Overview

The module is divided in to two parts: Vibrations and Acoustics

Topics covered in vibrations include:


	Introduction to vibrations
	Free and forced...

Overview

The module is divided in to two parts: Vibrations and Acoustics

Topics covered in vibrations include:

Introduction to vibrations
	Free and forced vibration of single degree of freedom systems
	Transient response of single degree of freedom systems
	Unforced multi degree of free systems, matrix notation
	Energy methods
	Harmonic force applied to a multi degree of freedom system
	Vibration in continuous systems
Topics covered in acoustics include:

Introduction to Acoustics
	Propagation of sound waves in solids and fluids
	Interaction between vibrating structures and sound
	Propagation through partitions
	Sound in an enclosure
	Introduction to underwater acoustics

Overview:

This module covers the process of engineering design, manufacturing methods, and the relationship between them. It builds on the introductory...

Aims: One often encounters situations in which two agents are involved in a mutual agreement. Invariably, one economic agent has more information about a...

Aims: One often encounters situations in which two agents are involved in a mutual agreement. Invariably, one economic agent has more information about a characteristic that is relevant to the agreement, than the other. In this module, we will study how agents deal with this information asymmetry by designing incentives and embedding them in contracts. We will also study the effects of information asymmetry on the prevailing market equilibrium. Applications of the theory include insurance, labour economics, industrial economics, and environmental economics.



Suitable for: Final year Economics (L100 / L101 / L102), Econ/Stats (LG13), and Math/Econ (G1L1/G1LC) students.



Prerequisites: ECON0013: Microeconomics, and ECON0019: Quantitative Economics and Econometrics or equivalents. ECON0019 can be taken in parallel.



Assumed knowledge: Students coming into the module should understand concepts of supply and demand and partial equilibrium, Pareto efficiency in an exchange economy (in an Edgeworth box), and should have basic knowledge of decision making under uncertainty, expected utility, and risk aversion. The module makes use of Lagrangians to solve constrained optimization problems with inequality constraints. If time permits, the course also discusses empirical studies, students need to be familiar with linear regression, and probit to understand these studies. Generally, students are expected to derive results formally in problem sets, students whose prior experience is focussed on verbal discussions will have to put in extra effort to get used to this.

The methods of assessment for Term 1-only affiliate students may differ from the standard assessment pattern. Please contact economics.affiliates@ucl.ac.uk for more information.