CompSoc has had a great Michaelmas, and we hope you've enjoyed our
events this term. If you have any feedback, please don't hesitate to
contact a committee member :). Before I wish you a great vac, I'd like
to slip in a few eighth week notices. Firstly, we have our Termly
General Meeting on Wednesday, when the committee will report on the term
and we plan to pass some minor changes to the constitution. *If you
can't come and you're a member, please contact me with your intention to
vote by proxy.*
We won't have an /official/ geek night this Saturday, but if you're
still in Oxford at least one committee member will be in the department
on Saturday evening.
Have a great vac!
Thomas and the rest of the committee
Termly General Meeting
*Undergraduate Social Area, Department of Computer Science - 7pm
Wednesday (8th week)*
The committee will report on its activity this term, and we plan to pass
a few minor changes to our constitution. In order to meet quorum, we
need at least 20 people to attend. If you cannot attend but you are a
member of the society, please inform a committee member of your
intention to vote by proxy.
Food will be provided :).
Bloomberg Tech Talk and Trading Game
*Bloomberg HQ, London - 5:30pm Tuesday (8th week)*
This event is in London, but Bloomberg have kindly offered to pay for
train tickets for CompSoc members wishing to attend the event. If you're
interested in going, please sign up via the above link and contact me so
that I can pass on your name to Bloomberg if you'd like your ticket
*Tech Talk: Data Mining usage patterns for building the right thing,
building the thing right and supporting the thing better!*
This talk will cover how Data Analysis and Machine Learning from usage
patterns across large data sets is being used to predict bug reports,
improve automated testing, and make tough decisions on what features to
add to our software. We realised that data gathered for regulatory audit
purposes, on millions of daily trades at Bloomberg, is an invaluable
resource for analysis of our system's behaviour.
In this talk, we'll share the various opportunities this data has
uncovered, the techniques we used for statistical analysis-based machine
learning, and the data visualization behind it. The work we're planning
and discoveries we've made promise to answer some very hard questions
around prioritizing features to implement, reducing support costs,
improving the automated test coverage and beyond. This also spawned an
automated testing framework that allows the system to self-test by
replicating the millions of daily trades in a secure test environment to
achieve quality assurance. This has opened up horizons to build
autonomic systems in the future systems that can both self-test and
The talk will be followed by the Bloomberg Trading Game! This is a fun
simulation where participants will be invited to understand the
financial markets and trading activities through an active, sometimes
frantic team trading game. Mentors will show you how to play the role of
traders, sales and market makers and understand how these different
players add value to the trading ecosystem.
This is a great opportunity to learn how Bloomberg's technologies help
bring transparency and efficiency to the exciting and sometimes volatile
Entrepreneur First: Flexciton
*Lecture Theatre A, Department of Computer Science - 1pm Tuesday (8th week)*
25% of the worlds electricity consumption is consumed by a certain type
of industrial machine, rotating equipment. An industrial plant can spend
hundreds of millions of pounds annually operating these machines yet
their operation is still highly inefficient. The operation of these
machines is highly complex and their inefficiency is driven by human
operators making ad-hoc decisions about their operation - usually based
on the operators past experience. They have significant amounts of data
at their disposal but it is far too complex for the human brain to
comprehend on its own. In this talk we will demonstrate the problem at
hand and show how Flexciton technology applies statistical models and
mathematical optimisation to determine the optimal operation of these
Jamie Potter, 25, is CEO and co-founder of Flexciton, a startup company
disrupting the industrial world. He graduated from Oxford with a masters
in Mathematics and Statistics and then began his career in a consultancy
firm specialising in energy. There he built statistical software for
several large companies including DECC, National Grid and RWE where his
software was used to make multi-billion pound decisions.
Entrepreneur First Careers Fair
*EF headquarters, London - 4:30pm 8th December*
On 8th December Entrepreneur First are hosting an engineering careers
fair for startups in our portfolio who are looking to grow their teams.
Our alumni companies are some of the fastest-growing tech startups in
Europe - they're building anything from low-cost robot arms, to deep
learning visual inspection software; AI assistants for personal finance,
to affordable nano-satellites. You can find out more about the companies
attending here <https://www.joinef.com/alumni>.
*N.B. This careers fair isn't open to the general public and will be
focused on technical positions only. Capacity is limited to 150 tickets,
but if you'd like to reserve a free spot please RSVP.*
If you would like to send across a CV ahead of the day to be submitted
to all companies please email apply(a)joinef.com.
Jane Street Estimathon
*7pm Tuesday (8th week)*
"What's an Estimathon" you ask?! It's a team contest where the goal is
to create confidence intervals to difficult math and science questions.
e.g., what's the volume of the earth's oceans (in cubic km); or, how
many prime number contain strictly increasing digits.
It's a very interactive game and focuses on some ideas that are central
to what we do at Jane Street: thinking about hard problems, assessing
confidence levels, trying to strike a balance between quick-and-rough
estimates versus more refined solutions.
There'll be prizes for the winning team and of course food and drinks
will be provided.
Please sign up here
Jane Street: Women in Trading & Technology
This December, we're excited to host our second edition of Women in
Trading and Technology (WITT) at Jane Street. We're inviting women to
spend two days in our London office to learn more about what we do and
how we do it through a series of classes and activities. Attendees will
receive an in-depth look into the ways we use math and computer science,
as well as insight into the different roles that exist within our firm.
Selected students will arrive in London the morning of Thursday 8th
December and will depart the evening of Friday 9th December. Jane Street
will provide all travel to and from London, housing and of course food
and drinks throughout the event.
The workshop itself will be an introduction to Jane Street. You will
learn about how we use maths and statistics to decide what to trade and
also find out how we use OCaml, a functional programming language, to
build complex distributed systems. You will take part in some problem
solving sessions and interactive games that will give you some insight
in to how we work.
Women interested in attending should apply here
<https://www.janestreet.com/apply-witt/> to be considered for a spot in
the program. Soon after applying, you’ll receive an invitation to
complete a puzzle.
*The deadline to apply for this event is Wednesday 30th November.* If
you have any questions, please don't hesitate to email lborgo(a)janestreet.com
Good luck with the application process and we hope to meet you soon!
The Oxford University Computer Society (CompSoc) aims to organise
meetings and events for our members to use and further their computing
interests. See all of our upcoming events on our Facebook Page
<https://twitter.com/oxcompsoc>, or visit our website
<https://ox.compsoc.net> for more information about the society.
Secretary - Oxford University Computer Society