Why is there so much bluff in computer science textbooks?

  • #1
Brief-Wishbone
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Homework Statement
useless cs
Relevant Equations
useless cs
I'm reading operating system concepts the dinosaur book as a linuxadmin to understand operating system concepts, but I find most stuffs there to be bluffly written. Total garbage. I'm currently reading about file system. Do have a look at it. It feels like authors are intentionally wanting to make things more complicated in name of generalization.
 
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  • #2
I'm not sure the word "bluff" is translating well from whatever language you are familiar with. Do you mean "fluff", or "bluster", or something different? Can you say more about what you mean by that word? Thanks.

Brief-Wishbone said:
Homework Statement: useless cs
Relevant Equations: useless cs

operating system concepts the dinosaur book as a linuxadmin
Which book specifically? This one?

1694798792765.png

https://www.amazon.com/dp/1119800366/?tag=pfamazon01-20

Can you post a scan of a page that contains an example the confusing text?
 
  • #3
Brief-Wishbone said:
I'm reading operating system concepts the dinosaur book as a linuxadmin to understand operating system concepts, but I find most stuffs there to be bluffly written. Total garbage. ...
For someone who learns by "seeing and doing", that book would be a 1278-page nightmare.
 
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  • #4
Brief-Wishbone said:
Homework Statement: useless cs
Relevant Equations: useless cs
It turns out that this user is a sockpuppet of a previously banned member (who also went on rants like this). The sockpuppet has been escorted from the building, and this thread is now closed.
 
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FAQ: Why is there so much bluff in computer science textbooks?

Why do computer science textbooks contain so much theoretical content?

Computer science is a field deeply rooted in theory, which provides the foundation for understanding complex concepts and algorithms. Theoretical content helps students grasp the underlying principles that drive practical applications, ensuring they can adapt to new technologies and solve problems effectively.

Is the 'bluff' in computer science textbooks necessary for practical programming?

While some theoretical content may seem abstract or unrelated to day-to-day programming tasks, it is essential for developing a comprehensive understanding of the discipline. This knowledge enables programmers to write more efficient, robust, and scalable code, and to innovate beyond existing solutions.

How can I differentiate between essential and non-essential content in computer science textbooks?

To differentiate between essential and non-essential content, focus on the core concepts that are frequently referenced in multiple contexts, such as algorithms, data structures, and computational theory. Practical exercises, examples, and real-world applications can also help identify the most relevant material.

Why do computer science textbooks often include complex mathematical concepts?

Mathematics is integral to computer science, as it provides the tools and language for modeling, analyzing, and solving computational problems. Concepts such as discrete mathematics, probability, and linear algebra are crucial for understanding algorithms, cryptography, machine learning, and more.

How can I make the theoretical content in computer science textbooks more accessible?

To make theoretical content more accessible, try to relate abstract concepts to practical examples or real-world scenarios. Supplement your reading with online tutorials, videos, and interactive resources that provide visual and hands-on learning experiences. Collaborating with peers and seeking help from instructors can also enhance your understanding.

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