Overview of the Note-Taking System
Aman, a computer science and economics student, breaks down his approach to learning CS theory. He emphasizes two core parts of learning: understanding the subject and remembering that understanding over time. This video focuses on the first part, understanding, through a structured note-taking method.
Key Principles
- Two aspects of CS courses: Theory (high-level conceptual understanding) and Programming (applying theory to write code)
- This video focuses on theory: How to learn and understand concepts before and during lectures
- Next video preview: Memorization and retention techniques for long-term recall
The Feynman Technique in Note-Taking
Named after physicist Richard Feynman, this method is based on the idea that if you can't explain something simply, you don't understand it well enough. For a deeper dive into this powerful learning concept, see Mastering Knowledge: The Feynman Learning Technique Explained.
- Writing forces understanding: When you write notes in your own words, you must contextualize and format information legibly
- Self-check: If you can put a concept down clearly, it indicates genuine understanding
- Quote from computer scientist Nabil Qureshi: "It's harder to fool yourself that you understand something when you sit down to write about it and it comes out all disjointed and confused"
Pre-Lecture Preparation (The Day Before)
Step 1: Gather Materials
- Textbook
- Lecture notes/slides
- Any available information on the upcoming topic
Step 2: Create Preliminary Notes
- Reformat dense textbook content into bullet points for readability
- Rephrase definitions in your own words instead of copying directly
- Think critically about each line before writing it down
- Include personal struggles: Note concepts you find difficult (e.g., arrays as reference type variables)
- Use external resources when the textbook doesn't explain something clearly
Step 3: Add Examples
- Create your own examples: Don't just copy from the book; invent your own to prove understanding
- Use visualizations: For paper notes, draw diagrams or boxes to represent concepts
- Examples solidify understanding: They are easier to grasp than abstract definitions
Step 4: Record Questions
- Write down any uncertainties, misconceptions, or questions
- Bring these to the lecture to ask the professor
- This ensures you don't forget what you need clarification on
During-Lecture Strategy
Goals
- Fill knowledge gaps left from self-study
- Capture unique professor insights, their experience and examples add value beyond the textbook
- Consolidate everything into one master document
What to Add
- Novel examples or explanations from the professor
- Any aspects not covered in your pre-lecture notes
- Your own renditions plus all lecture materials in one place
Benefits of This System
-
Increased Pre-Lecture Understanding
- Forces you to slow down and think deeply
- Combats the common habit of superficial studying
- Builds a strong foundation before class
-
Comprehensive Master Document
- Contains all information from: textbook, lecture slides, lecture itself
- Consolidates multiple sources into one study aid
- Serves as an excellent resource for exam preparation
Example: Notes on Arrays
Aman shows a real example from his old notes:
- He condensed dense textbook content into bullet points
- Used his own definition of an array (not a copy-paste)
- Included examples like
int[] ato show syntax - Added personal struggles like reference type variables
- Created multiple original examples to ensure understanding
Final Thoughts
This note-taking system is designed for CS classes but works for most subjects. The key is active engagement with the material through writing, examples, and questions. The result is both deeper understanding and a consolidated study resource for later review. For a structured approach to building this habit, explore 6 Steps to Effective Note-Taking While Reading. Additionally, for those interested in a broader perspective on combining theory with practice, see Mastering Learning: Balancing Theory and Practice in Skill Acquisition. For a specific framework related to computer science education, you can review Class 11th Computer Science Complete Revision - Python, Logic Gates & Cybersecurity and CS50: Introduction to Computer Science and Programming at Harvard University.
