BDM Scheme of Work.docScheme of WorkBTEC HND in Busine.docx

BDM Scheme of Work.doc
Scheme of Work
BTEC HND in Business
Module Title: Business Decision Making (BDM)
September 2016 Semester
Module Leaders: Kuldeep Pradhan
Module Lecturers:
Nooreen Jafferkhan
Kuldeep Pradhan
Aims:
The aim of this unit is to give learners the opportunity to
develop techniques for data gathering and
storage, an understanding of the tools available to create and
present useful information, in order to
make business decisions
Learning Outcomes:
On successful completion of this unit a learner will:
LO1 Be able to use a variety of sources for the collection of
data, both primary and secondary
LO2 Understand a range of techniques to analyse data
effectively for business purposes
LO3 Be able to produce information in appropriate formats for

decision making in an organisational context
LO4 Be able to use software-generated information to make
decisions in an organisation.
Delivery:
This unit will be delivered through a combination of different
methods that mainly include formal lectures (1 hour) and
seminars (2hours). The lecture sessions will normally introduce
the topics, and will be largely tutor-led. Seminars are designed
to allow for in-depth discussion on the lecture topic, and
provides opportunities for students to understand in more detail
the linkages between the lecture content and the assessment for
the module. During seminars, several methods and techniques
that can be applied may include question and answer, group
discussions and short presentations based for example on
scenarios, video-clips and case study material.
Assessment:
The assessment for this module will take the form of an
“Individual Assignment” which will be scenario based over a
number of tasks. The tasks presented will cover learning
Outcomes (LO1 – LO4), and will be designed to evaluate
students’ understanding of the module content.
A completed assignment must provide evidence reflecting that
students have understood and can use the information they have
studied on the course. The evidence should meet all the
assessment criteria and presented in a manner that helps
students to receive at least a PASS grade, in order to succeed in
the Module.
Essential Reading:
E-text book on Moodle:

Newbold P, Carlson William L, Thorne B, Statistics for
Business and Economics: Global Edition.
8th edition, Thomson Publications
Recommended Reading: Electronic Sources
1. Times 100: http://businesscasestudies.co.uk2. The Harvard
Business Review
3. Journal of Strategic Management
Websites:
www.businessweek.com
www.ft.com
Week Number
Lecture Topics
Duration: One hour
Seminar Topics
Duration: 1st Hour
Seminar Topics
Duration: 2nd Hour
Objectives of the Sessions
Week 1
Topic 1: Introductory session:
-Overview of Unit content
-Overview of Learning
Outcomes and Assessment criteria

-Overview of Assessment method teaching structure (Lectures &
Seminars), Scheme of Work
Health and Safety & Housekeeping
Formative & summative Assessment plans and structure
explained
-Reading & Research expectations
Plenary discussion;
Group discussions;
Presentations;
Scenarios, Case study examples;
Videoclips/demonstrations,
To introduce key aspects of the module:
-Learning Outcomes and Assessment Criteria
-Overview of Assessment methods delivery structure (Lectures
& Seminars)
Week 2
Be able to use a
variety of sources for
the collection of data,

both primary and
secondary
Primary sources:
survey methodology;
questionnaire design;
sample frame;
sampling
methods; sample error
Secondary sources:
internet research;
government and other
published data; byproduct data
Storage: security of
information; data
protection issues;
ethical issues
Assignment Brief issued
-Discuss research and
the types of research

-Discuss various
methods of research
- Discuss sampling
-Secondary sources
-Primary sources
-Data security issues
Assignment Brief
Discussion on
questionnaires
-Survey
methodologies
create a plan for the
collection of
primary and
secondary
data for a given
business problem
present the survey
methodology and

sampling frame
used
design a
questionnaire for a
given business
problem
LO1(AC1.1)
Be able to use a
the collection of
data, both primary
and
secondary
Week 3
Understand a range of
techniques to analyse
data effectively for
business purposes

Representative values:
mean, median, mode;
calculation from raw
data and frequency
distributions using
appropriate software;
using the results to
draw valid
conclusions
Discussion on
-Mean
-Median
-Mode
-Introduction to using
MS Excel
- Assignment Brief
Calculation of mean
Calculation of
median

