence, graphics, hypermedia, and multimedia. An outlook on computers current and future impacts on individuals, business, and society as a whole are discussed and students are introduced to simple Web page design and development tools.

Credits: 3 (3,0,1) Prerequisites: BUS 101,CS101

This course presents an overview of information systems including the introduction to systems, development concepts, information technology, and application software. The major role of information systems (IS) is to support organizational personnel, regardless of their functional area or level in the organization. The main focus of this course is not merely learning the concepts of IS but the learning of the competitive advantage, timelines, and improvement in quality which information technology provides. The theory is complemented by practical work aimed at gaining basic proficiency with different types of widely used application software.

Credits: 3(3,0,1) Prerequisite: IS201

This course introduces the key concepts and approaches to business process management and improvement. The focus is on understanding and designing business processes. Students learn how to identify, document, model, assess, and improve core business processes. Process design principles are introduced and the ways information technology can be used to manage, transform, and improve business processes are discussed. Students are exposed to challenges and approaches to organizational change, domestic and offshore outsourcing, and inter-organizational processes.

Credits: 3 (3,0,1) Prerequisites: IS 201, CS 210

This course provides an overview of requirements engineering and system analysis using the object-oriented paradigm with an emphasis on the models provided by the Unified Modeling Language (UML). Topics include the structured approach to systems analysis and design; foundations and elements of the object-oriented approach; approaches to identifying classes and objects, requirements and system modeling using UML diagrams relevant for the analysis phase; system design concepts, introducing various architectural design approaches, and object-oriented design methodology. Students work on a team project that requires designing a system and making use of the available CASE tools such as Rational Software.

Credits: 3(3,0,1) Prerequisites: IS 201, CS 210

This course introduces relational database management systems. Concepts and items centering on databases include approach, system components, views, environment, and development process. The course has a strong practical component where students apply what they learn using the Entity-Enhanced Relation (EER) models, relational algebra and SQL programming language as they work on their team projects.

Credits: 3 (3,0,1) Prerequisite: IS 241

This course covers the major aspects of web programming and development. It starts with a short introduction on the web architecture and underlying technologies, HTML, Cascading Style Sheets and JavaScript (Client Side Dynamic Content). The course then proceeds to cover Server Side Web Application Development in depth, including the multi-tier development model (data tier, business tier, presentation tier), web database development, authentication, and navigation.

Credits: 3(3,0,1) Prerequisites: IS 205

This course explores the design, selection, implementation, and management of enterprise IT solutions. The focus is on applications and infrastructure and their fit with the business, specifically Services and Service Oriented Architectures. Students learn frameworks and strategies for infrastructure management, system administration, data/information architecture, content management, services computing, middleware, legacy system integration, system consolidation, software selection, the total cost of ownership calculation, IT investment analysis, and emerging technologies such as services and agents.

Credits: 3(3,0,1) Prerequisites: IS 231

The course introduces the principles, theories, methods, techniques, patterns, and processes behind a professional user interface design, prototyping, implementation, and evaluation. The topics covered in the course include: cognitive and perceptual constraints that affect user interface design, technologies used in user interface development, software architecture of graphical user interfaces (GUI), interface design methods, user-centered design, mobile and tablet design, interaction and navigation techniques, evaluation and testing, and interface usability evaluation. The practical part of the course is supported by lab sessions and uses GUI Tools for rapid prototyping of new style interfaces such as the “Metro Style”.

Credits: 3(3,1,0) Prerequisite: IS 251

This course covers main aspects of process and product quality assurance. Process quality assurance is covered under software configuration management (SCM) and product quality assurance is covered under dynamic and static testing. The course presents testing strategy, software reviews, and testing methods. In addition, it covers SCM as a related process and SCM functional areas of source code management, builds engineering, environment configuration, changes control, releases engineering and deployment are explained. After completion of this course, students will be able to prescribe testing and configuration management techniques for any kind of IT project.

Credits: 3 (3,0,1) Prerequisites: IS 241

This course provides students with the knowledge and skills they need for planning, scheduling, monitoring, and controlling the process of developing information systems. Topics covered include project management concepts, project planning, risk analysis, WBS and task analysis, time scheduling, PERT and GANTT charts, project effort and cost estimation techniques, resources allocation, project tracking and monitoring, and process management methodologies.

