Computer Sciences Commons^™

Energy-Efficient Hybrid Key Management Protocol For Wireless Sensor Networks, Timothy J. Landstra, Maciej Jan Zawodniok, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we propose a subnetwork key management strategy in which the heterogeneous security requirements of a wireless sensor network are considered to provide differing levels of security with minimum communication overhead. Additionally, it allows the dynamic creation of high security subnetworks within the wireless sensor network and provides subnetworks with a mechanism for dynamically creating a secure key using a novel and dynamic group key management protocol. The proposed energy-efficient protocol utilizes a combination of pre-deployed group keys and initial trustworthiness of nodes to create a level of trust between neighbors in the network. This trust is later …

Control Of Nonholonomic Mobile Robot Formations Using Neural Networks, Jagannathan Sarangapani, Travis Alan Dierks

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper the control of formations of multiple nonholonomic mobile robots is attempted by integrating a kinematic controller with a neural network (NN) computed-torque controller. A combined kinematic/torque control law is developed for leader-follower based formation control using backstepping in order to accommodate the dynamics of the robots and the formation in contrast with kinematic-based formation controllers. The NN is introduced to approximate the dynamics of the follower as well as its leader using online weight tuning. It is shown using Lyapunov theory that the errors for the entire formation are uniformly ultimately bounded, and numerical results are provided.

Cs 240: Computer Programming I, Dale E. Nelson

Computer Science & Engineering Syllabi

Basic concepts of programming and programming languages are introduced. Emphasis is on structured programming and stepwise refinement. Prerequisite: MTH 130 or MPL 5.

Cs 400/600: Computer Science, Eric Maston

Computer Science & Engineering Syllabi

This is the initial course in the understanding of data structures. This course focuses on data structures with abstract data types, such as trees, stacks, queues and graphs. The course will use projects, developed on UNIX, to create a deeper understanding of data structure and their use.

Cs 466/666: Introduction To Formal Languages, Guozhu Dong

Computer Science & Engineering Syllabi

CS 466/666 is an introduction to formal language and automata theory. In this course we will examine methods for defining syntax of languages and recognizing patterns: the syntax of languages can be defined using grammars and patterns accepted by finite state machines. Along with presenting the fundamentals of these two topics, the course will develop and investigate the relationships between language definition and pattern recognition. The text will be the third edition of Languages and Machines: An Introduction to the Theory of Computer Science, by Thomas Sudkamp.

Cs 208: Computer Programming For Business I, Dennis Kellermeier

Computer Science & Engineering Syllabi

CS 208 is the first of a two quarter sequence in programming for business students. It is required for Management Information Science majors. The courses are designed to help students achieve a high degree of facility in intermediate level programming. This course assumes students have never written a program before.

Cs 141: Computer Programming - I, Michael Ondrasek

Computer Science & Engineering Syllabi

This course provides a general introduction to the fundamentals of computer programming. Examples from and applications to a broad range of problems are given. No prior knowledge of programming is assumed. The concepts covered will be applied to the Java programming language. Students must register for both lecture and one laboratory section. 4 credit hours. Prerequisite: MTH 127 (College Algebra) or equivalent.

Cs 790: Information Theory, Machine Learning And Statistics, Shaojun Wang

Computer Science & Engineering Syllabi

Information theory deals with encoding data in order to transmit it correctly and effectively. Statistics and machine learning deal with estimating models of data and predicting future observations. ls there any relationship between the two? It turns out, perhaps not surprisingly, that the most compact encoding of the data is by the probabilistic model that describes it best. In other words, there is a fundamental link between information and probability.

This course starts with the basic notions of information theory and explores its relationship to machine learning and statistics. The course will have a strong theoretical component, but will also …

Cs 214: Visual Basic Programming, Michael Ondrasek

Computer Science & Engineering Syllabi

This course provides a general introduction to the fundamentals of object computer programming. Examples from and applications to a broad range of problems are given. No prior knowledge of programming is assumed. However, students should have a familiarity with programming concepts. The concepts covered will be applied in the Visual Basic programming language. 4 credit hours.

Cs 209: Computer Programming For Business Ii, Dennis Kellermeier

Computer Science & Engineering Syllabi

CS 209 is the second of a two quarter sequence in programming for business students. It is required for Management Information Science majors. The courses are designed to help students achieve a high degree of facility in intermediate level programming.

Cs 240: Computer Science I, Eric Maston

Computer Science & Engineering Syllabi

This is the initial course in the Introduction to Computer Science series. Beginning concepts and programming will be discussed and taught in this course. This course will use Java as the language of implementation.

Ceg 220: Introduction To C Programming For Engineers I, Robert Helt

Computer Science & Engineering Syllabi

This course provides a general introduction to computers as a problem-solving tool using the C programming language. Emphasis is on algorithms and techniques useful to engineers. Topics include data representation, debugging, and program verification. 4 credit hours. Prerequisite: MTH 229 (Calculus I) or EGR 101 (Engineering Mathematics).f

Cs 415: Social Implications Of Computing, Leo Finkelstein

Computer Science & Engineering Syllabi

CS 415 is a communication skills course using as its subject matter current salient issues associated with the social implications of computing. In addition to the course text, you will need to use certain reading materials in the library and elsewhere, and you will be responsible for using concepts and theories provided in class lectures and discussions.

