/sci/ - Science & Math

Can you solve these OXFORD interview questions ??

Can you solve these CS interview questions from Oxford? Of course not elite universities (Oxford, Cambridge, Hull) will tell you that a CS major is considered elite and that math majors go way slower than you.

Computer Science is literally the only hard science in existence.
>Homotopy Type Theory is revolutionizing mathematics as we speak
>Computation theory with the Church–Turing thesis gives valuable insight on the deepest intrinsic nature of both the Universe and consciousness
>Computational Complexity gave the first and so-far only rigorous definition of the word “difficulty”
>Machine Learning is giving the first and so far only rigorous definition for a shit-ton of informal terms such as “cat” in addition to giving morals an actual long-term use
>Game Theory revolutionized and still is very promising in both economics and social sciences
>Concurrency models literally everything in asynchronous environments including business, and already has a central role in decentralized protocols

In addition to being the pinnacle of pure sciences, Computer Science is an LEM (law, engineering, medicine) field, i.e. 15 billion times the IQ of STAM fields. Let me explain, because it’s a little too subtle for the brain of a STAMmer.
>intelligence is the ability to solve problems in a way that involves long-term planning
>with the exception of catching AIDS and Ebola, all real-life problems are easier to solve if you hold power
>because of that, thirst for power is above all a sign of intelligence
>LEM fields are the only ones giving secure access to money hence power compared to pathetic STAM fields
>therefore LEM field (which include Computer Science) lords of accomplishment are objectively smarter than STAM suicidelings

Can you solve these CS interview questions from Oxford? Of course not elite universities (Oxford, Cambridge, Hull) will tell you that a CS major is considered elite and that math majors go way slower than you.

Can u solve these Oxford CS Interview Questions?

Can you solve these CS interview questions?

CS is basically math++ and a CS major is considered élite, capable of mastering in 1 year what would take a math major 2. The world's élite universities (Oxford, Cambridge, Hull) will tell you that as a student you are the best group they have and math students go slower than you and increase your load to crazy levels.

As a CS student, you are expected to master (continuous) calculus, discrete calculus (discrete math proofs, hypercubes for parallel algorithms), optimization (machine/deep learning, compilers), category theory (functional programming), logic (up to automated proofs, i.e. including set theory), differential equations, topology (computational geometry, distributed algorithms), probability and statistics (reinforcement learning, queueing), number theory (cryptography), graph theory (almost everywhere)... There is no functional analysis needed yet, but it's heavily used for PhD degrees anyway. You need to know all this down to the level of proving theorems if you want to achieve anything in CS While pure math & physics progress slowed down, the advances in CS are fast and accelerating. CS is the major of future. Math jobs are shrinking; CS jobs will grow even more than today. The AI revolution is here, from Google search to Uber pool to auto correct to recommendation engines, mathematicians are being left in the dust by algorithms from the 90's and just sheer brute force

Here are some math questions asked for people entering Oxford, which CSlets could never hope to solve.

Oh wait, these are actually CS interview questions.

CS is basically math++ and a CS major is considered élite, capable of mastering in 1 year what would take a math major 2. The world's élite universities (Oxford, Cambridge, Hull) will tell you that as a student you are the best group they have and math students go slower than you and increase your load to crazy levels.

As a CS student, you are expected to master (continuous) calculus, discrete calculus (discrete math proofs, hypercubes for parallel algorithms), optimization (machine/deep learning, compilers), category theory (functional programming), logic (up to automated proofs, i.e. including set theory), differential equations, topology (computational geometry, distributed algorithms), probability and statistics (reinforcement learning, queueing), number theory (cryptography), graph theory (almost everywhere)... There is no functional analysis needed yet, but it's heavily used for PhD degrees anyway. You need to know all this down to the level of proving theorems if you want to achieve anything in CS While pure math & physics progress slowed down, the advances in CS are fast and accelerating. CS is the major of future. Math jobs are shrinking; CS jobs will grow even more than today. The AI revolution is here, from Google search to Uber pool to auto correct to recommendation engines, mathematicians are being left in the dust by algorithms from the 90's and just sheer brute force

Here are some math questions asked for people entering Oxford, which CSlets could never hope to solve.

Oh wait, these are actually CS interview questions.

CS is basically math++ and a CS major is considered élite, capable of mastering in 1 year what would take a math major 2. The world's élite universities (Oxford, Cambridge, Hull) will tell you that as a student you are the best group they have and math students go slower than you and increase your load to crazy levels.

