Quantitative Methods for Accounting and Finance

BMAN10750 Quantitative Methods for Accounting and Finance 20 Full year Undergraduate Level 1 Mohammad Dehghani Unit coordinator 1 FHEQ level (Framework for Higher Education Qualifications) ' First part HE study/Bachelors ' European Credit Transfer & Accumulation System Rating : 10.0  This course introduces students to mathematical and statistical methods, including describing data, probability, hypothesis testing, correlation, and regression in the first semester, as well as functions, calculus, matrix algebra, optimization, decision making, the time value of money, and time series in the second semester. By applying these quantitative methods to accounting and finance data and solving practical examples, students will develop their analytical skills. <span class="TextRun SCXW66308644 BCX8 NormalTextRun" style="-webkit-tap-highlight-color:transparent;-webkit-text-stroke-width:0px;-webkit-user-drag:none;font-family:"Microsoft Sans Serif", "Microsoft Sans Serif_EmbeddedFont", "Microsoft Sans Serif_MSFontService", sans-serif;font-size:11pt;font-style:normal;font-variant-caps:normal;font-variant-ligatures:none !important;font-weight:400;letter-spacing:normal;line-height:18.3458px;margin:0px;orphans:2;padding:0px;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;user-select:text;white-space:pre-wrap;widows:2;word-spacing:0px;" data-contrast="none" xml:lang="EN-US" lang="EN-US">This course introduces students to mathematical and statistical methods, including describing data, probability, hypothesis testing, correlation, and regression in the first semester, as well as functions, calculus, matrix algebra, optimization, decision making, the time value of money, and time series in the second semester. By applying these quantitative methods to accounting and finance data and solving practical examples, students will develop their analytical skills.<span class="EOP SCXW66308644 BCX8" style="-webkit-tap-highlight-color:transparent;-webkit-text-stroke-width:0px;-webkit-user-drag:none;font-family:"Microsoft Sans Serif", "Microsoft Sans Serif_EmbeddedFont", "Microsoft Sans Serif_MSFontService", sans-serif;font-size:11pt;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:18.3458px;margin:0px;orphans:2;padding:0px;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;user-select:text;white-space:pre-wrap;widows:2;word-spacing:0px;" data-ccp-props="{"335572071":4,"335572072":1,"335572073":4278190080,"335572075":4,"335572076":6,"335572077":4278190080,"335572079":4,"335572080":1,"335572081":4278190080,"335572083":4,"335572084":4,"335572085":4278190080,"469789798":"single","469789802":"single","469789806":"single","469789810":"single"}">  The unit aims to:This course enables students to learn quantitative methods for mathematical and statistical modeling. Students comprehend how to apply these models and quantitative tools to accounting and financial data and critically analyze practical examples.  On successful completion, students wishing to pursue a career in accounting and finance will be able to analyse problems using mathematical and statistical methods. By applying the tools covered throughout the course and using Excel spreadsheets, students will learn how to manage and analyse accounting and finance data. The course also prepares students for the second and final year courses, including BMAN23000 A & B (Foundations of Finance), BMAN30091 (Financial Derivatives), and BMAN30242 (Financial Engineering).  Gain the knowledge of diverse quantitative methods and understand how to analyse and interpret problems.Apply quantitative methods to accounting and finance data for analysing practical examples.Understand the limits of each of the quantitative methods.  Improve their critical thinking for the decision making.Exercise computational and problem-solving skills.    Gain experience in data visualization and interpretation.Develop and apply models for analysing practical examples.  Build capacity for independent learning and working with other members of a team.Enhance their information technology skills, especially working with databases and Excel spreadsheets, in analysing and interpreting statistical results.  Other Using information technology especially Excel spreadsheets in analysing and communicating statistical information will increase students’ set of transferable skills and employability. In addition, BMAN10750 will teach numeracy and problem solving skills both vital skills that enhance employability. Semester 1Describing DataProbability Theory and Random VariablesConditional Probability and Tree DiagramProbability DistributionsSampling and EstimationConfidence IntervalHypothesis TestingTesting Hypothesis for the mean of one sample  Testing Hypothesis for comparing means of two samplesCovariance, Correlation, and Linear Regression.Revision Semester 2Quadratic Equations, Functions and CurvesUnivariate and Multivariate FunctionsCalculus: Differentiation, Partial Differentiation, and IntegrationMatrix AlgebraBusiness Modeling and OptimizationLinear programmingDecision MakingTime Value of Money and Asset PricingTime Series and Forecasting  SimulationRevision  Lecture hours: 44Seminar hours: 18Total study hours: 200 hours split between lectures, classes, self-study and preparation for classes, coursework and examinations. 0 Other 100% 100% by exam: 2 exams with formula sheets: One in each exam period (January and May).  <span class="TextRun SCXW143340998 BCX8 NormalTextRun" style="-webkit-tap-highlight-color:transparent;-webkit-text-stroke-width:0px;-webkit-user-drag:none;font-family:"Microsoft Sans Serif", "Microsoft Sans Serif_EmbeddedFont", "Microsoft Sans Serif_MSFontService", sans-serif;font-size:11pt;font-style:normal;font-variant-caps:normal;font-variant-ligatures:none !important;font-weight:400;letter-spacing:normal;line-height:18.3458px;margin:0px;orphans:2;padding:0px;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;user-select:text;white-space:pre-wrap;widows:2;word-spacing:0px;" data-contrast="none" xml:lang="EN-GB" lang="EN-GB">Feedback methods include providing advice and discussion during lectures by undertaking polls and solving questions during interactive seminar sessions. In addition, students can post their questions on the Blackboard discussion forum, where a teaching staff member will answer those questions. Students can also book an appointment for office hours.<span class="EOP SCXW143340998 BCX8" style="-webkit-tap-highlight-color:transparent;-webkit-text-stroke-width:0px;-webkit-user-drag:none;font-family:"Microsoft Sans Serif", "Microsoft Sans Serif_EmbeddedFont", "Microsoft Sans Serif_MSFontService", sans-serif;font-size:11pt;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:18.3458px;margin:0px;orphans:2;padding:0px;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;user-select:text;white-space:pre-wrap;widows:2;word-spacing:0px;" data-ccp-props="{"335572071":4,"335572072":1,"335572073":4278190080,"335572075":4,"335572076":6,"335572077":4278190080,"335572079":4,"335572080":1,"335572081":4278190080,"335572083":4,"335572084":4,"335572085":4278190080,"469789798":"single","469789802":"single","469789806":"single","469789810":"single"}">     Core for BSc Accounting w/without IPE and BSc Business Accounting with IPE.Core module for BSc Accounting and BSc Business Accounting.  N Textbook: Swift L and Piff S (2014). Quantitative Methods for Business, Management and Finance 4th Edition. Palgrave Macmillan: Basingstoke, Hampshire. Available as online e-textbook (Kortext) from BB module website.Supplementary Text: Zhang, Z., & Shafer, D. (2016). Introductory Statistics. Available on the website https://stats.libretexts.org/Bookshelves/Introductory_Statistics/ Introductory_Statistics (Shafer and_ Zhang)Dewhurst F (2006). Quantitative Methods for Business and Management, 2nd Edition. McGraw Hill: New York    Assessment written exam 3 Lectures 44 Seminars 18 0 135 Pre-requisite course: n/aCo-requisite course: n/aDependent courses: n/aProgramme restrictions: BSc Accounting and BSc Business Accounting students onlyFor Academic Year 2023/24Updated: March 2023Approved by: March UG Committee