Theory & Practice in Science (SCIE1000)
Information valid for Semester 2, 2024
Course level
Undergraduate
Faculty
Schools
Chemistry & Molec Biosciences, Historical & Philosophical Inq, Elec Engineering, Comp Science, Mathematics & Physics School, School of the Environment
Units
2
Duration
One Semester
Attendance mode
In Person
Class hours
Workshop 2 Hours/ Week
Practical 2 Hours/ Week
General contact hours 1 Hour/ Week
Summer semester only: 4W2C4P
Incompatible
SCIE1100
Assessment methods
Practical exercises, written assignments, examination
Course enquiries
Doctor Mel Robertson-Dean (Semester 1, Semester 2, Summer Semester, Regular, St Lucia, In person)
Sem 1 -- Dr Sara Davies
Sem 2 -- Dr Mel Robertson-Dean
Summer Semester -- TBC
Study Abroad
This course is pre-approved for Study Abroad and Exchange students.
Current course offerings
Course offerings | Location | Mode | Course Profile |
Semester 2, 2024 (22/07/2024 - 18/11/2024) | St Lucia | In Person | Course Profile |
Summer Semester, 2024 (25/11/2024 - 08/02/2025) | St Lucia | In Person | Course Profile |
Summer Semester, 2024 (25/11/2024 - 08/02/2025) | External | External | Course Profile |
Semester 1, 2025 (24/02/2025 - 21/06/2025) | St Lucia | In Person | Profile unavailable |
Semester 2, 2025 (28/07/2025 - 22/11/2025) | St Lucia | In Person | Profile unavailable |
Please Note: Course profiles marked as not available may still be in development.
Course description
This foundation course in science introduces students to the broad range of mathematical, analytical, conceptual and computational tools employed by scientists to develop, analyse and interpret models of scientific processes. To emphasize the importance and generality of these tools, a number of key contemporary topics in science will be studied, including climate change, population dynamics, drugs and pharmacokinetics, and epidemics. The course will demonstrate how and why mathematical models underpin modern science, and students will learn how to develop and analyse such models. The course also introduces computer programming (using the language Python) as a vital tool in modern scientific modelling. Students will be introduced to some fundamental philosophical issues in science, gaining an appreciation of some of the assumptions that underlie science and the supposed scientific method, reinforcing the importance of critical thinking, creativity and quantitative scientific skills.