Honad R&D

 

2020

Tushar Mishra

What are the sources that you used for your preparation? (books/online courses/coding practice websites)?
I had prepared for data science/ML and software roles

  • Coding - Interviewbit, and hackerrank
  • ML - Deep Learning Specialization (Coursera) and CS231n (Computer Vision course of Stanford University - Lectures and assignments are publicly available and ML blog posts on medium
  • Puzzles - Brainstellar.com

Prefered work experience/projects

  • What are the experiences/responsibilities, internships and projects that helped you in the selection process? (PORs and type of projects they undertook)
    ohk so
    1. POR - I was an Activity Associate for NSS in my 2nd year 2. Internship - 2nd Yr - I was a Product Analyst at a startup called AppitSimple. Work in that internship was equivalent to a AE102 project, but on a lot of data sources. 3rd yr internship had been rescinded due to covid. 3. Projects - I had done a couple of self projects some of which were taking assignments of CS231n and improving the ML models presented in those assignments. I had also built a LSTM based machine translator (Another self Project)

Information about Projects/Assignments: They were easy, but you should regularly read the content given, it is not huge, but if you start procrastinating, you will never be able to catch up. TA’s and prof are very very helpful.

Quizzes/Midsem/Endsem papers Difficulty: 3/5

Overall Course Difficulty: Moderate

Average Time Commitment: (Apart from lectures and tutorials) Less than 3 hrs

Attendance Policy: No strict policy for attendance. We are given material to read and if someone has any doubt, then they can attend the class and clear their doubt.


Professor’s Teaching Style: Sir is very patient and understanding. He explains things well, although there aren’t many doubts if you read the text properly, but in case you do, sir will help you right away on whatsapp and definitely in regular class.

Should you do this course?: All those who want to see a different perspective of Aerospace. It also helps in the course of Propulsion.


2021

Sargun Sohal

Sources For Preparation: Introduction, Various fuels, solid, liquid and gaseous fuels, Aviation fuels requirements and specifications. Chemical thermo-dynamics, Laws of thermodynamics applied to reacting systems. Equilibrium composition, Adiabatic flame temperature. Chemical kinetics, Reaction rates, Gas phase reactions, Surface reactions. Combustion : Premixed and diffusion flames, Laminar and turbulent flames, Flame velocities, Flame propagation theories, Diffusion flame, Droplet Combustion. Application to gas turbine combustor and rocket engine.

Evaluation Structure: It was based on mid-sem, end-sem written exam, one project and one assignment.

Motivation to take up the course: The course was different from our regular core courses and was a bit inclined towards chemistry which happens to be my strong hand. Hence!


Information about Projects/Assignments: They were easy, but you should regularly read the content given, it is not huge, but if you start procrastinating, you will never be able to catch up. TA’s and prof are very very helpful.

Quizzes/Midsem/Endsem papers Difficulty: 3/5

Overall Course Difficulty: Moderate

Average Time Commitment: (Apart from lectures and tutorials) Less than 3 hrs

Attendance Policy: No strict policy for attendance. We are given material to read and if someone has any doubt, then they can attend the class and clear their doubt.


Professor’s Teaching Style: Sir is very patient and understanding. He explains things well, although there aren’t many doubts if you read the text properly, but in case you do, sir will help you right away on whatsapp and definitely in regular class.

Should you do this course?: All those who want to see a different perspective of Aerospace. It also helps in the course of Propulsion.