hey guys welcome back to the channel if you're new here my name is aman i'm a student studying computer science
and economics and on this channel we explore different productivity and study techniques that you can use to achieve
your goals faster today we're going to talk about how i take notes for my computer science
classes in university along with some tips and tricks that i've picked up that you can use to
supercharge your computer science study routines timestamps are in the description below
let's go so there are two parts to learning anything the first part
is being able to understand the subject having the ability to put all the moving parts and pieces together
and really understand how everything works the second part is remembering your
understanding or what you learned down the line whether it's tomorrow the next week the next year or 10 years from
now it's all about remembering in the second part so if we apply this to a basic
mathematics example like algebra step one is actually understanding how algebra works
and step two is remembering how to do algebra for your test next week next month next year this video is going
to focus on the first part the memorization and retention techniques that i use will be explored
in a further video so at my university the computer science courses mainly focus on
two topics the first part is the theory or the higher level understanding of the subject this is
where we look at the background of how everything is used and it's a lot more conceptual
so if we were learning about arrays we probably have a diagram of an array where we talk about
how arrays work and the different methods that are associated with them it's all a very high level conceptual
point of view or if we were learning about sorting algorithms we would maybe discuss
several different algorithms and discuss why certain ones are faster or slower than
other ones in different scenarios it's more understanding rather than actually going in and writing code the second
part is the programming aspect where you actually go in and write the code
this is where you take everything you've learned in theory and apply to actual problems that you need to solve so for
my college we would get an assignment every week where we would have to use everything
we've learned over that semester and in the past and put it all together and tackle an
assignment we'd spend 5-10 hours on our own with a partner
really just putting our heads down and coding that's the programming aspect of computer science
both aspects are incredibly important to a computer science education right now we're going to talk about
theory because programming is really just practice so in this video we'll focus on
how you actually learn theory so let's talk about how i learned theory so usually
the day before or a little before a lecture on a new topic i like to crack out the textbook lecture
notes lecture slides basically any information i have before the lecture i like to open that
and take a look at that beforehand when i'm looking through those i like to take some notes
in a separate document to really put down my understanding and i'll talk about why i do this
so there's a methodology called the feynman technique this is a methodology that is named after
richard feynman he's a great physicist of our past and this method centers upon the idea
that if you can't really explain what you've learned
to another person you don't really understand it when i'm with my friends i'll often
practice by explaining to them but when you're by yourself you don't really have another person that you can
talk to and bounce ideas off of and that's where your notes come in handy when you write
something down you're forcing your mind to really contextualize it and
format it in a legible format so when you write it down it has to be readable it has to all flow and make sense
if you leave everything in your mind and you don't actually put anything down how do you know that you can explain it
to someone else that you actually understand it however if you can put it down in your
own words that's a great indicator that you have a good understanding
at least that initial understanding of the topic there's a really great quote by computer scientist nabil qureshi in
his essay about understanding where he says it's harder to fool yourself that you
understand something when you sit down to write about it and it comes out all disjointed and confused writing
forces clarity so that's why i always try to take some notes off to the side
so let's actually take some notes in real time so let's say that i have my textbook over here on the left
with a open text editor anyone would do fine on the right i basically just dug up a really old
notes document that i had when i first learned about arrays so we'll go through how i made that
why i made it like that and what each individual section means in white stare what i like to do
is i like to take this super dense textbook and reformat it kind of condense it down into my
own thoughts and make it a lot more readable in my notes document so as you can see right there there are
bullet points and it's just a lot easier to go through and understand
than the super dense textbook on the left so whenever i read a sentence or a line
that is new information i always decide to put that in a bullet and a fresh bullet if it's really
important then in that bullet point i try to rephrase it or
try to change it around i don't like to copy the exact definition down i want to sit down think about it for a
little bit and then put that new definition down so as you can see right here we have my definition of an
array i tried not to take the exact definition from the textbook on the left
i kind of just move some things around that forces you to think about it rather than just copying and pasting from the
textbook and if you're thinking about it then that's all about understanding
and the point of this exercise is to force your mind to think rather than just reading a textbook and
not really thinking about it or understanding it notice how i talked about how they are a
reference type variable at the time that was a concept i was struggling with a little bit
so even though that wasn't necessarily in the book i really thought about it and thought that was an important
concept to put down so don't let the book limit you whenever you have a question
or something you don't really understand use external resources and collect that information and then put your own
thought process down on the page so as you can see over here i have gone through this textbook and
really reformatted everything and put it down in my own words in a lot more legible
simple format what i always make sure to do is to put down some sort of examples
or case studies of whatever you're studying this is hugely important because there's a lot of evidence
that physical examples or visualizations of concepts are a lot easier to grasp or understand
faster rather than just looking at abstract definitions so
if i was doing these notes on paper i maybe would have drawn like a little box thing to represent an array so over here
i just put down a random example int with the brackets a just to represent
and kind of solidify what the syntax for declaring an array was another important aspect of picking
examples is you want to make sure that you can create your own examples
