MODULE SPECIFICATION UNDERGRADUATE PROGRAMME KEY FACTS Module name Quantitative Methods Module code FR1201 School Cass Business School Department or equivalent UG Programme (Cass Business School) UK credits 15 ECTS 7.5 Level 4 Delivery location (partnership programmes only) MODULE SUMMARY Module outline and aims This module provides an underpinning and understanding of numerical techniques used in the business world to aid decision making. It aims to provide you with the mathematical and statistical foundations that are necessary in your second year Financial Econometrics and Finance courses. Content outline Part 1: Elementary Statistical Theory Describing and summarising data Measuring uncertainty; random variables Conditional probability and independence Discrete distributions (Binomial, Poisson) Covariance and correlation Continuous distributions (Normal) Estimation and confidence in intervals Hypothesis testing (inferences on means and proportions) Part 2: Basic calculus for Finance. Rate of change and differentiation Integration by parts and substitution Introduction to linear algebra ( matrix operations, inverse matrix, determinats) WHAT WILL I BE EXPECTED TO ACHIEVE? On successful completion of this module, you will be expected to be able to:
Knowledge and understanding: - Illustrate the applications of calculus in business and economics - Discuss the concepts of samples and populations - Explain and demonstrate the use of different distributions and statistical inference Skills: - Identify a range of analytical and diagnostic quantitative methods tools to support effective decision making - Interpret complex quantitative data - Locate the main information from a large data set, produce summaries, and report them effectively - Demonstrate problem solving skills - Demonstrate the ability to use spreadsheets and, potentially, other statistical software packages Values and attitudes: - Express the ability to work in situations of ambiguity and develop the willingness to use own-judgement in explaining results in the light, or sometimes despite, the numerical calculations - Develop assurance, confidence, and self-belief in the ability to apply the skills and knowledge learnt in the module - Show confidence in presenting work to a small audience during the tutorials - Demonstrate an ethical approach to work, which resonates to that of a professional manager HOW WILL I LEARN? A variety of learning and teaching methods will be used in this course. Lectures are used to introduce context, concepts and techniques illustrated with practical and current examples. You will also have the opportunity to participate in class discussions and work through examples and exercises with the support of the lecturer. It is strongly recommended that you attend ALL lectures. Tutorials are used to explore the concepts and practices covered in the lectures in more detail. Specifically, they are used primarily to demonstrate technical material, although some discussion and analysis will accompany the practical techniques. Tutorials take place in smaller groups and you are expected to interact with the tutor and other students. Key learning and teaching resources will be put on the module website on Moodle. In the independent study time you are encouraged to read widely and in depth around particular topics in preparation for lectures and tutorials. You may also spend time working through sample exercises and questions. In addition you will be preparing and undertaking your coursework assignments and preparing for your final examination. Teaching Pattern:
Teaching component Teaching type Contact Selfdirected study Placement Total student learning Lectures Lecture 20 80 0 100 Classes Class 10 40 0 50 Totals 30 120 0 150 WHAT TYPES OF ASSESSMENT AND FEEDBACK CAN I EXPECT? Assessments This module is assessed by Coursework and Examination. Coursework will be in the form a substantial test held in approximately week 8 of term. The test will be 60 minutes in duration and will comprise a number of multiple choice answer style questions, designed to test your recollection and comprehension of the material covered so far. At the end of the module you will sit one final 135 minute exam during the University exam period. Assessment Assessment Weighting Minimum Pass/Fail? component type qualifying mark Coursework Set Exercise 20 40 No Exam 2¼ Written Exam 80 40 No Assessment criteria Assessment criteria are descriptions of the skills, knowledge or attributes you need to demonstrate in order to complete an assessment successfully and Grade-Related Criteria are descriptions of the skills, knowledge or attributes you need to demonstrate to achieve a certain grade or mark in an assessment. Assessment Criteria and Grade-Related Criteria for module assessments will be made available to you prior to an assessment taking place. More information will be available in the UG Assessment Handbook and from the module leader. Feedback on assessment Following an assessment, you will be given your marks and feedback in line with the University s Assessment Regulations and Policy. More information on the timing and type of feedback that will be provided for each assessment will be available from the module leader. Assessment Regulations
The Pass mark for the module is 40%. Any minimum qualifying marks for specific assessments are listed in the table above. The weighting of the different components can also be found above. The Programme Specification contains information on what happens if you fail an assessment component or the module. INDICATIVE READING LIST Newbold, P.,Carlson, W.L. and Thorne, B. (2013) Statistics for business and economics, 8th edn., Harlow: Pearson Education. Version: 2.1 Version date: February 2016 For use from: 2016-17
Appendix: see http://www.hesa.ac.uk/content/view/1805/296/ for the full list of JACS codes and descriptions CODES HESA Code Description Price Group 133 Business and D Management JACS Code Description Percentage (%) G300 G100 Statistics The study of the collection and analysis of numerical data. Mathematics The rigorous analysis of quantities, magnitudes, forms and their relationships, using symbolic logic and language, both in its own right and as applied to other disciplines. 70% 30%