Lecture schedule
The following table provides a brief summary of the tentative topics and a link to a PowerPoint file in pdf format. Where errors occur in the notes, updates will be posted as soon as practicable. The notes will be made available prior to lectures where-ever practicable. You will need to use Acrobat Reader to obtain this material as it will be in pdf format.
Week |
Topic |
Date |
Lecturer |
W1 |
Introduction to B5G and 6G mobile communication |
June 26th |
Dr. EUM |
W2 |
Machine Learning I: conventional machine learning |
July 3rd |
Dr. EUM |
W3 |
Machine Learning II: modern style machine learning |
July 10th |
Dr. EUM |
W4 |
Quantum mechanics I: Introduction to Quantum Mechanics |
July 17th |
Dr. EUM |
W5 |
Quantum mechanics II: Quantum Machine Learning |
July 25th |
Dr. EUM |
References
1. Michael A. Nielsen & Issac L. Chung “Quantum Computation and Quantum Information - 10th Anniversary Editition,” CAMBRIDGE University Press. (online downloadable)
2. Christopher M. Bishop “Pattern Recognition and Machine Learning,” Springer, 2011. ISBN-10: 0387310730. (online downloadable)
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