Core courses are compulsory courses that provide critical foundations to the undergraduate program. These courses are mandatory in order to develop in-depth knowledge of the discipline.
Matching problems, Coloring graphs, Transport networks.
Propositional Logic and Predicate Calculus: Propositions and Logical operations, Conditional statements, First order predicate, well-formed formula of predicate, quantifiers, Inference theory of predicate logic.
Methods of proof, Mathematical induction, Recursively defined functions, Growth of Functions, Recurrence relations.
This course includes the introductory and advanced concepts and implementation of the Object Oriented Paradigm using the Java programming language. Topic would include Introduction, Elementary Programming, Selections, Loops, Methods, Arrays, Strings, Objects and Classes, Inheritance and Polymorphism, GUI Basics and Components, Graphics, Exceptions, Abstract Classes and Interfaces, Event-Driven Programming, Binary I/O, Recursion, and Java Collections Framework.
11. Course Aims
This course will enable the students to understand the concepts of object oriented programming using java, and apply its structures and techniques in various programming problems.
This course aims on the concepts used in building Internet and web systems. The students would be able to understand how a web server is built.
11. Course Aims
1. To introduce the concepts of Distributed systems, Cloud computing, web servers.
2. To understand big data and streaming data processing on web servers.
3. Understand concepts of naming and locating resources, directory systems, distributed data structures and applications.
4. Apply the concepts learnt by applying them in an end-to-end project.
Course description not available.
Circuit Analysis Review of KCL and KVL, Basic Circuit Terminology-Node, loop, mesh, circuit, branch and path. Ideal sources, Source transformation, Star-Delta transformation. AC analysis - Phasor, Complex impedance, complex power, power factor, power triangle, impedance triangle, series and parallel circuits
Network Theorems (A.C. and D.C Circuits) - Mesh and Nodal analysis, Thevenin, Norton, Maximum Power transfer, Millman, Tellegen and Superposition theorem.
Resonance and Transient Analysis
Introduction to Resonance-series and parallel, half power frequency, resonant frequency, Bandwidth, Q factor. Transient Analysis-Step response, Forced Response of RL, RC & RLC Series circuits with Sinusoidal Excitation – Time Constant & Natural frequency of Oscillation – Laplace Transform applications.
Electronic Devices and Components
Review of Energy band diagram- Intrinsic and Extrinsic semiconductors- PN junction diodes and Zener diodes – characteristics, Diode Applications-Rectifiers, Clippers and Clampers. Transistors-PNP and NPN – operation, characteristics and applications, Biasing of Transistors. Operational Amplifiers-Introduction and Applications - Inverting, Non Inverting, Voltage follower, Integrator, differentiator and difference amplifier, Summer, log and Antilog.
Three Phase and Transformers Introduction to three phase, power measurements in three phase. Transformer-Principle of operation, construction, phasor diagram of Ideal and practical transformer with load (R,L,C and their combinations) and no load, equivalent circuit, efficiency and voltage regulation of single phase transformer, O.C. and S.C. tests. Introduction to D.C. Machines.
1. Classification and representation of signals and systems, Continuous time & Discrete time signals and systems, Impulse and Step response of a system, linear systems, linearity, time invariance, causality, signal properties -LTI systems, Convolution
2. Fourier series, Fourier transform and properties, relation between Fourier transform and Fourier series, Sampling and reconstruction, FFT, DIT FFT, DIF FFT Algorithm, Inverse DFT and Convolution using FFT
3. Laplace transforms- representation of signals using continuous time complex exponentials, relation of Laplace and Fourier transform, concept of ROC and transfer function- block diagram representation, Inverse Laplace transform, properties, analysis and characterization of LTI systems using Laplace transforms
4. Z transforms- representation of signals using discrete time complex exponentials-properties, inverse Z transforms, ROC, Analysis and characterization of LTI systems using Z transforms, block diagram, transfer functions
5. Introduction to random variable and random process, State space analysis, Introduction to Two port networks and parameters
Digital Processing of Information – Basic information processing steps – logic and arithmetic; Number Systems and Arithmetic – Positional number systems, Arithmetic operations on binary numbers; Combinational Logic – Basic logic operations, Boolean algebra, Boolean functions, De Morgan’s laws, Truth table and Karnaugh map representations of Boolean functions, Combinational circuit design using gates and multiplexers; Sequential Logic – Latches and Flip-flops, Ripple counters, Sequence generator using flip-flops, State Diagram, Synchronous counters, Shift Registers; Introduction to the Microprocessor – Basic constituents of a processor, Instruction set – machine language and assembly language.
Core course for all B.Tech. Optional for B.Sc. (Research) Chemistry. Not open as UWE.
Credits (Lec:Tut:Lab)= 3:1:0 (3 lectures and 1 tutorial weekly)
Prerequisites: Class XII Mathematics.
Overview: In this course we study multi-variable calculus. Concepts of derivatives and integration will be developed for higher dimensional spaces. This course has direct applications in most engineering applications.
Past Instructors: Ajit Kumar, Sneh Lata
Core course for all B.Tech. Programs. Optional for B.Sc. (Research) Chemistry. Not available as UWE.
Credits (Lec:Tut:Lab)= 3:1:0 (3 lectures and 1 tutorial weekly)
Prerequisites: Class XII Mathematics
Overview: We will study Ordinary Differential Equations which are a powerful tool for solving many science and engineering problems. This course also covers some basic linear algebra which is needed for systems of ODEs.
Past Instructors: Ajit Kumar, Neha Gupta
The aim of this course is to bridge the gap between the various boards across the country at 10+2 level and bring everyone at the standard undergraduate level. All the engineering branches have their origin in the basic physical sciences. In this course we aim to understand the basic physical laws and to develop skills for application of various physical concepts to the science and engineering through problem solving. This will involve the use of elementary calculus like differentiation and integration.
Mechanics: The inertial reference frames, Newton’s laws of motion in vector notation, Conservation of energy, Application of Newton’s laws of motion, Dynamical stability of systems: Potential energy diagram, Collisions: Impulse, conservation of energy and linear, momentum, Conservation of angular momentum and rotation of rigid bodies in plane Thermal Physics: Averages, probability and probability distributions, Thermal equilibrium and macroscopic variables, Pressure of an ideal gas from Newton’s laws - the kinetic theory of gases. Maxwell’s velocity distribution, Laws of Thermodynamics and the statistical origin of the second law of thermodynamics, Application of thermodynamics: Efficiency of heat engines and air-conditioners, Thermodynamics of batteries and rubber bands
This is a continuation of PHY 101 and is meant for engineers and non-physics majors. The course will introduce students to Electricity and Magnetism, Maxwell’s equations, Light as an electromagnetic wave, and Wave optics.
Vector calculus: Gradient, Divergence, Curl and fundamental theorems of vector calculus. Basic laws in electricity and magnetism, Classical image problem, displacement current and continuity equation, Maxwell’s Equations, electromagnetic wave equation and its propagation in free space, conducting media and dielectric medium, Poynting theorem, Electromagnetic spectrum.
Interference of light waves: Young’s double slit experiment, displacement of fringes, Interference in thin films
Diffraction: Fresnel’s and Fraunhofer’s class of diffraction, diffraction from single, double & N- Slits, Gratings.
Polarization: Concept of Polarization in electromagnetic waves, types of polarized waves.