Calculation of
mode
Use of Excel
LO2
Understand a range
of techniques to
analyse data
effectively for
business purposes
Week 4
business purposes
Measures of
dispersion: standard
deviation for small and
large samples; typical
uses (statistical
process eg control,

buffer stock levels)
Discussion on:
-Dispersion
-Standard deviation
-Variance
- Assignment Brief
Calculation of
dispersion
Calculation of
standard deviation
Calculation of
variance
LO2
Understand a range
of techniques to
analyse data
effectively for
business purposes
Week 5

business purposes
Calculation: use of
quartiles, percentiles,
correlation coefficient
Discussion on:
-Quartiles
-Percentiles
-Correlation Coefficient
- Assignment Brief
Calculation of
quartiles
Calculation of
percentiles
Calculation of
correlation
coefficient
LO2
Understand a range

of techniques to
analyse data
effectively for
business purposes
Week 6
Be able to produce
information in
appropriate formats
for decision making in
an organisational
context
Creation and
interpretation of
graphs using
spreadsheets: line,
pie, bar charts and
histograms
Interim Progress Check

-Discussion on graphs
-Types of graphs
-Usage of graphs
-Pie charts, bar charts,
histograms
-Use of excel
- Assignment Brief
Drawing graphs on
MS Excel
Use of graphs and
interpreting graphs
Writing reports
LO3
Be able to produce
information in
appropriate formats
for decision making
in an organisational
context
Week 7

Be able to produce
information in
appropriate formats
an organisational
context
Scatter (XY) graphs
and linear trend lines:
extrapolation for
forecasting (reliability)
Presentations and
report writing: use of
appropriate formats;
presentation software
and techniques
Discussion on:
- Trend Lines
-Forecasting and its

benefits
-Presentations and
Report writing
- Assignment Brief
- Using Excel to
draw graphs
-Using Excel for
trendlines
-Using Excel for
forecasting
-Report wriring
LO3
Be able to produce
information in
appropriate formats
for decision making
context
Week 8
Be able to use

software-generated
information to make
decisions in an
Organisation
Management
information systems:
computers and
information
processing tools for
operational, tactical
and strategic levels of
the organisation
Project management:
networking and critical
path analysis, Gantt
and Pert charts
Discussion on:
- Management

Information System
-Information needs at
various levels within the
organisation
- Project management:
Network analysis and
critical path analysis
- Assignment Brief
- Use of
management
information
systems
-Importance with
regards to decision
making
-Network analysis
-Critical path
analysis
LO4

Be able to use
software-generated
information to make
decisions in an
Organisation
Week 9
Be able to use
software-generated
information to make
decisions in an
organisation
Financial tools: net
present value;
discounted cash flow
Discussion on:
-Investment appraisal
techniques;
-Payback period
-Discounted cashflow;
-Net present value

- Assignment Brief
-Calculation of
payback period
-Calculation of net
present value
LO4
Be able to use
software-generated
information to make
decisions in an
organisation
Week 10
Be able to use
software-generated
information to make
decisions in an
organisation
internal rates of return
Discussion on
-Internal Rate of return

- Assignment Brief
-Calculation of
Internal Rate of
return
LO4
Be able to use
software-generated
information to make
decisions in an
organisation
Week 11
Revision and
Preparation for submission
Revision & surgery session
Discussion, feedback and preparation for submission
Revision, feedback on student progress and preparations for
submission
Make final check on student progress and prepare them for
submission
Week 12
Assignment submission

1
BDM Assignment brief Sep16.pdf
1
London School of Business & Management
BTEC Levels 4 & 5 HND Business
Unit Outcomes Covered:
LO1. Be able to use a variety of sources for the collection of
data, both primary and
secondary
LO2. Understand a range of techniques to analyse data
effectively for business
purposes
LO3. Be able to produce information in appropriate formats for
decision making in an
organisational context
LO4. Be able to use software generated information to make
decisions in an
organisation
GRADING OPPORTUNITIES AVAILABLE
Outcomes/ Grade
Descriptors

