Udacity – Design of Computer Programs
English | .FLV | Audio: aac, 44100 Hz, stereo | Video: h264, yuv420p, 854×480, 29.97 fps | 2.74GB
Understanding how to approach programming problems and devise a solution is an essential skill for any Python developer. In this course, youll learn new concepts, patterns, and methods that will expand your coding abilities from programming expert, Peter Norvig.
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!
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.
What Will I Learn
Lesson 1: Winning Poker Hands
Steps of the design process; Developing for clarity and generality; Arguments for program correctness; 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; Interpreting the language; Defining the set of strings matched by a regular expression;
Lesson 4: Dealing with complexity through search
Search: finding your way with a flashlight or boat; pouring water. Analyzing the efficiency of an algorithm; Recurrence relations; 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; Word games.
Lesson 7: Conclusion