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	<item>
		<thumbnail>cog.jpg</thumbnail>
		<title class="subtitle">CCPM</title>
		<description >Cognition & Cognitive Process Modelling</description>
		
		<content><![CDATA[<span class="title">Cognition and Cognitive Process Modelling</span>
			<p align="justify">Cognitive Science is the study of the mind and human intelligence, including computational models of human thought.
			It is the interdisciplinary study of how information, e.g., concerning perception, language, reasoning, and emotion, is represented and transformed in the mind. It consists of multiple research disciplines, including psychology , artificial intelligence , philosophy , neuroscience , learning sciences , linguistics , anthropology , sociology , and education .
			- Nature of Mind and Mind Body problem.
			- Mechanisms of Mind.
			- Multiplicity of Mind.
			- Evolution Natural and Artificial.
			- The First AI Debate.>
			- The Second AI Debate.
			- Representation and Third AI Debate.
			- Neural Networks
			- Fractals.
			</p> ]]></content>
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	<item>
		<thumbnail>pid.jpg</thumbnail>
		<title>PID</title>
		<description>Principles of Interaction Design</description>
		
		<content><![CDATA[<span class="title">Principles of Interaction Design</span><p alig ="justify">
		Principles of Interaction Design include :-
		- Design methodology for complex products, services and events: Design of integrated systems, products for future use, products to be used in groups, devices used in public places, design of multi-modal interfaces, expressive interfaces, products that enrich user experience 
        - The course takes an inter-disciplinary approach drawing upon product design, visual communication, information architecture, cognitive psychology and computer science. The course involves exploration of alternatives, pushing the envelope of what is known.
        - The focus is on working collaboratively in groups to solve design problems. The course will involve doing projects. Students need to build soft prototypes of proposed systems at the end of the course.
		</p> ]]></content>
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	<item>
		<thumbnail>ivp.jpg</thumbnail>
		<title>IVP</title>
		<description>Image and Vision Processing</description>
		
		<content><![CDATA[<span class="title">Image and Vision Processing</span><p alig ="justify">
		Some topics covered under Image and Vision Processing are :-
		- Digital Image Representation.
		- Intensity Transformations and Spatial Filtering.
		- Frequency Domain Processing.
		- Image Restoration.
		- Color Image Processing.
		- Wavelets.
		- Image Compression.
		- Morphological Image Processing.
		- Image Segmentation.
		- Object Recognition.
		- Stereovision.
		</p> ]]></content>
	</item>
	<item>
		<thumbnail>aga.jpg</thumbnail>
		<title>AGA</title>
		<description>Advanced Graphics and Animation</description>
		
		<content><![CDATA[<span class="title">Advanced Graphics and Animation</span><p alig ="justify">
		Advanced Graphics and Animation includes :-
		- Simple Raster Graphics.
		- Graphics hardware.
		- Geometrical transformations.
		- Viewing in 3D.
		- Object Heirarchy and simple PHIGS.
		- Dialog Design.
		- Representing curves and surfaces.
		- Solid Modelling.
		- Achromatic and colored lights.
		- Visible surface determination.
		- Illumination and shading.
		- Aniamtion Production and Techniques.
		- Interpolation and bsic techniques.
		- Natural Phenomena.
		- Rendering Issues.
		</p> ]]></content>
	</item>
	<item>
		<thumbnail>slt.jpg</thumbnail>
		<title>SLT</title>
		<description>Speech and Language Technology</description>
		
		<content><![CDATA[<span class="title">Speech and Language Technology</span><p alig ="justify">
		Speech and Language Technology courseware include following topics :-
		- Introduction to course.
		- Scope of Augmentative and Alternative Communication(AAC).
		- Text Entry methods.
		- Ambiguous keyboards.
		- Interface variations.
		- Language modeling and word prediction.
		- Coding and information theoretic perspectives.
		- Utterance-based systems.
		- Symbol Systems. More Symbol Systems.
		- Speech Transformation, Recognition and Assessment.
		- Natural Language Generation.		
		</p> ]]></content>
	</item>
	<item>
		<thumbnail>vr.jpg</thumbnail>
		<title>VR</title>
		<description>Virtual Reality</description>
		
		<content><![CDATA[<span class="title">Virtual Reality</span><p alig ="justify">
		Topics included in Virtual Reality are :-
		- Introduction to early VR technologies.
		- Input Devices: Trackers, Navigatioin & Gesture Interface.
		- Output Devices: Graphics, 3D, Sound & Haptic Displays.
		- Computing architecture for VR.
		- Modelling Techniques.
		- VR Programming.
		- Human Factors in VR.
		- Traditional & Emerging applications of VR.
		</p> ]]></content>
	</item>
	<item>
		<thumbnail>ci.jpg</thumbnail>
		<title>CI</title>
		<description>Computational Intelligence</description>
		
