The Art and Science of Data
數據的藝術和科學
Semester B 2024/25
Summer 2025
3 - Science and Technology
College of Computing
Department of Computer Science
3
B2, A2
40%
No
English
English
PILO 1
PILO 2
PILO 4
PILO 5
PILO 7
ATTITUDE
ABILITY

“The future belongs to the companies and people that turn data into products”. Data are related to every aspect of our life and we use data products every day. Some well-known examples include Google, Yahoo, Twitter, LinkedIn, Reddit, and Baidu. This course is to introduce interesting cases, findings, and techniques on the analysis of data.

The course will mainly focus on different aspects of data analysis from diverse disciplines such as geography, ecommerce, finance, medicine, and social networks. Students will have chances to manipulate those data, and perform simple yet interesting discoveries. Students will get familiarized with a number of computational tools; for instance, Infographics, Weka, Tanagra, R Language, Octave, and Gephi to manipulate, visualize, and understand data. Very limited programming skills are required in the course. Instead, students will be taught to think scientifically and creatively about data. The aim is for students to not only analyse data, but also develop interesting applications out of the findings.

CRN Section Term Type Capacity Day Time Building Room Instructor
  12587 12587C01 Semester B 2024/25 Lecture 140 Thu 12:00:00 - 14:50:00 YEUNG LT-17
  • Prof. MA Chen
  •   12589 12589T02 Semester B 2024/25 Tutorial 70 Tue 12:00:00 - 12:50:00 LI 3610
  • Prof. MA Chen
  •   12588 12588T01 Semester B 2024/25 Tutorial 70 Tue 13:00:00 - 13:50:00 LI 3610
  • ZHANG Yansen
  •   10139 10139C01 Summer 2025 Lecture 60 Tue 19:00:00 - 21:50:00 YEUNG LT-17
  • Dr. Helena WONG
  •   10139 10139C01 Summer 2025 Lecture 60 Fri 09:00:00 - 11:50:00 YEUNG LT-17
  • Dr. Helena WONG
  •   10140 10140T01 Summer 2025 Tutorial 15 Tue 15:00:00 - 16:50:00 YEUNG B7510
  • Dr. LEE Ka Chun Kenneth
  •   10141 10141T02 Summer 2025 Tutorial 15 Fri 13:00:00 - 14:50:00 YEUNG B7510
  • Dr. LEE Ka Chun Kenneth
  •   10142 10142T03 Summer 2025 Tutorial 15 Fri 15:00:00 - 16:50:00 YEUNG B7510
  • Dr. LEE Ka Chun Kenneth
  •   10172 10172T04 Summer 2025 Tutorial 15 Fri 17:00:00 - 18:50:00 YEUNG B7510
  • Dr. LEE Ka Chun Kenneth