Name: Train the Trainer Workshop
Start: 2019-10-15T10:00:00+01:00
End: 2019-10-16T17:00:00+01:00
Location: Ada/Augusta

Train the Trainer Workshop

We are the UK’s national institute for data science and artificial intelligence.The Institute is named in honour of Alan Turing, whose pioneering work in theoretical and applied mathematics, engineering and computing is considered to have laid the foundations for modern-day data science and artificial intelligence. The Institute’s goals are to undertake world-class research in data science and artificial intelligence, apply its research to real-world problems, driving economic impact and societal good, lead the training of a new generation of scientists, and shape the public conversation around data.Click here to join our newsletter

The Alan Turing Institute

This 2-day workshop session will help you develop or improve your teaching skills, including designing and evaluating learning materials. You must be available to attend both days of the workshop. If you sign up, it will be assumed that you will be present for both days. You will have received our new cancellation policy with the comms for this workshop. If you did not receive the cancellation policy, please contact Student Services. 
Lunch will be provided, please let us know if you have any specific dietary requirements.
 
 
Train-the-Trainer courses are for scientists:
<UL>
<LI CLASS="MsoNormal">with some to little or no teaching experience,</LI>
<LI CLASS="MsoNormal">who want to become a teacher or a better one, and</LI>
<LI CLASS="MsoNormal">who believe teaching is - or may become - a relevant aspect of their professional development.</LI>
</UL>
 The course is made up of four sessions, covering
<UL>
<LI CLASS="MsoNormal">Learning principles and how they apply to training</LI>
<LI CLASS="MsoNormal">Training techniques that can be used to enhance learner engagement and participation</LI>
<LI CLASS="MsoNormal">Assessment and feedback in training</LI>
<LI CLASS="MsoNormal">Session, course, and materials design</LI>
<LI CLASS="MsoNormal">The workshop format is very interactive and hands-on.</LI>
</UL>
 Learning Objectives
<UL>
<LI CLASS="MsoNormal">To get acquainted with Learning principles and how they apply to training</LI>
<LI CLASS="MsoNormal">To be able to select and utilise training techniques that can be used to enhance learner engagement and participation</LI>
<LI CLASS="MsoNormal">To learn how to use assessment and feedback in training</LI>
<LI CLASS="MsoNormal">To learn about session, course, and materials design</LI>
</UL>
 Learning Outcomes
<UL>
<LI CLASS="MsoNormal">Learners can tell which learning principles a good trainer should have in mind</LI>
<LI CLASS="MsoNormal">Learners can describe training techniques drawing on learning principles</LI>
<LI CLASS="MsoNormal">Learners will be able to tell how to facilitate active learning</LI>
<LI CLASS="MsoNormal">Learners can design a training session and a course</LI>
<LI CLASS="MsoNormal">Learners can develop assessment questionnaires</LI>
<LI CLASS="MsoNormal">Learners can tell what types of materials are needed for each part of a training session</LI>
</UL>
 
Following the TtT, participants will have the opportunity to get some training experience by joining existing teams of trainers at the University of Cambridge and deliver courses as part of the Bioinformatics Training Program.
The portfolio of postgraduate courses currently on offer as part of this program covers a wide range of topics that can be broadly categorized as: (i) core skills, and (ii) application focused.
The “Core skills” courses aim to provide users with an introduction to programming languages and computing environments (e.g. Python, R, Unix, Matlab), introductory statistics and best programming practices (i.e Software Carpentry). For all of these courses, the focus is always on how to use programming languages, statistics and best practices to solve biological problems. R and Python courses are available for beginners as well as intermediate users.
 The “Application focused” courses aim to familiarise participants with advanced data analysis methodologies and provide hands-on training on the latest analytical approaches for a particular application. Applications covered include RNA-seq (bulk and single cell), ChIP-seq/ATAC-seq, variant discovery, imaging, proteomics, metabolomics, and machine learning, to name a few.
Workshop Schedule:
Day 1 9:30                             Registration, coffee and welcome
10:00 Morning session:        Review of learning principles and how they apply to training
12:30                           Lunch break
13:30 Afternoon session:      Training techniques that can be used to enhance learner engagement and participation
16:45 - 17:00               Wrap up of the day
 
Day 2
9:30                            Welcome back, coffee
10:00 Morning session:        Session, course, and materials design
12:30                          Lunch break
13:30 Afternoon session:     Assessment and feedback in training
16:45 - 17:00              Wrap up of the workshop

Ada/Augusta

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Train the Trainer Workshop

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Train the Trainer Workshop

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