Skip to main content

SSC CGL 2022: Exam Date, Admit Card, Answer Key, News


Home / Engineering & Other Exams / Exam Date, Admit Card, Answer Key, News ...

 ◈ SSC Exams
 ◈ Engineering Exams


SSC Exams Engineering Exams
  GATE 2023 (notification)
  ESE 2023 (notification)
  UGC-NET (ugcnet.nta.nic.in)
  

SSC CGL 2022: Notification is out.

Kindly visit: 'ssc.nic.in' to apply online. Firstly, open the website then. Then go to the upper navbar and click the 'Apply' tab. Then 'CGL' option will be shown. Then apply for 'CGL 2022'.

SSC JE 2022: Now, the Notification is out. Apply online.

SSC JE official notification is now available on the website https://ssc.nic.in 
Civil, Mechanical, and Electrical engineers are eligible to apply. Visit the official website to learn more about the eligibility requirements. The online application process has already started. The examination will likely be held in November 2022. Let us now talk about the examination pattern. The first will be 200 marks, and the second will be 300 marks.

◈ SSC JE 2022 Official Notification






Examination dates for UGC-NET December 2021 and June  2022 merged cycles have been published

Latest Updates

◈ Examination Dates Phase 2 exams will be conducted in September (visit the official site)
◈ 08, 09, 11, 12 July 2022 and 12, 13, 14 August 2022 (visit official site)
◈ Extension of the last date for submission of the online application form and correction window


20 May 2022

Today is the last day to apply for the merged December 2021 and June 2022 UGC-NET exam. The application window will be open till 11:50 pm. This national-level examination is usually held twice a year, with a six-month gap between them. Even though it was conducted once last year (may be due to covid situation). The testing agency is working on merging December and June cycles. Remember that the deadline to apply for that exam is today.

If you wish to apply for UGC-NET, go through the official website link https://ugcnet.nta.nic.in.

Copy and paste the link to any browser. Then apply for the particular exam. Now we'll share some important dates regarding the UGC-NET exam.


Important dates for UGC-NET


20 May 2022       Last date for Application (including the last date for successful transaction of examination fees

21 May to 23 May Correction window will open for particulars of the application form online only

*Dates of Exams         Will be notified later on the official website

Timing of shifts           2 shifts (First: 9 am to 12 pm; Second: 3 pm to 6 pm)

.

Fees

Fees for the examination are Rs/- 1100 for general, 550 for Gen-EWS / OBC-NCL, and 275 for Scheduled Caste (SC) / Scheduled Tribes (ST) / Person with Disability (PwD) and third gender. There may be some terms and conditions regarding the concession of fees. Please go through the official website for details https://ugcnet.nta.nic.in.


Career Opportunity


You can select either 'JRF & Assistant Professor' or 'Assistant Professor' only when applying for UGC-NET. You will be considered for the above position based on your score if you pass the exam. The cutoff points for JRF positions are slightly higher than those for Assistant Professor positions. If you want to research, you should apply for a position as a 'JRF and Assistant Professor.' If you're pursuing a Ph.D. and have already passed the JRF (UGC-NET) exam, you'll be eligible for a stipend of up to 31,000 (may be higher than that, including HRA). That is a good option for individuals who are enthusiastic about research. 

Visit ugcnet.nta.nic.in

People are good at skipping over material they already know!

View Related Topics to







Contact Us

Name

Email *

Message *

Popular Posts

Theoretical BER vs SNR for binary ASK, FSK, and PSK with MATLAB Code + Simulator

📘 Overview & Theory 🧮 MATLAB Codes 📚 Further Reading Bit Error Rate (BER) Equations BER formulas for ASK, FSK, and PSK modulation schemes. ASK BER = 0.5 × erfc(0.5 × √SNR) FSK BER = 0.5 × erfc(√(SNR / 2)) PSK BER = 0.5 × erfc(√SNR) Theoretical BER vs SNR for Amplitude Shift Keying (ASK) The theoretical Bit Error Rate (BER) for binary ASK depends on how binary bits are mapped to signal amplitudes. For typical cases: If bits are mapped to 1 and -1, the BER is: BER = Q(√(2 × SNR)) If bits are mapped to 0 and 1, the BER becomes: BER = Q(√(SNR / 2)) Where: Q(x) is the Q-function: Q(x) = 0.5 × erfc(x / √2) SNR : Signal-to-Noise Ratio N₀ : Noise Power Spectral Density Understanding the Q-F...
Read more

Simulation of ASK, FSK, and PSK using MATLAB Simulink (with Online Simulator)

