Research Methods, Data Analytics and Project Planning (BUSS-B 2012)
LO Covered
1. Design a project plan for business improvement.
2. Execute reliable research on business processes and other phenomenon.
3. Distinguish the different distributions in statistics.
Instructions to Student:
? Answer all questions.
? Deadline of submission: 09/06/2020 23:59
? The marks received on the assignment will be scaled down to the actual
weightage of the assignment which is <50> marks
? Formative feedback on the complete assignment draft will be provided if the
draft is submitted at least 10 days before the final submission date.
? Feedback after final evaluation will be provided by 27/06/2020
Context of Case Study
SINDBAD Logistics is one of the reputed logistic company in Oman. When a customer submits the
order list to Order Processing Department then Order Processing Department forward the order
lists to material handling department. The material handling department checks the order list. If the
order lists specifications are correct, then order lists will be forwarded to Purchase department and
if the order lists specifications are not correct, a rejection documents will be prepared. A copy of
rejection document also will be sent to material handling department and order processing
department.
After receiving the order list from material handling department, the purchase department checks
the availability of material for productions. If the material is available, order list will be sent to
Production department for producing the items. If the material is not available, The order list will be
sent to finance department. If the finance is approved, material will be purchased and these material
sent to production department for producing items. At the same time purchased materials bill
document will be prepared and a copy of bill will be sent to Finance department. After receiving the
order, the production department checks for the storage space availability. If the storage space is
`
IN SEMESTER (INDIVIDUAL) ASSIGNMENT
Module Code: BUSS-B 2012 Module Name: Research Methods, data Analytics and PP
Level: 2 Max. Marks: 100
Research Methods, Data Analytics and Project Planning (BUSS-B 2012) Spring 20 CW1 QP
MEC_AMO_TEM_034_01 Page 2 of 10
available, then item will be produced. If the storage space is not available, then production will be
delayed and information will be sent to order processing department. After creating the additional
space, item will be produced.
After producing the item, production department checks for delivery time. If the delivery time is
short, item will be sent to warehouse department and stored in High rotation area. If the delivery time
is long, then also item will be sent to warehouse department, but stored in Low rotation area. Dispatch
list document will be prepared. At the same time, dispatch list also forwarded to Transportation
department and Order Processing Department.
On receiving the dispatch list, Transportation department checks for availability of internal transport.
If internal transport is available, item will be delivered to customer. It internal transportation is not
available, external transport will be hired and then item will be delivered to the customer. On delivery
of items to the customer, delivery note will be prepared and copy of delivery note will also be sent
to Order processing department.
With reference to above context
Q 1. Develop One process map and one Gantt chart for the entire process described
in the above mentioned case study. (30 Marks)
Use, only the following symbols in your process map.
Q 2. Imagine / Assume that you have visited and studied the market. Based on
assumption, select a company/process of your choice and perform the following task
(40 Marks)
a) Write a paragraph on description about the company /process / scenario
selected for the questionnaire.
? Alternatively you can also select one of the department and its process from
the above mentioned case study and discuss elaborately about it.
b) Develop Ten questions covering all the measuring areas for the selected
process.(Example fueling process, shopping process, queuing process in the
municipality office, ordering process in the canteen, milking cows etc.).
Start / Stop Process Decision Prepare Document
Conne
ctor
Research Methods, Data Analytics and Project Planning (BUSS-B 2012) Spring 20 CW1 QP
MEC_AMO_TEM_034_01 Page 3 of 10
? Alternatively you can also select departments / processes in the above
mentioned case study for designing the questionnaire.
? The question must cover minimum one each from Nominal, Ordinal, Ratio,
Interval and Dichotomous measurements.
? The questionnaire design must be logical, meaningful and must facilitate
you to do proper data analysis.
c) Identify and clearly mention, which types of measurements is applied to each
questions.
Q 3. Develop excel tables with data (based on assumptions) for each questions.
Discuss/apply/demonstrate various Statistical Tests /Reliability Tests (minimum
THREE), which can be applied to the questions designed in Q2(b). (30 Marks)
You are required to develop a report (1200-1500 words) not exceeding 1500 words, which
comprises of the answers to the above questions. The compiled report also to be included
with introduction, conclusion and references.
Documentation Requirements
? Adopt academic conventions appropriate to a higher degree
? Avoid cut & paste model solutions
? Preferably, use free and open source software for project planning
? Follow MEC policies, sign and submit relevant documents for data/information
collections.
? Dont breach company confidentiality
? Pay close attention to assessment weighting and allocate your effort proportionately
? Use MEC LMS Moodle materials for peer and tutor support
? Try to submit coursework as a single piece, preferably in Microsoft Word or Adobe
PDF format.
