What is the hardest problem in computer science?

There are only two hard problems in computer programming: cache invalidation, naming things, and off-by-one errors.

What is difficult computation?

A computation problem is solvable by mechanical application of mathematical steps, such as an algorithm. A problem is regarded as inherently difficult if its solution requires significant resources, whatever the algorithm used.

What problems Cannot be solved by computers?

Eight Problems A Computer Can’t Solve

• A computer won’t solve broad, poorly defined problems.
• A computer won’t save money by eliminating workers.
• A computer won’t clean up the errors in your manual procedures.
• A computer won’t do forecasting or trend analysis until a few years down the road.

What problems Cannot be solved by algorithms?

There are two categories of problems that an algorithm cannot solve. Undecidable Problems. These problems are the theoretically impossible to solve — by any algorithm. The halting problem is a decision problem (with a yes or no answer) that is undecidable.

What are the unsolved problems in the world?

The 7 biggest unsolved mysteries in science

• Turbulence. Turbulence isn’t a new word.
• A simulation snapshot showing turbulence in a jet.
• The Origin of Life.
• Abiogenesis.
• Protein Folding.
• DNA-binding domain.
• A Quantum Theory of Gravity.
• Riemann Hypothesis.

What are the types of computational problems?

In this course we will deal with four types of computational problems: decision prob- lems, search problems, optimization problems, and counting problems.

What is Decidability problem?

(definition) Definition: A decision problem that can be solved by an algorithm that halts on all inputs in a finite number of steps. The associated language is called a decidable language. Also known as totally decidable problem, algorithmically solvable, recursively solvable.

What are the most difficult subjects in Computer Science?

Artificial Intelligence (AI) tops the list of the most difficult subjects in Computer Science. It focuses on teaching students how to program intelligent machines. These are simply machines that are programmed to think and act like real human beings. The intelligent machine should have particular traits that are needed for solving problems.

What makes a math problem hard?

And if math isn’t your strong suit, take heart—most of these hard math problems just use very simple numbers with only basic operations—addition, subtraction, multiplication, and division. What makes them a challenge is often examining the problem to find out the “trick,” or the pattern and the way the numbers relate to one another.

What are the most lucrative fields in Computer Science?

Otherwise, AI is one of the most lucrative fields in computer science. There is no doubt that AI experts are in very high demand. 2. Theory of Computation As a computer science student, you don’t just need to use your computer to solve problems.

Why is artificial intelligence a difficult subject?

Another reason why this subject is difficult is the evolving nature of AI technology. AI is not a static field. It keeps changing as technology advances with time. The concepts that worked a few years ago may not be applied now. This means that AI students are always subjected to new concepts every time.