Skip to main content

UGC NET Electronic Science Previous Year Question Papers with Solutions


Home / Engineering & Other Exams / UGC NET 2026 PYQ



⬇️ Download Papers and Solutions 📋 Exam Pattern 💡 Preparation Tips ❓ FAQs

📊 Exam Highlights: Electronic Science (88)

Feature Details
Junior Research Fellowship (JRF) ₹37,000 + HRA per month
Eligibility M.Sc/M.Tech in Electronics (55%)
Validity of Certificate JRF (3 Years) | Lectureship (Lifetime)

📥 Download UGC NET Electronics PDFs

Complete collection of previous year question papers, answer keys and explanations for Subject Code 88.

Start Downloading

Why Previous Year's Question Papers Are Essential?

Previous year question papers are essential to know the pattern of an examination. You should go through at least the last 10 years' question papers before sitting for any examination.

UGC NET Electronic Science (Code 88) Exam Overview

The UGC NET Electronics Science examination consists of two papers. Paper 1 covers General Teaching & Research Aptitude, while Paper 2 focuses specifically on Subject Code 88. To succeed, candidates must master topics such as:

  • Semiconductor Devices & IC Fabrication
  • Network Theory and Signals & Systems
  • Digital Electronics and Microprocessors (8085/8051)
  • Electromagnetics and Antennas

Using previous year question papers is the most effective way to understand the weightage of these topics.

📈 Topic-wise Weightage Analysis

Based on 2023-2024 trends, here is the approximate number of questions asked from each module:

Semiconductor Devices: 12-15 Questions
Digital & Microprocessors: 10-12 Questions
Electromagnetics (EMFT): 8-10 Questions

🎁 Bonus: UGC NET Paper 1 Resources

Don't ignore the General Aptitude paper! It carries 100 marks and is key to securing JRF.

Download Paper 1 Solved PDFs →

How to Use These Question Papers Effectively

Don't just look at the answers. For every UGC NET Electronic Science PYQ you solve, ensure you:

  1. Time Yourself: Set a timer for 120 minutes to simulate real exam conditions.
  2. Analyze Explanations: We have provided answer keys with full explanations for 2024 and 2025 papers. Check the derivation for every numerical.
  3. Identify Patterns: Notice how NTA repeats concepts from Op-Amps and Control Systems almost every year.

✅ My Study Progress Tracker

Check off the papers you have completed solving:

*Tip: Bookmark this page to track your daily progress.

Frequently Asked Questions (FAQs)

Q1: Is there negative marking in UGC NET?
A: No, as of the latest 2025 guidelines, there is no negative marking in the UGC NET exam.

Q2: Where can I get the official UGC NET Electronic Science Syllabus?
A: You can download the Subject Code 88 syllabus from the official NTA website or via the link in our study materials section below.

UGC-NET : Electronics Science Study Materials →

📚 Best Reference Books for Subject 88

  • Network Theory: Hayt & Kemmerly
  • Digital Electronics: M. Morris Mano
  • Control Systems: I.J. Nagrath & M. Gopal
  • Electromagnetics: Matthew N.O. Sadiku

Note: Always supplement textbooks with these PYQs to understand how questions are framed.

Further Reading

  1. GATE EC Previous Year Question Papers with Answer Keys and Full Explanations
📊 MATLAB & ONLINE SIMULATIONS (Web-Based)
🎓 GATE & UGC - NET SOLUTIONS
📡 WIRELESS & SIGNAL PROCESSING


Contact Us

Name

Email *

Message *

Popular Posts

MUSIC Algorithm Explained (with MATLAB + Simulator)

Practical Implementation of the MUSIC Algorithm The focus is on how the algorithm works computationally , not just theory, and it explains the denominator (a H E n E n H a) mathematically and intuitively. 1. Introduction The MUSIC (Multiple Signal Classification) algorithm is a high-resolution method used in signal processing and array processing to estimate the Direction of Arrival (DOA) of signals received by a sensor array. Unlike classical beamforming methods, MUSIC uses eigenvector decomposition of the covariance matrix to separate the signal subspace and noise subspace , allowing it to achieve much higher angular resolution. In practical implementations, MUSIC works by: Simulating or collecting array signals Computing the covariance matrix Performing eigenvalue decomposition Separating signal and noise subspaces Scanning possible angles using a steering vector Constructing a pseudo-spectrum where peaks indicate signal directions 2. Signal Mo...
Read more

PSD Calculation with FFT: MATLAB Tutorial for Signal Analysis

  Implementation Steps 1. FFT Computes the Frequency Content of a Signal FFT converts a time-domain signal to the frequency domain. If: The signal is sampled at rate $f_s$ You compute an $N_{\text{FFT}}$-point FFT Then each FFT bin corresponds to a frequency resolution of: $$\Delta f = \frac{f_s}{N_{\text{FFT}}}$$ So the FFT gives you accurate frequency content, assuming the signal is stationary and adequately sampled (Nyquist criterion met).  2. Magnitude Squared Gives Power (Not Amplitude) $$P[k] = |X[k]|^2$$ This gives power at each frequency bin, not just amplitude. It represents how much energy is present at each frequency. It's a key step for PSD.  3. Normalization Makes the PSD Physically Meaningful The equation: $$\text{PSD}[k] = \frac{|X[k]|^2}{N_{\text{FFT}} \cdot f_s \cdot U}$$ is derived from first principles and ensures that the u...
Read more