Note : ? Soft copy of the final document after plagiarism check must be uploaded through
Moodle, on or before 09th June 2020.
? Student Declaration Form Must be pasted and Uploaded along with the
Assignments.
Criteria
The assignment will be assessed out of 100 marks using the following criteria. The
Research Methods, Data Analytics and Project Planning (BUSS-B 2012) Spring 20 CW1 QP
MEC_AMO_TEM_034_01 Page 4 of 10
marks awarded would be then scaled to 50.
Rules & Regulations
Rules & Regulations:
All resources should be cited using CU Harvard style.
? The final assignment must have a Title page, Table of Contents, References/ bibliography using
CU Harvard Style and page numbers.
? Title Page must have Assignment Name, Module name, Session, your name, ID, and the name
of the faculty.
? Softcopy in word format is to be submitted through Turnitin link on Moodle.
Guidelines:
? Assignment must be computer typed.
? Font – Times New Roman
? Font Style – Regular
? Font – Size – 12
? Heading should be with Font Size 14, Bold, Capital and Underline.
? Explain with suitable diagrams wherever required. Diagrams must be drawn using suitable
software or by pencil.
? Each student has to do the assignment individually / Students have to do the assignment
collaboratively and each student should write a brief reflection on their contribution and
learnings from group work.
? You can refer books in eLibrary or use internet resource. But you should not cut and paste
material from internet nor provide photocopied material from books. The assignment answers
should be in your own words after understanding the matter from the above resources.
Important Policies to be followed
1. Student Academic Integrity Policy*:
MEC upholds the spirit of academic integrity in all forms of academic work and any form of
violation of academic integrity shall invite severe penalty. Any benefit obtained by indulging in
the act of violation of academic integrity shall be cancelled.
All cases of violation of academic integrity on the part of the student shall fall under any of the
below mentioned categories:
1. Plagiarism
2. Malpractice
3. Ghost Writing
Research Methods, Data Analytics and Project Planning (BUSS-B 2012) Spring 20 CW1 QP
MEC_AMO_TEM_034_01 Page 5 of 10
4. Collusion
5. Other cases
If the student fails a module and has a proven case of academic integrity violation in this module,
the student is required to re-register the module. This is applicable to first and second offenders
of plagiarism.
1. Plagiarism
A. First offence of plagiarism
I. If a student is caught first time in an act of plagiarism during his/her course of study
in any assignment other than project work, the student will be allowed to re-submit
the assignment once, within a maximum period of one week. However, a penalty of
deduction of 25% of the marks obtained for the resubmitted work will be imposed.
II. Period of re-submission: The student will have to re-submit the work one week from
the date he or she is advised to re-submit.
III. If the re-submitted work is also found to be plagiarized, then that assessment will be
awarded a zero mark. Re-submission of the work beyond the maximum period of one
week will not be accepted and the assessment will be awarded a zero mark.
B. Second offence of plagiarism
If any student is caught second time in an act of plagiarism during his/her course of study (in
a subsequent semester), the student will directly be awarded zero for the work in which
plagiarism is detected. In such cases, the student will not be allowed to resubmit the work. A
warning of suspension shall be issued, and student has to sign an undertaking and undergo
counselling session in such cases.
2. Malpractice/Ghostwriting/Collusion
A. First offence of Malpractice/Ghostwriting/Collusion
If a student is caught in an act of Malpractice/Ghostwriting/Collusion for an
assessment component irrespective of coursework or end semester, the student shall
fail the module and shall be required to re-register the module
B. Second Offence of Malpractice/Ghostwriting/Collusion
If a student is caught a second time in an act of Malpractice/Ghostwriting/Collusion
for an assessment component irrespective of coursework or end semester, the
student shall fail the module. A warning of suspension shall be issued, and student
has to sign an undertaking and undergo counselling session in such cases.
3. Third Offence of Academic Integrity Violation
If a student is caught a third time in an act of Academic Integrity Violation for an assessment
component irrespective of coursework or end semester (in a subsequent semester), the student
shall fail the module and also shall be suspended for one semester from the College, as
recommended by institutional level academic committee, Chaired by the Associate Dean,
Academic Affairs.
4. Fourth Offence of Academic Integrity Violation:
Research Methods, Data Analytics and Project Planning (BUSS-B 2012) Spring 20 CW1 QP
MEC_AMO_TEM_034_01 Page 6 of 10
If a student is caught a fourth time in an act of Academic Integrity Violation for an assessment
component irrespective of coursework or end semester (in a subsequent semester), the student
shall fail the module and also shall be expelled from the College, as recommended by institutional
level academic committee, Chaired by the Associate Dean, Academic Affairs.
