FINN1047: Quantitative Methods 1

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FINN1047: Quantitative Methods 1

Aims

  • To provide the fundamental quantitative techniques needed for a degree in finance and cognate areas.
  • Provide a rigorous introduction to the foundation mathematical techniques needed for various modules throughout the degree program.

Content

  • Basic mathematical operations, introduction to set theory, basic algebra and mathematical logic.
  • Functions and operators.
  • Differential calculus and optimization.
  • Integral calculus.
  • Matrices, matrix algebra and matrix differential calculus.
  • Advanced concepts in mathematics.

Learning Outcomes

Subject-specific Knowledge:
  • By the end of the module students should:
  • be able to undertake standard mathematical techniques and have the foundational skills to understand new methods introduced in further core and optional modules.
  • be able to identify which mathematical technique is required for solving particular problems.
  • understand the use of symbolic mathematical objects and operations.
  • be able to apply specific mathematical operations in a variety of contexts.
  • should have acquired the range of analytical mathematical skills that could be applied at later points in the program of study and be able to adapt standard approaches across a range of contexts.
Subject-specific Skills:
  • An array of mathematical and statistical skills widely used in finance and business.
  • Engage in applied problem solving across a range of contexts in finance and related disciplines.
Key Skills:
  • Written communication - through formative and summative assessment.
  • Planning and organisation and time management - through the preparing for workshops, by revising relevant material and preparing for the summative assessment and examination.
  • Problem solving and analysis - by applying the necessary analytical and quantitative skills.
  • Initiative - by searching relevant literature and information in preparation for assessed work.
  • Numeracy - by applying core mathematical and statistical skills to solve a range of problems.
  • Computer literacy - through the use of appropriate mathematics software.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • Workshops will deliver essential material in an efficient way to a large audience and will identify key reading and exercises.
  • The workshop combines a lecture style in the first half hour, then students are broken down into smaller subgroups to study problem sets provided by the instructor within a flipped format.
  • The final half hour provides a plenary to review and reflect.
  • Extensive use of homework problems is used to embed knowledge and skills.
  • Continuous formative assessment is undertaken within the scheduled workshops.
  • Summative assessment is by means of an assignment that requires students to apply their knowledge across a range of contexts.

Teaching Methods and Learning Hours

Activity Number Frequency Duration Total/Hours
Workshops 10 Weekly 2 hours 20
Preparation and Reading 80
Total 100

Summative Assessment

Component: Online Test Component Weighting: 40%
Element Length / duration Element Weighting Resit Opportunity
Multiple Choice Timed Test 1 hour in term 100% same
Component: Written Assignment Component Weighting: 60%
Element Length / duration Element Weighting Resit Opportunity
Assignment 1500 words 100% same

Formative Assessment:

A range of exercises will be completed throughout the module in seminars. One practice multiple choice test.

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