Duration:
1 Semester | Turnus of offer:
each winter semester | Credit points:
12 |
Course of studies, specific field and terms: - Master Artificial Intelligence 2023 (compulsory), Artificial Intelligence, 1st semester at the earliest
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Classes and lectures: - Parallel Computing Lab (practical course, 2 SWS)
- Parallel Computing Systems (lecture, 2 SWS)
- Quantum Computing (practical course, 2 SWS)
- Quantum Computing (lecture, 2 SWS)
| Workload: - 60 Hours e-learning
- 60 Hours work on project
- 240 Hours private studies
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Contents of teaching: | - Quantum Computing: Introduction to Quantum Computing / The Bloch Sphere / Quantum Logic Gates / Qiskit and Deutsch-Jozsa Algorithm / Silq / Grover's Search / Quantum Annealing Versus Grover's Search: Optimizing Transaction Schedules / Quantum Data Encoding Patterns / Introduction into Quantum Machine Learning: Data Encoding, Model, Measurement / Quantum Machine Learning: Optimization / Quantum Cryptography: Shor, Quantum Key Distribution / Quantum Error Correction
- Parallel Computing Systems: Motivation and limits for parallel processing / Models of parallel processing / Classification of parallel computers / multi/manycore systems / Graphics processing units (GPUs) / OpenCL / Tensor Processing / Programming environments for parallel computers / Hardware architectures / System management of manycore systems
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Qualification-goals/Competencies: - For all topics listed in the course content under the bullet points, students will be able to name the central ideas, define the relevant terms in each case, and explain how associated algorithms work using examples of applications.
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Grading through: |
Responsible for this module: Teachers: |
Literature: - M. McCool, J. Reinders, A.D. Robison: Structured Parallel Programming - Morgan Businessman, 2012
- T. Rauber, G. Rünger: Parallel Programming - Springer Publishers, 2012
- D.A. Patterson, J.L. Hennessy: Computer Organization and Design: The Hardware/Software Interface - Morgan Businessman, 2013
- D. Kaeli, P. Mistry, D. Schaa, D.P. Zhang: Heterogeneous Computing with OpenCL 2.0 - Morgan Businessman, 2015
- M.A. Nielsen, I.L. Chuang: Quantum Computation and Quantum Information - Cambridge University Press, 2010
- S. Ganguly, T. Cambier: Quantum Computing with Silq Programming - Packt Publishing, 2021
- M. Homeister: Quantum Computing verstehen: Grundlagen Anwendungen Perspektiven - Springer, 2022
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Language: |
Notes:Prerequisites for attending the module:
- None
Prerequisites for the exam:
- 50% of online quiz points, successful seminar presentation
Module exam(s):
CS4171-L1: Next-Generation AI Technology portfolio exam for a total of 100 points, divided as follows:
- 50 points for an e-test (oral or written).
- 50 points for a project presentation |
Letzte Änderung: 9.10.2023 |
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