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Programming with Python – residential

CP283 Face to face course

Over this three day residential you'll learn how to program using Python, moving from the basics to working with data and advanced subject knowledge.

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Key stage 3 Key stage 4
Face to face course 3 days
  • York 19 January 09:00—21 January 2022

Take your first steps to becoming a competent teacher of Python programming; this CPD will develop your foundational knowledge around the Python language. During this three day pathway you’ll learn about the three main programming concepts, sequencing, selection and iteration; sub-routines including functions and procedures; using arrays and external data files; advanced programming techniques including validation and using authentication.

This CPD package will provide you the opportunity to develop your GCSE Computer Science knowledge leading towards recognised certification. You'll be supported along the way by experienced teaching professionals, among a group of your peers. You'll participate in live face to face CPD and mentored online CPD on-demand.

By engaging with this CPD, you'll become confident in supporting students with programming using Python. You'll take-away ready-to-use and successful teaching approaches from experienced teachers, supported by the latest research and evidence.

This CPD package includes three courses:

  • Python programming constructs: sequencing, selection & iteration
  • Python programming: working with data
  • Python programming: advanced subject knowledge, implementation and testing

As this is a residential course, meals and overnight accommodation are included for participants for the duration of the course. Bursaries are also available for teachers from state-funded schools and colleges which can be used towards travel, supply cover, teaching equipment or further local CPD.

Who is it for?

This pathway is intended for teachers who have some basic knowledge of programming, either using block or text based languages. We recommend that you attend the ‘Introduction to algorithms, programming and data in computer science’ course if you’re new to programming.

Topics covered

This pathway is intended for teachers who have some basic knowledge of programming, either using block or text based languages. We recommend that you attend the ‘Introduction to algorithms, programming and data in computer science’ course if you’re new to programming.

How long is this course?

You’ll complete three courses from the Computer Science Accelerator programme, totalling approximately 15 hours, split across three days.
Online courses are also available free of charge, these are available to complete before, alongside or after the face to face courses.

How will you learn?

Hands-on experiential learning with the collaborative support of your peers. Expert advice and instruction on the GCSE curriculum and the expectations of a computer science teacher, from experienced classroom practitioners

Outcomes

By the end of this CPD residential you will be able to:

Python programming constructs: sequencing, selection and iteration:

  • Develop some basic program constructs using variables, handling user input and output to the screen
  • Follow the flow of a program, identifying values held in variables at different stages of execution
  • Create and control indefinite loop structures in programs
Python programming: working with data:
  • Understand why modular programs are easier to understand, build and maintain
  • Include user-written and built-in functions in programs, passing data between functions and main programs
  • Understand the need for structured data, and manipulate simple data in Python lists
  • Explain the differences between commonly used file formats, and manipulate their contents using Python code
Python programming: advanced subject knowledge, implementation and evaluation:
  • Understand how to implement advanced programming techniques within a working solution
  • i.e. authentication, nested selection & iteration.
  • Learn the importance of the implementation and testing stages of the software development life cycle.
  • Understand the differences between iterative and final testing, including the different types of test data normal, boundary and erroneous

This course is part of the Subject knowledge certificate

Subject knowledge certificate

Our professional development programme, Computer Science Accelerator, is designed to help you develop or refresh your subject knowledge and leads to a nationally recognised certificate.

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