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Full-Text Articles in Physical Sciences and Mathematics
Cs 766: Evolutionary Computation, Mateen M. Rizki
Cs 766: Evolutionary Computation, Mateen M. Rizki
Computer Science & Engineering Syllabi
This course explores evolutionary computation from a historical, theoretical, and application viewpoint. An overview of the most common evolutionary search techniques are presented including genetic algorithms, evolutionary programming, evolutionary strategies, and genetic programming. The fundamental issues driving the choice of problem representation and specific genetic operators are discussed. Various applications of evolutionary computation to problems in control, optimization, and pattern recognition are examined.
Cs 480/680: Comparative Programming Languages, Michael L. Raymer
Cs 480/680: Comparative Programming Languages, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 784: Programming Languages, Krishnaprasad Thirunarayan
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 790-02: Statistical Natural Language Processing: Models And Methods, Shaojun Wang
Cs 790-02: Statistical Natural Language Processing: Models And Methods, Shaojun Wang
Computer Science & Engineering Syllabi
This course is designed to introduce students to the current statistical techniques for the automatic analysis of natural (human) language data. It develops an in-depth understanding of both the algorithms available for the processing of linguistic information and the underlying computational properties of natural languages. Potential topics include language modeling, finite state models, stochastic grammars, latent semantic analysis, log-linear models in natural language processing. We will explore how these core techniques can be applied to user applications such as information extraction, question answering, automatic speech recognition, statistical machine translation.
Cs/Bio 471/671: Algorithms For Bioinformatics, Michael L. Raymer
Cs/Bio 471/671: Algorithms For Bioinformatics, Michael L. Raymer
Computer Science & Engineering Syllabi
Theory-oriented approach to the application of contemporary algorithms to bioinformatics. Graph theory, complexity theory, dynamic programming and optimization techniques are introduced in the context of application toward solving specific computational problems in molecular genetics. 4 credit hours.
Cs/Mth 316/516: Numerical Methods For Digital Computers - I, Ronald F. Taylor
Cs/Mth 316/516: Numerical Methods For Digital Computers - I, Ronald F. Taylor
Computer Science & Engineering Syllabi
Introduction to numerical methods used in the sciences. Methods of interpolation, data smoothing, functional approximation, numerical differentiation and integration. Solution techniques for linear and nonlinear equations. Discussion of sources of error in numerical methods. Applications to engineering, science, and applied mathematics are an integral part of the course. Special topics presented as schedule permits. 4 credit hours.
Cs 790: Special Topics On Image Processing: Algorithms, Languages, And Architectures, Nikolaos Bourbakis
Cs 790: Special Topics On Image Processing: Algorithms, Languages, And Architectures, Nikolaos Bourbakis
Computer Science & Engineering Syllabi
Introduction; Image Processing Operators and Morphology; Image Transformations; Image Processing Languages; Image Coding and Compression;
Image Encryption and Hiding; Digital TV and Video
Cs 780: Compiler Design And Construction I, Krishnaprasad Thirunarayan
Cs 780: Compiler Design And Construction I, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course deals with the theory and practice of compiler design. Topics emphasized are scanning and parsing. If time permits, semantic analysis will also be covered.
Cs 240: Introduction To Computer Science I, Mateen M. Rizki
Cs 240: Introduction To Computer Science I, Mateen M. Rizki
Computer Science & Engineering Syllabi
No abstract provided.
Cs 206: Advanced Concepts/Techniques And Software Productivity Tools, John P. Herzog
Cs 206: 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.
Cs 205: Introduction To Computers And Office Productivity Software, John P. Herzog
Cs 205: Introduction To Computers And Office Productivity Software, John P. Herzog
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.
Ceg 260: Digital Computer Hardware Switching Circuits, Meilin Liu
Ceg 260: Digital Computer Hardware Switching Circuits, Meilin Liu
Computer Science & Engineering Syllabi
We will discuss and cover basic digital, combinational and sequential logic systems. Labs will be used to gain valuable practical experience in implementing elementary circuits and logic designs.
Ceg 320/520: Computer Organization And Assembly Language Programming, Travis E. Doom
Ceg 320/520: Computer Organization And Assembly Language Programming, Travis E. Doom
Computer Science & Engineering Syllabi
Terminology and understanding of functional organizations and sequential operation of a digital computer. Program structure, and machine and assembly language topics including addressing, stacks, argument pasing, arithmetic operations, traps, and input/output. Macros, modularization, linkers, and debuggers are used. Three hours lecture, two hours lab. Prerequisite: CS 242, CEG 260.
Ceg 255: Introduction To The Design Of Information Technology Systems, Eric Matson
Ceg 255: Introduction To The Design Of Information Technology Systems, Eric Matson
Computer Science & Engineering Syllabi
Information systems consist of modern elements such as database systems, networks, multi-platform distributed computing, web infrastructure and multimedia computing. In this course we will address these areas individually and also where they intersect to gain a basic understanding of how information technology can be used to solve real problems.
