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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.
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