Introduction to the concepts of Management Information Systems. Topics include information systems support to organizational activities and functions. Fundamentals of database management and data communication concepts. Strategic applications of information systems. An overview of system development processes and the fundamentals of system analysis and design.
Development of framework for planning the introduction, evolution, and assimilation of information technology (computer, telecommunication, office automation) into the organization. The specific role of top management in designing a long-range information architecture is stressed. Prerequisite: MIS 502 or equivalent
Use of information systems in business; digital systems; digital transformation; IT architecture and infrastructure; strategic information systems and its role in creating competitive organizations, managing global corporations and adding business values. Topics covered include information systems strategy triangle, security, business intelligence, privacy and ethical considerations.
Data management concepts. Database support for various levels of management. Relational database model. Database development life cycle. Data modeling. Conceptual, logical and physical database design. Database integrity. Database languages and technology. Data and database administration.
Learning the mechanics and techniques in the analysis and design of information systems from a problem-solving perspective. Applying various methodological approaches of developing information systems including feasibility studies, systems planning, analysis, design, testing, implementation, and maintenance.
Introduction to Artificial Intelligence; Introduction to Machine Learning and Deep Learning; Human-AI Collaboration; Intelligent Finance: AI Redefining Accounting and Finance; Digital Frontiers: Exploring AI's Impact on Financial Strategies; Future Finance: Navigating the AI Revolution in Accounting; Harnessing the Power of AI in Marketing
Study of the decision-making processes. Comparison between Management Support Systems (MSS) and conventional information systems. Decision Support Systems (DSS), Group DSS, Executive Support Systems, Expert Systems, and NeutralNetwork Systems. Applications of MSS. Integration of Management Support Systems. Behavioral and technical issues in the implementation and operation of MSS. Prerequisite: MIS 512
Study of contemporary issues and concepts in Management Information Systems and management of information technology. Use of presentations based on periodicals, book reviews, cases, and student term papers. Students will participate in class presentations. Prerequisite: MIS 510
Covers issues that the modern organization must deal with in making strategic decisions concerning the choice, implementation, and execution of electronic business solutions. Strategic use of IT and its impact on business performance. Opportunities and inherent risks of IT use. Electronic business models. Electronic value chain.
Evolution of ERP systems. Fundamentals of business process reengineering, process mapping, ERP technical and functional features. ERP Selection, acquisition and implementation. Challenges associated with implementing ERP systems and their impacts on organizations. Use of ERP systems to support business operations and decision-making. Use of project management techniques to emphasize team dynamics and management skills.
Foundations of BI. Role of BI in accessing and analyzing information for better business decision making. Topics covered include BI framework, business process management & improvement, performance management & evaluation and IT-based business analytics and reporting. BI tools and best practices. Ethical, legal, and behavioral issues of BI.
Contemporary theory and practice of Knowledge Management (KM), with an integrated interdisciplinary presentation. KM perspectives arising from artificial intelligence, information systems, and organizational behavior. Technical components of computer tools and technology for managing knowledge. Leverage knowledge effectively within an organization. Evaluation the nature, computer representation, access, and utilization of knowledge versus information within a human context. Preparation for managerial, technical, and systems workers alike in today's modern knowledge-based economy.
Concepts and methods associated with security of information and information systems planning, designing, implementing, managing, and auditing security on various platforms, including worldwide networks. Risk management and disaster recovery. Techniques for assessing risk associated with accidental and intentional breaches of security. Legal and ethical issues related to the uses of information systems
Introduction and scope to business analytics. Topics include data issues, descriptive analytics, classification of learning algorithms, market basket analysis, logistics regression, ethical issues, R programing, data visualization, and application of business analytics tools in different industries.
Data wrangling, decision tress, logistic regression, support vector machines, naïve Bayes, nearest neighbors, neural network and text mining. Application of data analytics to different business problems.
Essential commands of both languages, working with the existing libraries, handling statistical functionality, preparing and visualizing the data, analyzing the data with different techniques
Presents a managerial perspective on the effective design and use of information systems for strategic advantage and maximum organizational performance. It links technology, the organizational implications of the technology, and ways to successfully incorporate information technology into organizations.
Focuses on the development of e-business strategies and management of related technology. The course examines the linkage of organizational strategy and electronic methods of delivering products, services and exchanges in interorganizational, national and global environments.
Covers issues that the modem business manager must deal with m making strategic decisions concerning the choice, implementation. and execution of electronic business solutions. Strategic use of IT and its impact on business performance. Opportunities and inherent risks of IT use. Electronic business models. Electronic value chain
A research proposal must be submitted in writing by the student and be approved by the supervising faculty member and the MBA Chairman prior to registration. The student is required to conduct a research study in the area of Management Information Systems that is business related and adheres to all elements of sound business research. The study methods and findings must be presented orally and in writing in a manner that is consistent with acceptable standards of research communication. Prerequisites: MIS 510, MKT 512
Embed business analytics concepts in a capstone project where students will form teams and go through an experiential learning process. Teams of 3-5 students will work on either different hypothetical projects with secondary data, or real-life projects with industry organizations to address data-related problems and provide viable business-analytical solutions.