Postgraduate Course: Pure Analysis 1 (MATH11098)
Course Outline
| School | School of Mathematics | 
College | College of Science and Engineering | 
 
| Course type | Standard | 
Availability | Available to all students | 
 
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) | 
Credits | 20 | 
 
| Home subject area | Mathematics | 
Other subject area | None | 
   
| Course website | 
None | 
Taught in Gaelic? | No | 
 
| Course description | This course covers Measure Theory and Lebesgue Integration. As such it provides a solid and broad foundation to the more pure aspects of mathematical analysis and places many of the techniques of applied analysis on a firm footing. Applications to fractals are included. | 
 
 
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites | 
 | 
Co-requisites |  | 
 
| Prohibited Combinations |  | 
Other requirements |  None | 
 
| Additional Costs |  None | 
 
 
Information for Visiting Students 
| Pre-requisites | None | 
 
| Displayed in Visiting Students Prospectus? | No | 
 
 
Course Delivery Information
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| Delivery period: 2012/13  Semester 1, Not available to visiting students (SS1) 
  
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WebCT enabled:  Yes | 
Quota:  None | 
 
	
		| Location | 
		Activity | 
		Description | 
		Weeks | 
		Monday | 
		Tuesday | 
		Wednesday | 
		Thursday | 
		Friday | 
	 
| No Classes have been defined for this Course |  
| First Class | 
First class information not currently available |  
| Exam Information | 
 
    | Exam Diet | 
    Paper Name | 
    Hours:Minutes | 
    
     | 
     |  
  
| Main Exam Diet S2 (April/May) | MSc Pure Analysis 1 | 3:00 |  |  |  
 
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| Delivery period: 2012/13  Semester 1, Part-year visiting students only (VV1) 
  
 | 
WebCT enabled:  Yes | 
Quota:  None | 
 
	
		| Location | 
		Activity | 
		Description | 
		Weeks | 
		Monday | 
		Tuesday | 
		Wednesday | 
		Thursday | 
		Friday | 
	 
| No Classes have been defined for this Course |  
| First Class | 
First class information not currently available |  
| No Exam Information | 
 
Summary of Intended Learning Outcomes 
Thorough understanding of measure theory and theorems of convergence: Monotone and Dominated Convergence Theorems, Radon Nikodym theorem, L^p spaces, product measures, Riesz representation theorems, differentiation of measures. 
 
Appreciation of applications of abstract theory of measure to fractal sets and Hausdorff dimensions. | 
 
 
Assessment Information 
Examination 80% 
Continuous Assessment 20% |  
 
Special Arrangements 
| Selection of this course requires the approval of the Programme Director. |   
 
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 | PA1 | 
 
 
Contacts 
| Course organiser | Dr Joan Simon Soler 
Tel: (0131 6)50 8571 
Email:  | 
Course secretary | Mrs Frances Reid 
Tel: (0131 6)50 4883 
Email:  | 
   
 
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© Copyright 2012 The University of Edinburgh -  6 March 2012 6:17 am 
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