Credits: 3 (3,0,1) Prerequisite: IS 241

This course introduces students to the enterprise resource planning (ERP) approach and how various business processes are integrated and how information systems can support this integration. Topics covered include business processes, functional information systems (financial, marketing, production, resources, inventory, and decision-making), models, frames, the technology used for integration, business integration, business processes, systems integration, enterprise resource planning systems and the role of real-time information in business management. Hands-on experience with enterprise systems, such as SAP R/3.

Credit: 3 (3,0,1) Prerequisite: STAT101-IS241

This course introduces fundamental quantitative methods used to analyze and solve various models of business problems. The course presents a set of fundamental theories and concepts including probability theory, time series, mathematical programming, and Markov processes. Such tools are then used model and solve a variety of business problems in finance, transportation, inventory management, etc. The course aims to equip the student with the necessary knowledge and skills allowing them to perform quantitative analysis to solve some business models including forecasting, distribution, transportation, and inventory models. After completing this course, students are expected to use software tools to solve these common management problems as well as constrained optimization problems. Students will gain some experience in applying these quantitative tools to real-world problems.

Credits: 3 (3,1,0) Prerequisite: IS 241

The course surveys the health-care information systems and applications. Items and topics examined include definitions, evolutions, trends, applications, computerized patient records, medical decision support systems, clinical information systems, Internet-based medical decision support systems, and computer-based training for health professionals.

Credits: 3(3,0,1) Prerequisites: IS 311

This course has two main objectives. The first objective is to introduce visual principles as the basis for graphic design in order to develop a sound foundation that enables students to cater to stakeholder’s requirements of communication using business logos, website graphics, and colors. The second objective is to enable the students to develop and combine the expertise of visual communication with dynamic website development. The course contents are specially designed to produce experts for graphics and website design industry with skills in constructing interactive Graphical User Interfaces, design, and development of creating graphics for websites and dynamic website development.

Credits: 3(3,0,1) Prerequisites: IS 450

This course introduces students to the fundamental techniques and practical tools used for transforming corporate data into business intelligence. Topics covered include: terminology, importance, techniques, such as: Online Analytical Processing (OLAP) systems, artificial neural networks (ANN), rule-based systems (RBS), fuzzy logic (FL), machine learning (ML), classification trees, classification and regression trees (CART Algorithm), and applications.

Credits: 3(3,0,1) Prerequisites: Junior Level

The course will provide the fundamental knowledge of digital transformation concepts. Digitalization is having an impact on organizations at different levels, affecting their structures and the strategies. The Course will provide information about the roots of digital transformation and what is the future of Digital Transformation (DT). It will examine the process that contributes to the transitions to a digital society and economy. Students will understand the problems that the digital transformation might arise and, at the same time, to assess the new opportunities that the digitalization produces. Students will get a clear overview of how digitalization tools contribute to the development of problem-solving strategies. The course will provide an overview of the digital technology trends like Machine Learning (ML), Artificial Intelligence (AI), Cloud, Internet of Things (IoT), Big Data, cutting edge technologies and Blockchain. The course will also cover the essential aspects of the digital transformation, such as data management, and provide an overview of innovative digital tools. At the end of the course, students will be able to understand the primary dynamics of digital transformation and general digital tools, methods, and techniques and how these could be applied by private and public actors to tackle organization and society problems. The course will introduce the case studies of basic application of machine learning and big data for real time problem-solving strategies.

Credits: 3(3,1,0) Prerequisites: IS 450

Students will learn how to plan, implement, and manage organizational changes in preparation for digital transformation. It will provide participants with a solid framework for systematically identifying areas of digital transformation that require change management. Students will learn how to manage their organization's transformation journey by following instructions. They will be able to tailor a robust change management plan to address the current issues and prepare their organization for future challenges by applying the principles of change management frameworks. In this course, students will learn about digital talent management, principles of effective organizational change management, vision and case for change, key stakeholder management, communication and training management, and sustaining culture change.

