Hey there! Before I packed my bags and traded Hong Kong vibes for UK adventures, I had a blast studying in the northern American central plain. In the US, I immersed myself in the fascinating world of meteorology, sprinkling in a bit of math for extra flavor. Fast forward, and I proudly walked away with a bachelor’s degree in atmospheric science and a minor in mathematics – trust me, those snowy days were excellent for both studying weather and calculating equations.
But wait, there's more! My academic journey took an unexpected twist when I decided to spice things up with a master’s degree in computer science. That's right, I dove headfirst into the world of AI, blending my meteorological knowledge with the wizardry of technology.
Now, as I embark on this new chapter in UK, I'm ready to bring my unique combo of meteorological insight and tech-savviness to the table. Let's make calculus and coding a little more fun, shall we?
During my time as a graduate student teaching assistant at the university I had dived into the world of programming, data structures, and algorithms with my students. My role was like a blend of coding superhero and problem-solving mentor. I not only assisted students with their assignments but also conducted lively recitation classes. And hey, let's not forget the creative side – for some classes, I even got to dream up and challenge students with weekly programming assignments. It was an exhilarating experience filled with coding adventures!
When it comes to teaching, I like to keep things dynamic and exciting. I'm all about adapting to each student's specific learning style because, let's face it, one size doesn't fit all in the world of learning! But here's the fun twist: before we jump onto the educational rollercoaster, I make sure to sit down with my students and have a chat about their goals. It's like plotting a treasure map before the big adventure! So, we plan together and set off on a journey filled with laughter, discovery, and of course, lots of learning!
Languages | Cantonese, English (American) |
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Availability | Weekends, Weekdays (evenings) |
References Available | On File |
University of North Dakota | 2023 | Masters | Degree |
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Maths | In-person | Online |
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University | £30 | £25.50 |
Casual Learner | £30 | £25.50 |
Computer Studies / I.T. | In-person | Online |
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Secondary | £24 | £20.40 |
GCSE | £26 | £22.10 |
A-Level | £26 | £22.10 |
University | £30 | £25.50 |
Casual Learner | £30 | £25.50 |