Mistakes: 13:36 Dijkstra is not searching all nodes if we specifically ask for a start to goal node it cuts off after it found its way to the node but it still searches significantly more nodes than the A* algorithm with a good heuristic Thanks to all the people who listen attentively and help to correct the mistakes I know I didn’t cover every topic in computer science, even though I mentioned a full CS degree in the title. The reason for that is that in my university, the classes I mentioned in the video were all mandatory. Other subjects like AI, Data Science, Cybersecurity, Web Development, System Architecture, etc., were elective tracks that you could choose after the second year. If you’d like me to cover these topics and more, feel free to leave a comment or like the video so I know there’s demand for a second part :)
I think the biggest thing I missed in my degree was more low level stuff. But I don't know, I think I did pretty well, I skimmed the video and I still remember everything. I think what really helped was to work as a dev all day then go to class, go back home, study, sleep and repeat.
Fun to see the differences in how it taught across the world. Just started on CS this summer and we have the Introduction to Programming and Data Structures and Algorithms course at the same time (1st semester).
@@unmastered159 were I am at it isn't really split into theoretical and applied (ofc there are courses from both parts, but they don't distinguish between the courses like that)
It can even vary a lot school to school in the same country. At my school (which honestly, was not known for CS), we built a baby JVM jit compiler, but we didn't have a specific networking class. It's crazy how some things people would consider so basic can be left out of one program or another, and how deep you may go into another topic.
To people coming here who are trying to get a feel for what they are getting themselves into and are afraid of the math, please try not to worry about it. Due to life circumstances, I actually dropped out of high school in the 9th grade so I technically had an 8th grade education when I enrolled in college. And I enrolled about 15 years after I dropped out. So I can assure you I forgot nearly 100% of all math I was taught in public school. I started from the lowest remedial math class and built-up, semester by semester, until I was in Calculus III. And let me tell you, I did well in all of my math classes, too. I made all A's in them. In some ways I think it was actually an advantage that I started from the beginning. I didn't have a summer of brain rot (or even more if the incoming high school grads didn't take a math course their last semester of high school) like most everyone else. If you are worried about the math, take a remedial math class, and don't ever take a semester off from math. I always considered myself to not be a math person but I did great. It really feels like one of those "if I could do it, anyone could do it" things.
@@Vuden13 I want to say the fall semester of my junior year? Somewhere around there. But in most programs, you don't have much further to go once you hit calculus
It is also important to mention that computer science degrees might differ from university to university. At RWTH Aachen in Germany, we also have a mandatory data science & machine learning course as well as a mathematical logic course which goes beyond automata theory and complexity theory. And there are also many courses to choose from.
Amazing video ❤️ Would just empathise the importance of statistics in computer science. Probability theory is used a lot in machine learning! Additionally, partial differential equations (from calculus) are the basis of gradient descent (one of the most known algorithms for optimisation). I know you had limited time to make this video, so I understand you could not cover everything :D Nonetheless, great video! You just earned a sub and I’ll be waiting for a part 2 ;)
@@ai_outline Lets see if i do a part 2 but im gonna launch a what undergrads might struggle with series and try to explain it better. And why i didnt cover AI was because in my university AI is not mandatory to learn its like a direction you choose. But good to know that other universities appearently have it as mandatory class.
good vid, but P is a subset of NP as any polytime deterministic turing machine can trivially be viewed as a polytime non-deterministic turing machine with a single branch. Alternatively, any problem decided in polytime can be verified in polytime.
Man 🎉 👏 thanks for this video you're explained all the major core subjects of cs and cse beautifully and simple manner looking forward more videos from you especially DSA from scratch tutorials ❤ all the best you got new subscriber and frnd from india 🤞
It's the almost the same, just a couple classes difference, I think it has some more software design classes instead of some of the computer engineering stuff
@@MrAlgorithm123 Since you're talking about degrees, the easiest way would be to take a look at SE curricula and compare it to that of CS. But yeah, there'd be a lot of redundancy there after this video.
I really like these types of videos, and yours definitely scratched that itch of mine. Excellent work! By the way, I see that you're a CS major. What field are you planning to get into exactly? I'm considering cybersecurity but I'm open to other suggestions, so it'd be really great if you made content briefly touching on each field within CS for us undirected viewers.
I will definitely create a video about the popular cs routes one might go and create funny videos with animations like this about these fields. But i will also do a lot of videos who gonna explain the basic stuff of cs where everyone struggles and im also gonna launch a full series of Algorithms and Data structures in details. About myself im a Cs student and TA who is specializing in AI but also have passion about theoretical computer science. And what field you gonna join is really up to you just find something that is fun to you and you’re passionate about.
