Background: B.Tech in CSE from WBUT (2017) CGPA – 9.1
Work Experience: Subex, Bangalore, and Cognizant, Kolkata.
GATE Score: 608, Year: 2020, AIR: 1746
Interview date: 12th Dec 2020 online on MS Teams.
Shortlisting criteria: Visit https://ai.iith.ac.in/mtech-admissions.html for more details.
For admission to the program, there will be a preliminary shortlisting depending upon the academic background and GATE score. Candidates who satisfy the shortlisting cutoff need to appear for a written test and/or an interview.
I received mail for the interview on 8th Dec 2020. There were exactly 10 candidates who got shortlisted.
In the mail, they mentioned which all topics to prepare –
The interview will test, among other things, basic concepts from foundational topics in AI including (but not limited to) programming, linear algebra, probability, calculus and algorithms/data structures.
I had my interviews at 2.30 pm and it lasted for around 15 minutes.
There were three profs in the panel.
Intv1: Introduction.
Intv1: Experience and responsibilities at work.
Intv1: Reason & motivation for M. Tech. and knowledge of AI
Intv1: Machine learning algorithms that I know of. B. Tech project and why AI?
Intv1: Describe how the Support Vector Machine works.
Intv1: Naive Bayes classifier and Bayes theorem.
Intv2: Rank of matrix and how to find that & it’s significance. The rank of an Identity matrix.
Invt2: Meaning of Linearly independent vectors.
Intv2: Conditional probability of throwing a fair dice multiple times.
Now, Invt3 asked 5 MCQ questions by sharing his screen which are from Quantitative aptitude and Engineering Maths.
Invt3: How many rectangles are there in this diagram? (Diagrams were similar as shown below.)
Intv3: Generalize and deduce a formula for the previous question.
Invt3: Find the angle numbered 8 for the given diagram. (Diagrams were similar as shown below.)
Invt3: Is 961 a prime number? Explain the algorithm that is used to solve the problem.
Invt3: $\int_{+\infty}^{-\infty} sin(x)\ –\ cos(x) dx$
Total Selected: 4 out of 10 under four different projects.
Result: Selected under a project which is an application in the field of Computer Vision.
Here is the long struggle fruit :
I owe this success to GateOverflow and all its members.
Thank you Arjun Sir for creating this platform and allowing students like me to achieve their dreams and get the highest quality of CS knowledge even if one is not from a good college absolutely at no cost. I was fortunate to meet him at IISc, 2017.
The amount of knowledge I learned from answers and comments from members of GO is amazing. I want to thank all of the peers, seniors, and mentors of GO for their selfless contribution to the platform.
“GateOverflow is the key to open GATE and other opportunities”