Cs 705: Introduction To Data Mining, Guozhu Dong

Computer Science & Engineering Syllabi

Data mining is concerned with the extraction of novel knowledge from large amounts of data. This course introduces and studies the concepts, issues, tasks and techniques of data mining. Topics include data preparation and feature selection, association rules, classification, clustering, evaluation and validation, scalability, spatial and sequence mining, privacy, and data mining applications. 3 hours lecture, 2 hours lab.

Cs 784: Programming Languages, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course introduces concepts related to the specification and design of high-level programming languages. It discusses different programming paradigms, algebraic specification and implementation of data types, and develops interpreters for specifying operationally the various programming language features/constructs. It also introduces attribute grammar formalism and axiomatic semantics briefly. The programming assignments will be coded in Scheme.

Cs 240: Computer Programming I, L. Jane Lin

Computer Science & Engineering Syllabi

Basic concepts of programming and programming languages are introduced. Emphasis is on structured programming and stepwise refinement.

Cs 790-01: Semantic Web-Course, Amit P. Sheth

Computer Science & Engineering Syllabi

No abstract provided.

Cs 205-08: Introduction To Computers And Office Productivity Software, Kim Gros

Computer Science & Engineering Syllabi

Focus on learning MS Office software applications including word processing (intermediate), spreadsheets, database and presentation graphics using a case study approach where critical thinking and problem solving skills are required. Computer concepts are integrated throughout the course to provide an understanding of the basics of computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.

Cs 410/610: Theoretical Foundations Of Computing, Thomas Sudkamp

Computer Science & Engineering Syllabi

This course is an introduction to one of the fundamental topics in the theory of computer science: computability theory. Computability theory is concerned with determining whether there is an algorithmic solution to a problem. The study of computability uses the Turing machine as the basic computational model. A Turing machine is a random access, read-write, finite state automaton. Although the Turing machine provides a simple computational framework, the Church-Turing thesis asserts that any problem that can be solved in any algorithmic manner can be solved by a Turing machine.

Cs 399: Computational Science Programming And Algorithms, Ronald F. Taylor

Computer Science & Engineering Syllabi

Introductory course in programming and algorithms for students with an interest or degree option in Computational Science. Topics include the logic and design of procedural programs, floating point arithmetic, vectors, matrices, complex numbers, and elementary data structures. Applications to areas of science and mathematics. Students will learn the basics of C programming as well as the MATLAB computing environment. This distance learning section offered under "Selected Topics" in computer science. 4 quarter credit hours.

Cs 240: Computer Programming I, Travis E. Doom

Computer Science & Engineering Syllabi

Basic concepts of programming and programming languages are introduced. Emphasis is on structured programming and stepwise refinement. Prerequisite: MTH 130 or MPL 5.

Cs 241: Introduction To Computer Science Ii, Haiyun Bian

Computer Science & Engineering Syllabi

This course is the second in the three course sequence "Introduction to Computer Science" offered by the Computer Science department, WSU. Concepts introduced in CS 240 are developed in greater detail and depth with the Java programming language. Topics include object oriented programming, basic sorting algorithms, recursion, graphics, development of user interfaces and exception handling. Student must register for one lecture section and one lab section.

Cs 206-02: Advanced Concepts/Techniques And Software Productivity Tools, John P. Herzog

Computer Science & Engineering Syllabi

By the end of this course, the students will have a greater depth of understanding in the areas of word processing, spreadsheets, databases, and presentation software and web design using Microsoft Word, Microsoft FrontPage, Microsoft Excel, Access, and PowerPoint.

Ceg 433/633: Operating Systems, Thomas Wischgoll

Computer Science & Engineering Syllabi

By the end of this quarter, you should be able to apply the concepts above to the following:

• Develop, test and debug programs in Unix.

• Improve the performance of programs by tuning virtual memory usage, and file io.

• Design and construct device drivers for Unix.

• Design and build newer file systems for any OS.

Ceg 730: Distributed Computing Principles, Prabhaker Mateti

Computer Science & Engineering Syllabi

Communicating sequential processes, clients and servers, remote procedure calls, stub generation, weak and strong semaphores, split-binary-semaphores, and distributed termination. Example languages: SR, Linda.

Ceg 221: Advanced C Programming For Engineers, Robert Helt

Computer Science & Engineering Syllabi

This course introduces advanced constructs, algorithms, and data structures in the C programming language. Emphasis is on problem solving and techniques useful to engineers. Topics include functions, array, pointers, structures as well as sorting algorithms, linked lists, complex numbers, stacks, queues, hash tables, and binary trees. 4 credit hours. Prerequisite: CEG220 (Introduction to C Programming for Engineers).

Ceg 360/560 Ee 451/651: Digital System Design, Meilin Liu

Computer Science & Engineering Syllabi

Design of digital systems. Topics include flip-flops, registers, counters, programmable logic devices, memory devices, register-level design, and microcomputer system organization. Students must show competency in the design of digital systems.

Ceg 453/653: Embedded Systems, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 760: Advanced Software Computer Engineering, Thomas C. Hartrum

Computer Science & Engineering Syllabi

This course covers advanced topics in software engineering. Aspects of problem specification, design, verification, and evaluation are discussed. We will focus on design methods, including software patterns and software architecture, plus some advanced topics involving formal methods of software specification or evaluation using software metrics. Students will participate in team projects to apply the methods discussed.

Ceg 720: Computer Architecture I, Soon M. Chung

Computer Science & Engineering Syllabi

Review of sequential computer architecture and study of parallel computers. Topics include memory hierarchy, reduced instruction set computer, pipeline processing, multiprocessing, various parallel computers, interconnection networks, and fault-tolerant computing.