Dr Barbara Fasolo NAB 3.15

This course is available on the BSc in Management. This course is available as an outside option to students on other programmes where regulations permit and to General Course students.

An introductory quantitative course, such as MA107 or ST107 or equivalent.

It is an advantage to have taken an introductory social science course  in one of these fields: economics (e.g. EC101 or EC102), management, psychology or sociology.

This course develops your ability to make decisions or help others make better decisions, with the help of ‘system 1’ – the fast, intuitive and (before this course) automatic way our brain makes decisions, and evaluates others’ decisions. The aim is for you to become a better intuitive decision maker.

In lectures, taught with MSc students, we examine how behavioural decision science came about and review a number of  descriptive theories of decision making. We also focus on empirical research on heuristics, biases, decision style and other phenomena which can unconsciously affect decisions. Because behavioural science started in the lab, the course includes a visit to the Behavioural Research Lab, to give you the experience (as researcher and participant)  of what is behind the scenes of ‘behavioural science and insights’.

In seminars which are uniquely designed for undergraduates you apply this research to personal, managerial or policy decisions. 

This is a course for undergraduates with a strong passion for behavioural science and a keen interest in the psychology of decision making and applications for management and policy. Lectures are taught at an advanced level, and experientially (e.g., in-class experiments). It is suitable for 3rd year undergraduates who are keen to learn alongside master’s students in their first term at LSE, from diverse backgrounds and cultures. The course is a natural complement, and preparation for, MG310, which aims at improving the other side of the decision-making brain – the slow and analytic ability to make strategic decisions via modelling and decision analytic techniques

20 hours of lectures and 9 hours of classes in the MT.

1 lecture session (2 hours) will take place in the Behavioural Research Lab.Students on this course will have a reading week in Week 6, in line with departmental policy.

A 500-word essay plan for one long essay (to include a detailed plan, introduction, one full paragraph and conclusion). 2-3 pages of A4 maximum to be submitted AFTER  reading week.

Ariely, D. (2008). Predictably Irrational: The Hidden Forces That Shape Our Decisions. Harper Collins.

Bazerman, M. (2006) Judgment in Managerial Decision Making. New York: Wiley. 6th edition

Hastie, R., and Dawes, R.M.  (2001). Rational Choice in an Uncertain World. Sage Publications, Thousand Oaks

Russo, J. E. & Schoemaker, P. J. H. (2002) Winning decisions: How to make the right decision the first time, Piatkus Publ. Limited,

Sunstein, C.R. Thaler, R.H.  (2008) Nudge  - New Haven, CT: Yale University Press

Yates, F. J. (2003). Decision Management: How to Assure Better Decisions in Your Company. Jossey-Bass

Coursework (10%, 500 words) in the MT.
Essay (90%, 3000 words) in the LT.

Assessment will be as follows:

A 500-word report on the lab experience or experiment to be submitted in week 11 of MT (10% )

An essay of not more than 3,000 words to be submitted no later than the beginning of week 7 of LT, Monday 22nd February at 12:00pm (90%)

The essay will include two parts. In the first part (no more than 1,000 words), you will be asked to prepare a memorandum to the CEO of an organisation (be it public or private, an NGO, a business corporation or a third sector enterprise) giving a behavioural insight on some decision to make, or situation to improve, or goal to achieve. In the second part of the essay (no more than 2,000 words), you will justify the specific recommendations presented in the memorandum with reference to behavioural and decision science literature and theories. The first part of the essay will count for 50% of your mark while 50% will come from the second part.