Syllabus | NIELITgo

1. Linear Electrical Networks

Module 1: Basic Concept & Theorems

Review of circuit analysis using Kirchoff's laws, nodal and mesh analysis, classical method and Laplace transform. Independent and dependent sources. Superposition, Reciprocity, Thevenin's, Norton's, Millman's, Maximum power transfer, and Tellegan's theorems.

Module 2: Transient Analysis

Transient response of R-L, R-C, R-L-C for DC and sinusoidal excitation. Initial condition, Solution using differential equation and Laplace transform method. Series and parallel resonant circuits.

Module 3: RLC circuit and Resonance

Laplace transforms and properties: Partial fraction, singularity functions, waveform synthesis, analysis of RC, RL, and RLC networks. Resonance conditions, quality factor.

Module 4: Two Port Networks & Graph theory

Two Port Networks, Graph theoretic analysis for Large scale networks. State space representation, Analysis using NGSPICE.

Module 5: Passive Filter Design

Butterworth and Chebyshev approximations, Normalized specifications, Frequency transformations, Types of frequency selective filters, Linear phase filters.

2. Engineering Mathematics III

Module 1: Solution of Nonlinear Equations

Bisection method, Secant method, Regula-Falsi method, Newton-Raphson method, direct iterative method, convergence criteria.

Module 2: Solution of Linear Systems

Direct methods: Gauss-elimination, LU-Decomposition. Iterative methods: Gauss Jacobi method, Gauss-Siedel method.

Module 3: Probability Theory Fundamentals

Definitions, Algebra of events, Concept of probability, Axioms, Conditional probability, Independent events, Bayes' Rule.

Module 4: Random variables & Distributions

Discrete and Continuous Random Variables, Expectation, Variance, Covariance. Probability Generating Function (pgf), Moment Generating Function (mgf).

Module 5: Standard Distributions

Binomial, Poisson, Normal, Uniform, Exponential, Chi-Square, t-Distribution, F-Distribution. Central Limit Theorem (CLT) applications.

3. Electronic Measurements and Instrumentation

Module 1: Fundamentals

Necessity of electronic Measurement, Block diagram, Types of Measurements, Theory of errors, Accuracy and Precision, Statistical analysis.

Module 2: Electromechanical Instruments & Bridges

Galvanometers, PMMC mechanism, AC/DC voltmeters, Ammeters. DC Bridges (Wheatstone, Kelvin) and AC Bridges (Maxwell, Hay's, Schering, Wein).

Module 3: Transducers and Sensors

Static and dynamic characteristics. Capacitive, Inductive, Resistive, LVDT, RVDT, Strain Gauge, RTD, Hall effect, Piezoelectric. Thermocouples, Fiber-Optic, Ultrasonic, and Biosensors.

Module 4: Signal generator & Analyzer

CRO: Types, sampling and storage oscilloscopes. Signal Generators: Sine-wave, Audio, RF, Pulse, Function generator. Spectrum analyzer and Logic analyzer.

Module 5: Data Acquisition System

Signal conditioning, AC/DC Conditioning systems, Data conversion: ADC, DAC, single channel and multi-channel DAS.

4. Electronic Devices and Circuits

Module 1: Semiconductor Physics & Diode Theory

Intrinsic and Extrinsic semiconductors, P-N junction diode: formation and characteristics, diode equation, Zener diode, Photodiode and LED.

Module 2: Diode Applications (Wave shaping)

RC differentiating and integrating circuits. Diode Clippers and Clampers. Voltage doubler, tripler. Zener Diode as a Voltage Regulator.

Module 3: Rectifiers and Filters

Half-Wave and Full-Wave Rectifier (Center-tap and Bridge): Analysis, ripple factor, efficiency. Capacitor filter, inductor filter, π-filter.

Module 4: Bipolar Junction Transistor (BJT)

Fundamental operation, Input/output characteristics in active region, BJT configurations: CE, CB, CC. Amplification, biasing and equivalent circuit models.

Module 5: Field Effect Transistor (FET)

JFET, MOSFET and their operations, device characteristics, non-ideal effects, CV characteristics. Overview of FinFET.

5. Emerging Trends in Electronics

Module 1: IoT & Embedded Systems

Sensors, Actuators, Communication Technologies in IoT. Overview of microcontrollers (Arduino, ESP32, STM32, Raspberry Pi), GPIO programming.

Module 2: AI, ML, and Robotics

Predictive maintenance of electronics, Smart automation using AI. Introduction to autonomous systems, Role of sensors, Line follower robot concept.

Module 3: VLSI, Nanoelectronics & SoC

Moore's Law, ASIC vs FPGA vs SoC. CMOS basics, FinFET. Introduction to nanomaterials: Graphene, CNTs, MEMS/NEMS.

Module 4: Advanced Wireless Tech

5G and Beyond: Massive MIMO. Wireless Sensor Networks (WSNs). LPWAN (LoRa, Sigfox, NB-IoT), RFID, NFC, BLE, Satellite communication.

Module 5: Smart & Sustainable Electronics

Power Management, Solar cells, MPPT basics. Electric Vehicles (EVs) Battery Tech: Li-Ion, Solid-state, BMS. E-Waste management, RoHS directives.

6. Personality Development

Module 1: Introduction

Concept and Dimensions of personality, Theories of Freud & Erickson. What is success and failure, Causes of failure, SWOT analysis.

Module 2: Attitude & Motivation

Positive vs Negative attitude, Internal and external motives, Importance of self-motivation, Factors leading to de-motivation.

Module 3: Self-esteem

Do's and Don'ts to develop positive self-esteem. Interpersonal Relationships: Aggressive, submissive and assertive behaviors, Lateral thinking.

Module 4: Other Aspects

Body language, Problem-solving, Conflict and Stress Management, Decision-making, Leadership qualities, Time management, Work ethics.

Module 5: Employability Quotient

Resume building, Group Discussion, Facing the Personal (HR & Technical) Interview, Psychometric Analysis, Mock Interview Sessions.

Academic Syllabus

Semester 1

Semester 2

Semester 3

Academic Syllabus

Semester 1

Semester 2

Semester 3

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Work in Progress!

3rd Sem - ECE