Computer Science 101: Master the Theory Behind Programming
Computer Science 101: Learn Computer Science to become a better Programmer and Software Engineer.
4.66 (6403 reviews)
38 000
students
12 hours
content
Jul 2023
last update
$99.99
regular price
What you will learn
Understand the Fundamental Theories of Algorithm Analysis
Be able to Compare Various Algorithms
Understand When to use Different Data Structures and Algorithms
Understand the Fundamentals of Computer Science theory
Understand the Core Sorting Algorithms
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Comidoc Review
Our Verdict
Computer Science 101: Master the Theory Behind Programming course is a great starting point for those looking to refresh or expand their understanding of computer science fundamentals. The engaging instructor explains complex concepts in an accessible manner, supported by real-world examples and some Python code snippets. However, be prepared for an emphasis on theory over practical applications, as hands-on coding examples become less frequent later in the course. While some visual improvements could enhance the overall experience, the engaging presentation style successfully supports a comprehensive exploration of fundamental computer science concepts.
What We Liked
- Covers fundamental concepts in computer science theory, including algorithm analysis and data structures
- Explained in a clear and concise manner with real-world examples and some Python code snippets
- Engaging presentation style that effectively breaks down complex topics for beginners
- Instructor is knowledgeable, answers questions in the Q&A section, and provides helpful notes
Potential Drawbacks
- Course visuals could be improved with more organized and edited slides, instead of handwriting
- Lacks depth on some famous algorithms and graph theory
- Limited coding examples after the sorting arrays section; primarily focused on theory
- Some terms used are not mathematically correct; may require background knowledge for full understanding
Related Topics
1395136
udemy ID
15/10/2017
course created date
27/06/2019
course indexed date
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