Course Catalogue

Parallel Models: PRAMs; machines- SIMD; architectures’ meshes, arrays, hypercubes; basic algorithms- Pointer jumping, prefix computation, Loader election; sorting- Cole’s sorting networks; Numerical methods- matrix operations. PDE solutions; Graph problems- connected components, shortest paths, spanning trees; combinatorial search; the class NP and P-completeness.

Writing distributed programs: socket related system calls (stream and datagram), Remote Procedure Calls (RPC), Writing network utilities. Using utilities for the development, of distributed programs. Demonstration/ hands-on-experience on the issues involved in managing large network systems. Study of the performance of Ethernet LAN under varying load conditions.

Process oriented versus object based Model:. Synchronization Mechanisms: Threads, the critical section problems, some important Synchronization problems, language and abstraction mechanism for synchronization, axiomatic verification of mutual exclusion.

Architecture of Distributed systems: Communications Networks, Client/server architecture etc, Logical clocks and ordering of messages. Distributed mutual exclusion and dead lock detection algorithms and their analysis. Agreement protocols’, fail stop and non-fail stop protocols. Distributed resource management and scheduling failure Recovery and Fault Tolerance: Backward and Forward error recovery, operation based and state based approach, synchronous and asynchronous check pointing; Commit protocols, Voting protocols, Resiliency through primary site and modular redundancy approaches, Reliable Communication, Case studies: Tragon/32 Fault tolerance under UNIX.

Introduction: Network types, Network protocol hierarchy’s overview of OSI and TCP/IP model?. LAN and MAN: Topologies, Bus/ Tree and Star using metallic media, optical fiber bus, the ring topology, Medium Access control protocols CSMA/CD, Token ring and FDDI, MAC performance, LAN/MAN Standards, High Speed LANs, Fast Ethernet, 100VG- any LAN, ATM LAM, Fibre channel, wireless LAN, and Gigabit Ethernet,

WAN: Public data networks, Routing strategies and flow control in packet switch networks, and X.25 standard. Circuit switched data networks and X.21 interface.

ISDN and Broadband ISDN: ISDN-Principles, user interface and services, ISDN channels, user access and protocols, Broadband ISDN- functional architecture and protocols.

Frame Relay and Cell Relay: Frame relay services and protocols, architectures, call control and data transfer, ATM-Overview, virtual channels and paths, ATM cells, header error control, transmission of ATM cells, traffic and congestion control, ATM switches.

Satellites and Cellular Radio: Geosynchronous and low-orbit satellites, VSATs, protocols for multiple access up-link channel, cellular radio, analog and digital cellular systems, GSM, persona! communication services.

Internetworking: Network interconnection, bridges and routers, connectionless and connection oriented Internet working, routing and fragmentation, Firewalls IP protocol rind IP addresses,
Internet control protocols- ICMP, ARP, RARP, multicasting. Domain name system and Name Servers.

Distributed Applications: Simple Network management protocol, Telnet and FTP, Electronic mail, 1 SMTP and MIME. The WWW-client and servers, writing wave page in HTML and Java, locating information the on the web, video on demand.

Network Security: Type of attack, privacy with conventional encryption, Message authentication and Hash function public key encryption and digital signature.

This module gives an overview of some of the different tiered application architectures (1, 2, 3, N tiers) and some sample designs. The course teaches some of the foundation skills required for building medium to large scale web-based applications, with a B2B e-commerce focus. The course introduces J2EE and Microsoft .NET as two technology architectures for implementing enterprise applications. Java Servlets and Java Server Pages (JSP), Java application servers, integration of data from multiple data sources and distribution of business logic in component-based applications. Multiple application-end delivery formats are considered including web browsers and WAP phones.

Introduction to Neural Network; ANN approach to recognition; ANN models, Design and development of ANN; back propagation model.

Introduction to pattern recognition. General pattern recognition concepts. Statistical pattern recognition. Supervised learning using parametric and non-parametric approaches. Linear discriminant functions and the discrete and binary feature cases. Unsupervised learning and clustering. Syntactic Pattern Recognition: Syntactic recognition via parsing and other grammars, graphical approach to syntactic pattern recognition, learning via grammatical inference. Neural Pattern Recognition: Neural pattern associators and matrix approaches, unsupervised learning in neural pattern recognition.