Raikes School of Computer Science and Management (RAIK)

Description: Introduction to financial and managerial accounting, and accounting information systems. Content integration and application, problem-solving and situational analysis.

Description: Introduction to microeconomics and macroeconomics. Content integration and application, problem-solving and situational analysis.

Description: Introduction to problem solving with computers. Problem analysis and specification, algorithm development, program design, and implementation. JAVA in a Windows platform.

Description: Problem solving with computers. Problem analysis and specification, data structures, relational databases, algorithm development, and program design and implementation. Discrete mathematics topics, propositional and predicate logic, sets, relations, functions, and proof techniques. Software Development Principles.

Description: Introduction to personal development and its application to leadership.

Description: Continued pursuit and analysis of personal development and its application to leadership. Introduction to teams.

Description: Introduction to oral and written communication within the context of the Raikes School. Basics of writing, editing and presentation.

Description: Basics of writing, editing, and presentation.

Description: Probability calculus; random variables, their probability distributions and expected values; t, F and chi-square sampling distributions; estimation; testing of hypothesis; and regression analysis with applications.

Description: Focus on operations management. Introduction to advanced management principles and accounting system development. Content integration and application, problem-solving and situational analysis.

Description: Continuation of operations management topics including advanced management principles and accounting system development. Content integration and application, problem-solving and situational analysis.

Description: Advanced data structures and algorithms that solve common problems and standard approaches to solving new problems. Analysis and comparison of algorithms, asymptotic notation and proofs of correctness. Discrete mathematics. Induction and principles of counting and combinatorics as foundation for analysis.

Description: Introduction to fundamental organization and structure of computer systems. Boolean logic, data representation, processor organization, input/output, memory organization, system support software and communication.

Description: Making sense of yourself and others. Applications to team communication and shared leadership development.

Description: Continued making sense of yourself and others. Further applications to team and shared leadership communication and development.

Description: Application of oral and written communication within the context of the Raikes School of Computer Science and Management. Professional writing and oral presentations.

Description: Principles of effective written business communication. Focus on effective writing strategies used in business disciplines.

Description: The marketing system, its relations with the socioeconomic system, and the influences of each upon the other. Evolution and present structure of marketing institutions and processes. Customer attributes and behavioral characteristics, and how a marketing manager responds to these in the design of marketing strategies, using research, product development, pricing, distribution structure, and promotion.

Description: Introduction to approaches using data for prediction and learning. Exploration of data for linear and nonlinear data modeling, machine learning, and supportive methods from statistics and numerical methods.

Description: Focus on time series and random processes, simulation, network models, and constrained optimization for business modeling and decision making.

Description: Legal, ethical, and social issues related to the development and use of computer technology. Basic legal principles needed to recognize the relevant issues and the legal implications of business situations. Ethical theory, and social, political, and legal considerations. Scenarios in problem areas: privacy, reliability and risks of complex systems, intellectual property, and responsibility of professionals for applications and consequences of their work.

Description: Macroeconomics and introduction to advanced topics in accounting systems, finance, management and information systems. Content integration and application to problem-solving and situational analysis.

Description: Microeconomics. Continuation of advanced topics in accounting systems, finance, management and information systems. Content integration and application, problem-solving and situational analysis.

Description: Proper principles and methods of engineering software. Requirements, design, implementation, management and software evolution.

Description: Application of established numerical analysis techniques to selected business and finance problems, finite difference applied to standard options or stochastic processes in modeling financial markets.

Description: Application of Raikes School core content in a team oriented, project management setting. Complete projects in consultation with private and public sector clients.

Description: Application of Raikes School core content in a team oriented, project management setting. Complete projects in consultation with private and public sector clients.

Description: Application of Jeffrey S. Raikes School of Computer Science and Management core content in a team oriented, project management setting. Complete projects in consultation with private and public sector clients.

Description: Application of Raikes School core content in a team oriented, project management setting. Complete projects in consultation with private and public sector clients.

Description: Concepts of relational and object-oriented data modeling through the process of data model development including conceptual, logical and physical modeling. Techniques for identifying and creating relationships between discrete data members, reasoning about how data modeling and analysis are incorporated in system design and development, and specification paradigms for data models. Common tools and technologies for engineering systems and frameworks for integrating data. Design and analysis of algorithms and techniques for identification and exploration of data relationships, such as Bayesian probability and statistics, clustering, map-reduce, and web-based visualization.

Description: Formulation and application of business policies and strategies; analysis of cases using knowledge acquired in basic courses in accounting, economics, finance, human resources, information systems, marketing, and operations. The "C" complexity of business problems and the interrelationship of business functions.