Page 258 - HKSYU Prospectus 2023-24

Shue Yan University Prospectus 2023-24

DESCRIPTION OF COURSES (BSc DEGREE PROGRAMME)

ADS 100 Introduction to Data Science
1 Term; 3 Credits
This course aims to offer fundamental knowledge of data science and computer to
students. The course covers the basic knowledge of data science concepts and methodologies,
applications of data science, data management practices, computer architecture, and basic
networking and cryptographies. Upon completion of the course, students will possess a basic
understanding of data science and computer which will be further developed in other data
science related courses throughout the programme.

ADS 130 Probability and Statistics
1 Term; 3 Credits
This course explores the concepts of modern probability and statistical theory for decision
making in various fields including economics, business, and social sciences. It will help
students in learning and understanding theoretical and practical applications of probability and
statistics. The course also aims to develop skills in analysing and solving problems from
probabilistic and statistical point of view. Additionally, this course provides the basic knowledge
of these concepts that are further used in machine learning theory for prediction applications.

ADS 151 / 220 Python for Data Science
1 Term; 3 Credits
The aim of this course is to offer the essential knowledge of Python for data science
application. The course provides the basic understanding of data science workflow in Python
and the essential skills of using Python to solve data science problems. Upon completion of
the course, students will be able to apply data science skills to validate hypotheses and
disseminate thoughts.

(ADS151 is a Year-1 core course for AY2023/24 Cohort onwards, while ADS220 is a
Year-2 core course for AY2022/23 Cohort.)

ADS 210 Digital Humanities: Theories and Methods
1 Term; 3 Credits
This is an introductory course on Digital Humanities, its theory, methods, and
applications. The aim of the course is to use data to tell stories and understand the usage of
different tools related to data to reverse engineer digital humanities projects. Students will be
able to compare different tools in accordance with different digital humanities projects and
research. Students will be able to use these tools to answer questions related to digital
humanities research and projects. The course also includes a final project so students can
learn how to work collaboratively in this field.

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