We will develop techniques to design, develop and implement distributed business software. Emphasis will be on the following areas:
- Graphical User Interfaces (GUI) using Java Swing classes
- Management of data in Relational Database Management Systems (RDBMS) with SQL
- Integration of distributed systems using object brokering systems such as CORBA
Ceg 220: Introduction To C Programming For Engineers I, Ronald F. Taylor
Ceg 220: Introduction To C Programming For Engineers I, Ronald F. Taylor
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. Some programming assignments may involve complex arithmetic and trigonometric and exponential functions. 4 credit hours.
Ceg 724: Computer Vision I, Arthur A. Goshtasby
Ceg 724: Computer Vision I, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
This course covers basic techniques for low-level and some mid-level vision processes. The techniques include: camera geometry and calibration, image filtering and edge detection, image segmentation, 2-D shape analysis, 2-D texture analysis, model-based recognition and template matching, and video understanding and tracking.
Ceg 210: Pc Networking I, Karen Meyer
Ceg 210: Pc Networking I, Karen Meyer
Computer Science & Engineering Syllabi
Introduction to PC networking hardware, concepts, and technologies. Focus is on LAN administration, hardware and software configuration. Course Goals
At the end of the quarter the student will be able to:
- design and configure a client server network
- create and manage network objects
- plan and implement directory services and network file systems
- plan and implement network security
- design and write network login scripts
- manage and solve problems related to a client server network
Ceg 720: Computer Architecture I, Soon M. Chung
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. 3 hours lecture and 2 hours lab.
Ceg 499/699: Mobile Computing, Yong Pei
Ceg 499/699: Mobile Computing, Yong Pei
Computer Science & Engineering Syllabi
Increasingly, people, computers and microelectronic devices are being linked together to bring to life the communications mantra: anybody, anything, anytime, anywhere. This junior/senior/graduate course provides an in-depth study of networking protocol and system design in the area of wireless networking and mobile computing. It will help engineering and computer science students establish a solid foundation in concepts, architecture, design, and performance evaluation of mobile computing principle, protocols and applications. It will also introduce students to a few hot topics in wireless networking and mobile computing research such as mobile IP, wireless TCP, 802.11, agent techniques, etc. The course material also …
Ceg 433/633: Operating Systems, Prabhaker Mateti
Ceg 433/633: Operating Systems, Prabhaker Mateti
Computer Science & Engineering Syllabi
The management of resources in multi-user computer systems. Emphasis is on problems of file-system design, process scheduling, memory allocation, protection, and tools needed for solutions. Course projects use the CIC++ language and include the design of portions of an operating system. 4 credit hours.
Cs 765: Foundations Of Neurocomputation, Mateen M. Rizki
Cs 765: Foundations Of Neurocomputation, Mateen M. Rizki
Computer Science & Engineering Syllabi
This course is designed to help you develop a solid understanding of neural network algorithms and architectures. At the end of this course you should be able to read and critically evaluate most neural network papers published in major journals, (e.g. IEEE Transaction on Neural Networks, Neural Networks, and Neural Computation). In addition, you should be able to implement a broad range of network architectures and learning algorithms for a variety of applications.
Cs 466/666: Formal Languages And Automata, Krishnaprasad Thirunarayan
Cs 466/666: Formal Languages And Automata, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course introduces the theory of formal languages and automata. The primary focus is on the two methods of defining languages: using generators (e.g., grammars/regular expressions) and using recognizers (e.g., finite state machines). Along with presenting the fundamentals, this course will develop and examine relationships among the various specification methods for the regular languages and the context-free languages, in detail. Overall, we plan to cover the first seven chapters of the text book.
Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan
Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course will introduce fundamental concepts and paradigms underlying the design of modern programming languages. For concreteness, we study the details of an object-oriented language (e.g. Java), and a functional language (e.g., Scheme). The overall goal is to enable comparison and evaluation of existing languages. The programming assignments will be coded in Java 5 and in Scheme.
Cs 240: Computer Science - I, Ronald F. Taylor
Cs 240: Computer Science - I, Ronald F. Taylor
Computer Science & Engineering Syllabi
Basic concepts of programming and programming languages are introduced. Emphasis is on structured programming and stepwise refinement. For CS/CEG majors with familiarity of a high-level programming language. Prerequisite: MTH 130 (Precalculus) or MPL 5. 4 credit hours.
Cs 205-07: Computer Literacy And Office Automation, John P. Herzog
Cs 205-07: Computer Literacy And Office Automation, John P. Herzog
Computer Science & Engineering Syllabi
Basic computer terminology, word processing, spreadsheets, databases, and graphics.
Cs 141: Computer Programming - I, Ronald F. Taylor
Cs 141: Computer Programming - I, Ronald F. Taylor
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 241: Computer Science Ii, Eric Maston
Cs 241: Computer Science Ii, Eric Maston
Computer Science & Engineering Syllabi
This course is the second in the Introduction to Computer Science (24X) series. It focuses on object oriented concepts and an introduction to data structures.
Cs 209: Computer Programming For Business Ii, Dennis Kellermeier
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 415: Social Implications Of Computing, Leo Finkelstein
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.
Ceg 333-01: Introduction To Unix, Eric Maston
Ceg 333-01: Introduction To Unix, Eric Maston
Computer Science & Engineering Syllabi
Introduction to the use of UNIX and UNIX tools as a computing environment. Emphasis on the shell, files and directories, editing files, user process management, compiling, debugging and other tools such as document development.