AM80762 Dynamical Systems
Semester 7

The study of Dynamical Systems explores how systems evolve over time, focusing on the long-term behavior of these systems under different conditions. It provides the mathematical framework to analyze how a system's state changes as a function of time, which can model a wide range of real-world phenomena, from physical and biological processes to economics and engineering applications. Dynamical Systems  is delivered mainly through lectures backed up by tutorial sessions. The lecture includes interactive elements whereby students in groups apply principles to simple problems to ensure their involvement and so gain understanding.  Handouts are used so that students can concentrate on the material of the lecture, but with gaps where students either have to fill in or make separate notes. Problem sheets will be given out to students and after time, the problems will be discussed in class.  The assignment will require the students to undertake some investigation on their own and to develop ideas and apply them.  They will also produce a report for each.

AM80761 Research Methodology for Mathematician
Semester 7

Research Methodology for Mathematicians typically covers the principles and techniques necessary for conducting mathematical research effectively. Key topics may include:

  1. Research Design: Understanding how to formulate research questions and hypotheses relevant to mathematics.

  2. Literature Review: Learning how to review existing literature and identify gaps in research.

  3. Data Collection and Analysis: Exploring methods for gathering and analyzing mathematical data, including statistical techniques when applicable.

  4. Mathematical Proofs: Emphasizing the importance of rigorous proof techniques and logical reasoning in mathematical research.

  5. Writing and Presentation: Developing skills for writing research papers, including structure, clarity, and proper citation practices, as well as presenting findings effectively.

  6. Ethics in Research: Discussing ethical considerations in mathematical research, including issues of plagiarism and data integrity.

This course aims to equip mathematicians with the skills needed to conduct independent research and contribute to the field effectively.