5. Other cases
If a student commits an act of academic integrity violation as per the definition of other cases
mentioned in the previous section or of a different nature, students case shall be forwarded to
an institutional level academic committee, Chaired by the Associate Dean, Academic Affairs. The
committee shall investigate the case by means of a viva and/or a disciplinary hearing and shall
take appropriate decision. The penalty that can be granted to a proven case of academic integrity
violation which falls in this category of other cases can be a warning/component zero/ module
fail/suspension/expulsion depending on the nature and gravity of the offence.
6. Types/Variations of Cases:
I. If plagiarism is detected in any component of one assessment, the deduction in marks will be
applicable for the whole assessment, even if only the component or part submission alone
needs to be resubmitted.
II. If plagiarism is detected in a group assessment, all students of the group will be considered as
having committed an act of plagiarism and the policy will then be applied to all students
III. If plagiarism is detected in any component of a group assessment, the deduction in marks will
be applicable for the whole assessment even if only the component or part submission alone
needs to be resubmitted.
All students of the group would be considered as having committed an act of plagiarism and
the policy will then be applied to all the students of the group.
IV. If the assessment consists of components or part submissions that could be a group
assessment component (e.g. group assignment) and an individual assessment component
(e.g. individual reflection), the following will be applicable:
a. If plagiarism is detected in the group assessment component, all students of the group
will be considered as having committed an act of plagiarism, The policy will then be
applied to all students of the group. Group assessment component will be
resubmitted as per the policy.
b. If plagiarism is detected in the individual assessment component, the individual
assessment component will be resubmitted and the policy will then be applied to that
student alone.
c. For both (a) and/or (b), the deduction in marks will be applicable for the whole
assessment.
* for further details Refer to MEC Student Academic Integrity Policy in Student Handbook.
2. Late Submission Regulations:
It is the students responsibility to check all relevant timelines related to assessments.
As per the Assessment Policy at MEC, late submissions are allowed for one week (5 working
days) for all UG modules with a penalty. In such cases, a deduction of 5% of the marks obtained
for the submitted work shall be imposed for each working day following the last date of
Research Methods, Data Analytics and Project Planning (BUSS-B 2012) Spring 20 CW1 QP
MEC_AMO_TEM_034_01 Page 7 of 10
submission till the date of actual submission. Assessment documents submitted beyond a
period of one week (5 working days) after the last date of submission will not be accepted and
will be awarded a zero for that assessment. In cases where the submission has been delayed
due to extenuating circumstances, the student may be permitted to submit the work without
imposing the late submission policy stated above. The extended period of submission will be
one week from the original last date of submission. In such cases, the student is expected to
submit the supporting certificates on or before the original last date of submission of the
assessment and the decision of extension rests with faculty responsible for the assessment
.The late submission policy shall be applied if the student fails to submit the work within one
week of the original last date of submission.
Students may contact their teachers for clarification on specific details of the submission
time if required.
3. Research Ethics and Biosafety Policy
To protect and respect the rights, dignity, health, safety, and privacy of research subjects
involved including the welfare of animals and the integrity of environment, all student projects
are expected to be undertaken as per the MEC Research Ethics and Biosafety Policy.
Accordingly the following shall apply.
? Research and other enterprise activities shall be conducted by maintaining the high ethical
standards consistent with national and international standards and conventions.
? Any research at MEC that is categorized as high-risk research shall be subject to review and
approval by the Research Ethics and Biosafety Committee.
? Research activities involving collection of human or animal tissues and manipulation of
microbial, animal or plant cells shall be subject to review and approval by the Research Ethics
and Biosafety Committee.
? Participants involved in research must be informed about the purpose of research and
intended uses of research findings. Written consent must be obtained from people involved
prior to the commencement of research.
? Data obtained from participants must be treated with high confidence and should be used
only for the intended purpose of research.
Assessment Evaluation Criteria
Classification
And % Range
analysis. Knowledge and
Understanding/
Application of Theory Evidence of Reading Referencing and
Bibliography Presentation, Grammar
and Spelling
Outstanding
Highly competent
analytical skills and
reflective practice,
demonstrating personal
learning and growth,
insight into required
professional values and
principles and
professional development
planning.
Extensive knowledge and
depth of understanding of
principles and concepts
and /or outstanding
application of theory in
practice.
Evidence of reading an
extensive range of
educational
literature/research and
where applicable
workplace strategies,
policies and procedures.
Accurate referencing and
bibliography correctly
using appropriate
referencing style
Excellent presentation,
logically structured, using
correct grammar and
spelling, excellent cross-
referencing and links to
supporting evidence
Excellent
Strong analytical skills and
reflective practice used,
demonstrating personal
learning and growth,
insight into required
professional values,
Excellent knowledge and
understanding of
principles and concepts
and /or excellent
knowledge and
understanding of the
Evidence of reading a wide
range of educational
literature/research and
where applicable,
workplace strategies,
policies and procedures.