@@MrAlgorithm123 I really love the theoretical aspects of computer science as well, especially low-level programming and theoretical problems, like the P ?= NP one that you elaborated on in the video. I guess we're both on the same boat lol
For anyone learning language and automata theory - have fun with pumping lemma! It can be extremely abstract and hard at first, but with a good amount of practice actually becomes fairly easy. That is, if your professor doesn’t give a ridiculous proof to do with it. Shoutout to professor Feng at ASU for crushing us all on the CS355 final 😂
CS have changed the fundamental definiton of math , if i dont wrong . about logic operation , it already a basic math (+,-, x , /) but the result belong to the scale of number .recusive sometime it is a sum(gamma) ,sometime general formula ,programming language take inspiration from bilinguage claim in non-native education . graph theory also a abstraction , in physic people also applied it for elementary particle . programming have limitation , look the algorithm again , as my experience , almost optimation program also have one of these : " loop , operation , condition if -else , switch " lol the difference between a optimation program and other are orgnization and mangement . why ?because programming language is abstract object of OS kernel so if the complier cant go further , it always have a limit that every fucking theory must follow or debug will be raising , do not trap into a fancy depiction whereas math symbol is fastest way to archive the algorthim ( it called computation subject) not abstract object in CS topic . abstract object only helpfull when demonstration or reasearch or professor not in application or industry field why so manny definition when i could use only pure math for anything yeah it s the whole point . i saw a lot of major using a same way to talk about thier abstract object built on fundamental .it could be breakdown to math nothing new. modern education have been splited a lot of fundamental as AP certificate for what ? intergral topic already a classical requirement for a noble student if they want to dive into science .
Dude I am doing 3 quarters of this in the first year of uni plus more (like data science, and a small introduction to robotics). There is such a big difference to how CS is thought around the globe
Actually its quite normal that your doing all of this already in year 1. I just covered like the basic classes everyone needs to attend. If i would really cover every branch that people can choose like AI, Cybersecurity, Networks(deeper understanding), Web development, Data Science, etc. This video would have been 2 hours long.
its all about the student, but I'm curious, what other classes do you get? I felt like a lot of the other classes were getting a bit more in depth with the subjects
Yeah correct i only considered dijkstra in his simplest form but like i stated in my video we were talking specifically about a path from start to goal im gonna make a pin comment for the mistakes.
I'm getting into computer technology and physics for my associate's degree and transfer my credits to MIT, uc Berkeley, Harvard, nyu and Caltech university for my bachelor's degree in astrophysics and elec.engineering with the gi bill or yellow ribbon program with the military and obtain a master's degree in biochemistry, computer science and economics 3x masters wish me luck
2:29 Well, they are actually easy. But it needs simplicity to explain and more practice the first one teachers don't have it. The second one you won't do it.
@ that’s very good, being familiar with programming will make a massive difference in your college experience. If you’re interested in computer science I’ll all give you another piece of advice. In college you’ll have some extremely interesting subjects, but you can start looking at them and playing with them in your free time in high school. Any of the subjects you see in this video and more you can find information about online. A cool place to start is making different data structures from scratch. Try making linked lists and double linked lists. Something really interesting is how to represent a binary tree as a list. Best of luck in your computer science journey and if you have any questions feel free to ask 😊
I understand and can demonstrate all of these topics, yet i still cannot get hired, i don't even get interviewed, how do i use this knowledge to my advantage to secure a career?
To have the skillset and how to market oneself in the job market are two different things imo. But what i would do is just ask friends for referral or try to go to as many tech events and connect yourself with the people there and then try to get a job through them.
And yet this is still barely scratching the surface, computer science is sooo vast. Also you skipped AI/ML which I guess would fall into applied computer science. Good job though!
You are right there is so much more but i wanted to cover the topics everyone probably needs to attend. For example in my uni ML is a direction you choose by urself and is not mandatory for everyone.
No information theory? Compression? CPU architecture? PC architecture? Computer graphics? Integrated systems? Physics? Databases? Software engineering? Artificial intelligence? You skipped 90% of computer science degree
It differs widely from university to university what courses are lectured. But I'd say is, that the video talks about topics that are addressed widely within many CS degrees.
You would be suprised how much high school math is gonna get brought up in cs, but i can definitely tell you that as soon as the proves gets involved in it its not that high school mathematics anymore.