MATLAB Code for ASK, FSK, and PSK (with Online Simulator)

MATLAB Code for ASK, FSK, and PSK Comprehensive implementation of digital modulation and demodulation techniques with simulation results. 📘 Theory 📡 ASK Code 📶 FSK Code 🎚️ PSK Code 🕹️ Simulator 📚 Further Reading Amplitude Shift Frequency Shift Phase Shift Live Simulator ASK, FSK & PSK HomePage MATLAB Code MATLAB Code for ASK Modulation and Demodulation COPY % The code is written by SalimWireless.Com clc; clear all; close all; % Parameters Tb = 1; fc = 10; N_bits = 10; Fs = 100 * fc; Ts = 1/Fs; samples_per_bit = Fs * Tb; rng(10); binar...
Read more

MATLAB code for BER vs SNR for M-QAM, M-PSK, QPSK, BPSK (with Simulation)

🧮 MATLAB Code for BPSK, M-ary PSK, and M-ary QAM Together 🧮 MATLAB Code for M-ary QAM 🧮 MATLAB Code for M-ary PSK 📚 Further Reading MATLAB Script for BER vs. SNR for M-QAM, M-PSK, QPSK, BPSK % Written by Salim Wireless clc; clear; close all; snr_db = -5:2:25; psk_orders = [2, 4, 8, 16, 32]; qam_orders = [4, 16, 64, 256]; ber_psk_results = zeros(length(psk_orders), length(snr_db)); ber_qam_results = zeros(length(qam_orders), length(snr_db)); for i = 1:length(psk_orders) ber_psk_results(i, :) = berawgn(snr_db, 'psk', psk_orders(i), 'nondiff'); end for i = 1:length(qam_orders) ber_qam_results(i, :) = berawgn(snr_db, 'qam', qam_orders(i)); end figure; semilogy(snr_db, ber_psk_results(1, :), 'o-', 'LineWidth', 1.5, 'DisplayName', 'BPSK'); hold on; for i = 2:length(psk_orders) semilogy(snr_db, ber_psk_results(i, :), 'o-', 'DisplayName', sprintf('%d-PSK', psk_or...
Read more

BER vs SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ...(MATLAB Code + Simulator)

Bit Error Rate (BER) & SNR Guide Analyze communication system performance with our interactive simulators and MATLAB tools. 📘 Theory 🧮 Simulators 💻 MATLAB Code 📚 Resources BER Definition SNR Formula BER Calculator MATLAB Comparison 📂 Explore M-ary QAM, PSK, and QPSK Topics ▼ 🧮 Constellation Simulator: M-ary QAM 🧮 Constellation Simulator: M-ary PSK 🧮 BER calculation for ASK, FSK, and PSK 🧮 Approaches to BER vs SNR Calculation What is Bit Error Rate (BER)? The BER indicates how many corrupted bits are received compared to the total number of bits sent. It is the primary figur...
Read more

Constellation Diagrams of ASK, PSK, and FSK (with MATLAB Code + Simulator)

Constellation Diagrams: ASK, FSK, and PSK Comprehensive guide to signal space representation, including interactive simulators and MATLAB implementations. 📘 Overview 🧮 Simulator ⚖️ Theory 📈 Q-function 📚 Resources BASK Modulation Transmits one of two signals: 0 or $\sqrt{E_b}$, representing binary 0 and 1. Simple but sensitive to noise. BFSK Modulation Transmits one of two signals: $\sqrt{E_b}$ on the Y-axis or $\sqrt{E_b}$ on the X-axis. These are orthogonal signals. BPSK Modulation Transmits $+\sqrt{E_b}$ or $-\sqrt{E_b}$ (antipodal signaling). Most efficient binary scheme. ...
Read more

OFDM Symbols and Subcarriers Explained

This article explains how OFDM (Orthogonal Frequency Division Multiplexing) symbols and subcarriers work. It covers modulation, mapping symbols to subcarriers, subcarrier frequency spacing, IFFT synthesis, cyclic prefix, and transmission. Step 1: Modulation First, modulate the input bitstream. For example, with 16-QAM , each group of 4 bits maps to one QAM symbol. Suppose we generate a sequence of QAM symbols: s0, s1, s2, s3, s4, s5, …, s63 Step 2: Mapping Symbols to Subcarriers Assume N sub = 8 subcarriers. Each OFDM symbol in the frequency domain contains 8 QAM symbols (one per subcarrier): Mapping (example) OFDM symbol 1 → s0, s1, s2, s3, s4, s5, s6, s7 OFDM symbol 2 → s8, s9, s10, s11, s12, s13, s14, s15 … OFDM sym...
Read more