Advanced Data Structures, RSA and Quantum Algorithms
Master quantum computing, cryptography, and advanced data structures while exploring RSA systems and quantum algorithms.
Master quantum computing, cryptography, and advanced data structures while exploring RSA systems and quantum algorithms.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Foundations of Data Structures and Algorithms Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
پښتو, Azərbaycanca, বাংলা, 2 more
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What you'll learn
Understand RSA cryptosystem implementation and security principles
Master quantum computing fundamentals and basic building blocks
Explore quantum algorithms for breaking RSA encryption
Analyze differences between classical and quantum algorithms
Implement advanced data structures including B-Trees and Tries
Skills you'll gain
This course includes:
12 Hours PreRecorded video
11 assignments
Access on Mobile, Desktop, Tablet
FullTime access
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There are 4 modules in this course
This advanced course combines cryptography, quantum computing, and data structures. It begins with number-theoretic concepts in RSA cryptosystems, progresses through quantum computation fundamentals, and concludes with advanced data structures like B-Trees and Tries. Students learn through theoretical concepts and practical implementations, preparing them for both classical and quantum computing challenges.
RSA Public Key Cryptography and Basics of Quantum Computing
Module 1 · 9 Hours to complete
Quantum Computing: Qubits, Quantum Gates and Grover's Search Algorithm
Module 2 · 13 Hours to complete
Quantum Computing: Phase Estimation and Shor's Algorithm
Module 3 · 12 Hours to complete
B-Trees and Tries
Module 4 · 8 Hours to complete
Fee Structure
Instructor
Professor
Sriram Sankaranarayanan is a professor of Computer Science at the University of Colorado Boulder, where he teaches a variety of courses on algorithms, theory of computation, mathematical optimization and programming languages. His research studies how computers can be used to verify and design other computer systems by combining ideas from mathematical logic, theory of computation and control theory. He uses these to analyze "safety-critical" systems ranging from autonomous vehicles to artificial pancreas devices for patients with type-1 diabetes. Sriram obtained a PhD in computer science from Stanford University. Subsequently he worked as a research staff member at NEC research labs in Princeton, NJ. He has been on the faculty at CU Boulder since 2009. Sriram has been the recipient of awards including the CAREER award from NSF, and the Provost's faculty achievement award at CU Boulder.
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4.4 course rating
15 ratings
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