So how are you really feeling?
Thursday was Time to Talk Day 2018, a chance for us to speak openly about mental health, something that doesn’t happen as much as it should. There is a certain stigma associated with mental health, however when 1/4 people are affected by mental illness each year, it really is time to stamp out the sigma and talk about mental health. Following on from Paula’s post about what to do if you are worried about a friend’s mental health, I thought I would share some first hands tips of how to stay mentally healthy in a university environment and what to do if you feel that you are suffering in any way.
If you’re thinking about studying maths at Imperial, you might be wondering what kind of problems first year studenst are supposed to solve in the tutorials. Last term I was a graduate teaching assistant (GTA) for a course Probability and Statistics I. Let’s see an example of a question posed by the lecturer, prof. Emma McCoy.
Imagine that n people, including yourself and a friend, are seated at random in a row of n chairs. What is the probability that you sit next to your friend?
This problem is easier than you think, especially after following the lectures. I’ll explain how to tackle this problem here.
The MSc in Business analytics is an intense year of rigorous technical and quantitative training. It prepares students to solve business problems using a variety of statistical, operations research and machine learning techniques.
What you learn in class is usually just a small part of what you end up doing in group projects and homework. There is a huge amount of good resources you can use to learn new material or enhance your knowledge in a topic.
In this blog, I wanted to share the most useful sources I found in case you’re planning to pursue this program at Imperial.
Before you start the program: the basics
Statistics and probability
Start by revising your math skills in statistics and probability.
Let’s face it: doing a PhD isn’t always rainbows and unicorns. The process can be painful and annoying, and at some point you’re probably going to get completely stuck. If you’ve ever done any research, you definitely know what I’m talking about.
There’s something you need to do, usually some task that was supposed to be easy – a toy example, an almost standard code, a “quick” experiment to check your hypothesis. And here you are, spending long hours, days, weeks, even months, not even closer to solving your problem. You’ve tried everything, used all possible sources you could find, but this devil isn’t giving up.