Courses | Computer Science, B.S.

Introduction to computer hardware and software. Problem solving methods. Elementary concepts of algorithm development. C++ programming.

Linear lists, strings, arrays and orthogonal lists; graphs, trees, binary trees, multi-linked structures, searching and sorting techniques, dynamic storage allocation; applications.

Fundamentals of digital logic and the architecture of modern computer systems, machine level representation of data, memory system organization, structure of machine languages, assembly language programming.

Organization and structure of programming languages. Runtime behavior and requirements of programs. Introduction to programming language specifications and analysis. Study of various alternative languages such as Java, C++ and Python.

Computer operating systems; topics include time sharing, process communication, memory management, storage allocation, interrelationships between the operating system and the architecture of computer systems.

User interface design, implementation, and evaluation; event-driven programming in GUI applications and web applications; user-centered design methodologies.

Concepts of computer communications, local area networks, seven layers of communication protocols, global networks.

Concepts, principles, techniques, and documents of software engineering. Emphasis on systematic approaches to software engineering and the software life cycle. Team project required.

Various types of algorithms, analytic techniques for the determination of algorithmic efficiency, NP-complete problems, complexity hierarchies, and intractable problems.

Topics are selected from the following:

Compiler Theory: The theory of languages and their implementation.

Systems Programming: Design and implementation of language translators and system utilities.

Theory of Computation: Concepts from theoretical computer science, finite state concepts, decidability, computability, and Turing machines.

Computer Graphics: Computer interactive graphics, software structures, screen display, and graphical techniques.

Artificial Intelligence: Concepts and techniques of artificial intelligence, representation, search strategies, control, communication and perception, and applications.

Limits, differentiation and integration of rational and trigonometric functions, with applications.

Differentiation and integration of logarithmic, exponential and inverse trigonometric functions; various methods of integration; infinite sequences and series; parametric equations, polar coordinates.

Elementary properties of sets, discrete probability and combinatorial analysis, graphs, relations, orderings, functions, simple algebraic structures, binary arithmetic and other bases, methods of proof.

Topics from matrices, determinants, linear transformations and vector spaces.

Functions of one variable, approximate numerical solutions of non-linear equations and systems of linear equations, interpolation theory, numerical differentiation and integration, numerical solutions of ordinary differential equations.

Mathematical foundations of model building, optimization, linear programming models, game theoretic models.

An introduction to microeconomic analysis. Topics covered include consumer theory, the conduct of firms under competitive or monopolistic conditions, the causes and consequences of various market outcomes, and the role of government in regulating economic behavior.

Financial accounting concepts and techniques essential for all business majors and those seeking to learn the language of business; analyzing and recording transactions; preparation of financial statements; valuation and allocation procedures.

Financial accounting for corporations; analysis of financial statements; international accounting issues; introduction to managerial accounting; product costing and cost allocation procedures; budgetary control and responsibility accounting; analysis and techniques for planning and managerial decision making.

Students will study Information systems, their design, implementation and contribution to management planning, decision-making and control. The impact of information systems on the personal and spiritual lives of students as well as their impact on broader society will also be covered. Students will learn relevant business software applications through hands-on lab assignments.

Students with information technology skills will learn to analyze and design information systems. Students will practice project management during team-oriented analysis and design of a departmental level system.

Understanding the dynamics of human interactions and developing effective problem solving through sound communications; leadership, management or conflict, change and innovation; business ethics and societal relationships.

An examination and evaluation of financial decision making in the Corporate environment valuing future cash flows, characterizing risk and return and evaluating options available to firms to finance their operations or fund growth opportunities. Students will learn how to analyze financial data to provide information to management on how to improve the financial performance of their firm.

Advanced IS majors operating as a high-performance team will engage in and complete the design and implementation of a significant information system. Project management, management of the IS function, and systems integration will be components of the project experience.

Integrated database systems, logical organization, data description language (DDL), data manipulation language (DML), of hierarchical networks and relational databases, overview of selected database management systems (DBMS).

Topics are selected from the following:

Compiler Theory: The theory of languages and their implementation.

Systems Programming: Design and implementation of language translators and system utilities.

Theory of Computation: Concepts from theoretical computer science, finite state concepts, decidability, computability, and Turing machines.

Computer Graphics: Computer interactive graphics, software structures, screen display, and graphical techniques.

Artificial Intelligence: Concepts and techniques of artificial intelligence, representation, search strategies, control, communication and perception, and applications.

Fundamental principles of differential and integral calculus. Applications chosen mainly from the management sciences.

Elementary properties of sets, discrete probability and combinatorial analysis, graphs, relations, orderings, functions, simple algebraic structures, binary arithmetic and other bases, methods of proof.

Nature of statistical methods, description of sample data, fundamental concepts of probability, probability distributions, sampling, estimation, correlation and regression, application of same.