MU (Mumbai University) Term Test - II Important Questions for EXTC Semester 6
- Ishita Raikar
- Apr 12
- 2 min read
Break your syllabus into small parts and set daily goals. Use simple notes or flowcharts to revise quickly. Don’t skip solving PYQs – they give a clear idea of the paper pattern
IMPS for ANNFL
Discuss linearly separable and linearly non-separable classification functions each with a graph.
What are the distinct applications and advantages of convolutional, recurrent, and generative neural networks in artificial neural network design?
With neat flow chart, describe the training algorithm for the Perceptron network.
Explain cross validation error based stopping criteria used in neural network training.
How does the generalized delta rule optimize weights in artificial neural networks, and what are its implications for learning efficiency?
Draw Hopfield network with four output nodes. List the steps involved in its testing algorithm. For an input vector ( 1 1 0 1 ),calculate the weight matrix.
Discuss competitive learning with a flow chart.
How does the Hopfield matrix facilitate associative memory recall in artificial neural networks, and what are its key properties?
What are Support Vectors in Support Vectors Machines (SVM)? How SVM differs from conventional classifiers?
How does the basic LMS algorithm adapt weights in artificial neural networks, and what are its key advantages and limitations?
IMPS for CCN
Compare star, bus and mesh Topology. OR Give comparison between Star, Mesh and Bus Topology. OR Differentiate between Bus Topology and Ring Topology.
Write a short note on DSL OR Explain in brief DSL, and HFC. OR Explain in detail Digital Subscriber Line (DSL)
Analyze different types of ARQ methods OR Explain Go-Back-N ARQ and Selective Repeat ARQ OR Explain Selective Repeat ARQ.
Explain in brief working of DHCP. OR Explain the transmission states of DHCP with a neat diagram.
Explain HTTP protocol in detail. OR Explain in brief working of HTTP application layer protocol
Compare Telnet and SSH. OR Compare TELNET and SSH application layer protocol.
Write a short note on Congestion control in transport layer OR Explain congestion control techniques used in TCP.
Explain how a connection is established, data transfer and connection termination happens in TCP using three-way handshaking
Write a short note on OSPF routing protocol OR Explain in detail the Routing protocols OSPF.
Write a short note on Internet Control Message Protocol
IMPS for DIPMV
What are the essential preprocessing steps in digital image processing for improved machine vision outcomes?
How do pixel relationships influence feature extraction and pattern recognition in digital image processing and machine vision algorithms?
State the basic steps in frequency domain filtering.
Explain the working of the following sharpening spatial domain filters
The Laplacian
Unsharp Masking
High Boost Filtering
Compare Ideal, Butterworth and Gaussian Low Pass Filtering in frequency domain. OR Compare Ideal, Butterworth and Gaussian filtering.
How does hole filling algorithms restore missing or corrupted regions in digital images for improved analysis in machine vision?
How do thinning and thickening operations modify binary images to enhance shape representation in digital image processing and machine vision?
State the principle of basic global thresholding
Explain the working of Canny Edge Detector.
How does understanding the interplay between illumination and reflectance contribute to accurate object recognition in digital image processing?
More Subjects and full downloadable PDFs are available in the Bh.Studyroom.
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