Postgraduate Course: Pure Analysis 1 (MATH11098)
Course Outline
| School | School of Mathematics | 
College | College of Science and Engineering | 
 
| Course type | Standard | 
Availability | Not available to visiting 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 | *Only Postgraduate Taught students on Mathematics Degree Programmes and Undergraduate MMath Year 5 students may take this course, and selection requires the approval of the Programme Director.* 
 
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 | 
 
 
Course Delivery Information
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| Delivery period: 2014/15  Semester 1, Not available to visiting students (SS1) 
  
 | 
Learn enabled:  Yes | 
Quota:  None | 
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Web Timetable  | 
	
Web Timetable | 
 
| Course Start Date | 
15/09/2014 | 
 
| Breakdown of Learning and Teaching activities (Further Info) | 
 
 Total Hours:
200
(
 Lecture Hours 20,
 Seminar/Tutorial Hours 10,
 Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
166 )
 | 
 
| Additional Notes | 
 | 
 
| Breakdown of Assessment Methods (Further Info) | 
 
  Written Exam
80 %,
Coursework
20 %,
Practical Exam
0 %
 | 
 
| Exam Information | 
 
    | Exam Diet | 
    Paper Name | 
    Hours & Minutes | 
    
	 | 
  
| Main Exam Diet S2 (April/May) | MSc Pure Analysis 1 | 3:00 |  |  
 
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 
| See 'Breakdown of Assessment Methods' and 'Additional Notes', above. |  
 
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 | Prof A Carbery 
Tel: (0131 6)50 5993 
Email:  | 
Course secretary | Mrs Frances Reid 
Tel: (0131 6)50 4883 
Email:  | 
   
 
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© Copyright 2014 The University of Edinburgh -  13 February 2014 1:48 pm 
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