Intro to Computer Science

Learn key computer science concepts in this introductory Python course. You'll learn by doing, and will build your own search engine and social network.

Intro to Computer Science


ScheduleOn Demand
Duration3 months
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Intro to Computer Science

###Lesson 1: How to Get Started - Interview with Sergey Brin - Getting Started with Python - Processors - Grace Hopper - Variables - Strings and Numbers - Indexing Strings - String Theory ###Lesson 2: How to Repeat - Introducing Procedures - Sum Procedure with a Return Statement - Equality Comparisons - If Statements - Or Function - Biggest Procedure - While Loops - Print Numbers ###Lesson 2.5: How to Solve Problems - What are the Inputs - Algorithm Pseudocode - Optimizing ###Lesson 3: How to Manage Data - Nested Lists - A List of Strings - Aliasing - List Operations - List Addition and Length - How Computers Store Data - For Loops - Popping Elements - Crawl Web ### Lesson 4: Responding to Queries - Data Structures - Lookup - Building the Web Index - Latency - Bandwidth - Buckets of Bits - Protocols ### Lesson 5: How Programs Run - Measuring Speed - Spin Loop - Index Size vs. Time - Making Lookup Faster - Hash Function - Testing Hash Functions - Implementing Hash Tables - Dictionaries - Modifying the Search Engine ### Lesson 6: How to Have Infinite Power - Infinite Power - Counter - Recursive Definitions - Recursive Procedures - Palindromes - Recursive v. Iterative - Divide and Be Conquered - Ranking Web Pages ### Lesson 7: Past, Present, and the Future of Computing - Past of Computing - Computer History Museum - First Hard Drive - Search Before Computers - Present of Computing - Slac and Big Data - Open Source - Future of Computing - Text Analysis - Energy Aware Computing - Computer Security - Quantum Computing

In this introduction to computer programming course, you’ll learn and practice key computer science concepts by building your own versions of popular web applications. You’ll learn Python, a powerful, easy-to-learn, and widely used programming language, and you’ll explore computer science basics, as you build your own search engine and social network.


### When does the course begin? 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. ### How long will the course be available? This class will always be available! ### How do I know if this course is for me? 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. ### Can I skip individual videos? What about entire lessons? 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. ### What are the rules on collaboration? 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. ### Why are there so many questions? 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. ### What should I do while I’m watching the videos? 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.

Course provided by: Udacity