CSC 528: Interconnection N/Ws

Introduction – Static Interconnection Networks – Multistage Interconnection Networks – Design and Evaluation of Interconnection Networks – Message Passing Mechanisms – Problems encountered in Interconnection Networks

ملحقات المادة الدراسية

CSC 111: Java I

Introduction to computers and programs. Programmer’s algorithm, byte code and Java Virtual Machine. Java program’s structure, constants, variables and built-in data types. The arithmetic, assignment, increment and decrement operators. Classes and object definition, UML representation of a class, declaration of objects (Instance variables), primitive types and reference types.

ملحقات المادة الدراسية

CSC 306: Database

This course was introduced to Business students

ملحقات المادة الدراسية

CSC 206: Visual Basic

This course was introduced to Business students

ملحقات المادة الدراسية

CSC 524: Advanced Computer N/Ws

Review of general concepts – LAN and WAN – Management of token ring networks – ISO model of seven layers – Network standard specifications – Urban networks – Large bandwidth networks – Gates – Network design and performance – Network programming – Error detection – Security and privacy.

ملحقات المادة الدراسية

IT 424: Networks II

In this course internet technology protocols are discussed in details. The course covers the transport layer to cover process to process delivery and its protocols. It also covers the user support layers to cover user services such as application services. Students will be able to explain the role of networking in distributed applications and to compare and contrast the historical evolution of the switched and routed infrastructures.

ملحقات المادة الدراسية

CSC 569- Selected Topics in AI (Spring 2014)

The purpose of this course is to introduce fundamental concepts of heuristics in solving various optimization problems with emphasis on metaheuristics. The topics include basic heuristic constructs (greedy, improvement, construction); metaheuristics such as simulated annealing, tabu search, genetic algorithms, ant algorithms and their hybrids.
By the end of this course students should be able to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, such as networking, bioinformatics, routing and scheduling, etc.

ملحقات المادة الدراسية

الصفحات

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