a lot of people what they'll do is they'll just go in the book and they'll just copy and paste the example in the
book and just because you can copy and paste the example doesn't mean you actually
understand it so it's a true sign that you understand something if you can create your own example for
that concept and then put that in your notes so notice how i have another example
there and another one down below i really stress the importance of examples when you're trying to learn some new
content so the third most important aspect of taking your preliminary notes is you want to make sure that you put
down any questions or misconceptions or concerns that you have over the topic
ideally you're taking these notes beforehand the day before the week before
and you haven't learned this new stuff so you're bound to have a ton of questions
and if you put those down you won't forget them and you can make sure to ask your teacher
during the lecture when that lecture comes up so that's what i do the day before the lecture i always make sure to
read through the textbook read through the lecture notes and create my own document where i'm reformatting and
trying to really understand the topics before the professor teaches me now let's talk about what i do during
the lecture so ideally during the lecture you'll have your notes open whether they're
handwritten or typed and the point of the lecture is to fill in any gaps that you had while doing
your self-learning now a lot of people complain about how professors aren't teaching you any
information that you can't learn yourself and i get this argument i mean you have
your textbook your notes you can get a pretty good understanding of the subject without the professor
however the professors have a level of experience and teaching skills that it's really impossible to get from a
textbook every professor brings their own unique outlook on a certain topic with
their own examples and own explanations so it's really important to pay attention during lecture
and put down any new or unique or novel examples or aspects of the topic that you didn't
see in your lecture notes that you didn't see in your textbook you want to consolidate
everything into this one master document if you did everything right your notes should have your own
rendition of the textbook information the lecture notes the lecture slides and the lecture itself
[Music] so now let's talk about what the goals and impact of the system is
why i decided to go with this system for my computer science classes and honestly most of my other classes
because it just works so well so this note-taking system produces two things one
it greatly increases your understanding and knowledge of a topic before a lecture
if you can force yourself to sit down and make yourself write out notes you are
making yourself slow down and really think about a topic and i find that in this day and age a
lot of us will tell ourselves oh we're studying but we don't really slow down enough and try to understand
it to a deep level the second impact of this note-taking system is that
at the end of lecture you have this beautiful master document with literally all the information from
that lecture all the information the lecture notes the textbook the slides everything is together here
and the effects of that are remarkable it's amazing to have one document where you have everything
from all the different aspects of the topic all the different places consolidated into
one place it's a great study aid so those are the methods that i use to take notes for my computer science
classes before and during lecture in the next video we'll talk about exactly what i do
after lecture to practice my notes and make sure that i actually remember what i've learned for the test
so that's all for this video but before you go i'd like to ask you to check out skillshare.com
skillshare is an online learning community kind of like netflix for online classes you can access
thousands of different classes from all different topics from creativity to video editing to design to filmmaking
anything and everything is on there i have my own class on the fundamentals of c
sharp a really new programming language so if you sign up for skillshare you can check that out
if you click the link in the description you can get a two-month free trial of skillshare
and help support the channel that's two full three months of accessing thousands of online courses and all
different topics and subjects anyway thank you guys for watching make sure to hit the like and subscribe
button and i'll see you guys later
The core principle is the Feynman Technique, which states that if you cannot explain a concept simply, you do not understand it well enough. Aman applies this by writing notes in his own words, forcing him to contextualize and format information in a way that proves genuine understanding, rather than just copying from the textbook.
First, gather your materials: textbook, lecture notes, and slides. Then, create preliminary notes by reformatting dense content into bullet points, rephrasing definitions in your own words, and thinking critically about each line. Additionally, invent your own examples to solidify understanding, note any personal struggles or difficult concepts, and record specific questions to bring to the lecture.
During the lecture, your main goal is to fill any knowledge gaps left from your pre-lecture self-study and capture the professor's unique insights, examples, and explanations. You should add novel content not covered in your notes, as well as any corrections or clarifications, and then consolidate everything—your own notes plus the lecture material—into one master document.
By actively engaging with the material through writing, examples, and questions, the system builds a stronger foundational understanding before the lecture. This deeper initial comprehension makes it easier to remember the content over time. The master document you create also becomes a comprehensive, consolidated study aid that contains all information from the textbook, slides, and lecture, making it excellent for efficient exam revision.
Yes, while Aman presents this system for computer science theory classes, the underlying principles—Feynman Technique, active engagement, pre-lecture preparation, and post-lecture consolidation—are applicable to most academic subjects. The emphasis on understanding through your own words and examples is a universal learning strategy that works for any discipline requiring conceptual knowledge.
Copying notes is a passive activity that often leads to shallow understanding. In contrast, Aman's method forces you to reformat, rephrase, and create your own examples, which requires critical thinking and mental effort. This active engagement ensures you are not fooling yourself into thinking you understand a concept when you actually don't, as poor writing will reveal gaps in your comprehension.
If you find a concept difficult, write that struggle down explicitly in your notes—for example, labeling a topic like 'arrays as reference type variables' as a struggle. Then, use external resources to find a clearer explanation than the textbook provides. Finally, write down specific questions about that concept to bring to the lecture and ask your professor.
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