ACE Week – An introduction to computer programming using Python
This event is part of the School of Social Sciences' ACE week and open to School of Social Sciences students only.
This session will cover the basics of computer programming using Python.
- From: Tuesday 15 November 2016, 10 am
- To: Tuesday 15 November 2016, 4 pm
- Location: Chaucer 424, Chaucer building, Nottingham Trent University, City Campus, Goldsmith Street, Nottingham, NG1 5LT
- Download this event to your calendar
This event is for social science students as part of ACE Week, which is your chance to:
- explore your chosen subject through a range of activities
- debate topics relevant to your subject with social science students from other courses and years
- engage with a range of extracurricular activities to complement your studies and future career.
An introduction to computer programming using Python
This session will cover the basics of computer programming using Python (one of the most easy-to-understand languages for beginners). It will give you an understanding of programming principles and practical experience for you to further develop your skills in this area.
The event will consist of two practical sessions where you'll learn and practice the basics, before writing your own small programme.
What you need to check before attending the event:
Are you studying BA (Hons) Social Work or a postgraduate course? You'll still have scheduled teaching, seminars or will be on placement. You are very welcome to attend our ACE Week events that do not clash with your scheduled teaching.
Want to join the conversation about ACE Week? Use #aceweek
This event is free to attend but places are limited so we recommend you book your place as soon as possible.
Please click on the "Add to basket" button above and complete the short online booking process to reserve your place.
If you have any questions about this event, please contact Sally Andrews for more information.
The School of Social Sciences reserves the right to postpone or cancel in the event of any unexpected staff absences.