REAL ANALYSIS 2 - 2022/3
Module code: MAT2004
In light of the Covid-19 pandemic the University has revised its courses to incorporate the ‘Hybrid Learning Experience’ in a departure from previous academic years and previously published information. The University has changed the delivery (and in some cases the content) of its programmes. Further information on the general principles of hybrid learning can be found at: Hybrid learning experience | University of Surrey.
We have updated key module information regarding the pattern of assessment and overall student workload to inform student module choices. We are currently working on bringing remaining published information up to date to reflect current practice in time for the start of the academic year 2021/22.
This means that some information within the programme and module catalogue will be subject to change. Current students are invited to contact their Programme Leader or Academic Hive with any questions relating to the information available.
This module builds on the Year 1 module Real Analysis 1 and focuses on continuity, differentiability and integrability of real functions of one variable.
GRANT James (Maths)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 5
JACs code: G100
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 95
Lecture Hours: 11
Seminar Hours: 11
Guided Learning: 11
Captured Content: 22
Prerequisites / Co-requisites
MAT1032 Real Analysis 1
This module contains the following topics:
• Limits of functions, continuity (ε-δ definition). Sums, products, compositions. Intermediate value theorem and extreme value theorem.
• Differentiable functions (sums, products, quotients). Differentiability implies continuity. Chain rule, inverse functions. Rolle's theorem, mean value theorem, l'Hôpital's rule. Higher derivatives. Taylor 's theorem. Contraction mapping theorem.
• Theory of integration: upper and lower sums and integrals, the Riemann integral. Conditions for integrability (e.g., continuity implies integrability). Indefinite integration, and the fundamental theorem of calculus. Taylor series with integral remainder.
|Assessment type||Unit of assessment||Weighting|
The assessment strategy is designed to provide students with the opportunity to demonstrate:
· Understanding of and ability to interpret and manipulate mathematical statements.
· Subject knowledge through the recall of key definitions, theorems and their proofs.
· Analytical ability through the solution of unseen problems in the test and exam.
Thus, the summative assessment for this module consists of:
· One two hour examination (three best questions out of four contribute to exam mark) at the end of Semester 1; worth 80% module mark.
· One In-semester test; worth 20% module mark.
Formative assessment and feedback
Students receive written feedback via marked coursework assignments over an 11 week period. In addition, verbal feedback is provided by lecturer/class tutor at weekly tutorial lectures.
- The aim of this module is to extend the introduction to real analysis by studying continuity, differentiability and integration of functions of a real variable in a more formal way and hence provide a deeper understanding of those concepts. Several applications will be presented alongside the theory.
|1||Prove continuity, differentiability and integrability of function by using the formal definitions and basic properties.||KC|
|2||Quote, prove and apply main theorems in Real Analysis (e.g., Intermediate, Extreme and Mean Value Theorems, Rolle's Theorem, l'Hôpital's rule, Taylor’s Theorem, Fundamental Theorem of Calculus, etc.).||KC|
|3||Argue logically to justify proofs or give examples or counterexamples of properties of continuity, convergence, differentiability and integrability.||KCT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to provide:
- A detailed introduction to continuity, differentiability and integrability of real-valued functions.
- Experience (through demonstration) of the methods used to interpret, understand and solve problems in analysis
The learning and teaching methods include:
3 x 1 hour lectures per week x 11 weeks, with projector-displayed written notes to supplement the module handbook and Q + A opportunities for students.
1 x 1 hour interactive problem solving session/tutorial lecture per week x 11 weeks.
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Upon accessing the reading list, please search for the module using the module code: MAT2004
Programmes this module appears in
|Mathematics MMath||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Mathematics with Statistics MMath||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Mathematics with Statistics BSc (Hons)||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Mathematics BSc (Hons)||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2022/3 academic year.