Undergraduate Course: Honours Analysis (MATH10068)
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 10 (Year 3 Undergraduate) 
Credits  20 
Home subject area  Mathematics 
Other subject area  None 
Course website 
None 
Taught in Gaelic?  No 
Course description  Core course for Honours Degrees involving Mathematics.
This is a second course in real analysis and builds on ideas in the analysis portion of Foundations of Pure Mathematics. The course begins by introducing the abstract concept of a metric space to study analytic ideas such as continuity, but the majority of the course is spent on using these ideas to explore the concrete situation in n real dimensions.
In the 'skills' section of this course we develop and start to use some of the fundamental tools of a professional mathematician that are often only glimpsed in lecture courses. Mathematicians formulate definitions (rather than just reading other people's), they make conjectures and then try and prove or disprove them.
Mathematicians find their own examples to illustrate their own and other people's ideas, and they find new ways of developing the theory and new connections. We will explore and practice these activities in the context of material drawn from some of the lectures in the course and related subjects. We will practise explaining mathematics and also consider 'metacognitive skills': the ability that an experienced mathematician has to step back from a calculation or problem, to 'zoom out' and consider whether it is developing well or whether perhaps there is a flaw in the approach. A typical example is the habit stopping and asking whether a proof one is working on is actually using all the assumptions of the theorem. 
Entry Requirements (not applicable to Visiting Students)
Prerequisites 
Students MUST have passed:
Fundamentals of Pure Mathematics (MATH08064)

Corequisites  
Prohibited Combinations  
Other requirements  Students must not have taken :
MATH10008 Pure & Applied Analysis or MATH10049 Metric Spaces 
Additional Costs  None 
Information for Visiting Students
Prerequisites  None 
Displayed in Visiting Students Prospectus?  No 
Course Delivery Information

Delivery period: 2013/14 Semester 2, Available to all students (SV1)

Learn enabled: Yes 
Quota: None 
Web Timetable 
Web Timetable 
Course Start Date 
13/01/2014 
Breakdown of Learning and Teaching activities (Further Info) 
Total Hours:
200
(
Lecture Hours 35,
Seminar/Tutorial Hours 10,
Supervised Practical/Workshop/Studio Hours 10,
Summative Assessment Hours 3,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
138 )

Additional Notes 
Students must pass exam and course overall.

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)  Honours Analysis  3:00   
Summary of Intended Learning Outcomes
1. An ability to perform simple abstract arguments involving metric spaces.
2. An ability to demonstrate an understanding of notions such as openness, closedness, continuity, completeness, equivalence of metrics, compactness and pathconnectedness as applied in the context of general and specific metric spaces.
3. Facility in working with concrete metric spaces based upon real ndimensional space and the discrete metric. In particular, able to work with open, closed, connected, and compact sets in real ndimensional space and to work with continuous functions in real ndimensional space using topological notions.
4. Understanding the definitions and concepts of convergence, Cauchy
sequences, and completeness in R
5. Ability to test sequences and series of functions for uniform convergence, including the Weierstrass M test.
6. Familiarity with the idea that problems of analysis such as convergence of Fourier series can be couched in and resolved using the language of metric spaces.
7. Familiar with the supremum metric and with other metrics on the set of continuous functions and able to demonstrate an understanding of the inequivalence of these metrics.
8. Experience of mathematical activities such as formulating and exploring definitions and conjectures, identifying interesting questions and constructing illustrative examples.
9. Improved abilities in talking about and explaining mathematics
10. An awareness of and some development in a range of metacognitive
skills in a mathematical context, for example considering the relation of a proof to the conditions of a theorem, identifying the key points in a proof or choosing to work on a simplified example of a problem first.
11. Deeper understanding of some representative material from lectures.
12. Experience of mathematical activities such as formulating and exploring definitions and conjectures, identifying interesting questions and constructing illustrative examples. 
Assessment Information
See 'Breakdown of Assessment Methods' and 'Additional Notes' above. 
Special Arrangements
None 
Additional Information
Academic description 
Not entered 
Syllabus 
A suggested syllabus for this course is:
Weeks 14: The metric spaces structure of the real line. This is to include a review of Fundamentals of Pure Maths 2 (including sets and sequences), the definition of a metric space; limits, interior, compactness, and connectedness in a metric space, with emphasis on the situation in the real line; and previously omitted material on Cauchy sequences and uniform continuity in the real line.
Weeks 56: Riemann integration.
Weeks 78: Series of functions (including the completeness of C[a,b]).
Week 9: Other metrics on C[a,b].
Weeks 1011: Fourier series.
Skills: The content will be chosen appropriate to the learning outcomes. (10h) 
Transferable skills 
Not entered 
Reading list 
Students are expected to have a personal copy of :
Wade, W R, 'An Introduction to Analysis'
(continuing students should already have a copy from Year 2) 
Study Abroad 
Not Applicable. 
Study Pattern 
See 'Breakdown of Learning and Teaching activities' above. 
Keywords  HAna 
Contacts
Course organiser  Prof A Carbery
Tel: (0131 6)50 5993
Email: A.Carbery@ed.ac.uk 
Course secretary  Mrs Kathryn Mcphail
Tel: (0131 6)50 4885
Email: k.mcphail@ed.ac.uk 

