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(Complete Item Description)
- Abstract:
This course provides a challenging introduction to some of the central ideas of theoretical computer science. Beginning in antiquity, the course will progress through finite automata, circuits and decision trees, Turing machines and computability, efficient algorithms and reducibility, the P versus NP problem, NP-completeness, the power of randomness, cryptography and one-way functions, computational learning theory, and quantum computing. It examines the classes of problems that can and cannot be solved by various kinds of machines. It tries to explain the key differences between computational models that affect their power.
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
- Collection:
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MIT OpenCourseWare
Remix and Share

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(Complete Item Description)
- Abstract:
This course features a rigorous introduction to modern cryptography, with an emphasis on the fundamental cryptographic primitives of public-key encryption, digital signatures, pseudo-random number generation, and basic protocols and their computational complexity requirements.
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
- Collection:
-
MIT OpenCourseWare
No Strings Attached

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(Complete Item Description)
- Abstract:
A brief explanation of calculation complexity and how the complexity of the discrete Fourier transform is order N squared.
- Subject:
- Mathematics and Statistics, Science and Technology
- Grade Level:
- Post-secondary
- Collection:
-
Connexions
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No Strings Attached

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(Complete Item Description)
- Abstract:
The DFT can be reduced from exponential time with the Fast Fourier Transform algorithm.
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
- Collection:
-
Connexions