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/sci/ - Science & Math


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10467766 No.10467766 [Reply] [Original]

Hi poor dumb anon here. I know some of you guys go to top universities. Do you mind sharing your course sequences/course outlines for mathematics, CS, EE, and computer engineering subjects? I would like to self study and it'd be nice to follow some guide.

>> No.10467770
File: 1.37 MB, 1140x4777, official mg curriculum.png [View same] [iqdb] [saucenao] [google]
10467770

>Do you mind sharing your course sequences/course outlines for mathematics, CS, EE, and computer engineering subjects?

>> No.10467934
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10467934

>>10467766
Math major. French so sorry for bad english. I think I missed a couple subjects
>First year
Analysis 1 and 2
Algebra 1 and 2
Discrete probabilities
Algorithmic
Java
Macroeconomics
Microeconomics

>Second year
Analysis 3
Algebra 3
Differential Calculus 1
Multidimentional probabilities
Intro to finance
C
Architecture of computers
Object oriented programming in java
Numerical methods(gradient descent, gaussian elimination etc)

>Third year
Lebesgue integral
Differential calculus 2 and 3
Differential equations
Functional analysis 1
Derivatives and risk management
Graph theory
Game theory 1
Numerical methods
Statistics 1
Statistical tests
Java 3

>first year masters
Signal processing
Montecarlo methods
Linear models
Temporal series
Functional analysis 2
Martingales and markov chains
Poisson processes and actuarial methods
Brownian motion and pricing of contingent assets
Machine learning
C++
Econometrics
Actuarial science 1
Principal component analysis


I forgot some subjects from earlier years

>> No.10467935

>>10467766
MIT has OCW for CS & EE iirc

>> No.10467937

>>10467766
Check out MIT open courses

>> No.10467945
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10467945

>>10467934
>First year masters
>13 courses

>> No.10467961
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10467961

>>10467766

>> No.10467965
File: 125 KB, 1050x1657, CS comparison.png [View same] [iqdb] [saucenao] [google]
10467965

>>10467766
CS vs EE/CpE

>> No.10467972
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10467972

>>10467945
>implying I'm larping

>> No.10468003

>>10467934
>really weird ratio of maths, economics and computer science
>three years
I'm genuinely really confused.

>> No.10468029

>>10467766
Just do MIT OpenCourse shit like people said, but you are going to have a hard time trying to learn certain aspects of ECE on your own. Especially the parts that require access to hardware.

>> No.10468035

I'm not at top uni, but I can confirm that CS is absolute horrible shit.
Everything is watered down to cater to brainlets.
I didn't believe these faggots here when they said so, but jokes on me because it's true, and some of these guys here are at top unis I bet.
I'm just gonna have to take a bullet and self-study the stuff I really like like math and programming.
In retrospect, best option to become a programmer, which is what I want, would be to study Math and self study CS.
Or just self study CS.
Right now uni is literally wasting my time and holding me back, because I have to devote a lot of energy and time to get good grades and write 3000 word essays on dumb English classes or do "group projects" as if we were analysts conducting interviews or absolutely horrible useless shit like that. or other irrelevant useless classes.

>> No.10468120

>>10468035
>teamwork
>useless
haha good luck succeeding in the workplace.

>> No.10468536

EE here, top 5 school... I'll give the rundown of the EE curriculum that I've taken thus far (not including math/science courses)
Freshman:
-Basic Ckt Analysis
-Introduction to computing
Sophomore:
-C programming
-Analog Signal Processing
Junior:
-Digital Signal Processing
-Semiconductor Electronics
-Electromagnetism from a Fields/Waves Perspective (Maxwell Equations)
-Control Systems
-Digital Communications
-Electronic Music Synthesis (for fun, still interesting)
-Probability

Senior level courses are kinda dependent on what specialization you want to go into, but I'd start with these courses.

>> No.10468538

>>10467766
These are all publicly available

>> No.10468657

>>10467934
>First year Analysis
>Second year Differential Calculus
nani

>> No.10468929

>>10468003
>>10468657

NA/UK brainlets can't fathom that an undergraduate degree can be completed in 3 years in Europe instead of 4

>> No.10469083
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10469083

https://www.acm.org/binaries/content/assets/education/ce2016-final-report.pdf
There’s some generic course sequences toward the bottom.

Also pic is my math list for EE/CpE

>> No.10469183
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10469183

>>10467766
Also I might try to make a CpE guide this weekend. One thing I can’t stress enough though is that in uni you do labs, and if you want to self-study it’s mandatory that you get some hands-on experience yourself. Getting experience is much easier for programming topics because the books usually assign programming exercises themselves, and all you need to do is download the programming tools. With hardware though, you’ll need to set up an entry level home lab and shell out for some hardware. Also, some classes where labs are required are circuit analysis (the passives and op-amps) and microelectronics (diodes, op-amps, BJTs, MOSFETs, and amplifiers and filters made out of the former). The structure with these labs usually goes 1. Here’s a circuit. 2. Analyze it on paper to find some value or values, like voltage out / voltage in. 3. Simulate it with SPICE to find those values. 4. Build it and measure it with a scope and multimeter. 5. Compare results of analyzed, measured, and simulated circuits.

The textbooks might have example labs in them, if not I know the book Learning the Art of Electronics has labs, and if nothing else you could probably find some lab assignments on public university pages.

Another lab class is anything involving microcontrollers. Check out Jonathan Valvano’s books for this. They’re based on the TI’s cheap launchpad series.

Finally if you want to study Verilog or VHDL, and FPGA is indispensable. Verilog/VHDL is to an FPGA what C is to a microcontroller. Get an Altera DE0.

>> No.10469229

>>10467972
He didn't imply that.

>> No.10469673

>>10467766
>Year 1
Intro programming
Algorithms and datastructs
Calc 1 + 2
Linear algebra
Numerical analysis
Logic and proof
Functional Programming
Computer Architecture

>Year 2
Theory of computation
Graph Theory
Imperative and object oriented programming methodology
Calc 3
Computational science
Operating Systems
Concurrency Programming
Linear algebra 2.0
Combinatorics
Probability and stats


>Year 3
Advanced Algorithms
Machine Learning
Cryptology
Databases
Computer communication
Combinatoric Optimization

Alot is optional in year 3.