This course introduces students to advanced topics in microeconomic theory. The topics offered will depend on the faculty teaching the course.
On completing...

This course introduces students to advanced topics in microeconomic theory. The topics offered will depend on the faculty teaching the course.
On completing this course students should:

Understand existing models of choice and associated representation results.
	Understand existing equilibrium concepts in normal-form and dynamic games.
	Understand the major results on mechanism design.
	Understand the major results on information design.
	Understand the bounded rationality approaches to the equilibrium in static and dynamic games.
	Understand Analogy based reasoning, cursed equilibrium, limited foresight, and self-confirming equilibrium.
	Be able to apply these results.
 

Aims: This is a graduate module in macroeconomic theory. It introduces to the key building blocks of modern macroeconomic theory using recursive methods. The...

Aims: This is a graduate module in macroeconomic theory. It introduces to the key building blocks of modern macroeconomic theory using recursive methods. The module looks at both real economies and monetary economies and at economic policy as well as positive aspects of macroeconomics. Students will be solving problem sets in the tutorial classes.

Suitable for: UCL MSc Economics students, UCL MSc Data Science and Public Policy (Economics route) students.

 

BIOINFORMATICS|MACHINE LEARNING|SEQUENCE AND STRUCTURE ANALYSIS|HIGH-THROUGHPUT DATA ANALYSIS

Aims:

The overall aim of this module is to introduce machine learning students to the field of bioinformatics (computational biology) and show how machine...

Aims:

To cover the main principles of classical thermodynamics required by the chemical engineer in order to study the engineering and chemistry required to...

Aims:

To cover the main principles of classical thermodynamics required by the chemical engineer in order to study the engineering and chemistry required to design and operate processes associated with the chemical industry.

Learning Outcomes:

Upon completion of this module students should:

be able to demonstrate knowledge and understanding of the essential facts, concepts, theories and principles of thermodynamics;
	have the knowledge to apply appropriate science, engineering and mathematical tools to the analysis of problems arising in thermodynamics;
	have an understanding of the wider multidisciplinary context of the underlying theory of thermodynamics, including its applications to engineering design and application to real world problems
Synopsis:

Fundamentals and basic definitions
	First Law of Thermodynamics
	Internal energy, enthalpy and heat capacity
	Equations of state
	Second Law of Thermodynamics
	Criteria for spontaneous change and equilibrium
	Definition of reversible and irreversible work
	Thermodynamic properties of fluids
	Thermodynamics of compressors and refrigeration systems
	Gas liquefaction and power cycles
	Introduction to phase equilibrium
	Fugacity and activity
	Introduction to solution thermodynamics