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About Quantitative Techniques
Aim of the course
Rooms and times
Assignment
VLE
Assessment
Course outline
Reading list
For information and additional resources linked to an
individual lecture, click the appropriate link on the toolbar to the
left.
About Quantitative
Techniques.
This is a course offered to Graduate
Diploma in Economics students.
Aim of the course.
The purpose of this course is to train studnets in the basic techniques
of mathematics and statistics. The course is designed for both students
with little prior knowledge of the topics, and students who have not
studied these disciplines for a long time. By the end of the year
students should be familiar with the techniques most commonly used in
economic analysis and be capable of undertaking further study of
advanced economic techniques. Topics include: descriptive statistics,
probablity and distribution theory, estimation, hypothesis testing,
regression analysis.
Rooms and Times.
There is a two-hour lecture each week on Wednesday at
9:00-11:00 in VG01 in Vernon Square.
The first lecture for Quantitative
Techniques in term 2 is on Wednesday
9th January 2008.
In addition to this, each week, there is a one-hour
tutorial on Thursday at 10:00-11:00 in room V222 in Vernon Square.
Assignments
Exercises will be handed out weekly during lectures and will be solved
during tutorials. Although they are not formally assessed, you are
strongly advised
to answer all of the questions.
VLE
The second term of this course is participating in the
School's Virtual
Learning Environment (VLE). VLE refers to the components in which
learners and tutors participate in 'online' interactions of various
kinds, including online learning. At SOAS we use a commercially
produced 'shell', called the Blackboard. Students will receive
instruction on the course 'shell' in the introduction session.
Link to the course VLE site.
Click here
to know more about the VLE at SOAS.
Calculators
An electronic calculator will be helpful for parts of this course.
Provided your calculator cannot store text, you may use it in the final
examination in May/June, stating the type of calculator on your answer
book.
Assessment
There will be an examination of 3 hours duration to be held in
May/June, which will account for 100% of the final grade.
Lecture plan.
Click
here to download the Course outline/Reading list.
Term 2
1. Descriptive statistics I
2. Descriptive statistics II
3. Probability theory
4. Probability Distributions I
5. Probability Distributions II
6. Estimation
7. Confidence Intervals
8. Hypothesis testing
9. Regression I
Term 3
1. Revision session (date to be announced)
2. May/June FINAL EXAM (date to be announced)
Reading
list.
Statistics:
term 2
Kmenta,
J. (1990) Elements of Econometrics, Second Edition (New
York: Macmillan).
Gujarati, D. (1999) Essentials of Econometrics, 2nd ed.(McGraw
Hill).
Wonnacott, T. H. and R. J. Wonnacott (1990) Introductory Statistics , New York: John
Wiley & Sons.
Barrow, M. (1996) Statistics for Economics Accounting and Business
Studies , London: Longman.
Bancroft, G. and G. O’Sullivan (1993) Quantitative
Methods for Accounting and Business Studies, McGraw-Hill.
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