GIS Laboratory

Upon successful completion of this course students should be able to: (i) Master the terminology and concepts of the OSI reference model and the TCP/IP reference model; (ii) Master the concepts of protocols, network interfaces, and design/performance issues in local area networks and wide area networks; (iii) Demonstrate knowledge of wireless networking concepts; (iv) Appreciate contemporary issues in networking technologies; and (v) Demonstrate knowledge of network tools.   

This course covers fundamental theories and techniques for efficient representation, processing,  and  communication  of  digital  images  and  video.  It  presents  the  main concepts, results, and techniques that are the foundations of current academic research and industry practice in digital image processing   

 It addresses data analysis, interpretation and presentation skills.   

The course explores the design of computer algorithms and hardware that models the structure and properties of visual data.  It explores techniques of analysis, reconstruction, digitalizing and water marking images.   

Telecommunications fundamentals including data, voice, image, and video.The concepts, models, architectures, protocols, standards, and security for the designimplementation, and management of digital networks. Server architectures, server farms, cluster computing, and grid computing. Storage area networks and network attached storage, Data center design and implementation. Development of an integrated technical architecture (hardware, software, networks, and data) to serve organizational needs in a rapidly changing competitive and technological environment.   

This course will offer the students a holistic overview to audit and security assurance issues pertinent in an enterprise. The course will specifically tackle Security  mechanisms,  Operational  issues,  Policy,  Attacks,  Information  Systems  Audit, Data Center Audit, topics in Computer Audit etc. Security Domains, Forensics, Information States, Security Services, Threat analysis model, Vulnerabilities and other security issues will also be looked at.   

This course unit shall cover areas in probability theory, random  processes, Markov  Chains  (dis- crete and continuous), queuing theory (M/M, M/G queues),  scheduling  policies; preemptive, non- preemptive, priority scheduling, sized based scheduling.  Analysis of networks of queues, mean value analysis (MVA), simulation models, network measurement techniques , and workload characteriza- tion.Aims:Networked  systems are highly dynamic  in nature. They  transport traffic that constitute highly varying workloads due to multitude of applications they support.

Capability  in the design of systems  that meet  security  goals is an increasingly  important skill. This course explores how cost-effective solutions to security needs can be achieved by following well- established architectural practices and detailed security principles.  Central to these considerations is meeting the requirements with established solutions, and striking a balance between security and other system requirements.Aims:The goal of the course is to equip students with necessary knowledge to design software systems that can stand most security risks.   

This course will cover Introduction to Networks: definition, advantages, types, configurations; The OSI/ISO reference model; Transmission media: magnetic media, twisted pair, coaxial, fiber-optics; Data encoding: straight, Manchester, differential Manchester, satellite; Digital versus Analog transmission; Modems, modulation and their standards, codes and pulse code modulation; Integrated Services Digital Networks (ISDN); Network Access Protocols; Passive versus dynamic allocation; LAN standards:802.3 (Ethernet), 802.4 (token bus), 802.5 (token ring); Computer Network security, Active and Pa