u/IllStatistician3433

Guys I want genuine suggestions

I currently hold an offer from IIIT Delhi ECE M.Tech, round 1 allotment and a JRF recommendation from IIT Kanpur. They have a provision of applying for MS (CSE) and the project duration is 4 years, since I am already GATE qualified. My mother's skepticism is about placement opportunities after MS (CSE) as MS is research oriented. She says we can have an open discussion and decide whether Kanpur can give placements after your MS is completed

They also have a provision of applying for PhD but my mother says that that's a lifelong discussion and at the age of ~22, you don't have to fix a specialisation. She had also asked me to not say no anywhere since it's IIT Kanpur. Could anyone provide placement opportunities considering these in mind?

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u/IllStatistician3433 — 17 hours ago

JRF interview experience

Project position at: Indian Institute of Technology, Kanpur

Q1) Share a presentation (was asked to make) with 5-10 minutes explanation on your background and projects relevant to Computer Networks and Systems.

From hereafter, he asked me to unpin Ask Gemini on top.

Q2) Check whether an array is monotone increasing or decreasing. (Just use two counters, one for inc and another for dec. If either of them equals the number of elements in the array, the respective monotone holds. Both can't be equal to the maximum.)

Q3) There are elements present in the Linked List. Add an element at the end. (Temporary variable updated to the end.) Sir helped me in things like why node=temp.next. he said think again

Q4) Number of hosts in a classful address space (Obviously you have to identify whether it's classful or classless.) (I was asked for class C). Two addresses are reserved, one for the network and another for broadcast. I was asked to write the IP Address of both. One is at the start and another is at the end. I think the network is the first one and the broadcast is the last one.

Q5) How does DNS work (Answered with a correction after I realised that domain names do not have access to MAC 🥲🥲🥲.)

Q6) What is DHCP? (Okay I don't know 🥲)

7 and 8 are projects based.

Q7) What are persistent connections in Socket Programming? (Websockets provides persistent connections which do not have TCP/IP connection overhead everytime.)

Q8) What is a 3 way Handshake (Sir wanted exact packet names and asked me to Google it right in front of him.)

How soon can you join? (I admitted July first week)

As you can see, I have a broken understanding of Computer Networks (I am the guy who studies from professor and she was communication expert and was just given CN to teach. So even she had issues teaching concepts like TTL.)

Okay that was an interesting half an hour with an IIT Kanpur professor looking for commitment.

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u/IllStatistician3433 — 19 hours ago

I wish to provide a few tips on improving intuition related to Signal Processing and Control Systems

This might help GATE EC aspirants a little for interviews.

Many professors love filters for some strange reason. This is from my research and toy projects but helped in learning.

Q) Given a signal, how would you draw a power spectrum?

A) Analyse the frequency of the signal. If it's a 5 Hz sine wave, the power spectrum would only have a spike on 5 Hz and based on the amplitude, plot the y point. Okay fair enough.

Do some variations like different frequencies, amplitude, etc. Plot the time series signals and their power spectrums using Python or MATLAB and map them accordingly for real world intuition.

Q) If someone asks you to design a filtering mechanism for EEG signals, how would you filter frequencies from it?

A) EEG signals are brain signals, so some swift fluctuations are useless for analysis, also frequencies of greater than 45 Hz like eye twitches and other muscle artifacts are noise. To denoise this signal, use a bandpass filter and digitally, design a Hamming or Hanning window FIR filter. Maybe not everyone can guess the exact cutoff range but can think of possible noise sources like the machine itself that causes swift fluctuations.

Q) If we are extracting electrical signals from plants, there's a mechanism that's converting chemical energy to electrical energy, probably a transducer. What kind of filters would you use there?

A) Since these are electrical signals, power line frequencies are noise for us, so use a Notch filter and draw its frequency response. Other than that, you can use a bandpass filter to remove lower and higher frequencies than a cutoff for that application that are basically noise.

Someday I will tell you about Embedded Systems as well. It's another niche area where communication, operating systems and C programming are heavily used.

Guys I have written these from memory so correct any plausible error and add your own points.

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u/IllStatistician3433 — 6 days ago

If someone's preparing for C programming for written tests at IITs

Here's a concise PDF I found online. I am sharing it because I found it relevant to the kind of questions asked in IITH M.Tech Smart Mobility RA/SS test on 8th May. It's published by IITD on the internet and has concepts like static, typedef, structs, unions, pointer arithmetic. Although it's only theory but good for one day before kind of revision.

https://www.cse.iitd.ac.in/\~saroj/IITJ/C\_notes.pdf

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u/IllStatistician3433 — 6 days ago

This is a tip for whoever is paying for CCMT

After you pay, wait for the gateway of 15 minutes to get over. If your transaction is successful by the bank, it will redirect after timeout. Don't panic if it doesn't after your money is debited

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u/IllStatistician3433 — 7 days ago

Project Scientist 1 Interview Experience if it helps someone

Project position at: Indraprastha Institute of Information Technology, Okhla , New Delhi

GATE qualification was essential and higher than bare minimum was preferred

Ma'am took my interview in Hindi but I will write in English so that everyone understands.

Q1) In a binary classifier, what is the structure of output node if you take a neural network? (Just one node)

Q2) Number of trainable parameters in a CNN model with input image size, kernel size and number of kernels as parameters given. (I didn't know the formula so I told her that I cannot recall it as of now)

Q3) What type of functions generate output at the output node of a neural network? (Activation functions)

Q4) Best activation function for a three class classifier? (I thought it was tanh because it can generate negative, positive and zero values, so i thought we could label them as such.)

Q5) What if it's a 5 class classifier? (Sigmoid, Softmax are standard in Transformers that have multiple nodes in outputs.)

Q6) If I ask you to design a decision tree classifier on your own, how will you do that? (I explained about entropy calculation, number of levels in the tree and the voting algorithm at the end, which is standard and can be changed.) I was about to tell her alternatives that we can engineer ourselves but she interrupted and said Thank You take care bye bye.

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u/IllStatistician3433 — 8 days ago