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?

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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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