A study of computer concepts with an emphasis on the personal computer and its practical use, the impact of computers on society, and the knowledge required to be computer literate in today's digital world.

An introduction to the foundations of computer science and problem solving using a modern, high-level programming language. Not applicable toward a degree in Computer Science.

An introduction to algorithms and programming, with an emphasis on the basic design, implementation, and testing of solutions to numerical and non-numerical problems. Prerequisite: CSCI 1080 or credit or registration in a mathematics core curriculum course.

Continuation of CSCI 2000, with increased emphasis on program design (including structured and object oriented techniques, data structures, and algorithms). Prerequisite(s): Grade of 'C' or better in CSCI 2000 and credit in MATH 1011 or MATH 1013 or MATH 1031 or permission of the department head.

An introduction to discrete mathematical structures with applications to Computer Science. Topics include: logic, proof techniques, set theory, combinatorics, and functions. Prerequisite(s): Credit or registration in CSCI 2000 and credit in MATH 1011 or MATH 1013 or MATH 1031 or permission of the department head.

Basic logic, data representations, number systems,introduction to computer organization, and assembly language programming. Prerequisite(s): Grade of 'C' or better in CSCI 2000, CSCI 2026 and credit in MATH 1011 or MATH 1013 or MATH 1031 or permission of the department head.

An introduction to classic elementary data structures that builds on object-oriented concepts such as abstraction and inheritance. Topics include lists, stacks, queues, trees, graphs, sets, and maps. Prerequisite: CSCI 2003 with a grade of 'C' or better and CSCI 2026.

Presentation of current topics in the field of computer science with special emphasis on ethics. Prerequisites: CSCI 2073

The design and analysis of computer algorithms and data structures. Classes of algorithms studied include sorting, searching, graph, parallel and NP- complete. An in-depth study into both efficiency and design. Correctness and formal verification of algorithms. Prerequisites: CSCI 3026 and grade of "C" or better in 2073.

An introduction to programming language specification and analysis. Additional topics include programming language paradigms, runtime environments, binding strategies, compilers, and interpreters. Prerequisite: CSCI 2073.

The various types of abstract languages and their corresponding acceptors. The Chomsky hierarchy. Determinism and nondeterminism in language acceptors; problem decidability. The relationship of abstract languages and automata to computers. Prerequisites: CSCI 3005 and 3010.

Elements of the object model including abstraction, encapsulation, modularity, class hierarchies and inheritance, virtual functions, generic classes, and operator overloading. Methods for identifying classes and objects, notation for object-oriented design, the design process, and case studies. Prerequisite: CSCI 2073.

A study of advanced topics from discrete mathematics, with special emphasis to applications in computer science. Topics include: efficiency of algorithms, recurrence relations, number theory, mathematical induction, relations, and graph theory. Prerequisite(s): Grade of "C" or better in CSCI 2026 and MATH 1013 or MATH 1031.

The art and science of programming for web-based applications. Topics covered will include human-computer interaction, client-side and server-side programming, interfacing with net-centric databases, and electronic document encoding. Formerly CSCI 3040. Prerequisite: CSCI 2073.

An introduction to methods used in computer science research. Topics include techniques and conventions in research methods, evaluation approaches, and presentation of results. Prerequisite: CSCI 2026.

A study of advanced applications and their use in producing professional level presentations. Students will utilize problems from their major field of study, occupation, and/or other areas of interest. The word processor, spreadsheet, and other tools will be used to integrate the study into a desktop publication. Not applicable toward a degree in computer science. Prerequisites: CSCI 1070.

Numerical algorithms fundamental to scientific work including discussion of error. Prerequisite: CSCI 2003 and MATH 2002 and 1032. (Dual listed as MATH 3073.)

Introduction to the Internet from the user's perspective. Topics covered will include the history and operation of the Internet, Internet research strategies, and basic web-page design and construction. Not applicable toward a degree in computer science. Prerequisites: CSCI 1070 or departmental approval.

Involvement in practical computer projects. Prerequisite: Permission of department head.

Theory and implementation of operating systems including process management, device management, memory management, and file system management. Security, networking, and distributed operating systems. Prerequisites: CSCI 2053 and 3010.

Computer hardware architectures including microcomputers, minicomputers, mainframes and supercomputers; memory organization including cache and virtual memory; pipelining; RISC architecture; parallel processing architectures; comparison of representative architectures. Prerequisites: CSCI 2053.

An introduction to the discipline of statistics and its application to problems of biology, including human biology, medicine, and public health. Topics include Bayesian inferences, estimation techniques, hypothesis testing, goodness of fit, and analysis of variance. Prerequisite: Math 1014 or Math 1031 or permission of department head. (Same as Math 4020).

A continuation of 4020. Topics include linear and multiple regression, logistics regression, longitudinal data analysis, nonparametric methods and principal component techniques. Prerequisites: Math 4020 or CSCI 4020 and junior standing or above. (Same as Math 4021).

This course teaches the art and science of providing an Internet presence. It will cover several types of Internet services, concentrating on the World Wide Web. The course will cover support issues related to providing more advanced WWW services, including user support, security, operations, staffing, and purchasing. Prerequisite: CSCI 3030.

General principles of stochastic simulation. Model development, analysis, and validation. Comparison of alternative models. Use of special purpose simulation languages. Prerequisites: CSCI 3005 and MATH 3003.

Logical and physical data and file organization; relational data models; data normalization; query facilities; current literature in the database area. Prerequisite: CSCI 3005

A formal approach to state-of-the-art techniques in software design and development. This course includes the classic model of the software life cycle, proto typing, resource allocation in large scale software projects, software cost estimating, and project management techniques. Prerequisites: CSCI 3010, 3020 and 4055.

