Hi buddy I want to get Soft computing paper syllabus which part of
B.E. Electronics offered by Pune University, so can you here provide me ??

As you asking for Soft computing paper syllabus which part of B.E. Electronics offered by Pune University, so on your demand I am providing same :

Unit 1: Introduction to Neuro
-
Fuzzy and soft computing
Introduction, Soft computing constituents and conventional artificial
intelligence, from conventional AI to computational intelligence, neural networks, Fuzzy set theory, Evolutionary computation, Neuro-Fuzzy
and Soft Computing Characteristics

Unit 2: Fuzzy Set Theory Fuzzy logic, Fuzzy sets, Fuzzy set operations
, Fuzzy rules, Fuzzy algorithms, the fuzzy algorithm with linear constituents, determining the fuzzy algorithm

Unit 3: Fuzzy Control
Systematic approach for the design of fuzzy control system, Synthesis and validation of a fuzzy controller, determining the control laws, determining the fuzzy controller, validating the fuzzycontroller

Unit 4: Artificial Neural Network
Artificial neural network theory, Topologies, Multilayer perceptron,unsupervising neural network, Radial basis function, Learning algorithm, Numerical Examples regarding MLP’s and RBF.

Unit 5: Neural Network Application Neural network applications for identifying non-linear dynamic system and for complex
system control, Image processing, and communication.

Unit 6: Neuro Fuzzy Modelling Introduction, ANFIS architecture, Hybrid
learning algorithm Learning methods that cross-fertilize ANFIS and RBFN, Use of ANN for process control. 33

Soft computing syllabus Pune University
VLSI DESIGN AND TECHNOLOGY (404182)
Enhancement MOSFET equivalent circuit, parasitics, as resistor, diode. Active load, current source and push pull inverter amplifiers. Current source and sink. Common source, drain and gate amplifiers. Cascode amplifier. Differential amplifier. CMOS op-amp.
Unit 2: Digital CMOS Design
CMOS Inverter, voltage transfer curve, body effect, hot electron effect, velocity saturation. Static and dynamic dissipations. Power delay product. Noise margin. Combinational logic design, W/L calculations. Transmission gate, design using TGs. λ parameter, layout, Design Rule Check. Technology scaling.
Unit 3: VHDL and Finite State Machines
VHDL design units, modeling styles, synthesizable and non synthesizable test benches, design flow, functions, procedures, attributes, test benches, configurations, packages. Synchronous and asynchronous machines, Finite State Machines (FSM), metastability, state diagrams and VHDL codes for FSMs.
Unit 4: Programmable Logic Devices (PLDs)
Need of PLDs. Comparison with ASIC, general purpose processor, DSP processor, microcontroller, memories etc. Features, specifications, detail architectures, application areas, limitations of Complex Programmable Logic Device (CPLD) and Field Programmable Logic Devices (FPGA).
Unit 5: Fault tolerance and testability
Types of fault, stuck open, short, stuck at 1, 0 faults. Fault coverage. Need of Design for Testability (DFT). Controllability, predictability, testability, Built In Self Test (BIST). Partial and full scan check. Need of boundary scan check, JTAG, Test Access Port (TAP) controller.

Unit 6: Signal Integrity and System on Chip
Clock skew, Clock distribution techniques, clock jitter. Supply and ground bounce, power distribution techniques. Power optimization. Interconnect routing techniques, wire parasitics. Design validation. Off chip connections, I/O architectures. Signal integrity issues, EMI immune chip design.

COMPUTER NETWORK (404183)
Unit 1: Physical Layer
Data Communications, Networks, Networks models, OSI model, Layers in OSI model, TCP / IP protocol suite, Addressing, Guided and Unguided Transmission media. Switching: Circuit switched networks, Data gram Networks, Virtual circuit networks. Cable networks for Data transmission: Dialup modems, DSL, Cable TV, Cable TV for Data transfer.
Unit 2: Data Link Layer
Data link control: Framing, Flow and error control, Protocols for Noiseless and Noisy Channels, HDLC. Multiple access: Random access, Controlled access. Wired LANS : Ethernet, IEEE standards, standard Ethernet, changes in the standard, Fast Ethernet, Gigabit Ethernet.
Unit 3: Wireless LANS
Wireless LANS : IEEE 802.11–Bluetooth. Connecting LANS: Connecting devices, Backbone networks, Virtual LANS. Virtual circuit networks: Architecture and Layers of Frame Relay and ATM.
Unit 4: Network Layer
Logical addressing: IPv4, IPv6 addresses. Internet Protocol: Internetworking- IPv4, IPv6 - Address mapping- ARP, RARP,BOOTP, DHCP, ICMP, IGMP, Delivery- Forwarding , Routing -Unicast, Multicast routing protocols.
Unit 5: Transport Layer
Process-to-Process delivery, User Datagram Protocol (UDP), Transmission Control, Protocol (TCP), Congestion Control, Quality of services (QoS), Techniques to improve QoS.

Unit 6: Application Layer
Domain Name System (DNS), E-mail, FTP, WWW, HTTP, Multimedia Network Security: Cryptography, Symmetric key and Public Key algorithms, Digital signature, Management of Public keys, Communication Security, Authentication Protocols. Objective: To study about various applications and to understand the various network security algorithms.

Elective-I
DIGITAL IMAGE PROCESSING (404184)
Unit 1: Digital Image Fundamentals
Components of Image Processing System. , Elements of Visual Perception, MTF of Visual System, Image Sensing and Acquisition, Image formation model, Image Sampling & Quantization Spatial and Gray Level Resolution, Basic Relationships between Pixels. Statistical parameters, Measures and their significance, Mean, standard deviation, variance, SNR, PSNR etc.
Unit 2: Image Enhancement
Enhancement in Spatial Domain: basic gray level transformations, histogram processing, equalization, Arithmetic and logical operations between images, Basics of spatial filtering, smoothening and sharpening spatial filters. Image Enhancement in frequency Domain: smoothening and sharpening frequency domain filters. Fundamental of color image processing: color models, RGB, CMY, YIQ, HIS. Pseudo Color Image processing: Intensity filtering, gray level to color transformation, Basics of full color image processing.
Unit 3: Image Transforms
2D-DFT, FFT, DCT, the KL Transform, Walsh/Hadamard Transform, Haar Transform
Unit 4: Image Coding and Compression
Image Coding Fundamentals, Image Compression Model, fundamentals- redundancy: coding, interpixel, psychovisual, fidelity criteria, elements of information theory. Error Free Compression - variable length, bit plane, Lossless Predictive, Lossy Compression- Lossy Predictive. Fundamentals of JPEG, MPEG, fractals.

Unit 5: Image Analysis
Edge detection, spatial feature and boundary extraction, boundary representation by chain codes and B splines, Hough Transform. Morphological Image Processing: Dilation, Erosion, Opening, Closing on Binary Images, Segmentation: Point, line. Edge detection, Boundary detection and Thersholding.
Unit 6: Image restoration and Image Processing Applications
Image Degradation Mode, Noise Models, and Restoration in Presence c Noise in spatial Domain, Linear Filtering, Applications: Character Recognition, Fingerprint Recognition, Remote Sensing. Applications using different Imaging modalities such as acoustic Imaging, Medical imaging, electron microscopy etc.

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