AC1.1 AC1.2 AC1.3 AC2.1 AC2.2 AC2.3 AC2.4 AC3.1 AC3.2
AC3.3 AC3.4
√ √ √ √ √ √ √ √ √ √ √
Outcomes/ Grade
Descriptors
AC4.1 AC4.2 AC4.3 M1 M2 M3 D1 D2 D3
√ √ √ √ √ √ √ √ √
Assessor: Signature: ______________ Date: ___/___/___
Centre No 79829
Course Title HND Business
Unit No & Unit Title Business Decision Making
Assessor’s Name Kuldeep Pradhan
Assignment Title BDM Individual Assignment

Date Set 28th September 2016
Due Date 9th January 2017
Academic Year / Semester September 2016 Semester
2
Tutor Notes
Key Points:
v You should answer ALL questions in this assignment.
v Your assignment should be handed in by the deadline.
v The assignment must be your own work and original in all
answers to the tasks.
v You are expected to apply Harvard referencing system to
acknowledge any
secondary sources of information used to support your work in
the assignment.
v You will be expected to check spelling mistakes and grammar
before submitting your
work.
v The London School of Business and Management Cover sheet
should be used in every
submitted work.
v An appropriate report structure should be used with headings

that include: Table of
Contents, Introduction, Discussion/Evaluation, Conclusions,
References and
Appendices (if necessary).
v There should be clarity of expression in your work.
v Your work should demonstrate, for example, relevant factual
content and understanding
of the subject, critical analysis, evaluation, justifications, key
arguments, correct use of
appropriate models/framework etc.
Submission Regulations
1. “Assignment Front Cover Sheet” must accompany every
submitted work [Cover sheet is
available from our Virtual Learning Environment - Moodle].
2. Assignments must be submitted on or before the due date, via
Turnitin. Please refer to
Moodle for detailed assignment submission instructions.
3
Task 1:
LO1: Be able to use a variety of sources for the collection of
Scenario: You work as a research consultant and have been

approached by a
client. The client wishes to launch a new brand of coffee sachet
in London.
However, before a budget is made available for business setup,
the investors
wish to conduct research to understand the market dynamics.
The product available under the new brand will be based on
unique taste
(based on imports from African continent with fair-trade) and
will target both
men and women living in London area.
Requirement: In a report to the Board of Directors provide the
following:
• A plan for the collection of primary and secondary data
(covers AC1.1)
• Survey methodology and sampling frame to be used. (covers
AC1.2)
• A sample questionnaire to be used for the purpose of research.
(covers
AC1.3)
Guidelines: In your answer you should include a discussion on
what primary and
secondary data is required and how it should be collected. The
report should also
include a discussion on the suggested survey methodology and
the intended
sampling frame for best representativeness. You should also
include a sample
questionnaire (no more than 12 questions) that can be used to

conduct primary
research.
M1 can be achieved if the report reflects an effective;
sequenced, planned,
organised and structured approach used for research
This task covers assessment criteria 1.1, 1.2 and 1.3
4
Task 2:
LO2: Understand a range of techniques to analyse data
effectively
for business purposes
Scenario: Stephanie; the owner of a small store based in London
has realised the
importance of analysing the sales for the purpose of decision
making.
She has collected the following data over the last month and has
requested you to help
her with further analysis (use of various statistical techniques).
The following table presents the sales for varying price ranges:
Amount

Spent (£)
No. of
Orders
0.5 -10 7
10-20 9
20-30 12
30-40 14
40-50 16
50-60 17
60-70 16
70-80 15
80-90 8
90-100 6
Requirement:
• You are required to calculate the following (covers AC 2.1):
1. Mean
2. Median
3. Mode
Provide an analysis of your calculations and advise Stephanie
on the most popular
price of sales for the time-period along with relevant comments
on the measures
used for analysis. (covers AC 2.2)
• Calculate the following (using the above table) (covers AC
2.3):

