#1
15th May 2015, 10:22 AM
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DA IICT B Tech Syllabus
What is the syllabus of under-graduate B Tech Programs offered by Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT) as I want to check it before taking admission in it? Provide me the syllabus of under-graduate B Tech Programs offered by Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT) in PDF format?
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#2
2nd March 2020, 05:39 PM
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Re: DA IICT B Tech Syllabus
Can you provide me the syllabus for B. Tech (Honours in ICT with minor in Computational Science) Program offered by DA IICT (Dhirubhai Ambani Institute of Information and Communication Technology)?
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#3
2nd March 2020, 05:40 PM
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Re: DA IICT B Tech Syllabus
The syllabus for B. Tech (Honours in ICT with minor in Computational Science) Program offered by DA IICT (Dhirubhai Ambani Institute of Information and Communication Technology) is as follows: B.Tech. Honours (CS) Core Course 1. Introduction to Computational science This is an introductory course offered to entry level students in the first semester. It provides an overview of computational science and an introduction to the central methods in this field. While it is not tied to any particular field of scientific study, it requires a general scientific background at advanced introductory level. Topics include the role of computational tools and methods in 21st century science; modeling and simulation; continuous vs discrete models; analytic versus numeric models; deterministic versus stochastic models; Monte-Carlo methods; epistemology of simulations; visualization; high-dimensional data analysis; optimization; limitations of numerical methods; high-performance computing and data-intensive research. Applications examples will be drawn from Physics, Biology, Bio-informatics, Chemistry, Social Science, etc. 2. Introductory Physics This course provides an introduction to fundamentals of classical physics. This course will provide students with basic computational tools and techniques needed for their study in science and engineering. This will provide the basic platform to students to solve problems in physical sciences and mathematics using symbolic and compiled languages with visualization. Topics include Vectors, kinetics, Newton's laws, dynamics or particles, work and energy, friction, conservative forces, linear momentum, center-of-mass and relative motion, collisions, angular momentum, static equilibrium, rigid body rotation, Newton's law of gravity, simple harmonic motion. Rigid body motion (fundamental theorem on rigid body motion, inertia tensor, Euler equations, Euler angles, Cayley Klein parameters (SU(2)), dynamics, rotating coordinate systems, Hamiltonian and Lagrangian Systems. Conservative versus Dissipative systems central forces, concepts of configuration space & phase space which give useful information for modelling. simple pendulum & its comparison with the simple harmonic oscillator; small oscillations, normal modes, harmonics. 3. Introductory Mathematical Methods The objective of this course is to introduce students to the mathematics of computational science. The course is intended to be suitable for students who want to use computing to explore scientific problems. Topics include a broad coverage of the field of numerical methods emphasizing computer techniques as they apply to Engineering. Topics include numerical integration and differentiation, boundary-value and eigen value problems, numerical methods for ordinary and partial differential equations. This course covers first-order differential equations, linear equations of higher order, introduction to systems of differential equations, linear systems of differential equations, and Laplace transform methods. The focus will also be on basic numerical methods for scientific and engineering problems, and MATLAB/OCTAVE will be used as the primary environment for numerical computations. 4. Advanced Mathematical Methods This course build on the Introductory Mathematical methods course and consist of three main topics: initial value problems, solving large systems, and optimization. The goal of the course is to provide a good start into each of these fields, focusing more on fundamental ideas than on involved details. Focus will be given on the mathematical understanding as well as on applying the presented concepts. Practical examples and computer programs will be covered. Topics covered includes: (i) Initial value problems: Linear initial value problems such as the wave equation and the heat equation admit closed form solutions in simple geometries. In a more complex setup they have to be solved numerically. (ii)Solving large systems: The discretization of partial differential equations by finite difference or finite element methods leads to large sparse linear systems, either directly for linear problems or as an auxiliary subproblem for many nonlinear problems. Gaussian elimination destroys the sparse structure, so solvers are required which make use of the specific sparse matrix structure. (iii) Optimization and minimum principles: Optimization problems search for the minimizer of some quantity (cost function), possibly given constraints. Quadratic cost functions lead to linear systems using Lagrange multipliers and Kuhn-Tucker conditions. Saddle point problems, regularization and calculus of variations will be presented as fundamental concepts. A different world in encountered in the case of linear cost functions. Applications are operations research and network problems. Solution algorithms are the simplex method or interior point methods. The underlying principle in all approaches is the concept of duality. 