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This course is part of Foundations of Data Structures and Algorithms Specialization
Instructor: Sriram Sankaranarayanan
3,035 already enrolled
Included with
(25 reviews)
Recommended experience
Advanced level
Completion of previous courses. Calculus, probability theory: distributions, expectations and moments. Some programming experience with Python.
(25 reviews)
Recommended experience
Advanced level
Completion of previous courses. Calculus, probability theory: distributions, expectations and moments. Some programming experience with Python.
Explore how basic number-theoretic concepts are used to build the RSA crypto-system.
Examine the foundations of quantum computation and its basic building blocks.
Explore how quantum computers can be used to break the RSA cryptosystem.
Explore the differences between classical and quantum algorithms.
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Introduces number-theory based cryptography, basics of quantum algorithms and advanced data-structures.
This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
This module covers a brief recap of elementary number theory, GCD, Euclid's algorithm, Bezout coefficients and presents the RSA public key cryptosystem. It then shows how the security of RSA relies on the supposed hardness of the factoring problem for numbers that are semi-primes
5 videos3 readings4 assignments1 programming assignment2 ungraded labs
This module covers the basics of quantum computing with an introduction to qubits, the concept of a superposition, the effect of measuring a qubit, elementary quantum gates, direct/tensor products, entanglements, quantum parallelism and ends with a presentation of Grover's search algorithm. We will have a brief introduction to IBM qiskit package for exploring quantum circuits.
8 videos5 assignments1 programming assignment3 ungraded labs
We will describe Shor's algorithm and as part of Shor's algorithm show how Quantum Fourier Transform (a very useful operation for quantum systems) is computed. We will show how the power of quantum parallelism combines with the divide-and-conquer paradigm for algorithm design to yield exponential speedups for computing Quantum Fourier Transforms.
7 videos1 reading2 assignments1 programming assignment2 ungraded labs
We will learn two important and interesting data structures to round off this course. The first data structure will be the widely used B-Tree data structure which is used in indexing and storing large amounts of data on a disk. Next, we will study algorithms on strings esp. string search algorithm. We will study the suffix trie data structure: a very useful data structure for fast searching over strings.
12 videos1 programming assignment2 ungraded labs
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
CU Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
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Reviewed on Aug 11, 2024
Great specialization, as close to a real university course series as possible in this online setting.
Reviewed on May 23, 2024
This is a highly valuable course for learning the basics of quantum algorithms. The difficulty adjustments of programming tasks, which require serious consideration to pass, are also exquisite.
Reviewed on Nov 23, 2024
Amazing teaching, well made tasks and assessments. However, some computing task takes quite a while, a lot of code to familiarize with before you can solve the problems.
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