MA4030  Mathematical Proofs and Structure (2018/19)
Module specification  Module approved to run in 2018/19  
Module title  Mathematical Proofs and Structure  
Module level  Certificate (04)  
Credit rating for module  30  
School  School of Computing and Digital Media  
Total study hours  300  


Assessment components 


Running in 2018/19 

Module summary
This module develops the skills necessary to support academic study at degree level. It will also develop reflective learning and action planning via the Personal Development Planning (PDP) process. The first term topics will look into history of mathematics , development of modern number system and introduce idea of mathematical proofs. Different proof techniques will be covered using examples from Set Theory and Number Theory.
The topics covered in the second term part of this module is to introduces the main ideas of graph theory and includes a variety of algorithms.
Syllabus
• Development of the modern number system; non traditional approaches to mathematics (e.g. Vedic mathematics). LO1
• Proof Techniques in Mathematics. Various proof methods will be introduced: deduction, induction, direct proof, contradiction, contrapositive, wellordered principle via topics in Set and Number Theory below.
• Number theory topics. Divisibility, Prime decomposition, Quotient Remainder Theorem, Euclid’s Algorithm, Modular arithmetic.
• Definitions, adjacency and incidence matrices LO2,LO3
• Particular graphs, graphic sequences, walks, paths, trails, cycles.
• Disconnecting sets, separating sets, edgeconnectivity, vertex connectivity
• Counting walks, Eulerian graphs, Hamiltonian graphs
• Planar graphs– Euler’s formula, Kuratowski’s theorem, dual graphs
• Independent sets, Independence number
• Vertex colourings, Chromatic number and Chromatic polynomials. LO4
Balance of independent study and scheduled teaching activity
The module will be taught by a mixture of lectures, workshops and self study practical exercises. The lectures will be used to introduce the various concepts and principles of the module and their strengths in applications. Lectures will be followed by workshops.
The workshops will afford students the opportunity to work in small groups on exercises related to previously taught material. The students will be able to present previously completed exercises for comment from the lecturer and other students. In this class time students will also be encouraged to explore and experiment with the concepts and techniques to encourage their own sense of mathematical creativity.
Students will be expected to spend time on unsupervised work, for example, private study of problem sheets and in the preparation of coursework (219 hours). A framework will be put in place to encourage disciplined learning through student selfawareness of progress in volume of work, understanding, attendance and punctuality.
In addition to standard VLE presence there will be links available for further readings and discussion groups.
Learning outcomes
LO1: Be familiar with the historical developments of mathematics from the origin to modern times.
LO2: Understand different proof techniques and be able to apply them.
LO3: Be familiar with the basic results from the Number Theory, Set Theory.
LO4: Be able to identify the main properties of given graphs and be able to interpret and evaluate the outcomes of algorithms.
LO5: Reflecting on the formative feedbacks received on all level 3 modules.
Assessment strategy
The assessment for this module consists of two courseworks (50% combined) and two tests (50% combined).
The coursework will require students to:
produce an account of students’ learning so far, experience on the course, the feedback received in modules and reflection on formative feedback; LO5
solve problem sheets on different proof techniques covering. LO12
There will be a progression test covering LO3, LO4 which will give students opportunity to demonstrate their understanding of selection of topics.
The final assessment will be an exam where students will be tested on LO4.
Bibliography
Core Text:
Johnson, D. L.(1998), Elements of Logic via Numbers and Sets, SpringerVerlag
R.J.Wilson(1996), Introduction to Graph Theory (4th edition) Longman
Recommended Reading:
Houston, K.(2009), How to Think Like a Mathematician, Cambridge Unidversity Press.
M.Behzad, G.Chartrand, L.LesniakForster(1996), Graphs and Digraphs, CRC Press.
A.Dolan, J.Aldous(1993), Networks and Algorithms, Wiley.
G.Chartrand, O.R.Oellermann(1993), Applied and Algorithmic Graph Theory, McGrawHill.