Postgraduate Course: Statistics For Finance (CMSE11086)
Course Outline
| School | Business School |
College | College of Humanities and Social Science |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Credits | 15 |
| Home subject area | Common Courses (Management School) |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| Course description | This course will train students in the basic tools of Statistics for Finance. "Statistics for Finance" builds on such topics as elementary probability, simple sampling theory and statistical inference. Moments, Quantiles and distributions are introduced.
Lectures are supported by weekly problem solving classes. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
Students MUST have passed:
Students MUST have passed:
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | For Business School PG students only, or by special permission of the School. Please contact the course secretary. |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | No |
Course Delivery Information
|
| Delivery period: 2013/14 Semester 1, Available to all students (SV1)
|
Learn enabled: Yes |
Quota: None |
Web Timetable |
Web Timetable |
| Course Start Date |
16/09/2013 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
150
(
Lecture Hours 20,
Seminar/Tutorial Hours 8,
Summative Assessment Hours 4,
Programme Level Learning and Teaching Hours 3,
Directed Learning and Independent Learning Hours
115 )
|
| Additional Notes |
|
| Breakdown of Assessment Methods (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
|
| Exam Information |
| Exam Diet |
Paper Name |
Hours:Minutes |
|
|
| Main Exam Diet S1 (December) | Statistics For Finance | 2:00 | | |
Summary of Intended Learning Outcomes
Knowledge and Understanding
By the end of the course students will be able to:
* Define and illustrate the concepts of probability, random variables, point estimation, interval estimation, hypothesis testing and inference.
* Link theory with empirical applications.
* Understand the importance of assumptions in statistics/econometrics.
* Have a strong enough understanding of the introductory material covered in the course to proceed to the more advanted techniques to be covered in subsequent classes.
Intellectual Skills and Personal Development
The course will develop analytical, numerical and problem-solving skills.
Subject Specific Skills:
Students will gain an ability to understand and use statistics notation and theory to solve a wide range of problems in Finance. |
Assessment Information
| An examination counts for 70% of the grade. The remaining 30% is based on a mid-term quiz. |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | Stats |
Contacts
| Course organiser | Dr Angelica Gonzalez
Tel: (0131 6)51 3027
Email: angelica.gonzalez@ed.ac.uk |
Course secretary | Mr Stephen Graham
Tel: (0131 6)50 8071
Email: Stephen.Graham@ed.ac.uk |
|
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