Planned and supervised work experience in student's major field. Open only to juniors and seniors in the Department of Computer Science who are approved for the Cooperative Education Program. Grades of CR (credit) or NC (no credit) will be awarded. May be repeated for a total of 9 credits. May not be applied to fulfill major requirements.

Technical aspects of data communications. ISO Open Systems Interconnect Model. TCP/IP protocol suite. Internetworking and routing. Prerequisite: CSCI 2073.

A formal treatment of programming language design and translation concepts. Programming language syntax and semantics. Finite and pushdown automata, scanners, symbol tables, parsers, machine-independent code generation. Prerequisite: CSCI 3013.

Fundamental concepts of graphics including enhancement, shading, two and three dimensional transformations, animations and hidden-surface problem. Prerequisites: CSCI 2073, MATH 2002 and Junior standing.

An introduction to the study of advanced topics in computer science, including parallel and distributed computing, formal languages and automata theory, and other current topics. Prerequisite: CSCI 3005.

Study of the computer in context with human thought processes. Heuristic programming; search strategies; knowledge representation; perception; learning; natural language understanding; user interfaces; intelligent systems. Prerequisites: 3005 and 3010.

Culmination of course work experiences with a full software life cycle project development. Focus on product planning, management, and delivery including testing and quality assurance. Generation of artifacts, including detailed specifications, design documents, and user manual. Prerequisites: CSCI 3005, 3020, 4055, and 4060.

1-6 credits; maximum, 6 cr. Open to advanced undergraduates who are capable of developing a problem independently. Prerequisites: Approval of department head. (Formerly CSCI 498B)

Presentation of computer science fundamentals from the perspective of professional usage.

Continuation of Computer Science 5003, including advanced programming, data structures, and applications. Prerequisite: 5003.

Extensive work with software utilization and applications. Prerequisite: 5003.

Continuation of Computer Science 5003, including advanced programming, data structures, and applications. Prerequisite: 5003.

Current topics for the high school classroom are presented at an elementary level and reinforced with advanced material. Prerequisite: Advanced programming skills and Approval of the Department Head.

Current topics for the high school classroom are presented at an elementary level and reinforced with advanced material. Prerequisite: Advanced programming skills and Approval of the Department Head.

An introduction to the process of algorithmic development using modern programming languages, machine organization as it relates to data representation and portability, validation and verification, and the social and ethical problems related to software. Prerequisite: 5004 or Consent of Department Head.

An introduction to the principles and methods used in the development of large software systems. The concept of abstract data types as it relates to internal and external data is introduced and reinforced through the characterization of fundamental data and file structures. Computational complexity and object-oriented programming concepts are also introduced. Prerequisite: 5010

Introduction to the use of Internet, technological information, national, and state standards for mathematics and science, reform methodologies, classroom techniques. Prerequisite: 5003 or Consent of Department Head. Not open to students with prior credit in 5016.

Internet and common tools of access such as telnet, FTP, e-mail, gopher, WWW, and Mosaic. Discussion of Internet in the classroom, workplace, and research. Emphasis on research use. Prerequisite: 5003 or consent of department head. Not open to students with prior credit in 5014.

Data description, probability and probability distributions, estimation and tests of hypothesis, linear regression and correlation, multiple comparisons, multiple regression; analysis of variance for completely randomized, randomized block. Latin square, factorial and k-way classification, and unbalanced designs; expected mean squares, analysis of covariance. The use of SAS and SPSS statistical computer packages. Emphasis is on methodology and only a high school background in mathematics and no prior knowledge of statistics is assumed. Credit cannot be earned in both 4037-4038 and 5020-5021. (Same as Mathematics 5020-5021.)

Data description, probability and probability distributions, estimation and tests of hypothesis, linear regression and correlation, multiple comparisons, multiple regression; analysis of variance for completely randomized, randomized block. Latin square, factorial and k-way classification, and unbalanced designs; expected mean squares, analysis of covariance. The use of SAS and SPSS statistical computer packages. Emphasis is on methodology and only a high school background in mathematics and no prior knowledge of statistics is assumed. Credit cannot be earned in both 4037-4038 and 5020-5021. (Same as Mathematics 5020-5021.)

An introductory course in applied multivariate statistical methods for the researcher. Emphasis is on concepts and the application of procedure. Topics to be covered include multivariate normal distribution theory, statistical distance, hypothesis testing, multivariate structure, graphics, and exploratory techniques. Same as Mathematics 5022.

Individual work on special problems in computer science. Subject Areas: A. Applications; B. Software; C. Mathematics of Computation; D. Hardware. Prerequisites: Approval of Department Head. (1-6 Cr., Maximum 6 Cr.)

As a survey of mobile communication technology, current implementations of mobile technology are identified and analyzed. Associated technical issues are covered to provide a broad understanding of the history and evolution of mobile communication strategies and applications.

Fundamental concepts of wireless communication are covered in this project based survey course that provides an overview of technical wireless communications technologies that make up modern wireless technology implementations.

Topics in this introduction to basic concepts and theories of digital signal processing include an overview of functional properties of modern telecommunication technologies. Group projects focus on the analysis of telecommunication system concepts in transmitting, receiving, filtering, and detecting signals.

The focus of this survey course is the identification of security systems and strategies in modern workplace environments. Topics include evolving security standards and policies, concepts of encryption, and the implications of security measures in network security systems.

This project based course provides an overview and analysis of the process of mobile applications design and development that deals with technical issues of mobile platforms and basic design components of effective user interface design. Participants work in teams to review and analyze current successful applications.