Approx. 2 months
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.
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!
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.
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.
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.
Defining the language of regular expressions; Interpreting the language;
Defining the set of strings matched by a regular expression;
Search: finding your way with a flashlight or boat; pouring water. Analyzing the efficiency of an algorithm; Recurrence relations; Matching data types with algorithms.
Probability: the game of Pig; Maximizing expected utility to optimize strategy.
Managing complexity; Large sets of words; Appropriate data structures; Word games.
Interviews and Practice Exam
Peter Norvig is Director of Research at Google Inc. He is also a Fellow of the American Association for Artificial Intelligence and the Association for Computing Machinery. Norvig is co-author of the popular textbook Artificial Intelligence: A Modern Approach. Prior to joining Google he was the head of the Computation Sciences Division at NASA Ames Research Center.
This class is self paced. You can begin whenever you like and then follow your own pace. It’s a good idea to set goals for yourself to make sure you stick with the course.
This class will always be available!
Take a look at the “Class Summary,” “What Should I Know,” and “What Will I Learn” sections above. If you want to know more, just enroll in the course and start exploring.
Yes! The point is for you to learn what YOU need (or want) to learn. If you already know something, feel free to skip ahead. If you ever find that you’re confused, you can always go back and watch something that you skipped.
It’s completely free! If you’re feeling generous, we would love to have you contribute your thoughts, questions, and answers to the course discussion forum.
Collaboration is a great way to learn. You should do it! The key is to use collaboration as a way to enhance learning, not as a way of sharing answers without understanding them.
Udacity classes are a little different from traditional courses. We intersperse our video segments with interactive questions. There are many reasons for including these questions: to get you thinking, to check your understanding, for fun, etc… But really, they are there to help you learn. They are NOT there to evaluate your intelligence, so try not to let them stress you out.
Learn actively! You will retain more of what you learn if you take notes, draw diagrams, make notecards, and actively try to make sense of the material.