Free Course
Design of Computer Programs
Programming Principles
Nanodegree Program
Deep Learning
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About this Course
Understanding how to approach programming problems and devise a solution is an essential skill for any Python developer. In this course, you’ll learn new concepts, patterns, and methods that will expand your coding abilities from programming expert, Peter Norvig.
Course Cost
Free
Timeline
Approx. 2 months
Skill Level
advanced
Included in Product
Rich Learning Content
Interactive Quizzes
Taught by Industry Pros
Self-Paced Learning
Student Support Community
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Free Course
Design of Computer Programs
Enhance your skill set and boost your hirability through innovative, independent learning.
Course Leads
Peter Norvig
Instructor
What You Will Learn
lesson 1
Winning Poker Hands
- Steps of the design process and developing for clarity and generality.
- Arguments for program correctness and experimentation and simulation.
- Design tradeoffs; Simplicity and Clarity. Decomposition and composability.
lesson 2
Back of the Envelope
- Back of envelope calculations: When to use brute force and when to be clever.
- The Zebra puzzle: Generator expressions, Permutations and combinations.
- Cryptarithmetic; Recursive and wishful thinking; Longest palindrome substring algorithm.
lesson 3
Regular Expressions, other languages and interpreters
- Defining the language of regular expressions and Interpreting the language.
- Defining the set of strings matched by a regular expression
- Other languages.
lesson 4
Dealing with complexity through search
- Search: finding your way with a flashlight or boat.
- Analyzing the efficiency of an algorithm.
- Recurrence relations and Matching data types with algorithms.
lesson 5
Dealing with uncertainty through probability
- Probability: the game of Pig.
- Maximizing expected utility to optimize strategy.
lesson 6
Word Games
- Managing complexity.
- Large sets of words.
- Appropriate data structures.
lesson 7
Conclusion
- Interviews and practice exam.
Prerequisites and Requirements
This course is intended for experienced Python programmers; students should be familiar with the Python syntax, as well as familiar with the following programming concepts: data structures, basic algorithms, and lambda functions.
This course is intended to challenge you. Be ready to struggle (and learn)!
See the Technology Requirements for using Udacity.
Why Take This Course
Move along the path towards becoming an expert programmer! In this class you will practice going from a problem description to a solution, using a series of assignments. During office hours segments, Peter will also share his own personal tips and tricks for approaching programming problems - and his techniques may surprise you!