I need department of electronic engineering syllabus of the IIT institute in Madras so you provide me this syllabus otherwise give me information how I can download this syllabus.

[vikash]

IIT Madras has a Department of Electrical Engineering

It has a broad based UG curriculum and specialized M.Tech and Dual Degree programs in Communication Systems, Microelectronics and Power Systems, Instrumentation and Photonics.

It offers following courses.

EE5550 Microelectromechanical Systems
EE5150 Mathematical Methods & Algorithms for Signal Proc.
EE5570 Digital Filter Desgin
EC5143 Synthesis of Control Systems
EE5620 Power System Instrumentation
EC3103 Power System Practice
EC2101 Digital Systems
EE5620 Power System Instrumentation
EE4001 Electronic & Photonic Nanoscale Devices
EE6110 Digital Modulation & Coding
EE1100 Basic Electrical Engineering
EE5181 DC Power Transmission Systems
EE5260 Mos Device Modelling
EE1100 Basic Electrical Engineering
EE6150 Compact Modeling of Devices for IC Design
EE4710 Adv. Comm. Lab. I
EE6340 Information Theory
EE5121 Optimization Methods in Signal Processing &Comm.
EE5411 Introduction to Photonics
EC5133 VLSI Technology
EC5122 Computer Methods in Power Systems Analysis
EL5244 DSP Application Lab
EE5530 Biomedical Electronic Systems
EE4620 Adv.Microel.lab II
EC3104 Control Engineering
EC5241 Discrete Data Systems
EE5430 Foundations of Optical Networking
EE5810 Modelling and Analysis of Electrical Machines
EE3620 Device Modelling
EL2100 CAD Lab
EE6170 Intro.to Wireless & Cellular Communications
EE5950 High Voltage Power Transmission
EE5491 Wave Guides,Microwave Circuits & Antennas
EE5610 Transducers for Instrumentation & Process
EL3105 Electrical Machines Lab
EE5140 Communication Networks
EE5010 Wave Propagation for Communications
EE5140 Communication Networks
EE5471 Computer Methods in Elecrical Engg.
EE5241 Robust Optimal Control
EE5930 Power Quality & Reliability
EE5450 Integrated Optoelectronic Devices & Circuits
EE5120 Error Control Coding
EC5142 Introduction to DSP
EE5160 Solar Cells, Device Physics and Materials Tech.
EL5223 Laboratory (Power)
EL5111 Communication Lab
EC4000 Advanced EE Lab
EE4610 Advanced Microelectronics Lab
EC5141 Instrumentation Engineering
EE5472 Computational Electromagnetics
EE6470 Optical Signal Processing & Quantum Computing
EE5241 Robust Optimal Control
EE5490 Image Signal Processing
EN2100 Electrical Sciences
EC2102 Networks & Systems
EE6301 Mathematical Methods for Circuit Analysis
EE5211 Switched Mode Power Conversion
EE5970 Energy Mgmt Systems & Scada
EC1000 Introduction to Electrical Engineering
EL3203 Analog Circuits Lab
EE4190 Digital Communication Systems
EC2204 Electromagnetic Fields
EE5460 Optical Engineering
EE5870 Power Electronic Control of Electric Machines
EC3104 Control Engineering
EC3202 Principles of Measurement
EC5131 Analog and Digital Circuits
EC3101 Solid State Devices
EE5161 Modern Coding Theory
EE5410 Fibre Optic Communication Technology
EC1010 Electrical and Magnetic Circuits
EE5331 Speech Signal Processing
EE5030 Dsp Architectures and Embedded Systems
IL4020 Industrial Lecture
EE6240 Rf Integrated Circuits
EC3201 Communication Systems
EE5880 Power System Control & Stability
EL2200 Digital Circuits Lab
EC3201 Communication Systems
EE5130 Detection & Estimation Theory
EE5480 VLSI Design Lab
EC2203 Electrical Machines
EE4650 Advanced Power Systems Lab II
EE4720 Adv. Comm.lab II
EE5471 Computer Methods in Elecrical Engg.
EE7030 Advanced Topics in VLSI
EC5135 Analog Electronic Circuits
EE5730 Non-linear Control Systems
EE5390 Analog IC Design
EE6001 Stochaistic Modelling and the theory of Queues
EC2202 Analog and DSP
EC3102 Analog Circuits
EL3100 Microprocessor Laboratory
EC5221 High Voltage Technology
EC5134 Digital IC Design
EC2201 Computer Organisation and Microprocessors
EE5040 Adaptive Signal Processing
EE5330 Digital Signal Processing
EC5121 Power Converter Analysis & Design
EE3560 Analog Communication Systems
EC5132 Semiconductor Device Modelling
EL5201 Electrical Engg Lab (Control)
EE5110 Probability Foundations for Signal Processing
EE5110 Probability Foundations for Signal Processing