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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.