Experiments, observations, and numerical simulations in many areas of science nowadays produce enormous amounts of data. This rapid growth opens an era of data-centric science, which needs new paradigms addressing how data are acquired, processed, distributed, and analyzed. From a layman’s perspective, this course will cover simple but deep mathematical concepts and easy-to-learn algorithms that can solve some of the challenges posed by Artificial Intelligence and Big Data, and turn data into useful information and real-life connections.
This is available at the CUHK library.
The text/reference should not be considered a replacement for lectures. The lectures might present the material in a different way or deviate entirely. It's important to take your own notes in class.
The Chinese University of Hong Kong places very high importance on honesty in academic work submitted by students, and adopts a policy of zero tolerance on cheating and plagiarism. Any related offence will lead to disciplinary action including termination of studies at the University. For information on categories of offenses and types of penalties, students should consult the following link: , or doc.
Your final letter-grade will be determined by your point Ranking viz. your final score (out of 100 points). The total score for your course grades is distributed as follows:
| Sunday | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | |
| 7 | 8 | 9 | 10 | 11 | 12 | 13 |
| 14 | 15 | 16 | 17 | 18 | 19 | 20 |
| 21 | 22 | 23 - Final Test | 24 | 25 | 26 | 27 |
| 28 | 29 | 30 | 31 |
Once you enroll in the course, we will provide you with a username and password to access your online learning resources.