		<content><![CDATA[<span class="title">Computational Intelligence</span><p alig ="justify">
		Computational Intelligence includes :-
		- CI Paradigms.
		- Artificial Neural Networks.
		- Supervised Learning Neural Networks.
		- Unsupervised Learning Neural Networks.
		- Radial Basis Functions.
		- Reinforcement Learning.
		- Evolutionary Computation.
		- Genetic Algorithms.
		- Fuzzy sets, logic, reasoning, controllers.
		</p> ]]></content>
	</item>
	<item>
		<thumbnail>ir.jpg</thumbnail>
		<title>IR</title>
		<description>Information Retrieval </description>
		
		<content><![CDATA[<span class="title">Information Retrieval</span><p alig ="justify">
		Information Retrieval topics are :-
		- Boolean retrieval.
		- The term vocabulary & postings lists.
		- Dictionaries and tolerant retrieval.
		- Index construction.
		- Index compression.
		- Scoring, term weighting & the vector space model.
		- Computing scores in a complete search system.
		- Evaluation in information retrieval.
		- Relevance feedback & query expansion.
		- XML retrieval.
		- Probabilistic information retrieval.
		- Language models for information retrieval.
		- Text classification & Naive Bayes.
		- Vector space classification.
		- Support vector machines & machine learning on documents.
		- Flat clustering.
		- Hierarchical clustering.
		- Matrix decompositions & latent semantic indexing.
		- Web search basics.
		- Web crawling and indexes
		</p> ]]></content>
	</item>
	<item>
		<thumbnail>hur.jpg</thumbnail>
		<title>HUR</title>
		<description>Humanoid Robotics</description>
		
		<content><![CDATA[<span class="title">Humanoid Robotics</span><p alig ="justify">
		Humanoid Robotics includes :-
		- Towards Robot Theatre.
		- Robotic System Servo Control.
		- Sensors and their role in new approaches to perception.
		- Overview of sensors.
		- Digital Resistive sensors.
		- Analog Resistive sensors.
		- Introduction to Robot Vision, Cameras, Visual Servoing.
		- Edge detection and feature extraction algorithms.
		- Labeling and sequential algorithms.
		- Histogramming.
		- Walsh Transforms and butterflies. Walsh Matrix.
		- Spectral Transforms and Image Processing software.
		- Walsh and Fourier Transforms. Butterflies. Fast algorithms and their properties. Use of spectral methods in robot vision.
		- Hough Transforms. Hough Transform application in a mobile robot for corridor navigation.
		- Quad trees and Oct-trees.
		- Thinning algorithms.
		</p> ]]></content>
	</item>
	<item>
		<thumbnail>dsp.jpg</thumbnail>
		<title>DSP</title>
		<description>Digital Signal Processing</description>
		
		<content><![CDATA[<span class="title">Digital Signal Processing</span><p alig ="justify">
		Topics included in Digital Signal Processing are :
		- Introduction to signal processing. Properties of LTI continuous filters.The Dirac delta function.
		- Continuous LTI system time-domain response. Sinusoidal response of LTI continuous systems.
		- The Fourier series and transform.
		- The frequency response of a linear system defined directly from the Fourier transform. Relationship between the frequency response and the impulse response. The convolution property.
		- The Laplace transform.
		- Poles and zeros of filter classes.
		- Butterworth filter design example. Chebyshev filters.
		- The sampling theorem. The discrete Fourier transform.
		- The fast Fourier transform (cont.). Spectral leakage in the DFT and apodizing (windowing) functions.
		- Frequency response and poles and zeros. FIR low-pass filter design.		
		</p> ]]></content>
	</item>
	<item>
		<thumbnail>sco.jpg</thumbnail>
		<title>SCO</title>
		<description>Soft Computing</description>
		
		<content><![CDATA[<span class="title">Soft Computing</span><p alig ="justify">
		Soft Computing includes :-
		- Development and Evaluation of Artificial Neural Network Model for Real life Applications.
		- Hopfield Networks.
		- Decision Trees.
		- Fuzzy Logic and its use in control engineering.
		- Problem solving using fuzzy techniques.
		- Cluster Computing.
		- Genetic Programming: Issues and Applications.
		- Hidden Markov Models.
		- Hybrid Systems of ANN, GA and Fuzzy systems. 
		</p> ]]></content>
	</item>
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