As a CS student, you are expected to master (continuous) calculus, discrete calculus (discrete math proofs, hypercubes for parallel algorithms), optimization (machine/deep learning, compilers), category theory (functional programming), logic (up to automated proofs, i.e. including set theory), differential equations, topology (computational geometry, distributed algorithms), probability and statistics (reinforcement learning, queueing), number theory (cryptography), graph theory (almost everywhere)... There is no functional analysis needed yet, but it's heavily used for PhD degrees anyway. You need to know all this down to the level of proving theorems if you want to achieve anything in CS While pure math & physics progress slowed down, the advances in CS are fast and accelerating. CS is the major of future. Math jobs are shrinking; CS jobs will grow even more than today. The AI revolution is here, from Google search to Uber pool to auto correct to recommendation engines, mathematicians are being left in the dust by algorithms from the 90's and just sheer brute force.

Here are some math questions asked for people entering Oxford, which CSlets could never hope to solve.

Oh wait, these are actually CS interview questions.

CS is basically math++ and a CS major is considered élite, capable of mastering in 1 year what would take a math major 2. The world's élite universities (Oxford, Cambridge, Hull) will tell you that as a student you are the best group they have and math students go slower than you and increase your load to crazy levels.

As a CS student, you are expected to master (continuous) calculus, discrete calculus (discrete math proofs, hypercubes for parallel algorithms), optimization (machine/deep learning, compilers), category theory (functional programming), logic (up to automated proofs, i.e. including set theory), differential equations, topology (computational geometry, distributed algorithms), probability and statistics (reinforcement learning, queueing), number theory (cryptography), graph theory (almost everywhere)... There is no functional analysis needed yet, but it's heavily used for PhD degrees anyway. You need to know all this down to the level of proving theorems if you want to achieve anything in CS While pure math & physics progress slowed down, the advances in CS are fast and accelerating. CS is the major of future. Math jobs are shrinking; CS jobs will grow even more than today. The AI revolution is here, from Google search to Uber pool to auto correct to recommendation engines, mathematicians are being left in the dust by algorithms from the 90's and just sheer brute force.

Mathematics is a degree for the thinking man.

For the most part it makes a person think about why they have no money in their wallet or why they still sleep in a bed shaped like a race car in their parents home. As far as being able to think about and solve the problems in todays society… not so much.

America needs to create jobs, advance industry, increase productivity and become more competitive in the world economy.
There are hundreds of great degrees that can help us in this endeavor. Mathematics is not one of those degrees.

If you are a girl and looking for a husband then Mathematics is perhaps a good way to kill time while trolling the local bars. If you are a guy, keep in mind that one day you may actually get a date and if your date has low self esteem then she may want to marry you. I know it sounds unlikely but remember that we put a man on the moon in the 60’s so a Mathematics major getting a date is not that far fetched. My point is this. HOW ARE YOU GOING TO SUPPORT A FAMILY!! Get a real degree like Engineering or CS.

Pic related indicates some questions asked of incoming CS students at Oxford.

Here's some Oxford maths interview questions, which CSlets could not hope to solve.

Oh wait I lied these are interview questions for Oxford CS.
CS is basically math++, and a CS graduate is considered élite, capable of mastering in 1 year what math graduates do in 2 years. Deal with it!
World's élite universities (e.g. MIT, Princeton) will tell you right away that as their CS student you are considered the best group they have and that math students go slower than you, and increase your load to crazy levels As a CS student, you are expected to master (continuous) calculus, discrete calculus (discrete math proofs, hypercubes for parallel algorithms), optimization (machine/deep learning, compilers), category theory (functional programming), logic (up to automated proofs, i.e. including set theory), differential equations, topology (computational geometry, distributed algorithms), probability and statistics (reinforcement learning, queueing), number theory (cryptography), graph theory (almost everywhere)... There is no functional analysis needed yet, but it's heavily used for PhD degrees anyway. You need to know all this down to the level of proving theorems if you want to achieve anything in CS While pure math & physics progress slowed down, the advances in CS are fast and accelerating. CS is the major of future. Math jobs are shrinking; CS jobs will grow even more than today. The AI revolution is here, from Google search to Uber pool to auto correct to recommendation engines, mathematicians are being left in the dust by algorithms from the 90's and just sheer brute force.

Here's some Oxford maths interview questions, which CSlets could not hope to solve.

Oh wait I lied these are interview questions for Oxford CS.