This course provides a challenging introduction to the central ideas of theoretical computer science. Beginning in antiquity, it will progress through finite automata, circuits and decision trees, Turing machines and computability and the P versus NP problem. It examines the classes of problems that can and cannot be solved by machines. It tries to explain the key differences between computational models that affect their power.
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
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Course Credit: MIT
|Logic circuits and gates||00:12:00|
|Deterministic finite automata (DFAs) and nondeterministic finite automata (NFAs)||03:00:00|
|NFAs and regular expressions||00:10:00|
|Non-regular languages and the pumping lemma||02:00:00|
|Undecidable problems and Post correspondence problem (PCP)||03:00:00|
|Mapping reducibility and Rice’s theorem||00:10:00|
|Self-reference and the recursion theorem||00:20:00|
|Introduction to cryptography||03:00:00|
|Pseudorandom generators and one-way functions||01:30:00|
|More complexity theory||00:20:00|
|Probabilistic Turing machines and complexity classes||01:30:00|
|Trapdoor one-way functions and zero-knowledge proofs||03:00:00|
|Probably approximately correct (PAC) learning||01:30:00|
|More PAC learning||00:20:00|
|Introduction to quantum||00:10:00|
|Quantum mechanics and BQP||00:15:00|
|Submit Your Assignment||00:00:00|
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