Credits: 3(3,1,0) Prerequisites: IS 450

The course offers a comprehensive description of the latest technological trends adopted in the digital transformation frameworks. Recognizing the rapid pace of change and its implications for businesses, the course delves into the best practices for adopting the latest technological trends in digital transformation. Topics covered include technology frameworks that assist in identifying key areas for digitization, encompassing strategies, core processes, and technology. The course also provides insights into the contextual factors influencing this transformation and the essential elements for achieving success in the digital age. Additionally, students will gain insights into the economics of innovation, technology, and market disruptions.

Credits: 3(3,1,0) Prerequisites: IS 450

To stimulate business growth, enterprises are increasingly relying on digital innovation and investments. This course provides an overview of the current and future approaches to successfully orchestrate various stakeholders and advance digital business; digital product management plays a critical role. Also, issues related to transitioning from a project-centric to a product-centric model are discussed. Student will be exposed to the significant adjustments required to the current business models to discover the fundamentals of product management, the business model canvas, pricing and segmentation, the digital product life cycle.

Credits:3(3,0,1) Prerequisites: CS210 & STAT101

Modern organizations deal with huge amount of complex multisource data that may contain useful evidence. The decision makers may face real problems to analyze such data to come out with accurate decisions. Therefore, applied data sciences are there to help leaders analyze the data and extract valuable indicators for decision-making purposes. This course provides the students with the essential knowledge, as well as, the practical skills of applied data sciences to be used in various business domains; and it will incorporate the statistical skills, programming skills such as Python, and machine-learning algorithms, to enhance the hands-on skills of students.

Credits:3(3,1,0) Prerequisites: Department Consent

The course covers methods of constructing a Geographical Information System (GIS).Students acquire the necessary skills to prepare intelligent maps with spatial databases for parcel mapping, planning, zoning, facility mapping, creating buffer zones, slope analysis, and neighborhood and zone analysis, using CAD map software packages.

Credits:3(3,1,0) Prerequisites: Department Consent

This course covers the fundamentals of data management and governance, including data governance roles, data security and privacy, metadata management, and data breaches. Students will learn how to manage data effectively, understand the importance of data governance, and develop skills in data management, data security, and data privacy.

Credits:3(3,1,0) Prerequisites: IS 361

Environmental, economic, and societal challenges are affecting the sustainability of many communities around the globe. Information systems are also affected with these factors. Thus, one of the organizations’ concerns is considering the sustainability. This course introduces students to the sustainability fundamentals in information systems. It includes topics on Green IS, Smart Cities, and the Information Economy. The course helps the students to explore and evaluate different issues related to green IS solutions through case-based scenarios and to propose proper solutions for these issues.

Credits: 3(3,0,1) Prerequisites: IS 231, BUS 101

This course surveys knowledge-based and expert systems and their uses as organizational decision-making tools. Topics covered include: decision theory, organizational systems, unstructured problem solving, modeling techniques such as linear programming, forecasting, and, simulation, system construction, fundamental techniques for developing knowledge-based or expert decision support systems, inference engines, knowledge engineering, knowledge acquisition, rule-based systems, group decision support systems, executive information systems.

Credits: 3(3,0,1) Prerequisite: IS 231

The course explores both the theory and practice of business process modeling (BPM). It begins by providing an initial foundation of knowledge on the elements of the business process. This is followed by discussions of the elements and aspects of building BPM models: notation, context diagrams, data flow, verification, and validation. Extensive examples of business process models from real-life situations - complemented by tips and techniques - are integrated into the course to stimulate and provoke thought about the functionality and improvements of BPMs.

Credits: 3(3,0,1) Prerequisite: CS330,CS331

The course aims to provide the knowledge of the basic principles of computer security, focusing on system elements. This course provides students with the necessary level of skills and knowledge in the areas of information security that they will need to function within an organization. The focus is to review concepts, theory, methodologies and techniques incorporating industry standards and practices with a focus on confidentiality, availability, and integrity aspects of information systems discussed in the IS security literature and current practice. Students will undertake case studies exercises using the University's computing facilities and laboratories to provide them with a better understanding of computerized security techniques used in practice. The course covers fundamentals of authentication, and encryption technologies in a networked environment, in particular in the wide-area internet environment. The main emphasis of the course is the management of information systems security efforts.

