“A madman’s joke. That’s just what makes it so deliciously macabre.”
AAINA Dramatics presented their main production of the semester, The Mousetrap, which impressed the audience with its perfectly arranged sets and exceptional acting.
Electrific was an especially charged category at TechTatva. With events like Electropoly, Colour Rush, and Circuitrix, Electrific added an element of fun to the seemingly complex field of electronics. Read on for more.
IECSE organised a workshop on the basics of Git and Markdown in support of the Swachh Bharat Abhiyan with the aim of combining technical knowledge and environmental awareness. The workshop helped students learn about the web-hosting portal, GitHub and also allowed them to rake up a few hours on their Swachh Bharat Internship.
In Kraftwagen, participants designed and built their very own multi-purpose bots with help from the organisers. They were put to the test in a series of obstacle courses and challenging tasks. Only the strongest bot was able to emerge as the winner in this battle of machines.
Mechanize was the category at Tech Tatva this year for lovers of Mechanical Engineering as students flocked in to try to solve some basic engineering problems and innovate their way to victory. Read on to find out more.
The MUTBI Student Entrepreneurship Cell organised the Manipal Entrepreneurship Summit on 26th October. The event aimed to impart valuable knowledge to students who might one day grow to become the leaders of our economy.
In a step towards a more environment-friendly campus, MIT unveiled an electric buggy on Saturday afternoon. The vehicle, donated by MIT alumni Sandeep Maini, will be used for transport within the campus.
In their first ticketed event of the semester, The Astronomy Club organised a webinar by Dr Varun Bhalerao, a leading Research Scientist at LIGO. He threw light upon many advancements in astrophysics and space technology such as neutron star mergers, the LIGO-India observatory, and the AstroSAT satellite.
The Data Science Club held an interesting workshop on Image Recognition using deep learning. They explained the process of neural networks and how image classifiers work while studying Image Recognition, as it is a widely used introductory example in the field of Machine Learning.