@ I am literally a senior SDE man with a bachelor’s in computer science. The only thing that’s specifically high order mathematics in the video or in general is Taylor Series and Fourier Transform. Leibniz theorem and LaPlace transform. Rest is pretty just continued from high school
What even is engineering mathematics? There’s lots of mathematics in computer science, there’s no denying it. If you do any slightly more advanced CS course you’ll find lots of mathematics, from probability theory to advanced linear algebra. Now tell me how is that even HS math? There’s literal subfields of Computer science that use calculus besides integrals. For instance you use partial differential equations in gradient descent and several optimisation algorithms.
@ I’m from India, and in our engineering syllabus we have mathematics divided into four parts. Each one is called, rather intuitively “Engineering Mathematics 1-4”. I said that it’s high school mathematics because again, except for Taylor Series, all of that is taught to us in the final two years of our school (Grade 11-12) in Calculus. We’re introduced to Discrete Mathematics if you have computer science in these two grades as well. We have Probability theorem in engineering mathematics-4, which is essentially the fourth semester of your engineering. I hope I could explain my end to you, please feel free to ask more questions I would love to discuss and learn as well.
@@dh00mk3tu bruh shut the fuck please respectfully 😐 i'm also from india doing computer science engineering there's is no need to boast your stuffs by saying in india it's high school maths blah blah. Yeah high school maths continuation is comes in bachelor bsc cs or btech /BE cse but once you going into masters and advanced research side you'll get to see advance algebra , computational theory , calculus, even physics... For God sake please stop boasting or always debating to some westerners
Mistakes:
13:36 Dijkstra is not searching all nodes if we specifically ask for a start to goal node it cuts off after it found its way to the node but it still searches significantly more nodes than the A* algorithm with a good heuristic
Thanks to all the people who listen attentively and help to correct the mistakes
I know I didn’t cover every topic in computer science, even though I mentioned a full CS degree in the title. The reason for that is that in my university, the classes I mentioned in the video were all mandatory. Other subjects like AI, Data Science, Cybersecurity, Web Development, System Architecture, etc., were elective tracks that you could choose after the second year. If you’d like me to cover these topics and more, feel free to leave a comment or like the video so I know there’s demand for a second part :)
It felt like watching my life flash before my eyes.
I think the biggest thing I missed in my degree was more low level stuff. But I don't know, I think I did pretty well, I skimmed the video and I still remember everything. I think what really helped was to work as a dev all day then go to class, go back home, study, sleep and repeat.
Probability, AI, caching, and more systems stuff were definitely missing, like OS. But that’s a bit more applied. great video!!
Agreed, there were some stuff missing but not too, too much stuff
Databases were not discussed here other than that very insightful. Thanks.
It’s about the lore, money is just a great friend
Fun to see the differences in how it taught across the world. Just started on CS this summer and we have the Introduction to Programming and Data Structures and Algorithms course at the same time (1st semester).
Well thats sounds pretty hard to me haha
Absolutely. Also how each University structure it their own way.
At my university Algorithms and data structures is part of the theoratical cs part.
@@unmastered159 were I am at it isn't really split into theoretical and applied (ofc there are courses from both parts, but they don't distinguish between the courses like that)
It can even vary a lot school to school in the same country. At my school (which honestly, was not known for CS), we built a baby JVM jit compiler, but we didn't have a specific networking class. It's crazy how some things people would consider so basic can be left out of one program or another, and how deep you may go into another topic.
0:23 bro is not joking add hair fall to the list
To people coming here who are trying to get a feel for what they are getting themselves into and are afraid of the math, please try not to worry about it. Due to life circumstances, I actually dropped out of high school in the 9th grade so I technically had an 8th grade education when I enrolled in college. And I enrolled about 15 years after I dropped out. So I can assure you I forgot nearly 100% of all math I was taught in public school. I started from the lowest remedial math class and built-up, semester by semester, until I was in Calculus III. And let me tell you, I did well in all of my math classes, too. I made all A's in them. In some ways I think it was actually an advantage that I started from the beginning. I didn't have a summer of brain rot (or even more if the incoming high school grads didn't take a math course their last semester of high school) like most everyone else. If you are worried about the math, take a remedial math class, and don't ever take a semester off from math. I always considered myself to not be a math person but I did great. It really feels like one of those "if I could do it, anyone could do it" things.
