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Mathematics for Computer Science (2018) [pdf]

courses.csail.mit.edu

11–20 of 69 posts

Re: Mathematics for Computer Science (2018) [pdf]

#11

I always see lists of like 100 MUST HAVE books for Computer Science. Is there like a top 5 must have books for Computer Science?

I got no particular book recommendation, but this book seems more about the numbers than relations -- maybe my PDF search is broken, but both 'type theory' and 'category theory' return 0 results. I would recommend to also look into those if you are interested in mathematics of computer science.

Re: Mathematics for Computer Science (2018) [pdf]

#14

I always see lists of like 100 MUST HAVE books for Computer Science. Is there like a top 5 must have books for Computer Science?

Concrete Abstraction and next, SICP, both for Scheme. If you do these, you already understood most of the grounds of CS; learning another language will be a piece of cake.

Re: Mathematics for Computer Science (2018) [pdf]

#15

Context: Thomson Leighton is the founder of Akamai Lectures here: https://www.youtube.com/playlist?list=PLB7540DEDD482705B One of the set of lectures on the internet I loved the most.

akamai? Could they be more concerned with the various script kiddies and scanners using akamai (often linode) IPv4 ranges?

Please?

Re: Mathematics for Computer Science (2018) [pdf]

#16

I always see lists of like 100 MUST HAVE books for Computer Science. Is there like a top 5 must have books for Computer Science?

It's more useful to practice programming through projects. Then once you feel you're missing the knowledge for a particular problem you're trying to solve, read up about that one.

Re: Mathematics for Computer Science (2018) [pdf]

#17

I always see lists of like 100 MUST HAVE books for Computer Science. Is there like a top 5 must have books for Computer Science?

Top 5 will never cover the field. Here's my top 10

* Brookshear and Brylow - Computer Science - An Overview

* Forta - Teach yourself SQL in 10 minutes

* Stallings - Computer Organization and Architecture

* Stallings - Operating Systems - Internals and Design Principles

* CLRS

* Kurose, Ross - Computer Networking - A Top Down Approach

* Sipser - Introduction to The Theory of Computation

* Stallings, Brown - Computer Security - Principles and Practice

* Aumasson - Serious Cryptography

* Russell, Norvig - Artificial Intelligence - A Modern Approach

And even this fails to cover programming languages. Python is the lingua franca of the field. Most past recommended books are getting outdated, but perhaps Matthes' Python Crash Course 3rd edition.

Re: Mathematics for Computer Science (2018) [pdf]

#20

I've not worked through a large book of problems like this before. At risk of sounding silly, are there solutions to the sample problems? I've given a few a go but can't find the answers anywhere to check my work.

It is not a silly question at all, a companion book with working and answers makes perfect sense. Universities and academic institutions who create things like this were often very wary as they often reuse these questions in classes and alternate the same questions over a span of 5 years. As realistically to test a small module of a subject the actual amount of viable questions in that question pool is rather few.
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