Deep Reinforcement Learning Webinar
With Unity Technologies Nov. 20 at 10 am
Free Course
Software Debugging
Automating the Boring Tasks
Nanodegree Program
Machine Learning Engineer
by
Become a Machine Learning Engineer
Accelerate your career with the credential that fast-tracks you to job success.
About this Course
In this class you will learn how to debug programs systematically, how to automate the debugging process and build several automated debugging tools in Python.
Course Cost
Free
Timeline
Approx. 2 months
Skill Level
intermediate
Included in Product
Rich Learning Content
Interactive Quizzes
Taught by Industry Pros
Self-Paced Learning
Student Support Community
Join the Path to Greatness
This course is your first step towards a new career with the Machine Learning Engineer Program.
Free Course
Software Debugging
Enhance your skill set and boost your hirability through innovative, independent learning.
Course Leads
Andreas Zeller
Instructor
Gundega Dekena
Instructor
What You Will Learn
lesson 1
How Debuggers work
- Theory: Scientific method and its application to debugging.
- Fun fact: First bug in the history of computer science.
- Practice: Building a simple tracer.
lesson 2
Asserting Expectations
- Theory: Assertions in testing and in debugging.
- Fun fact: The most expensive bug in history.
- Practice: Improving the tracer.
lesson 3
Simplifying Failures
- Theory: Strategy of simplifying failures. Binary search. Delta debugging principle.
- Fun fact: Mozilla bugathon.
- Practice: Building a delta debugger.
lesson 4
Tracking Origins
- Theory: Cause-effect chain. Deduction. Dependencies. Slices.
- Fun fact: Sherlock Holmes and Doctor Watson.
- Practice: Improving the delta debugger.
lesson 5
Reproducing Failures
- Theory: Types of bugs (Bohr bug, Heisenbug, Mandelbug, Schrodinbug). Systematic reproduction process.
- Fun fact: Mad laptop bug.
- Practice: Building a statistic debugging tool.
lesson 6
Learning from Mistakes
- Theory: Bug database management. Classifying bugs. Bug maps. Learning from mistakes.
- Fun fact: Programmer with the most buggy code.
- Practice: Improving your tools and practicing on a real world bug database.
Prerequisites and Requirements
Basic knowledge of programming and Python at the level of Udacity CS101 or better is required. Basic understanding of Object-oriented programming is helpful.
See the Technology Requirements for using Udacity.
Why Take This Course
At the end of this course you will have a solid understanding about systematic debugging, will know how to automate debugging and will have built several functional debugging tools in Python.