QUANTITATIVE METHODS - 2022/3
Module code: ECO1015
In light of the Covid-19 pandemic the University has revised its courses to incorporate the ‘Hybrid Learning Experience’ in a departure from previous academic years and previously published information. The University has changed the delivery (and in some cases the content) of its programmes. Further information on the general principles of hybrid learning can be found at: Hybrid learning experience | University of Surrey.
We have updated key module information regarding the pattern of assessment and overall student workload to inform student module choices. We are currently working on bringing remaining published information up to date to reflect current practice in time for the start of the academic year 2021/22.
This means that some information within the programme and module catalogue will be subject to change. Current students are invited to contact their Programme Leader or Academic Hive with any questions relating to the information available.
This module covers the necessary basic mathematics topics and descriptive statistics and exploratory data analysis which are necessary for the subsequent maths and statistics modules in level one.
LAOHAKUNAKORN Krittanai (Economics)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 4
JACs code: G100
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 85
Lecture Hours: 22
Tutorial Hours: 5
Guided Learning: 11
Captured Content: 27
Prerequisites / Co-requisites
Indicative content includes:
- probability theory
- discrete probability distributions
- mathematical foundations including linear, quadratic and simultaneous equations with economic applications,
- differentiation of functions of one variable
- function properties, concavity, convexity
- optimisation of economic functions
|Assessment type||Unit of assessment||Weighting|
|IN-SEMESTER TEST 1 - 30 MINUTES||15|
|IN-SEMESTER TEST 2 - 45 MINUTES||25|
|EXAMINATION - 90 MINUTES||60|
The assessment strategy is designed to provide students with the opportunity to demonstrate
Their understanding of the mathematical concepts and their ability to apply this knowledge to economic analysis; their understanding of statistical concepts and ability to use these concepts in economics.
Thus, the summative assessment for this module consists of:
Two in-semester tests and a final exam
- In-semester tests consist of multiple choice questions (usually held in week 6 and week 10 respectively), which allow students to demonstrate their competence in mathematical and statistical methods and in their application to economic analysis. Worth 15% and 25% of the final mark respectively.
- Final exam of 90 minutes, worth 60% of the final mark
Formative assessment and feedback
Students receive verbal feedback during lectures and tutorials. They also have fortnightly feedback sessions. For these, students are being provided with a set of exercises relating to the lecture material which they solve independently or in teams, prior to the session. In the feedback sessions, they discuss their answers in groups, receive feedback on their answers, and guidance on how these answers could be improved. For each coursework and the exam, sample questions are made available for students. After the coursework and the exam, answer keys are made available to students. Students may ask feedback during office hours or via SurreyLearn discussion forum.
- explain the concepts and methods of statistics and understand its applications in economics
- develop the ability to use mathematical concepts to represent economic models
|001||Be proficient in data presentation through computational methods||CP|
|002||Model an economic problem using functional theory||KCT|
|003||Understand the role mathematics plays in the representation and analysis of economic theory||CT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to:
- enhance skills in modelling using basic mathematical techniques,
- enhance understanding of descriptive statistics and data analysis
The learning and teaching methods include:
- 2 hour lecture per week x 11 weeks
- 1 hour feedback session ad groups discussions per week x 5 weeks
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Upon accessing the reading list, please search for the module using the module code: ECO1015
Programmes this module appears in
|Business Economics BSc (Hons)||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Economics and Finance BSc (Hons)||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Economics BSc (Hons)||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Politics and Economics BSc (Hons)||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2022/3 academic year.