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Course Description
Unlock the Power of Computation
Ever wondered how computers perform complex tasks effortlessly? This comprehensive course on computation takes you from the basics of how computers work to the depths of computational theory. You'll gain practical skills and foundational knowledge that will empower you to understand and create efficient programs.
Explore Computer Fundamentals
Start with the core concepts of computing. Learn how computers function, the essence of binary math, and the history of programming languages. Discover the differences between functional, procedural, and low-level programming languages, and understand how programs are translated for computers through interpreted and compiled languages.
Master Algorithms and Efficiency
Delve into the world of algorithms, where you'll explore their design and application. Understand the significance of algorithm efficiency through Big-O Notation, and learn to assess time and space complexity. Practical lessons will enable you to solve real-world problems, such as sorting and searching in an online shopping context, using Python.
Discover Computability and Beyond
Expand your knowledge to the theoretical aspects of computation. Learn about automata, Turing machines, and the limits of what computers can solve. Gain insights into computational complexity, including P, NP, NP-Complete, and NP-Hard problems. Finally, explore the real-world implications of these concepts in fields like cryptography and machine learning, and get a glimpse into the future with Quantum Computing.
What You'll Achieve
By the end of this course, you'll have a solid understanding of computer operations, programming languages, and algorithms. You'll be equipped to evaluate algorithm efficiency and understand the theoretical limits of computation. This course will provide you with the skills to solve practical problems efficiently and appreciate the ongoing advancements in computational theory.
Join us to unlock the power of computation and transform your understanding of how computers work!
Prerequisites
Curriculum
Course outline
1
The Start : What is a Computer?
This chapter introduces the fundamental concepts of how a computer works. From the basics of binary math and the essential components like the CPU and memory to the evolution of programming languages, learners will explore how computers process instructions and the difference between interpreted and compiled languages.
- Introduction to a Computer: Architecture & Execution50 XP
- Convert binary to decimal50 XP
- Binary to decimal position50 XP
- Connecting Programs to Computers50 XP
- Compiled vs Interpreted Languages100 XP
- Why is binary important?50 XP
- History of programming50 XP
- Classify what is Functional, Procedural, and Low Level Programming100 XP
- Evolution of Programming100 XP
2
Dig Deeper: Instructing a computer efficiently
In this chapter, learners dive into algorithms—the instructions that computers follow to solve problems. Topics include an overview of algorithm types, the importance of time and space complexity, and hands-on practice with real-world examples of sorting and searching. The chapter also covers how to assess algorithm efficiency using Big-O Notation.
3
Expanding Out: What computers can & can't do
This chapter explores the limits of what computers can compute. Learners will study formal models like automata and Turing machines, learn about computational complexity (including P vs NP), and discover real-world applications in fields like cryptography, machine learning, and quantum computing.
Concepts in Computer Science
Course
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