Credits: 3(3,0,1) Prerequisite: Department Consent

This course covers topics that recently gained attention in information systems. All computing fields are very dynamic and from time to time, some new technologies and even disciplines pop up.

Credits: 3(3,0,1) Prerequisite: Department Consent

This course covers topics in the information systems discipline, which are not covered by other information systems courses. The students are encouraged to propose topics for this course.

Credits: 10 Prerequisite: Department consent

The Co-Op is a career related professional program available to all Computer Science students. It is designed to help students build on skills already learned in the classroom and acquire new ones as well. Co-Op education is available to CCIS students who have accumulated the requisite number or more credits. The Co-Op option counts for 10 credit hours (CRs) for practical onsite experience over a 7 month period, i.e. spanning one semester and a summer.

Credits: 3(3,0,0) Prerequisite: Completion of 88 credit hours + Department Consent

Building on IS Senior Project 1, in this course students will collaborate as a team to apply the knowledge and skills acquired throughout their degree program. The course aims to allow the students to be familiar with Principles and practices for developing inclusive and accessible computing solutions that address the needs of diverse user communities. Additionally, they will engage in research and the development of new skills while designing, developing, and delivering an information system solution. As they navigate the inherent ambiguity and complexity associated with creating an information system solution, students will receive support from the university environment and their academic supervisor. Upon completing the course, each group is expected to submit a final report documenting the process undertaken during project development and the key findings of the project. Furthermore, the project solution must be presented upon the conclusion of this course.

Credits: 3 (3,0,1) Prerequisites: IS 241

The primary objective of this course is to introduce concepts, tools and approaches to electronic business. Further, the subject will help the students to develop skills to manage businesses in the digital world. The course will cover the foundations of E-Business systems and infrastructure required to set up an E-business. In addition, the course will focus on the functional areas enabled by E-Business such as Value Chain, ERP and SCM highlighting the significance of CRM and business intelligence in E-Business Systems. The course provides a balanced approach including concepts from technology and management. Hands-on experience with enterprise systems, such as SAP S/4 Hana, is an integral element of the course.

Credits: 3(3,1,0) Prerequisite: BCE409, MKT301

The focus of this course is on the business and marketing aspects of e-Commerce systems. The course starts with an overview of the business strategies, planning, and logistics for setting up an e-Commerce system. After that, the course discusses strategic marketing analysis, marketing planning, and the complexities of marketing decisions. An important component of the course considers the utilization of Search Engines and Internet Marketing.

Credits: 3 (3,0,1) Prerequisites: BCE 409 , MKT 301

The course will teach students to use Mockshop and a virtual 3D store modeling software package, to conceptualize and design store interior, layout, fixtures, lighting, signs, merchandising planograms. Students will learn in deep on understanding of visual merchandising concepts, theories, planning, strategies, techniques, store image, and target market. At the end of the course, students will be implementing the Virtual retail store.

Credits: 3(3,1,0) Prerequisites: BCE 409

This course examines entrepreneurial strategies for emerging ventures, growing ventures, sustainable growth in established ventures. The object of this progression is to acquaint students with the concepts and contexts of building new businesses, their relevance and application to organizations in today’s economy; the formulation and application of new business strategies for both Independent startups and new ventures within existing organizations; and achieving innovation in existing established organizations through entrepreneurial strategies.

Credits: 3 (3,0,1) Prerequisite: BCE409, IS371

An organization must constantly monitor, recognize and understand every aspect and every issue of its operations, its industry and the overall business environment, to successfully compete in today’s global business environment. This course focuses on business intelligence – an information technology approach to data collection and data analysis to support a wide variety of management tasks, from performance evaluation to trend spotting and policy making. Students learn analytical components and technologies used to create dashboards and scorecards, data/text/Web mining methods for trend and sentiment analysis, and artificial intelligence techniques used to develop intelligent systems for decision support. Students will learn participate in this course through class discussions, project preparation and presentation, and visual tool utilization.