1. Range
2. Standard Deviation
3. Lower quartile (25th percentile)
4. Upper quartile (75th percentile)
5. Inter-quartile range
5
Stephanie has also provided you with the following data:
Sales VS Temperature
20o £320
24o £411
11o £192
17o £259
9o £170
15o £243
25o £430
6. Calculate the correlation coefficient and comment on your
result. And
explain how quantiles and correlation coefficient help draw

useful
conclusions for her business. (covers AC 2.4)
M2 can be achieved if the theories and statistical techniques are
applied correctly
and accurately
D1 can be achieved if the conclusions are justified and have
been reached through
valid and proper analysis
This task covers assessment criteria 2.1, 2.2, 2.3 and 2.4
6
Task 3:
LO3: Be able to produce information in appropriate formats for
Scenario: You work as a management consultant for Graham
Consultants Limited.
The company has provided you with the following information:
Year
Sales (£’000) – All
Regions

All Costs - (Direct
and Indirect)(£’000)
Final
Profit(£’000)
2000 165 135 45
2001 185 125 65
2002 225 145 85
2003 235 145 95
2004 315 175 145
2005 335 175 165
2006 265 165 105
2007 245 145 105
2008 245 175 75
2009 255 155 105
2010 295 155 145
Requirement: You are required to produce:
• Line and Bar graphs using spreadsheets and draw valid
conclusions from
the graphs (covers AC 3.1)
• Trend lines using spreadsheets for sales, costs and profit
showing
forecast of 3 years for each. (covers AC 3.2 and AC 4.1)
Guidance: Your graphs (avoiding grey-scale) needs to be
presented on your word
document along with relevant details and commentary.
Requirement: Produce:

• A presentation on the sales, costs and profit (including the
trend lines) with
recommendations for the CEO. (covers AC 3.3)
• A formal business report for the Regional Managers that
includes a brief
explanation on the relationships between sales, costs and profit
across the
time period and benefits of forecasting. (covers AC 3.4)
M3 can be achieved if the report and presentation reflect the use
of correct
terminology and a range of presentational techniques used.
D2 can be achieved if the report shows evidence of a structured
approach towards
research and preparation of the report
This task covers assessment criteria 3.1, 3.2. 3.3, 3.4 and 4.1
7
Task 4:
LO4: Be able to use software generated information to make
decisions in an organisation
Scenario: You work as a project manager for QWM Investments
Limited. The senior
manager has provided you with the following information

(related to a new project):
Description Activity Preceding Activity (Days)
Preparation A - 6
Business Planning B A 4
Recruitment and Selection C A 38
Installation of peripherals D B 17
Initial Training E D 6
Design F E 11
Conversion G F 11
Development of Norms H C 4
Assessment I B 12
Continuous Testing J D 11
Policy documentation K G, H, I, J 22
Appraisal L K 22
Requirement (covers AC 4.2):
• Calculate the project duration.
• Identify the critical path.
Guidance: You need to use suitable software to present the
network diagram, clearly
illustrating the activities that are critical for the project to be
completed in time along with
accurate duration and relevant commentary about critical path.
This task covers assessment criteria 4.2

8
Task 5:
LO4: Be able to use software generated information to make
Scenario: The Board members of a local construction company
are planning to invest in a
new project. The company has the option to select from two
projects: Project Alistair and
Project Bromley.
You have been approached by the Board members to help them
with the appraisal of both
projects to provide them with recommendations.
The following data is provided, with the assumption of 10% as
the discount rate:
Year
Project Alistair
Cash flow (£)
Project Bromley
Cash flow (£)
Investment -300,000 -300,000
1 55,000 220,000

2 100,000 50,000
3 110,000 50,000
4 95,000 20,000
5 40,000 20,000
Requirement:
• Calculate the Payback, NPV and IRR for Project Alistair &
Project Bromley.
• Write a brief report for the Board members with your
recommendations on the
choice of the project, along with relevant commentary on the
tools used.
D3 can be achieved if the report produced reflects innovation;
complete analysis
and creative thought in deriving the recommendations
This task covers assessment criteria 4.3
9
Grading Criteria (Pass, Merit, Distinction)
Criteria for PASS Possible evidence