How long did it take u to get to calc
@@Vuden13 I want to say the fall semester of my junior year? Somewhere around there. But in most programs, you don't have much further to go once you hit calculus
It was a worth watching, knew a few concepts, felt good knowing that's all I have to study in CS, got a bit clarity of subjects. Thank You!!
It is also important to mention that computer science degrees might differ from university to university. At RWTH Aachen in Germany, we also have a mandatory data science & machine learning course as well as a mathematical logic course which goes beyond automata theory and complexity theory. And there are also many courses to choose from.
Amazing video ❤️ Would just empathise the importance of statistics in computer science. Probability theory is used a lot in machine learning! Additionally, partial differential equations (from calculus) are the basis of gradient descent (one of the most known algorithms for optimisation). I know you had limited time to make this video, so I understand you could not cover everything :D
Nonetheless, great video! You just earned a sub and I’ll be waiting for a part 2 ;)
Oh and btw an emphasis on artificial intelligence because it is also covered in all computer science majors :p
@@ai_outline Lets see if i do a part 2 but im gonna launch a what undergrads might struggle with series and try to explain it better.
And why i didnt cover AI was because in my university AI is not mandatory to learn its like a direction you choose. But good to know that other universities appearently have it as mandatory class.
That was great, brother! Keep it up!
good vid, but P is a subset of NP as any polytime deterministic turing machine can trivially be viewed as a polytime non-deterministic turing machine with a single branch. Alternatively, any problem decided in polytime can be verified in polytime.
Yeah youre right my wording was incorrect there, the correct phrasing should have been proper subset and not subset.
Thank you so much for this video. It was very informative. Waiting for upcoming informative videos.
290th sub of this absolute future success of a channel
Very elegant explanation of comp sci, well done
Man 🎉 👏 thanks for this video you're explained all the major core subjects of cs and cse beautifully and simple manner looking forward more videos from you especially DSA from scratch tutorials ❤ all the best you got new subscriber and frnd from india 🤞
RUclips narrator of the year... Fun vid
Great content brother ! Just awsome !! the way you explained things hats off. You earned subscribed 😉
This is very helpful dude! Hope you're well thankYou!
Thanks for the video. Was awesome
3:58 Got blinded. Not funny
great work man thanks
Good content. I appreciate it. Can you make one about software engineering please ?
Well software engineering is quite a broad term i wouldnt know what i should talk about there 🧐
It's the almost the same, just a couple classes difference, I think it has some more software design classes instead of some of the computer engineering stuff
@@MrAlgorithm123 Since you're talking about degrees, the easiest way would be to take a look at SE curricula and compare it to that of CS. But yeah, there'd be a lot of redundancy there after this video.
This video does a good job covering core subjects between SE and Comp Sci. In 2nd/3rd year, that's where the course will differ.
@@MrAlgorithm123 In my university, it is a synonym for applied cs
great video❤ very informative for beginners
Gelungenes Video, Good work 👍
I really like these types of videos, and yours definitely scratched that itch of mine. Excellent work!
By the way, I see that you're a CS major. What field are you planning to get into exactly? I'm considering cybersecurity but I'm open to other suggestions, so it'd be really great if you made content briefly touching on each field within CS for us undirected viewers.
I will definitely create a video about the popular cs routes one might go and create funny videos with animations like this about these fields. But i will also do a lot of videos who gonna explain the basic stuff of cs where everyone struggles and im also gonna launch a full series of Algorithms and Data structures in details.
About myself im a Cs student and TA who is specializing in AI but also have passion about theoretical computer science.
And what field you gonna join is really up to you just find something that is fun to you and you’re passionate about.
@@MrAlgorithm123 I really love the theoretical aspects of computer science as well, especially low-level programming and theoretical problems, like the P ?= NP one that you elaborated on in the video. I guess we're both on the same boat lol
@@MrAlgorithm123do make videos about your ai journey aswell
@@arjunsarje Yeah I will create videos about AI machine learning as well but in my priority list for videos its pretty much on the bottom
Great video brother.....very Informative...
100k ain't sh** today. Now 200k, that's getting warmer...
Thanks you
P is not Equal to NP definitively
Lets hope that this is the case
Compilation and architecture
AI/ML
DBs and storage
Operating systems
I got glasses in my second year of CS, my back hurts and I have no social life.
This is outstanding
For anyone learning language and automata theory - have fun with pumping lemma! It can be extremely abstract and hard at first, but with a good amount of practice actually becomes fairly easy. That is, if your professor doesn’t give a ridiculous proof to do with it. Shoutout to professor Feng at ASU for crushing us all on the CS355 final 😂
Doing CS right now and thats actually pretty accurate.