📘 Overview 🧮 How to use MATLAB Simulink 🧮 Simulation of ASK using MATLAB Simulink 🧮 Simulation of FSK using MATLAB Simulink 🧮 Simulation of PSK using MATLAB Simulink 🧮 Simulator for ASK, FSK, and PSK 🧮 Digital Signal Processing Simulator 📚 Further Reading ASK, FSK & PSK HomePage MATLAB Simulation Simulation of Amplitude Shift Keying (ASK) using MATLAB Simulink In Simulink, we pick different components/elements from MATLAB Simulink Library. Then we connect the components and perform a particular operation. Result A sine wave source, a pulse generator, a product block, a mux, and a scope are shown in the diagram above. The pulse generator generates the '1' and '0' bit sequences. Sine wave sources produce a specific amplitude and frequency. The scope displays the modulated signal as well as the original bit sequence created by the pulse generator. Mux i...
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 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 figure of merit for a...
Read more

MATLAB Code for Constellation Diagram of QAM configurations such as 4, 8, 16, 32, 64, 128, and 256-QAM

📘 Overview of QAM 🧮 4-QAM MATLAB 🧮 16-QAM MATLAB 🚀 Online Simulator 📂 Other Topics on Constellation Diagrams... ▼ 🧮 MATLAB Code for 4-QAM 🧮 MATLAB Code for 16-QAM 🧮 MATLAB Code for m-ary QAM 🧮 Simulator for m-ary PSK 🧮 Simulator for m-ary QAM 🧮 Overview of Energy per Bit (Eb / N0) 🧮 Simulator for ASK, FSK, and PSK Overview of QAM One of the best-performing modulation techniques is QAM [↗] . Here, we modulate the symbols by varying the carrier signal's amplitude and phase in response to the variation in the message signal (or voltage variation). So, we may say that QAM is a combination of phase and amplitude modulation. Additionally, it performs better than ASK or PSK [↗] . In fact, any constellation for any type of modulatio...
Read more

OFDM Waveform with MATLAB Code

  In OFDM (Orthogonal Frequency Division Multiplexing) , we transmit multiple orthogonal subcarriers simultaneously. Since the subcarriers are orthogonal , they do not interfere with each other, which is one of the main advantages of OFDM. Practically, OFDM converts a wideband signal into multiple narrowband orthogonal subcarriers. For typical wireless communication, if the signal bandwidth (or symbol duration) exceeds the coherence bandwidth of the channel, the signal experiences frequency-selective fading . Fading distorts the signal, making it difficult to recover the original information. By using OFDM, we transmit the same wideband signal across multiple orthogonal narrowband subcarriers, reducing the effect of fading. For example, if we want to transmit a signal of bandwidth 1024 kHz , we can divide it into N = 8 subcarriers . Each subcarrier is then spaced by: Δf = Total Bandwidth N = 1024 8 kHz...
Read more

Online Simulator for ASK, FSK, and PSK

Try our new Digital Signal Processing Simulator!   •   Interactive ASK, FSK, and BPSK tools updated for 2025. Start Now Interactive Modulation Simulators Visualize binary modulation techniques (ASK, FSK, BPSK) in real-time with adjustable carrier and sampling parameters. 📡 ASK Simulator 📶 FSK Simulator 🎚️ BPSK Simulator 📚 More Topics ASK Modulator FSK Modulator BPSK Modulator More Topics Simulator for Binary ASK Modulation Digital Message Bits Carrier Freq (Hz) Sampling Rate (...
Read more

Power Spectral Density Calculation Using FFT in MATLAB

📘 📘 Overview 🧮 🧮 Steps to calculate 💻 🧮 MATLAB Codes 📚 📚 Further Reading Power spectral density (PSD) tells us how the power of a signal is distributed across different frequency components, whereas Fourier Magnitude gives you the amplitude (or strength) of each frequency component in the signal. Steps to calculate the PSD of a signal Firstly, calculate the fast Fourier transform (FFT) of a signal. Then, calculate the Fourier magnitude (absolute value) of the signal. Square the Fourier magnitude to get the power spectrum. To calculate the Power Spectral Density (PSD), divide the squared magnitude by the product of the sampling frequency (fs) and the total number of samples (N). Formula: PSD = |FFT|^2 / (fs * N) Sampling frequency (fs): The rate at which the continuous-time signal is sampled (in Hz). ...
Read more

FastAPI Static Files – Overview

FastAPI Static Files Often, a web application needs to include resources that do not change, even when dynamic data is rendered. These resources are called static assets . Examples of static files include: Images ( .png , .jpg ) JavaScript files ( .js ) Stylesheets ( .css ) Installing Required Library To handle static files in FastAPI, you need the aiofiles library. pip install aiofiles Mounting Static Files FastAPI uses the StaticFiles class to serve static content. You mount a folder (usually named static ) so that all files inside it can be accessed via a URL. from fastapi import FastAPI from fastapi.staticfiles import StaticFiles app = FastAPI() app.mount("/static", StaticFiles(directory="static"), name="static") Example 1: Using an Image Place an image file (for example, fa-logo.png ) inside the static folder. main.py from fastapi import FastAPI, Request from fastapi.responses import HTMLRespon...
Read more