Python programming: analysis, design and evaluation - face to face CJ244 / B01

Start date
7 Feb 22
Duration
1 Day
Location
Carmel College, The Headlands, Darlington DL3 8RW View on Google Map

This course still has availability, book now

Summary

As you progress beyond the basics of Python programming, this course will help you develop an understanding how programs are developed using the software life cycle, specifically the analysis, design and evaluation of a working solution.

During this course you’ll develop your understanding of how to analysis a set of requirements, including spotting patterns of which programming techniques maybe required, how to interpret these requirements through the use of abstraction and decomposition and learn how to develop decomposition diagrams to aid the planning of a programming project.

You’ll also explore how to effectively design a program, based upon your analysis of the requirements. You’ll build algorithms represented as either pseudocode or flowcharts to represent your designed solution.

Finally, you’ll learn how to effectively evaluate whether your programming project has been a success.

Mapped closely to the specifications of GCSE computer science, the course will provide you with deepened knowledge and confidence that your students are equipped for assessments.

Prior Knowledge:

You’ll need to be confident in the essentials of sequence, selection, iteration and working with data files to access this course. It’s recommended that you undertake the following courses prior to this one: Python programming constructs: sequencing, selection and iteration and Python programming: working with data.

If you are entirely new to computer science, we recommend first participating in our one-day course: An introduction to algorithms, programming and data in GCSE computer science

To compliment this course Python programming: advanced subject knowledge, implementation and testing is also available. It’s recommended that you complete this course alongside, to give you the knowledge of the full software life cycle.

Recommended next steps:

This course forms part of the Computer Science Accelerator Programme. To compliment this course Python programming: advanced subject knowledge, implementation and testing is also available. It’s recommended that you complete this course alongside, to give you the knowledge of the full software life cycle.

This course is delivered as part of the National Centre for Computing Education.

Do you prefer to learn remotely? If so, take a look at: Python programming - analysing, designing and evaluation

Who is it for?

This course is for current or prospective teachers of GCSE computer science, to undertake this course it is advised that you have a strong understanding of the fundamentals of the Python language.

What topics are covered?

  • 01 | Analysis of programming project - explore how to interpret a set of programming requirements effectively, you’ll learn more about abstraction and decomposition and how to apply these concepts when analysing the requirements of a project. During this session you’ll learn how to develop a decomposition diagram to support your planning of the project.
  • 02 | Designing a solution - in this session you’ll begin designing an algorithm to tackle the analysis completed in the first session. You’ll explore how pseudocode and flowcharts can be used to represent a design to a solution.
  • 03 | Evaluating a solution - in this session you’ll explore how to evaluate the success of a program, this session will also explore how to write a report for a programming project.

How will you learn?

You’ll engage with active learning in groups including direct instruction, hands-on activities and challenge-based learning. Examination practice with guidance will be linked to the specific requirements of the main awarding bodies. The course will model teaching approaches that can be taken back to the classroom.

How long is this course?

This is a one-day course which consists of five hours of teaching time.

Who is the course leader?

Outcomes

Participants will:

  • Learn the importance of the implementation and testing stages of the software development life cycle
  • Learn how to apply abstraction and decomposition to a programming project during the analysis and design phases
  • Understand how to create suitable algorithms to represent a design to a solution
  • Develop confidence in leading your students as they develop their programming skills

Sessions

DateTimeLocation
1 Python programming projects: analysis, design and evaluation07 February 202209:00-11:00Carmel College
2 Python programming projects: analysis, design and evaluation07 February 202211:00-13:00Carmel College
3 Python programming projects: analysis, design and evaluation07 February 202214:00-15:00Carmel College

Share with your CPD booker

Fees & Bursaries

This course still has availability, book now

Additional information

If the course you would like to attend is fully booked, please contact enquiries@stem.org.uk to express your interest in being added to a waiting list. We will contact you when the course is due to run again.

Interested in this course?

Sign up to receive our emails to hear about the latest CPD available