How is it that channel doesn't have at least 1 million subscribers?
CS have changed the fundamental definiton of math , if i dont wrong . about logic operation , it already a basic math (+,-, x , /) but the result belong to the scale of number .recusive sometime it is a sum(gamma) ,sometime general formula ,programming language take inspiration from bilinguage claim in non-native education . graph theory also a abstraction , in physic people also applied it for elementary particle .
programming have limitation , look the algorithm again , as my experience , almost optimation program also have one of these : " loop , operation , condition if -else , switch " lol the difference between a optimation program and other are orgnization and mangement . why ?because programming language is abstract object of OS kernel so if the complier cant go further , it always have a limit that every fucking theory must follow or debug will be raising , do not trap into a fancy depiction whereas math symbol is fastest way to archive the algorthim ( it called computation subject) not abstract object in CS topic . abstract object only helpfull when demonstration or reasearch or professor not in application or industry field
why so manny definition when i could use only pure math for anything yeah it s the whole point . i saw a lot of major using a same way to talk about thier abstract object built on fundamental .it could be breakdown to math nothing new.
modern education have been splited a lot of fundamental as AP certificate for what ? intergral topic already a classical requirement for a noble student if they want to dive into science .
Are you starting an argument with youself?
Thanks for this, any recommended pages on big o notation. Im struggling to wrap my head around it
This is like how people go into engineering because the average pay is really high
great explanation, can you consider the possibility of doing the same for system design and network and stuff,it would really be helpful
These fields are not really my specialties but i would probably do something about networks yeah
Dude I am doing 3 quarters of this in the first year of uni plus more (like data science, and a small introduction to robotics). There is such a big difference to how CS is thought around the globe
Actually its quite normal that your doing all of this already in year 1. I just covered like the basic classes everyone needs to attend. If i would really cover every branch that people can choose like AI, Cybersecurity, Networks(deeper understanding), Web development, Data Science, etc. This video would have been 2 hours long.
its all about the student, but I'm curious, what other classes do you get? I felt like a lot of the other classes were getting a bit more in depth with the subjects
I ❤ graph
Good video!
I can just tell this finna be a banger!
P is a subset of np
Thanks for this cool video 😁, all that’s left to do is advertise it
You got a subscriber buddy
Can you do Industrial/Organizational Psychology?
dijktra has stop condition when target is reached, you only know the explores nodes paths
Yeah correct i only considered dijkstra in his simplest form but like i stated in my video we were talking specifically about a path from start to goal im gonna make a pin comment for the mistakes.
goated
What about SWE, Web Development, and Databases?
Well done
nice vid!
Very nice
Exactly how I learned it 😅
are you related to the famous painter?
Thanks but I wouldn't know where and when to apply this information.
I'm getting into computer technology and physics for my associate's degree and transfer my credits to MIT, uc Berkeley, Harvard, nyu and Caltech university for my bachelor's degree in astrophysics and elec.engineering with the gi bill or yellow ribbon program with the military and obtain a master's degree in biochemistry, computer science and economics 3x masters wish me luck
2:29 Well, they are actually easy. But it needs simplicity to explain and more practice the first one teachers don't have it. The second one you won't do it.
Also curious where you’re from since your syllabus sounds different
As computer engineering who has a 50% curriculum of computer science, yes this is accurate
Algos was the hardest thing ive ever done
nicely explained even though you skipped some things. wtf is entropy?? 😭
If y’all want to do CS make sure to get some programming experience before getting to college
you learn 2 programming language in high school in our school the first year we learn phyton second year javascript
@ that’s very good, being familiar with programming will make a massive difference in your college experience. If you’re interested in computer science I’ll all give you another piece of advice. In college you’ll have some extremely interesting subjects, but you can start looking at them and playing with them in your free time in high school. Any of the subjects you see in this video and more you can find information about online. A cool place to start is making different data structures from scratch. Try making linked lists and double linked lists. Something really interesting is how to represent a binary tree as a list. Best of luck in your computer science journey and if you have any questions feel free to ask 😊
@hadihussaini3672 Might be good to pick up c and java, these two are colleges' favourite.
Nice
390th sub
Back problems ✔️
Antisocial ✔️
Need glasses ✔️
Have I been a dev in disguise this whole time?!
I am web developer. What should i need to know
I'm going to do computer science, but what careers can i do?