LO1 Be able to use a variety of
sources for the collection of
1.1 create a plan for the collection of primary and
secondary data for a given business problem
1.2 present the survey methodology and sampling frame
used
1.3 design a questionnaire for a given business problem
LO2 Understand a range of
techniques to analyse data
2.1 create information for decision making by
summarising data using representative values
2.2 analyse the results to draw valid conclusions in a
business context
2.3 analyse data using measures of dispersion to inform a
given business scenario
2.4 explain how quartiles, percentiles and the correlation
coefficient are used to draw useful conclusions in a
business context
LO3 Be able to produce
information in appropriate
formats for decision making
in an organisational context
3.1 produce graphs using spreadsheets and draw valid
conclusions based on the information derived
3.2 create trend lines in spreadsheet graphs to assist in
forecasting for specified business information
3.3 prepare a business presentation using suitable

software and techniques to disseminate information
effectively
3.4 produce a formal business report
LO4 Be able to use software generated
information to make decisions in an
organisation
4.1 use appropriate information processing tools
4.2 prepare a project plan for an activity and determine the
critical path
4.3 use financial tools for decision making
10
Grade Descriptors for MERIT Possible Evidence
M1 Identify and apply strategies to
find appropriate solutions
M1 An effective approach to research has been
applied
M2 Select / design appropriate

methods / Techniques
M2 Relevant theories and techniques have been
applied.
M3 Present and communicate
appropriate findings
M3 A range of methods of presentation and correct
terminology have been used.
Grade Descriptors for
DISTINCTION
Possible Evidence
D1 Use critical reflection to
evaluate own work and justify valid
conclusions
D1 Conclusions have been reached through
combination of analysis and have been justified.
D2 Take responsibility for
managing and organising activities
D2 Show evidence of a structured research process
for the report and The Harvard referencing system
has been used competently to build and present
accurate data for Source material. (throughout the
assignment)

D3 Demonstrate
convergent/lateral/ creative
thinking
D3 Innovation and creative thought have been
applied in the report.
BDM Module specification.docx
BTEC Module Specs 2014-15
Business Decision Making
MODULE SPECIFICATION
(Implemented in line with the Qualifications and Credit
Framework (QCF) and the Framework for Higher Education
Qualifications (FHEQ) in England, Wales and Northern Ireland)

Contents
Aims of the Unit 3
Unit abstract 3
Learning outcomes 3
Unit Content 4
Learning Outcomes and Assessment Criteria 5
Teaching, Learning and Assessment Plan 7
Formative and Summative Assessment – Rationale 7
Links 9
Essential Reading 9
Recommended Reading 9
Books 9
Electronic Sources 9
Employer engagement and vocational contexts10
Unit Name: Human Resource Management
Pearson Unit Code: D/601/0578
Module Leader:
Credit Value: 15 Credits
Pearson Unit Number: Unit 6
Module Description
QCF Level: Level 5
BTEC Programme Specification: Core Module
LSBM Programme Specification: (ALL LSBM modules for HND
programmes are COMPULSORY)
LSBM Delivery Year and Semester: HNC (Year Two),
Semester One Aims of the UnitThe aim of this unit is to give

learners the opportunity to develop techniques for data
gathering and storage, an understanding of the tools available to
create and present useful information, in order to make business
decisions Unit abstractIn business, good decision making
requires the effective use of information. This unit gives
learners the opportunity to examine a variety of sources and
develop techniques in relation to four aspects of information:
data gathering, data storage, and the tools available to create
and present useful information. ICT is used in business to carry
out much of this work and an appreciation and use of
appropriate ICT software is central to completion of this unit.
Specifically, learners will use spreadsheets and other software
for data analysis and the preparation of information. The use of
spreadsheets to manipulate of numbers, and understanding how
to apply the results, are seen as more important than the
mathematical derivation of formulae used. Learners will gain
an appreciation of information systems currently used at all
levels in an organisation as aids to decision making.
Learning outcomes
1 Be able to use a variety of sources for the collection of data,
both primary and secondary
2 Understand a range of techniques to analyse data effectively
3 Be able to produce information in appropriate formats for
4 Be able to use software-generated information to make
Unit Content
1 Be able to use a variety of sources for the collection of data,
both primary and secondary
Primary sources: survey methodology; questionnaire design;

