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Module Specifications

Current Academic Year 2012 - 2013
Please note that this information is subject to change.

Module Title Introduction to Analysis
Module Code MS212
School School of Mathematics
Online Module Resources

Module Co-ordinatorSemester 1: Brien Nolan
Semester 2: Brien Nolan
Autumn: Brien Nolan
Module TeacherBrien Nolan
NFQ level 8 Credit Rating 5
Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None
Description
This module introduces students to the formal and rigorous approach to mathematics which underpins mathematical analysis.The students will develop the skills necessary to make the transition from a formulaic understanding of mathematics to constructing their own formal mathematical arguments, and to promote advanced mathematical thinking through the use of guided inquiry and example generation.Students will participate in the following learning activities:Lectures: There will be a weekly lecture introducing material.Group discussions and problem solving: students will spend the equivalent of two lectures a week on guided group discussions in order to derive results or tests for solving problems, generating examples or counterexamples, and so on.Presentations: students will present their approach to solving particular problems to the class for analysis and critique.Portfolio: students will make regular contributions to a portfolio of written assignments examining more general aspects of the module.Reading: students are expected to fully use the lecture notes and textbooks listed below.

Learning Outcomes
1. Interpret the formal mathematical definitions and statements which arise in analysis.
2. Classify and describe the main components of the definitions or statements, and the motivation behind them.
3. Give examples or counterexamples of important phenomena which are studied in mathematical analysis.
4. Critique and explain the logical steps which are required to apply definitions or theorems to the phenomena which occur in mathematical analysis.
5. Critique and explain the main logical arguments which occur in the proofs of a selection of theorems.
6. Calculate important quantities which arise in mathematical analysis e.g. bounds of sets or sequences, convergence of sequences or series, limits of series or functions, derivatives and integrals of functions.



Workload Full-time hours per semester
Type Hours Description
Lecture12Weekly lecture
Lecturer-supervised learning (contact)24Supervised enquiry and problem based student learning
Assignment11Portfolio assignment
Independent learning time78Recommended time for self-study
Total Workload: 125

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities
Numbers and sets.
The real numbers. Archimedean property of the reals. Least upper bounds and greatest lower bounds..

Sequences and series.
Monotone and bounded sequences. Alternating series. Tests for convergence of series. Power series..

Limits.
Definition of a limit..

Properties of functions.
Continuity. Differentiability. Proof of rules of differentiation. Mean value theorem..

Integration.
Riemann sums. Riemann integral. Fundamental theorem of calculus..

Assessment Breakdown
Continuous Assessment40% Examination Weight60%
Course Work Breakdown
TypeDescription% of totalAssessment Date
PortfolioWeekly exercise to be completed in students own time20%Every Week
PresentationGroup presentation of solutions to exercises during weekly tutorial20%Every Week
Reassessment Requirement
Resit arrangements are explained by the following categories;
1 = A resit is available for all components of the module
2 = No resit is available for 100% continuous assessment module
3 = No resit is available for the continuous assessment component
This module is category 3
Indicative Reading List
  • David Brannan: 0, A first course in mathematical analysis, Cambridge,
  • Anita E. Solow.: 0, Learning by discovery: A Lab manual for Calculus, in Classroom Resource Material series,
  • J. and P. Mikusinski: 0, An introduction to analysis, Wiley,
  • W. R. Wade: 0, An introduction to analysis, Pearson,
  • C. H. Edwards: 0, The historical development of the calculus, SpringerVerlag,
  • Felix Klein: 0, Elementary Mathematics from an Advanced Standpoint: Arithmetic, Algebra, Analysis, Dover Publications,
Other Resources
None
Array
Programme or List of Programmes
BSSAStudy Abroad (DCU Business School)
ECSAStudy Abroad (Engineering & Computing)
HMSAStudy Abroad (Humanities & Soc Science)
SHSAStudy Abroad (Science & Health)
SHSAOStudy Abroad (Science & Health)
Timetable this semester: Timetable for MS212
Date of Last Revision01-FEB-12
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