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    Computer Science Teacher’S Guide: Solving Python Errors

    Posted By: ELK1nG
    Computer Science Teacher’S Guide: Solving Python Errors

    Computer Science Teacher’S Guide: Solving Python Errors
    Published 11/2024
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 517.29 MB | Duration: 1h 30m

    Master Python Debugging: Empower Computer Science Teachers to Teach Computing with Confidence.

    What you'll learn

    Build confidence in debugging student code

    Quickly diagnose and solve student coding errors

    Empower your students to debug their code independently

    Transform into a classroom debugging hero

    Requirements

    You should be familiar with creating basic Python code including input, print, if statements, for and while loops, lists, the random library, arithmetic and logical operators and subroutines (functions and procedures).

    Description

    Are you a computer science teacher or non-specialist tasked with teaching Python? Does debugging student code leave you feeling frustrated or unsure? This course is your ultimate guide to teaching computing with confidence, mastering Python and helping your students become independent programmers.This practical, hands-on course is tailored for teachers teaching Python at KS3 or GCSE levels. Whether you’re a seasoned computing teacher or new to coding, you’ll gain the knowledge and skills to:Understand and resolve Python errors quickly and effectively.Build confidence in diagnosing and fixing common student coding mistakes.Empower students to debug their code independently, reducing their reliance on you.You’ll explore popular Python platforms like Replit, Jupyter Notebook, Thonny, PyCharm, Mu, IDLE and Raspberry Pi’s editor, ensuring that no matter what platform you use, this course is the perfect fit.We’ll cover:Python error messages: syntax, indentation, name, type, zero division, file not found, index, and module errors.Logic and runtime errors, including infinite loops and tracking variables with trace tables.Debugging practice with real-world examples and solutions.Proven classroom techniques like rubber duck debugging and the "3 B4 Me" method to promote student independence.You’ll also learn how to integrate AI tools like ChatGPT to assist with debugging.By the end of this course, you’ll feel ready to tackle Python programming challenges in your classroom, transforming how you teach computing and building a smooth, productive learning experience for your students.Take the first step toward becoming a Python debugging hero for your students - enrol today!

    Overview

    Section 1: Introduction

    Lecture 1 Introduction

    Lecture 2 Who am I?

    Lecture 3 Python knowledge

    Lecture 4 Which Python platform to use?

    Section 2: Understanding error messages

    Lecture 5 About this section

    Lecture 6 Syntax errors

    Lecture 7 Indentation errors

    Lecture 8 Name errors

    Lecture 9 Data type errors

    Lecture 10 Index errors

    Lecture 11 Zero division errors

    Lecture 12 File not found errors

    Lecture 13 Module not found errors

    Section 3: Debugging when there may not be an error message

    Lecture 14 About this section

    Lecture 15 Logic errors

    Lecture 16 Runtime errors

    Lecture 17 Using trace tables

    Lecture 18 Using AI to help debug programs

    Lecture 19 Debugging practice

    Section 4: Helping pupils debug their own code

    Lecture 20 About this section

    Lecture 21 Rubber duck debugging

    Lecture 22 Reading error messages

    Lecture 23 3 B4 me

    Section 5: And finally…

    Lecture 24 Bonus content

    Designed for computer science teachers seeking to enhance their Python debugging and teaching skills.,Perfect for non-specialist teachers who want to build confidence in teaching Python effectively.,Tailored for educators teaching KS3 and GCSE computing in UK secondary schools.