5. Modeling and Simulation This course will provide students the necessary skills to formulate conceptual and mathematical models of systems, to transform these models into efficient simulation software, and to apply the resulting simulator to attacking contemporary problems in science and engineering. Topics include the basic underlying principles behind simulation models, and developing a conceptual and practical understanding of data structures, algorithms, software, mathematics, and best practices concerning the development of both the domain-specific simulation model as well as the underlying domain-independent simulation engine and algorithms. The students will be introduced to system dynamics models with their global views of major systems that change with time and cellular automaton simulations with their local views of individuals affecting individuals, rate of change, errors, simulation techniques, empirical modeling, and an introduction to high performance computing. 6. Visualization and Image Processing Visualization is concerned with the creation of synthetic images and virtual worlds. This unit introduces the essential algorithms, theory and programming concepts necessary to generate interactive 2D and 3D graphics. Students will gain practical experience using the industry standard OpenGL API to develop their own interactive graphics applications. The topics covered form the basis of core knowledge necessary for developing applications in scientific visualisation, virtual reality, visual special effects and computer games. Topics include techniques for generating images of various types of experimentally measured; computer generated, or gathered data. Grid structures. Scalar field visualization. Vector field visualization. Particle visualization. Graph visualization. Animation. Applications in science and engineering. Basic knowledge of aliasing theory; interpolative shading models. Shadow algorithms Local and global illumination models; the OpenGL statemachine, GPUs and graphics pipline B.Tech. Honours (CS) Elective Course List of Technical Electives CT452 Access Technologies and Networks CT421 Advanced Digital Signal Processing CT451 Advanced Radio Frequency Engineering CT454 Analysis of Packet-Switched Networks IT471 Bio-Informatics CT455 Cellular Communicaton EL422 CMOS Analog IC Design EL321 CMOS Digital Design IT423 Compiler Design IT321 Computer Algorithms IT441 Computer Graphics ES411 Control Systems IT472 Digital Image Processing CT321 Digital Signal Processing EL426 Digital System Architecture EL452 Digital/Analog VLSI Subsystem Design IT351 Distributed Computing CT422 DSP Architecture IT473 Embedded Systems Programming IT421 Formal Program Development CT471 Fundamentals of Video Processing IT451 Grid Computing IT435 ICT for Intelligent Buildings ES311 Instrumentation and Control IT325 Introduction to Cryptography IT434 Introduction to Sensor Networks EL322 Introduction to VLSI EL421 Introduction to VLSI Circuits EL425 Laboratory in SoC ES312 Materials Science IT324 Mathematical Logic with Applications IT475 Medical Informatics SC321 Methods of Optimization IT422 Models of Computation IT452 Multimedia Computing CT472 Optical Communication CT371 Optical Communication Systems SC422 Optimization Techniques IT323 Programming Discrete Event Simulations IT320 Programming Languages CT351 Radio Frequency Engineering IT322 Security Protocols IT414 Software Project Management IT415 Software Testing and Quality Analysis IT453 System and Network Security IT 352 Unified Modeling Language and Model Driven Architecture IT474 User-Centred Design EL423 VLSI Circuits List of Open Electives SC373 Advanced Animation HM476 Animal, Vegetable, Mineral, Thing HM341 Approaches to Science Fiction ES321 Basic Engineering Sciences HM372 Cinematic Production: Seeing and Looking HM477 Colonialism, Modernity & the Indian State HM321 Communication in Digital Environment HM478 Consumption and Material Culture SC372 Dynamics of Animation HM331 Elements of Business Management HM471 Gandhi: Life and Thought HM323 Globalization,Communications,Culture HM421 Image, Communication and Structure SC341 Introduction to Biotechnology HM332 Introduction to Marketing SC421 Introduction to Modern Algebra SC431 Introduction to Nanoscience and Technology SC332 Introduction to Quantum Mechanics HM373 Knowledge States, Knowledge Societies HM325 Language and Communication HM322 Language, Reality, and Communications Systems HM371 Modernity, Knowledge and Development HM474 Modernity, Modernism and Art HM432 Organisational Behaviour HM374 Perspectives on Development HM475 Public Culture SC433 Quantum Computers HM479 Satyajit Ray: Film-maker and Artist SC371 Science: Breakthroughs in Science HM431 Strategic Marketing HM472 Three Thinkers HM473 Topics in Humanities SC432 Topics in Physics HM324 Truth, Fiction and Cyber-space Realities |