EC139-15 Mathematical Techniques A
Introductory description
The module provides an introduction to mathematical techniques appropriate for joint honour degrees with Economics. You will gain understanding of key concepts in univariate and multivariate calculus, optimization, and linear algebra, and how they are applied within economics. You will also develop appropriate maths-related technical computing skills.
Module aims
To develop skills in mathematical techniques for a thorough and rigorous study of economic analysis, econometric methods and applied economics, appropriate for joint honours degrees with Economics. The module forms part of the first year core cluster EC120 Quantitative Techniques, which is made up of one module in Mathematical Techniques (A (EC121) or B (EC123)), and one module in Statistical Techniques (A (EC122) or B (EC124)).
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
The module will typically cover the following topics:
Revision of basic algebra; Univariate differential calculus and optimization; Mathematics of growth and decay; Multivariate differential calculus and optimization; Constrained optimization; Linear algebra; Integral calculus; Applications in economics; mathematical computing skills.
Learning outcomes
By the end of the module, students should be able to:
- acquire understanding of mathematical techniques necessary for a rigorous study of economic analysis and econometric methods, appropriate to joint honours degrees with Economics.
- develop mathematical skills necessary to study core and optional first- and second-year modules in economics for joint honours degrees with Economics.
- develop technical computing skills for writing mathematical text and numerical mathematical analysis
Indicative reading list
Please see Talis Aspire link for most up to date list.
View reading list on Talis Aspire
Subject specific skills
Students will have the opportunity to develop:
Analytical thinking and communication
Analytical reasoning
Problem-solving
Abstraction
Concepts of Simultaneity and Endogeneity
Analysis of optimisation
Transferable skills
Students will have the opportunity to develop:
Numeracy and quantitative skills
Mathematical, statistical and data-based research skills
IT skills
Written communication skills
Oral communication skills
Study time
| Type | Required |
|---|---|
| Lectures | 10 sessions of 2 hours (13%) |
| Seminars | 4 sessions of 1 hour (3%) |
| Demonstrations | 4 sessions of 1 hour (3%) |
| Private study | 122 hours (81%) |
| Total | 150 hours |
Private study description
Private study will be required in order to prepare for seminars/classes, to review lecture notes, to prepare for forthcoming assessments, tests, and exams, and to undertake wider reading around the subject.
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group D
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
| Test 1 | 12% | No | |
|
50 minute online test |
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| Test 2 | 12% | No | |
|
50 minute online test |
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| 6 x Problem Sets (1% each) | 6% | No | |
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Six online problem sets (1% each). One aggregated mark to be given for all six problem sets. |
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| Online Examination | 70% | No | |
|
A paper which examines the course content and ensures learning outcomes are achieved. ~Platforms - AEP
|
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Assessment group R
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
| Online Examination | 100% | No | |
|
A paper which examines the course content and ensures learning outcomes are achieved. ~Platforms - AEP
|
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Feedback on assessment
The Department of Economics is committed to providing high quality and timely feedback to students on their assessed work, to enable them to review and continuously improve their work. We are dedicated to ensuring feedback is returned to students within 20 University working days of their assessment deadline. Feedback for assignments is returned either on a standardised assessment feedback cover sheet which gives information both by tick boxes and by free comments or via free text comments on tabula, together with the annotated assignment. For tests and problem sets, students receive solutions as an important form of feedback and their marked assignment, with a breakdown of marks and comments by question and sub-question. Students are informed how to access their feedback, either by collecting from the Undergraduate Office or via tabula. Module leaders often provide generic feedback for the cohort outlining what was done well, less well, and what was expected on the assignment and any other common themes. This feedback also includes a cumulative distribution function with summary statistics so students can review their performance in relation to the cohort. This feedback is in addition to the individual-specific feedback on assessment performance.
Pre-requisites
At least a grade A in GCSE Mathematics, or equivalent.
Courses
This module is Core optional for:
- Year 1 of UIPA-L1L8 Undergraduate Economic Studies and Global Sustainable Development
- Year 1 of UPHA-L1CA Undergraduate Economics, Psychology and Philosophy
- Year 1 of UPHA-V7ML Undergraduate Philosophy, Politics and Economics
This module is Core option list A for:
- Year 1 of UECA-LM1D Undergraduate Economics, Politics and International Studies
This module is Core option list B for:
- Year 1 of ULNA-R1L4 Undergraduate French and Economics (4-year)
This module is Core option list C for:
- Year 1 of ULNA-R4L1 Undergraduate Hispanic Studies and Economics (4-year)
This module is Core option list D for:
- Year 1 of ULNA-R2L4 Undergraduate German and Economics (4-year)
- Year 1 of ULNA-R9L1 Undergraduate Modern Languages and Economics (4-year)