sample frame; sampling methods; sample error Secondary
sources: internet research; government and other published data;
by-product data Storage: security of information; data
protection issues; ethical issues
2 Understand a range of techniques to analyse data effectively
Representative values: mean, median, mode; calculation from
raw data and frequency distributions using appropriate software;
using the results to draw valid conclusions Measures of
dispersion: standard deviation for small and large samples;
typical uses (statistical process e.g. control, buffer stock levels)
Calculation: use of quartiles, percentiles, correlation coefficient
3 Be able to produce information in appropriate formats for
Creation and interpretation of graphs using spreadsheets: line,
pie, bar charts and histograms Scatter (XY) graphs and linear
trend lines: extrapolation for forecasting (reliability)
Presentations and report writing: use of appropriate formats;
presentation software and techniques
4 Be able to use software-generated information to make
Management information systems: computers and information
processing tools for operational, tactical and strategic levels of
the organisation
Project management: networking and critical path analysis,
Gantt and Pert charts
Financial tools: net present value; discounted cash flow;
Learning Outcomes and Assessment Criteria

Grade Descriptors for MERIT
Possible Evidence
M1 Identify and apply strategies to find appropriate solutions
M1 An effective approach to study and research has been
applied in producing the required work
M2 Select / design appropriate methods / Techniques
M2 Selection of methods, techniques and sources has been
justified.
Harvard referencing format has been correctly applied in both
citations and the reference list
M3 Present and communicate appropriate findings
M3 An appropriate structure and approach has been used in
producing the required work
Grade Descriptors for DISTINCTION
Possible evidence
D1 Use critical reflection to evaluate own work and justify
valid conclusions
D1 Analysis shows critical reflection, and conclusions have
been arrived at through synthesis of ideas that are well justified
D2 Take responsibility for managing and organising activities
D2 Independence has been demonstrated in planning and
organising the research and writing of the work produced and
presented.
Harvard referencing format has been competently applied in
both citations and the reference list
D3 Demonstrate convergent/lateral/ creative thinking
D3 Problems have been solved demonstrating creative
application of appropriate theories and academic frameworks in

the analysis to illustrate the points made
Teaching, Learning and Assessment Plan
Teaching and Learning Plan
Teaching Hours per Semester – In Class Lessons
12 Hours
Tutorial Hours per Semester – In Class Sessions
24 Hours
Self-Study Hours
60 Hours
Assessment Hours – Formative & Summative
54 Hours
Total
150 Hours
Assessment Plan
Formative Assessment – Tutorial Activities
Ongoing – In class during tutorials
Summative Assessment - End of Semester
Coursework
Formative and Summative Assessment – Rationale
This module will utilise both summative and formative
assessments.
Coursework will be the only summative assessment to be given
to students at the beginning of the semester. Students will be
expected to complete the Coursework and submit it in Turnitin
on Moodle (Virtual Learning Environment) at the end of the
semester. The formative assessment will take various forms that
include presentations, case study analysis, research based
activities and short exercises carried out individually or in
small groups throughout the semester in tutorial sessions.
The summative assessment (Coursework) will expect students to
demonstrate their ability to use a variety of sources for the
collection of data, both primary and secondary. Students will
also be assessed on their understanding of a range of techniques
to analyse data effectively for business purposes. Students will
be required to produce and present information in appropriate
formats for decision making in an organisational context, and

demonstrate ability to use software-generated information to
make decisions in an organisation.
Assessment is as essential as the provision of a learning
experience, and the assignment is one of the significant
assessment tools for several reasons as outlined below.
· It provides the scope for the evaluation of the extent to which
all the learning outcomes and assessment criteria have been
achieved.
· Through constructive and supportive feedback students are
given adequate opportunities to improve their work so as to
achieve the standard required.
· The grade descriptors enable students to achieve the desired
grading. Assignment provides students the opportunities to
develop their research skills which are essential in today’s
business and management contexts.
· Students are able to review the work of several scholars and to
assess their merits and limitations. It provides opportunities for
the students to improve their level of scholarship in writing
academic essays.
· Contrary to time constrained assessments which require
students to regurgitate information, the written assignment
provides opportunities for students to apply the learning to real
work situations.
· Moreover, it enables students to demonstrate their analytical
and critical thinking abilities which are critical in today’s
business and management contexts.
· Assignment is a very effective instrument because it enables
assessors to make objective assessment of students’ work based
on evidence produced.
· Lastly, it provides opportunities for students to take
responsibility of their learning to become independent learners
so that they can continue to learn and develop throughout their
professional lives.
Links
This unit is should be linked to the other core units in the
programme in particular: Unit 1: Business Environment, Unit 2:

