This is an intermediate Microeconomics course with students largely drawn from those wishing to prepare for Honours in Economics. The course builds on the foundation of microeconomics in ECON1001 (Economics 1A) and discusses in more depth the topics of consumer behaviour, firm behaviour, game theory and decisions under uncertainty.

Lectures: Monday, Tuesday, Thursday, Friday at 13.00-14.00 for 10 weeks (teaching weeks 1-5, 7-11). Week 11 is a revision week.

These lectures will also be delivered at 12.00-13.00. In the event that attendance does not require double-teaching, the 12.00 class will be cancelled. All students, regardless of choice of lecture time, must ensure that they do not schedule other classes at 13.00.

8 x 1-hour tutorials.

Tutorials and seminars are held at various times and can be selected on MyCampus.

None.

ILO

The main aims of this course are to:

■ familiarise students with an economic thinking and model-based approach to the analysis of the markets;

■ provide a solid foundation in intermediate microeconomic analysis;

■ build familiarity with the basic tools of consumption and production theory, the operation of markets and optimisation in an economic context;

■ develop the ability to apply the economist's kit of intuition, graphical analysis, and mathematical techniques (in particular, calculus) in microeconomics applications;

■ provide a solid foundation for further, theoretical and applied, honours level Economics courses.

By the end of this course students will be able to:

1. apply economic models to explaining consumer and firm decisions-makings;

2. analyse the key concepts and theories of production and market structure;

3. demonstrate understanding of the core principles and results of game theory and uncertainty;

4. apply microeconomic tools and argumentation to the analysis of economic issues and external events;

5. clearly present and communicate microeconomic concepts, both verbally and in writing;

6. select and apply appropriate graphical, algebraic, and calculus-based techniques to solve problems;

7. collaborate effectively with others and work in teams to deliver a shared output.

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.