Transcript Power Point Presentation - Staffordshire University

Welcome
Staffordshire University
Faculty of Computing, Engineering and Technology
Stafford Joints: Maths and Applied Stats
Maths half
Applied Stats half
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Faculty Joints Scheme
 This is an opportunity to pick your own degree
title from a wide range of half degrees that are
on offer
 What is a joint degree?
 The study of two subjects rather than one in equal (or
near equal) measure
 Is it as good as a single honours degree?
 It is different, but yes it is as good
 You will not study one subject in so much depth but,
instead, two subjects in half the depth
 It means you have a broader education
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General Academic Details
 Typically there are 3 years of study plus an
optional year in placement
 A year has two semesters 12 weeks long
 Typically study 4 modules per semester
 Each module has 3 – 4 hours of contact per
week
 Students are expected to undertake100 hours or
so of further independent study per module
 Assessment is different for each module. Your
maths/stats half will typically consist of a mixture
of coursework, exams, and group work.
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Joints Structure
Year 1 Sem 1
Subject A
Subject A
Study Skills
Subject B
Year 1 Sem 2
Subject A
OPTION
Subject B
Subject B
Year 2 Sem 1
Subject A
Subject A
OPTION
Subject B
Year 2 Sem 2
Subject A
OPTION
Subject B
Subject B
Optional Placement
Year 3 Sem 1
Subject A
Project
Research
OPTION
Subject B
Year 3 Sem 2
Subject A
Project
Design
Project
Implement
Subject B
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The Subjects Maths or Stats can be
combined with
The following joints website allows you to
determine what other subjects maths and/or stats
can be combined with other than each other:
http://www.fcet.staffs.ac.uk/joints/tjtable.asp
You can get detailed info on the subjects here.
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The Levels
 Level 1 – Tool kit
Discovering independent learner skills
 Study Skills
 Level 2 – Development
Honing independent learner skills
 Level 3 – Graduate
Emerging independent learner
 Project
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Maths Half - Some of the Topics
Included
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Modelling
Simulations
Calculus and differential equations
Matrices
Mechanics
Complex numbers
Operational research
Simulation
PRACTICAL BASED – MAPLE & EXCEL
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Stats Half - Some of the Topics
Included
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Data types and presenting data
Probability distributions
Hypothesis tests
Confidence intervals
Correlation and Regression
Forecasting
Surveys
Experimental Design
PRACTICAL BASED – SPSS & EXCEL
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Entry Requirements
 240 points – which is typically
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3Cs at A level
200 A level pts & 40 from elsewhere e.g. AS
BTEC national certificate DD/Diploma MMM
Access to HE Diploma
 Allocate 40 points if successful interview
 For Maths Half/Maths and Applied Statistics
usually expect A-level Maths but do allow
entrants with lower (e.g. AS Maths) if we believe
the entrant will be successful (but must take
extra catch-up maths module in Sem 1 Year 1)
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Award Aims and Objectives
 Application of mathematical and/or statistical
tools to the analysis of a range of problems
 Use of mathematical and/or statistical, and
computer models
 Develop skills in written, verbal, and visual
communication
 Preparation for a successful career requiring the
practical application of maths and/or statistics
 This award is not tasked with preparation for a
career in research
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Potential Careers
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Statistician, e.g. government
Teaching
Insurance & actuarial Work
Health and pharmaceutical companies
Many graduate entry careers, e.g. computing,
engineering, accountancy and finance
 Any area that requires analytical skills, e.g. lean
sigma, credit analysis, operational performance
 Many other areas since maths/stats is respected
for producing analytical and logical graduates
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Maths and Stats - Further Information
 If you have any queries, please do not hesitate to
contact us at [email protected]
 The joints website allowing you to determine what
other subjects maths and/or stats can be combined
with other than each other and detailing the subjects
is http://www.fcet.staffs.ac.uk/joints/tjtable.asp
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An Exercise using Excel
Throughout the maths and stats courses extensive use
is made of software to aid modelling and analysis.
Without these we would be quite restricted in what we
can do. It would be difficult to apply the ideas met
through the course to real (potentially large scale)
problems and data.
We will now consider a small scale problem to be
modelled and analysed. We will use Excel to help us.
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Log on information
• Username:
• Password:
• Domain:
fcetopen
day
student
• Username:
• Password:
• Domain:
cisco
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student