Intro to Computer Science

Course
en
English
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Source
• From www.udacity.com
Conditions
• Self-paced
• Free Access
• 12 Sequences
• Introductive Level

Course details

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

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Platform

Udacity is a for-profit educational organization founded by Sebastian Thrun, David Stavens, and Mike Sokolsky offering massive open online courses (MOOCs). According to Thrun, the origin of the name Udacity comes from the company's desire to be "audacious for you, the student". While it originally focused on offering university-style courses, it now focuses more on vocational courses for professionals.

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