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Debug Cases: A Comprehensive 16-Week Self-Study Course
Course Syllabus
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Course Description\
\This comprehensive 16-week self-study course, “Debug Cases,” is meticulously designed to transform motivated beginners into proficient troubleshooters. Whether you’re new to the world of software development or an intermediate learner seeking to enhance your problem-solving capabilities, this course will equip you with a robust toolkit of debugging strategies and techniques. We’ll explore various scenarios, from common syntax errors to complex logical flaws, across different programming paradigms and environments. Through engaging lessons, practical examples, and a culminating final project, you’ll learn to identify, diagnose, and resolve issues efficiently, fostering a systematic and confident approach to software debugging.\
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Primary Learning Objectives\
\Upon successful completion of this course, you will be able to:\
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- Understand the fundamental principles of effective debugging and common types of software errors.\ \
- Master various debugging tools and techniques across different programming languages and integrated development environments (IDEs).\ \
- Develop a systematic approach to problem identification, reproduction, and resolution.\ \
- Effectively utilize logging, print statements, and assertion techniques for diagnostic purposes.\ \
- Apply advanced debugging strategies, including stepping, breakpoints, and memory inspection.\ \
- Debug complex scenarios involving multithreading, network communication, and third-party libraries.\ \
- Implement robust testing methodologies to prevent and catch bugs early in the development cycle.\ \
- Collaborate effectively in debugging efforts and document solutions for future reference.\ \
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Necessary Materials\
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- A computer with a stable internet connection.\ \
- A modern web browser.\ \
- A chosen Integrated Development Environment (IDE) such as VS Code, PyCharm, IntelliJ IDEA, or Eclipse.\ \
- Installations of Python 3, Node.js, Java Development Kit (JDK), and a C++ compiler (e.g., GCC or Clang).\ \
- Version control system (Git) and a GitHub account.\ \
- Optional: Access to a virtual machine or containerization tool (e.g., Docker) for isolated testing environments.\ \
Course Content: 14 Weekly Lessons
Week 1: Introduction to Debugging and Error Types
Lesson Title: The Debugger’s Mindset: Understanding Errors
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Learning Objectives:\
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- Define debugging and explain its importance in software development.\ \
- Differentiate between common types of errors: syntax, runtime, and logical errors.\ \
- Identify the typical stages of the debugging process.\ \
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Key Vocabulary:\
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- \Debugging:\ The process of identifying, analyzing, and removing errors or bugs from computer programs.\ \
- \Bug:\ An error, flaw, or fault in a computer program that causes it to produce an incorrect or unexpected result, or to behave in unintended ways.\ \
- \Syntax Error:\ An error in the source code of a program that violates the grammatical rules of the programming language.\ \
- \Runtime Error:\ An error that occurs while the program is running, often due to invalid operations or unexpected conditions.\ \
- \Logical Error:\ An error in the program’s logic that causes it to produce incorrect output, even if it runs without crashing.\ \
- \Stack Trace:\ A report of the active stack frames at a certain point in time during the execution of a program, indicating the sequence of function calls that led to the current state.\ \
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Full Written Content:\
\Welcome to the fascinating world of debugging\! Debugging is not just about fixing code; it’s about understanding how your code behaves, anticipating potential pitfalls, and developing a systematic approach to problem-solving. Every programmer, from novice to expert, spends a significant amount of time debugging. Mastering this skill will not only make you a more efficient coder but also a more confident problem-solver.\
\At its core, debugging is the process of finding and fixing errors in your software. These errors, often called “bugs,” can manifest in various ways, from a program crashing unexpectedly to producing incorrect results. Our goal in this course is to equip you with the knowledge and tools to effectively identify, diagnose, and resolve these issues.\
\Let’s begin by understanding the fundamental types of errors you’ll encounter:\
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- \Syntax Errors:\ These are the easiest to spot and fix, as they typically prevent your program from even compiling or interpreting. They occur when you violate the grammatical rules of the programming language. Think of it like a misspelled word or a misplaced comma in English – the sentence just doesn’t make sense to the compiler/interpreter.
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- \Example (Python):\ \
print(“Hello World”\
(missing closing parenthesis)\
\ - \Example (Java):\ \
public static void main(String\[\] args) { System.out.println(“Hello World”)\
(missing semicolon)\
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\ - \Example (Python):\ \
- \Runtime Errors:\ These errors occur when your program is actually running. The code might be syntactically correct, but something goes wrong during execution. This could be anything from trying to divide by zero to accessing a file that doesn’t exist. These errors often lead to program crashes and are usually accompanied by a “stack trace” or error message that points to where the problem occurred.
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- \Example (Python):\ \
result = 10 / 0\
(ZeroDivisionError)\
\ - \Example (Java):\ \
String s = null; System.out.println(s.length());\
(NullPointerException)\
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\ - \Example (Python):\ \
- \Logical Errors:\ These are the trickiest errors to debug because your program runs without crashing and without any explicit error messages, but it produces incorrect or unexpected output. The flaw lies in the algorithm or the thought process behind the code. The program is doing exactly what you told it to do, but what you told it to do was wrong.
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- \Example (Python):\ Calculating the average of numbers \
(a + b) / 2\
but forgetting parentheses: \a + b / 2\
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\ - \Example (Java):\ Incorrect loop condition leading to an off-by-one error.\ \
\ - \Example (Python):\ Calculating the average of numbers \
The debugging process typically involves these stages:\
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- \Reproduce the Bug:\ Can you make the bug happen consistently? This is crucial for isolating the problem.\ \
- \Locate the Bug:\ Where in the code is the error occurring? Using error messages and systematic inspection helps.\ \
- \Understand the Bug:\ Why is it happening? What’s the underlying cause?\ \
- \Fix the Bug:\ Implement the necessary code changes.\ \
- \Verify the Fix:\ Ensure the bug is resolved and no new bugs have been introduced.\ \
- \Prevent Regression:\ Implement tests to ensure the bug doesn’t reappear in the future.\ \
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Practical Hands-on Example:\
\Exercise 1.1: Identifying Error Types\
\For each of the following code snippets, identify the type of error (syntax, runtime, or logical) and briefly explain why. Try running them in your chosen programming language to observe the behavior.\
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- \Python:\
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def calculate\_area(length, width): return length \* width``` # Calling the function with missing argument area = calculate_area(5) print(area)
“`\
\ - \Java:\
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\public class ErrorExample { public static void main(String\[\] args) { int\[\] numbers = {1, 2, 3}; System.out.println(numbers); // Accessing out of bounds } } \
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\ - \Python:\
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def convert\_fahrenheit\_to\_celsius(fahrenheit): \# Incorrect conversion formula celsius = (fahrenheit - 32) \* 5 / 9 + 5 return celsius``` temp_f = 68 temp_c = convert_fahrenheit_to_celsius(temp_f) print(f"{temp_f}°F is {temp_c}°C") # Expected: 20°C
```\
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Solution to Exercise 1.1 (for self-checking after attempting):\
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- \Python Snippet 1:\
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- \Error Type:\ Runtime Error (specifically,