Undergraduates

GSSP Courses

Check out the 2025 GSSP Course Schedule

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Introductory Data Science with Python and Tableau

This course will provide participants with a foundation on what data science is and will focus on linking business questions to statistical techniques, and linking analytical results to business value. Participants will learn how to make sense of data using simple statistical techniques and how best to visualize data. Tableau for data visualisation and presentation, and Python for data analysis will be introduced in the class.

(Can be read together with DSA2362)

Decision Trees for Machine Learning and Data Analysis

Decision tree methods predict the value of a target variable by learning simple decision rules from the data. Use real data to compare the strengths and weaknesses of decision tree models with those obtained by linear and logistic regression and discriminant analysis. Possible applications include economic surveys, credit card data, vehicle crash tests data and precision medicine.

(Can be read together with DSA1361)

Forensic Toxicology and Poisons

Ever wondered how much of the coffee you consumed is subsequently metabolised? Find out using forensic toxicology! This multidisciplinary course aims to support medical and legal investigations into the cause of death, poisoning and adverse responses to substances. Drawing from foundational principles in toxicokinetics, participants will be able to: study the physicochemical properties of substances and their effect(s) on the host; and consider the toxicological outcomes of exposure due to the unique handling of substances by organ systems. The lectures will conclude with real-life applications led by practitioners.

Note:

  • Courses are taught on a graded basis and grade(s) will be reflected on your transcript.
  • Courses listed above are correct at the time of update, but may be subject to changes.
  • There may be further updates to the curriculum of the courses listed.
  • The Faculty of Science reserves the right to cancel any course, if there is insufficient enrolment to start a class.