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Full-Text Articles in Engineering
Ceg 333: Introduction To Unix, Todd Rovito
Ceg 333: Introduction To Unix, Todd Rovito
Computer Science & Engineering Syllabi
Introduction to the use of UNIX and UNIX tools as a problem-solving environment. Emphasis on the shell, files and directories, editing files, user process management, compiling, and debugging. Prerequisite: CS 241.
Cs 790-01: Introduction To Parallel Algorithms, Natsuhiko Futamura
Cs 790-01: Introduction To Parallel Algorithms, Natsuhiko Futamura
Computer Science & Engineering Syllabi
Low-cost parallel computers such as PC clusters are becoming available, and many previously unsolvable problems can be solved using such computers. However, designing algorithms that perform well on parallel computers is often challenging. The focus of this course is on learning how to design algorithms for parallel computers and how to evaluate them.
Cs 740-01: Algorithms, Complexity And The Theory Of Computability, Thomas Sudkamp
Cs 740-01: Algorithms, Complexity And The Theory Of Computability, Thomas Sudkamp
Computer Science & Engineering Syllabi
No abstract provided.
Cs 466/666-01: Introduction To Formal Languages, Thomas Sudkamp
Cs 466/666-01: Introduction To Formal Languages, Thomas Sudkamp
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 with 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.
Ceg 416-01: Matrix Computations, Bin Wang
Ceg 416-01: Matrix Computations, Bin Wang
Computer Science & Engineering Syllabi
This course is a survey of numerical methods in linear algebra for application to problems in engineering and the sciences. Emphasis is on using modern software tools on high performance computing systems. This course covers the mathematics of linear equations, eigenvalue problems, singular value decomposition, and least squares. Material covered will be relevant to applications areas such as structural analysis, heat transfer, neural networks, mechanical vibrations, and image processing in biomedical engineering. A student should familiarize himself/herself with MATLAB. A basic knowledge of matrix algebra is required.
Ceg 860-01: Object-Oriented Programming, Krishnaprasad Thirunarayan
Ceg 860-01: Object-Oriented Programming, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course motivates the need for object-oriented programming, and studies, in detail, object-oriented programming techniques, languages, and technology. The lectures will focus on the foundations of OOP, while the student presentations will focus on the applications and extensions of Object Technology.