Duo-notes

SYLLABUS (This Document contains Module 1,2) Module:1 MOS Transistor Theory 5 hours SLO: 2 I-V Characteristics, C-V Characteristics, Non-ideal I-V Effects of MOS Transistors Module:2 CMOS Logic 5 hours SLO: 2 Basic Gates, Compound Gates, Transmission Gates Based Combinational and Sequential Logic Design Module:3 CMOS Circuit characterization and Performance Estimation 8 hours SLO: 2 DC Transfer Characteristics of CMOS Inverter, Circuit Characterization and Performance Estimation: Delay Estimation, Logical Effort and Transistor Sizing. Power Dissipation: Static & Dynamic Power Dissipation. Module:4 CMOS Fabrication and Layout 5 hours SLO: 5 CMOS Process Technology N-well, P-well Process, Stick Diagram for Boolean Functions using Euler Theorem, Layout Design Rule Module:5 CMOS Combinational Circu

SYLLABUS (This Document contains Module 1,2,3) Module:1 Layered Network Architecture: Evolution of data Networks – Switching Techniques – Categories of networks - ISO/OSI Reference Model – TCP/IP Model Module:2 Network Topologies and Internetworking devices: Network Topologies, Repeaters – Hubs – Switches – Bridges: Transparent and Source Routing– Routers. Module:3 Data Link Layer: Logical Link Control – Error Detection Techniques – ARQ protocols – Framing – HDLC – Point to Point protocol. Medium Access Control – Random access Protocols – Scheduling approaches to MAC. Module:4 Local Area Networks& Wide AreaNetworks: Ethernet- Token Bus/Ring , FDDI – Virtual LAN ,WAN Technologies – Frame Relay, ATM, ,Wireless LAN Module:5 Network Layer: Internetworking – IP Addressing – Subnetting – IPv4 and IPv6– Routing – Distance Vector and Link State Routing – Routing Protocols. Module:6 Transport Layer:  Connection oriented and Connectionless Service – User Datagram Proto

SYLLABUS (This Document contains Module 4) Module:1 Introduction:  Review of Probability Theory, Introduction to information theory Module:2 Entropy:  Uncertainty, self-information, average information, mutual information and their properties - Entropy and information rate of Markov sources - Information measures of continuous random variables. Module:3 Channel Models and Capacity: Importance and types of various channel models - Channel capacity calculation – Binary symmetric channel, binary erasure channel - Shannon’s channel capacity and channel coding theorem - Shannon’s limit. Module:4 Source Coding I: Source coding theorem - Huffman coding - Non binary Huffman codes - Adaptive Huffman coding - Shannon Fano Elias coding - Non binary Shannon Fano codes   Module:5 Source Coding II  Arithmetic coding - Lempel-Ziv coding - Run-length encoding and rate distortion function - Overview of transform coding. Module:6 Channel Coding I: Introductio