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<h1><a href="http://hci.iiita.ac.in/" target="_parent">sdfgsdfg</a></h1>
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<li><a href="http://iiita.ac.in/">IIIT-Allahabad</a></li>
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<h2>Courses</h2>
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<h5><strong>Cognition and Cognitive Process Modelling</strong>
<br />
</h5>
Cognitive Science is the study of the mind and human intelligence,
including computational models of human thought.<br />
It is the interdisciplinary study of how information, e.g., concerning
perception, language, reasoning, and emotion, is represented and
transformed in the mind.<br />
It consists of multiple research disciplines, including psychology
, artificial intelligence , philosophy , neuroscience , learning
sciences , linguistics , anthropology , sociology , and education
.<br />
<li>Nature of Mind and Mind Body problem.</li>
<li>Mechanisms of Mind.</li>
<li>Multiplicity of Mind.</li>
<li>Evolution Natural and Artificial.</li>
<li>The First AI Debate.</li>
<li>The Second AI Debate.</li>
<li>Representation and Third AI Debate.</li>
<li>Neural Networks.</li>
<li>Fractals.</li> <br />
<br />
<h5><strong>Principles of Interaction Design</strong> <br />
</h5>
Principles of Interaction Design include<br />
<li>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.</li>
<li>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.</li>
<li>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.</li>
<br />
<br />
<h5><strong>Virtual Reality</strong> <br />
</h5>
<br />
<li>Introduction to early VR technologies.</li>
<li>Input Devices: Trackers, Navigatioin & Gesture Interface.</li>
<li>Output Devices: Graphics, 3D, Sound & Haptic Displays.</li>
<li>Computing architecture for VR.</li>
<li>Modelling Techniques.</li>
<li>VR Programming.</li>
<li>Human Factors in VR.</li>
<li>Traditional & Emerging applications of VR.</li> <br />
<br />
<h5><strong>Image and Vision Processing</strong> <br />
</h5>
<li>Digital Image Representation.</li>
<li>Intensity Transformations and Spatial Filtering.</li>
<li>Frequency Domain Processing.</li>
<li>Image Restoration.</li>
<li>Color Image Processing.</li>
<li>Wavelets.</li>
<li>Image Compression.</li>
<li>Morphological Image Processing.</li>
<li>Image Segmentation.</li>
<li>Object Recognition.</li>
<li>Stereovision. </li>
<br />
<br />
<h5><strong>Soft Computing</strong> <br />
</h5>
Soft Computing includes<br />
<li>Development and Evaluation of Artificial Neural Network Model
for Real life Applications.</li>
<li>Hopfield Networks.</li>
<li>Decision Trees.</li>
<li>Fuzzy Logic and its use in control engineering.</li>
<li>Problem solving using fuzzy techniques.</li>
<li>Cluster Computing.</li>
<li>Genetic Programming: Issues and Applications.</li>
<li>Hidden Markov Models.</li>
<li>Hybrid Systems of ANN, GA and Fuzzy systems.</li>
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<h5><strong>Advanced Graphics and Animation</strong> <br />
</h5>
<li>Simple Raster Graphics.</li>
<li>Graphics hardware.</li>
<li>Geometrical transformations.</li>
<li>Viewing in 3D.</li>
<li>Object Heirarchy and simple PHIGS.</li>
<li>Dialog Design.</li>
<li>Representing curves and surfaces.</li>
<li>Solid Modelling.</li>
<li>Achromatic and colored lights.</li>
<li>Visible surface determination.</li>
<li>Illumination and shading.</li>
<li>Animation Production and Techniques.</li>
<li>Interpolation and bsic techniques.</li>
<li>Natural Phenomena.</li>
<li>Rendering Issues.</li> <br />
<br />
<h5><strong>Speech and Language Technology</strong> <br />
</h5>
Speech and Language Technology courseware include following topics<br />
<li>Introduction to course.</li>
<li>Scope of Augmentative and Alternative Communication(AAC).</li>
<li>Text Entry methods.</li>
<li>Ambiguous keyboards.</li>
<li>Interface variations.</li>
<li>Language modeling and word prediction.</li>
<li>Coding and information theoretic perspectives.</li>
<li>Utterance-based systems.</li>
<li>Symbol Systems. More Symbol Systems.</li>
<li>Speech Transformation, Recognition and Assessment.</li>
<li>Natural Language Generation.</li> <br />
<br />
<h5><strong>Computational Intelligence</strong> <br />
</h5>
<br />
<li>CI Paradigms.</li>
<li>Artificial Neural Networks.</li>
<li>Supervised Learning Neural Networks.</li>
<li>Unsupervised Learning Neural Networks.</li>
<li>Radial Basis Functions.</li>
<li>Reinforcement Learning.</li>
<li>Evolutionary Computation.</li>
<li>Genetic Algorithms.</li>
<li>Fuzzy sets, logic, reasoning, controllers.</li> <br />
<br />
<h5><strong>Information Retrieval</strong> <br />
</h5>
<br />
<li>Boolean retrieval.</li>
<li>The term vocabulary & postings lists.</li>
<li>Dictionaries and tolerant retrieval.</li>
<li>Index construction.</li>
<li>Index compression.</li>
<li>Scoring, term weighting & the vector space model.</li>
<li>Computing scores in a complete search system.</li>
<li>Evaluation in information retrieval.</li>
<li>Relevance feedback & query expansion.</li>
<li>XML retrieval.</li>
<li>Probabilistic information retrieval.</li>
<li>Language models for information retrieval.</li>
<li>Text classification & Naive Bayes.</li>
<li>Vector space classification.</li>
<li>Support vector machines & machine learning on documents.</li>
<li>Flat clustering.</li>
<li>Hierarchical clustering.</li>
<li>Matrix decompositions & latent semantic indexing.</li>
<li>Web search basics.</li>
<li>Web crawling and indexes.</li> <br />
<br />
<h5><strong>Humanoid Robotics</strong> <br />
</h5>
Humanoid Robotics includes<br />
<li>Towards Robot Theatre.</li>
<li>Robotic System Servo Control.</li>
<li>Sensors and their role in new approaches to perception.</li>
<li>Overview of sensors.</li>
<li>Digital Resistive sensors.</li>
<li>Analog Resistive sensors.</li>
<li>Introduction to Robot Vision, Cameras, Visual Servoing.</li>
<li>Edge detection and feature extraction algorithms.</li>
<li>Labeling and sequential algorithms.</li>
<li>Histogramming.</li>
<li>Walsh Transforms and butterflies. Walsh Matrix.</li>
<li>Spectral Transforms and Image Processing software.</li>
<li>Walsh and Fourier Transforms. Butterflies. Fast algorithms and their
properties. Use of spectral methods in robot vision.</li>
<li>Hough Transforms. Hough Transform application in a mobile robot
for corridor navigation.</li>
<li>Quad trees and Oct-trees.</li>
<li>Thinning algorithms.</li>
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