2. School Or Partner Institution Which Will Be Responsible for Management of the Module

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2. School Or Partner Institution Which Will Be Responsible for Management of the Module

MODULE SPECIFICATION

1. Title of the module Finance with Excel (CB6002) 2. School or partner institution which will be responsible for management of the module Kent Business School 3. The level of the module (Level 4, Level 5, Level 6 or Level 7) Level 6 4. The number of credits and the ECTS value which the module represents 15 credits (7.5 ECTS) 5. Which term(s) the module is to be taught in (or other teaching pattern) Spring 6. Prerequisite and co-requisite modules Fixed Income Markets and Instruments 7. The programmes of study to which the module contributes BA (Hons) Accounting & Finance 8. The intended subject specific learning outcomes. On successfully completing the module students will be able to: 8.1demonstrate systematic understanding of key aspects of the use of Excel to solve financial problems 8.2demonstrate their ability in calculation and manipulation and capability to deploy accurately established approaches to analyse and solve problems in the following financial areas: Basic financial calculations, Monte Carlo simulation, Bond valuation, Derivative modelling and portfolio analysis 8.3Systematically apply key aspects of Excel for finance in well-defined contexts, showing judgement in the selection and application of tools and techniques 8.4demonstrate conceptual understanding of the advantages and disadvantages of financial approaches in project and asset valuation and in portfolio analysis

9. The intended generic learning outcomes. On successfully completing the module students will be able to: 9.1make competent use of information technology skills and demonstrate an increased level of skill in numeracy and computation 9.2manage their time and use their organisational skills to plan and implement efficient and effective modes of working 9.3communicate straightforward arguments and conclusions reasonably accurately and clearly

10. A synopsis of the curriculum This module will examine how Excel can be used for financial data analysis. A brief revision of each financial concept will be presented. The syllabus will typically cover: Introduction to Excel:  Basic functions, mathematical expressions Data Analysis with Excel:  Data analysis, charts, solver, goal seek, pitot tables and pivot charts Financial Valuation: MODULE SPECIFICATION

 Applications of time value of money  Applications of capital budgeting techniques in Excel (IRR, NPV, Scenario Analysis, Monte Carlo simulation)  Company Valuation Models

Portfolio Analysis and Security Pricing:  Portfolio models, calculations of efficient portfolios, variance-covariance matrix  Beta coefficient estimations and security market line  Bond Valuations  Binomial option pricing, Black-Scholes model.

11. Reading list (Indicative list, current at time of publication. Reading lists will be published annually) Benninga, S. (2008) Financial Modelling, 3rd edition. Cambridge, Mass.: MIT Press. Benninga, S. (2010) Principles of Finance with Excel. Oxford: Oxford University Press. Holden, C.W. (2012) Excel Modelling in Investments. 4th edition, London: Pearson. Jackson, M. and M. Staunton (2001) Advanced Modelling in Finance using Excel and VBA. Chichester: Wiley.

12. Learning and teaching methods Methods Hours Lectures 22 hours Labs 12 hours Self-managed Learning 80 hours Coursework assessment including 36 hours (See section presentation 13) Total hours 150

There will be 34 hours of contact time, comprising a mixture of two-hour lectures and one- hour seminar/ IT lab each week during a twelve-week period. The lectures introduce the students to basic of financial modelling with Excel. The lectures contain numerous worked examples to emphasise the practical application of the theory. Seminars and IT labs will provide a platform for students to develop and consolidate their understanding of knowledge and subject –specific skills. Students will be expected to study 150 hours in total, with non-contact time devoted to guided individual learning (total 80 hours), including preparation and presentation for coursework (36 hours). Students will be given exercise to complete in their own time, which are intended to reinforce the lecture material, encourage the student to read the study notes and to apply the concepts taught to practical problems.

13. Assessment methods The module will be assessed by two coursework assignments. The two assignments will cover different parts of the syllabus i.e. they students will be asked to show their understanding in different subjects of financial theory and Excel use.

2 Module Specification Template (July 2016) MODULE SPECIFICATION

1. The first individual assignment (30%) will test applications of capital budgeting techniques (Financial Valuation section of the syllabus, see Section 10) based on an Excel workbook and individual report of 1000 words. The workload includes an extensive numerical analysis in Excel in order to produce the appropriate graphs and tables and a report that will explain the main findings.

2. The second individual assessed coursework (70%) consists of an Excel based project on valuation of various financial instruments (Portfolio analysis and Security Pricing section of the syllabus, see Section 10). The workload includes an extensive numerical analysis in Excel in order to produce the appropriate graphs and tables and a report that will explain the main findings.

14. Map of module learning outcomes (sections 8 & 9) to learning and teaching methods (section12) and methods of assessment (section 13) Module learning 8.1 8.2 8.3 8.4 9.1 9.2 9.3 outcome Learning/ teaching Hours method allocated Private Study 116 x x x x x x x Lectures 22 x x x x x Labs 12 x x x x Assessment method Coursework 1 (30%) x x x x x Coursework 2 (70%) x x x x x x x

15. Inclusive module design The School recognises and has embedded the expectations of current equality legislation, by ensuring that the module is as accessible as possible by design. Additional alternative arrangements for students with Inclusive Learning Plans (ILPs)/declared disabilities will be made on an individual basis, in consultation with the relevant policies and support services. The inclusive practices in the guidance (see Annex B Appendix A) have been considered in order to support all students in the following areas: a) Accessible resources and curriculum b) Learning, teaching and assessment methods 16. Campus(es) or centre(s) where module will be delivered: Canterbury 17. Internationalisation Financial modelling is considered one of the most important tools for decision making across the world. The financial part of the syllabus aims to securities and bonds, the two most active financial markets in global level while project valuation is faced by every company. Being able to solve these problems using Excel which available and used in the majority of labs across the world will have international connotations.

FACULTIES SUPPORT OFFICE USE ONLY 3 Module Specification Template (July 2016) MODULE SPECIFICATION

Revision record – all revisions must be recorded in the grid and full details of the change retained in the appropriate committee records.

Date approved Major/minor Start date of the delivery of Section revised Impacts PLOs (Q6&7 cover revision revised version sheet)

4 Module Specification Template (July 2016)

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