Managing Financial Resources and Decisions; Unit 7: Business
Strategy and Unit 8: Research Project.
There are also links with other specialist units such as Unit 16:
Managing Communications, Knowledge and Information; Unit
19: Marketing Planning
Essential requirements
It is essential that learners have access to computers and the
internet and specialist packages for statistical analysis and
network planning.Essential Reading
(e-Text available on Moodle)Recommended Reading
Electronic Sources1. Times 100:
http://businesscasestudies.co.uk2. The Harvard Business Review
Employer engagement and vocational contexts
Centres can develop links with local employers. Many
businesses and chambers of commerce are keen to promote local
business and are often willing to provide visit opportunities,
guest speakers and information about business and the local
business context.
Examples include:
www.businessbritainuk.co.uk
Provides information about business in Britain and has
extensive links to other business and business news sites.
www.fsb.org.uk
The Federation of Small Businesses provides information,
support and guidance about small businesses in the UK.
8
BDM Scheme of Work_1.doc
Scheme of Work
BTEC HND in Business

Module Title: Business Decision Making (BDM)
September 2016 Semester
Module Leaders: Kuldeep Pradhan
Module Lecturers:
Nooreen Jafferkhan
Kuldeep Pradhan
Aims:
The aim of this unit is to give learners the opportunity to
develop techniques for data gathering and
storage, an understanding of the tools available to create and
present useful information, in order to
make business decisions
Learning Outcomes:
LO1 Be able to use a variety of sources for the collection of
LO2 Understand a range of techniques to analyse data
LO3 Be able to produce information in appropriate formats for
LO4 Be able to use software-generated information to make
Delivery:
This unit will be delivered through a combination of different
methods that mainly include formal lectures (1 hour) and

seminars (2hours). The lecture sessions will normally introduce
the topics, and will be largely tutor-led. Seminars are designed
to allow for in-depth discussion on the lecture topic, and
provides opportunities for students to understand in more detail
the linkages between the lecture content and the assessment for
the module. During seminars, several methods and techniques
that can be applied may include question and answer, group
discussions and short presentations based for example on
scenarios, video-clips and case study material.
Assessment:
The assessment for this module will take the form of an
“Individual Assignment” which will be scenario based over a
number of tasks. The tasks presented will cover learning
Outcomes (LO1 – LO4), and will be designed to evaluate
students’ understanding of the module content.
A completed assignment must provide evidence reflecting that
students have understood and can use the information they have
studied on the course. The evidence should meet all the
assessment criteria and presented in a manner that helps
students to receive at least a PASS grade, in order to succeed in
the Module.
Essential Reading:
E-text book on Moodle:
Newbold P, Carlson William L, Thorne B, Statistics for
Business and Economics: Global Edition.
8th edition, Thomson Publications
Recommended Reading: Electronic Sources
1. Times 100: http://businesscasestudies.co.uk2. The Harvard
Business Review
3. Journal of Strategic Management

Websites:
www.businessweek.com
www.ft.com
Week Number
Lecture Topics
Duration: One hour
Seminar Topics
Duration: 1st Hour
Seminar Topics
Duration: 2nd Hour
Objectives of the Sessions
Week 1
Topic 1: Introductory session:
-Overview of Learning
Outcomes and Assessment criteria
-Overview of Assessment method teaching structure (Lectures &
Seminars), Scheme of Work
Health and Safety & Housekeeping
Formative & summative Assessment plans and structure
explained

-Reading & Research expectations
Plenary discussion;
Group discussions;
Presentations;
Scenarios, Case study examples;
Videoclips/demonstrations,
To introduce key aspects of the module:
-Learning Outcomes and Assessment Criteria
-Overview of Assessment methods delivery structure (Lectures
& Seminars)
Week 2
Be able to use a
the collection of data,
both primary and
secondary
Primary sources:
survey methodology;

questionnaire design;
sample frame;
sampling
methods; sample error
Secondary sources:
internet research;
government and other
published data; byproduct data
Storage: security of
information; data
protection issues;
ethical issues
Assignment Brief issued
-Discuss research and
the types of research
-Discuss various
methods of research
- Discuss sampling
-Secondary sources
-Primary sources

