35383 Programming for Mathematical Modelling and Data Analysis6cp; 4hpw
Requisite(s): ((31267 Programming Fundamentals OR 48023 Programming Fundamentals) AND 35212 Computational Linear Algebra)
The goal of this subject is to introduce students to data structures and programming techniques that can be used to collect, manipulate, model and analyse a broad range of datasets, including datasets with missing values. It uses the Python programming language to learn how to work with numerical, string, and more complex data format, and to perform basic mathematical modelling or statistical analyses based on the data. The subject places a strong emphasis on developing a clear understanding of the common features of data structures from diverse areas, which may include nonlinear dynamics, discrete optimisation, mathematical physics, statistics, computational biology, or stochastic processes. Students develop practical skills in problem solving by working on a real-world data analysis project of their choosing, using publicly available datasets.
Spring session, City campus
Detailed subject description.
Information to assist with determining the applicable fee type can be found at Understanding fees.
- Commonwealth-supported students: view subject fees at Fees Search: Commonwealth-supported
- Postgraduate domestic fee-paying students: fees are charged according to the course enrolled in; refer to Domestic Fees Search: Postgraduate and Research
- International students: fees are charged according to the course enrolled in; refer to International Fees Search
- Subject EFTSL: 0.125