Cybersecurity engineer , game developer, artificial intelligence engineer, data scientists , software engineer, programmer, etc .
careers that pays 100k+ a year
I understand and can demonstrate all of these topics, yet i still cannot get hired, i don't even get interviewed, how do i use this knowledge to my advantage to secure a career?
To have the skillset and how to market oneself in the job market are two different things imo. But what i would do is just ask friends for referral or try to go to as many tech events and connect yourself with the people there and then try to get a job through them.
Junior in CS Major here, can confirm I hate myself, praise be mergesort.
The automaton example is wrong, for example for the Word AABAB, it doesn't accept, but it should.
I drew a NFA the word stays in state one for AABA and then ends with the last letter B so the word will be accepted
@MrAlgorithm123 true
@@thiagoandrade9217But thank you paying attention happy to see people really watch my videos carefully
Can you do a video about Electrical Engineering too?
Unfortunenatly not because im a cs major and have little to zero knowledge about electrical engineering
@@MrAlgorithm123 just do another one lol
@@MrAlgorithm123 All good. I really love your video
after watching now I am a 10x dev
Solving NP completeness would be worth a *lot* more than a million dollars if you gatekeep
2:49 - this looks so RSA rn...
So how many topics does a degree cover
Well depends but i attended at least 25 or even more in my bachelor
great，but it can be more
CS Degree in the us is Like Highschool degree in europe
And yet this is still barely scratching the surface, computer science is sooo vast. Also you skipped AI/ML which I guess would fall into applied computer science. Good job though!
You are right there is so much more but i wanted to cover the topics everyone probably needs to attend. For example in my uni ML is a direction you choose by urself and is not mandatory for everyone.
You lost me at 1:03.
Why
You forgot the random biology course 😂
11:40 ??? nooooo i disagreee
Computer science degree is waste of money,time and energy.
The syllabus is 30 years old.
You are indian right
german?
Richtig
No information theory? Compression? CPU architecture? PC architecture? Computer graphics? Integrated systems? Physics? Databases? Software engineering? Artificial intelligence? You skipped 90% of computer science degree
Someone didn't watch the vid
It differs widely from university to university what courses are lectured. But I'd say is, that the video talks about topics that are addressed widely within many CS degrees.
Recommendation 😂
Deutschland
techbro here. this video is all there is to CS.. everyone who completes watching this vid should get a degree.
Set theory was the worst
I hated computer architecture
so WHY do i have to study PHYSICS 1 AND 2
To be a computer *scientist*
Just take Microsoft courses. Much more interesting and useful to employers.
I feel like not everyone is made to be a self learner a degree can help to push these people
Brother that’s high school mathematics not engineering mathematics
You would be suprised how much high school math is gonna get brought up in cs, but i can
definitely tell you that as soon as the proves gets involved in it its not that high school mathematics anymore.
@ I am literally a senior SDE man with a bachelor’s in computer science. The only thing that’s specifically high order mathematics in the video or in general is Taylor Series and Fourier Transform. Leibniz theorem and LaPlace transform. Rest is pretty just continued from high school
What even is engineering mathematics? There’s lots of mathematics in computer science, there’s no denying it. If you do any slightly more advanced CS course you’ll find lots of mathematics, from probability theory to advanced linear algebra. Now tell me how is that even HS math? There’s literal subfields of Computer science that use calculus besides integrals. For instance you use partial differential equations in gradient descent and several optimisation algorithms.
@ I’m from India, and in our engineering syllabus we have mathematics divided into four parts. Each one is called, rather intuitively “Engineering Mathematics 1-4”. I said that it’s high school mathematics because again, except for Taylor Series, all of that is taught to us in the final two years of our school (Grade 11-12) in Calculus. We’re introduced to Discrete Mathematics if you have computer science in these two grades as well. We have Probability theorem in engineering mathematics-4, which is essentially the fourth semester of your engineering. I hope I could explain my end to you, please feel free to ask more questions I would love to discuss and learn as well.
@@dh00mk3tu bruh shut the fuck please respectfully 😐 i'm also from india doing computer science engineering there's is no need to boast your stuffs by saying in india it's high school maths blah blah. Yeah high school maths continuation is comes in bachelor bsc cs or btech /BE cse but once you going into masters and advanced research side you'll get to see advance algebra , computational theory , calculus, even physics... For God sake please stop boasting or always debating to some westerners
check your typos dog
And all of that to be replaced by AI soon... =(
Aaahhhhh......... Nope
@ayush..8411 keep denying reality
@@primeditor0 Atleast It's Not Artificial 😂.