Hello again!
Thinking of CompSoc, you forget everything else.
*Learn to Code* is starting up this coming Friday (and every subsequent
Thursday)! If you’re an absolute beginner and want to learn how to code,
come to Learn to Code. We’ll be teaching Python, one of the world’s most
popular
<https://www.economist.com/graphic-detail/2018/07/26/python-is-becoming-the-worlds-most-popular-coding-language>
programming languages and the perfect place to start coding. The first
session has been extremely popular, so make sure to arrive early! This
year’s Learn to Code is being generously sponsored by Gold sponsors
JP Morgan Tech Connect and TPP and Silver sponsor Ensoft. Join the Learn to
Code Facebook group <https://www.facebook.com/groups/OXLearnToCode> to get
updates.
If you already know how to program, we greatly appreciate any time you can
spare to help out at our session. Join the Learn to Code Helpers Facebook
group <https://www.facebook.com/groups/OXLearnToCodeHelpers/> to get more
info.
This email’s a bit late as I’ve been competing in some Smash tournaments
held by Oxford’s Smash community - ask me about that if you’re interested ;)
By the way, if there’s a Geek Night theme you’d love to see us run - let us
know, and we’ll look into it.
Peace,
*Joe G and the rest of the committee*
------------------------------
Events Excuse for Pizza <https://www.facebook.com/events/645361592563728/>
*19:00, Wednesday, Week 2, UGSA, Department of Computer Science*
There’s no talk scheduled for this Wednesday, so come along to the UGSA and
pizza will be provided whilst we all work on problem sheets or whatever
people want to do.
Learn to Code 1: Getting started with Python
<https://www.facebook.com/events/392701881464918/?event_time_id=392701894798250>
*19:00, Friday, Week 2, Lecture Theatres A and B, Department of Computer
Science*
Learn to Code is back! If you’ve ever wanted to learn the basics of
programming, refresh your Python knowledge, or get an idea of what computer
scientists actually do all day then this is going to be a great course for
you 😃.
We aren’t going to assume any prior programming experience, although to get
the best out of the sessions we highly recommend that you bring a laptop so
that you can follow along with some of the examples. It doesn’t matter
whether you use Windows, Mac, or Linux, and in the first session we’ll
explain how to get started on any of these platforms.
In this course we are going to be using the programming language Python,
which is one of the easiest languages to pick up if you’ve never programmed
before. It is widely used in the technology industry – YouTube, NASA, and
Wikipedia are just three examples. If you need to learn R at some point
during your degree, you may find that an introduction to Python will help
you pick up basic computational thinking ideas faster.
We do expect demand to be very high for this course, so please try to
arrive before the advertised start time as we need to register everyone
(for fire regulations). You’ll need to enter via the back door on Parks
Road; there are CompSoc signs up at the department. The course is open to
all members of the University of Oxford.
If you’re a CS student with a little spare time and enthusiasm, please
consider volunteering by contacting the committee.
Learn to Code is kindly sponsored by Gold sponsors JP Morgan Tech Connect
and TPP and Silver sponsor Ensoft.
Geek Night 2
<https://www.facebook.com/events/138417413750645/?event_time_id=138417417083978>
*19:00, Saturday, Week 2, UGSA, Department of Computer Science*
Bring your laptop for an evening of relaxing, chatting, games, coding and a
selection of food and drink.
If you’d like to suggest themes for our Geek Nights - we’re all ears!
Tech talk with CoreFiling: IPv6: are we there yet?
<https://www.facebook.com/events/383293635790854/>
*19:00, Wednesday, Week 3, Lecture Theatre A, Department of Computer
Science*
Abstract pending.
Learn to Code 2: Control structures
<https://www.facebook.com/events/392701881464918/?event_time_id=392718204796619>
*19:00, Thursday, Week 3, Lecture Theatres A and B, Department of Computer
Science*
Learn to Code is back! If you’ve ever wanted to learn the basics of
programming, refresh your Python knowledge, or get an idea of what computer
scientists actually do all day then this is going to be a great course for
you 😃.
We aren’t going to assume any prior programming experience, although to get
the best out of the sessions we highly recommend that you bring a laptop so
that you can follow along with some of the examples. It doesn’t matter
whether you use Windows, Mac, or Linux, and in the first session we’ll
explain how to get started on any of these platforms.
In this course we are going to be using the programming language Python,
which is one of the easiest languages to pick up if you’ve never programmed
before. It is widely used in the technology industry – YouTube, NASA, and
Wikipedia are just three examples. If you need to learn R at some point
during your degree, you may find that an introduction to Python will help
you pick up basic computational thinking ideas faster.
We do expect demand to be very high for this course, so please try to
arrive before the advertised start time as we need to register everyone
(for fire regulations). You’ll need to enter via the back door on Parks
Road; there are CompSoc signs up at the department. The course is open to
all members of the University of Oxford.
If you’re a CS student with a little spare time and enthusiasm, please
consider volunteering by contacting the committee.
Learn to Code is kindly sponsored by Gold sponsors JP Morgan Tech Connect
and TPP and Silver sponsor Ensoft.
------------------------------
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://facebook.com/oxcompsoc/> or visit our website
<https://ox.compsoc.net> for more information about the society.
Want to unsubscribe or manage your subscription preferences? Go to
http://lists.ox.compsoc.net/mailman/listinfo/.