-Data security issues
Assignment Brief
Discussion on
questionnaires
-Survey
methodologies
create a plan for the
collection of
primary and
secondary
data for a given
business problem
present the survey
methodology and
sampling frame
used
design a
questionnaire for a

given business
problem
LO1(AC1.1)
Be able to use a
the collection of
data, both primary
and
secondary
Week 3
business purposes
Representative values:
mean, median, mode;
calculation from raw
data and frequency
distributions using

appropriate software;
using the results to
draw valid
conclusions
Discussion on
-Mean
-Median
-Mode
-Introduction to using
MS Excel
- Assignment Brief
Calculation of mean
Calculation of
median
Calculation of
mode
Use of Excel
LO2
Understand a range

of techniques to
analyse data
effectively for
business purposes
Week 4
business purposes
Measures of
dispersion: standard
deviation for small and
large samples; typical
uses (statistical
process eg control,
buffer stock levels)
Discussion on:
-Dispersion
-Standard deviation
-Variance

- Assignment Brief
Calculation of
dispersion
Calculation of
standard deviation
Calculation of
variance
LO2
Understand a range
of techniques to
analyse data
effectively for
business purposes
Week 5
business purposes
Calculation: use of
quartiles, percentiles,

correlation coefficient
Discussion on:
-Quartiles
-Percentiles
-Correlation Coefficient
- Assignment Brief
Calculation of
quartiles
Calculation of
percentiles
Calculation of
correlation
coefficient
LO2
Understand a range
of techniques to
analyse data
effectively for
business purposes
Week 6

Be able to produce
information in
appropriate formats
an organisational
context
Creation and
interpretation of
graphs using
spreadsheets: line,
pie, bar charts and
histograms
Interim Progress Check
-Discussion on graphs
-Types of graphs
-Usage of graphs
-Pie charts, bar charts,
histograms

-Use of excel
- Assignment Brief
Drawing graphs on
MS Excel
Use of graphs and
interpreting graphs
Writing reports
LO3
Be able to produce
information in
appropriate formats
for decision making
context
Week 7
Be able to produce
information in
appropriate formats

an organisational
context
Scatter (XY) graphs
and linear trend lines:
extrapolation for
forecasting (reliability)
Presentations and
report writing: use of
appropriate formats;
presentation software
and techniques
Discussion on:
- Trend Lines
-Forecasting and its
benefits
-Presentations and
Report writing
- Assignment Brief
- Using Excel to

draw graphs
-Using Excel for
trendlines
-Using Excel for
forecasting
-Report wriring
LO3
Be able to produce
information in
appropriate formats
for decision making
context
Week 8
Be able to use
software-generated
information to make
decisions in an
Organisation

Management
information systems:
computers and
information
processing tools for
operational, tactical
and strategic levels of
the organisation
Project management:
networking and critical
path analysis, Gantt
and Pert charts
Discussion on:
- Management
Information System
-Information needs at
various levels within the
organisation
- Project management:

Network analysis and
critical path analysis
- Assignment Brief
- Use of
management
information
systems
-Importance with
regards to decision
making
-Network analysis
-Critical path
analysis
LO4
Be able to use
software-generated
information to make
decisions in an
Organisation

Week 9
Be able to use
software-generated
information to make
decisions in an
organisation
Financial tools: net
present value;
discounted cash flow
Discussion on:
-Investment appraisal
techniques;
-Payback period
-Discounted cashflow;
-Net present value
- Assignment Brief
-Calculation of
payback period
-Calculation of net
present value

LO4
Be able to use
software-generated
information to make
decisions in an
organisation
Week 10
Be able to use
software-generated
information to make
decisions in an
organisation
Discussion on
-Internal Rate of return
- Assignment Brief
-Calculation of
Internal Rate of
return
LO4

Be able to use
software-generated
information to make
decisions in an
organisation
Week 11
Revision and
Preparation for submission
Revision & surgery session
Discussion, feedback and preparation for submission
Revision, feedback on student progress and preparations for
submission
Make final check on student progress and prepare them for
submission
Week 12
Assignment submission
4

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