Appropriate referencing
and bibliography correctly
using appropriate
referencing style
Good presentation,
competently structured,
using correct grammar
and spelling, clear and
easy to use links to
supporting evidence
Research Methods, Data Analytics and Project Planning (BUSS-B 2012) Spring 20 CW1 QP
MEC_AMO_TEM_034_01 Page 8 of 10
principles and
competencies and
professional development
planning.
application of theory in
practice
Very Good Quality
Good use of analytical
skills and reflective
practice demonstrating
personal learning and
growth, insight into
required professional
values, principles and
competencies and
professional development
planning.
Good knowledge or key
principles and concepts
and/or good knowledge of
the application of theory
in practice
Evidence of reading a good
range of educational
literature/research and
where applicable
workplace strategies,
policies and procedures.
Generally well referenced
with correct use of the
appropriate referencing
style
Reasonable presentation,
completely structured,
acceptable grammar and
spelling, acceptable links
to supporting evidence
Good (Acceptable)
Acceptable use of
analytical skills and
reflective practice
demonstrating personal
learning and growth,
insight into required
professional values,
principles and
competencies and
professional development
planning.
Acceptable knowledge of
key principles and
concepts and/or
knowledge of the
application of theory in
practice
Evidence of reading an
appropriate range of
educational
literature/research and
where applicable, relevant
workplace policies and
procedures
Adequate referencing.
Generally accurate use of
appropriate referencing
style
Adequate presentation
and structure, acceptable
grammar and spelling,
adequate links to
supporting evidence
Adequate/ Satisfactory
Adequate use of analytical
skills and reflective
practice demonstrating
personal learning and
growth, insight into
required professional
values, principles and
competencies and
professional development
planning.
Adequate knowledge of
key principles and
concepts and/or
satisfactory evidence of
the application of theory
in practice.
Evidence of minimal
reading of educational
literature/research and
where applicable relevant
workplace policies and
procedures
Adequate referencing.
Appropriate referencing
style used but may
contain some
inaccuracies.
Weak presentation ,
satisfactory structure,
grammar and spelling,
links to supporting
evidence
Weak /Poor
(all learning outcomes not
adequately met)
Little use of analytical
skills and reflective
practice demonstrating
personal learning and
growth, insight into
required competencies
and/or professional
development planning.
Professional values and
principles not reflected in
the submission.
and/or
Insufficient/no use of
analytical skills and
reflective practice
demonstrating personal
learning and growth,
insight into required
competencies and
professional development
planning
Little evidence of
knowledge of key
principles or concepts
and/or little evidence of
the application of theory
in practice
and/or
No evidence of knowledge
of key principles or
concepts and/or no
evidence of application of
theory in practice
Little or no evidence of
reading outside of the
course textbook and/or
reference to relevant work
place policies and
procedures
and/or
No evidence of reading
outside of the course
textbook and/or reference
to relevant workplace
policies and procedures
Little or no referencing,
incorrect style, or very
inaccurate use of
appropriate referencing
style
Poor presentation,
grammar and spelling,
links to supporting
evidence
and/or
Unacceptable
presentation, grammar
and spelling, structure is
very poor, links to
supporting evidence
Assessment Grading Criteria
90-100%
Outstanding
Focused and comprehensive engagement with the question, showing evidence of in- depthunderstanding of the issues. Extremely clearly structured and demonstrating a coherent argument throughout. Evidence of wide, independent reading.
No obvious errors in referencing or grammar or syntax as appropriate.
80-89%
Excellent
Detailed identification of the issues with evidence of clear understanding of the issues. Well-structured with evidence of independent reading supporting the argument. Very few errors in referencing or grammar or syntax as appropriate.
Research Methods, Data Analytics and Project Planning (BUSS-B 2012) Spring 20 CW1 QP
MEC_AMO_TEM_034_01 Page 9 of 10
70-79%
Very good
Identification and very good understanding of issues in the assessment. Full answers to allque stions/task. Very clear argument with relevant examples used to illustrate response. Clear evidence of reading outside the module list.
Few errors in referencing or grammar or syntax as appropriate.
60-69 % Good
Good understanding of the issues. Engages directly with the question. Clear argumentwith g ood examples used to support it. All main points and important issues of the question/task covered. Some evidence ofreading o utside the module list
Some small repeated errors in referencing or grammar or syntax as appropriate
50-59%
Competent
Generally sound understanding of basic theory and concepts. Content relevant to thequestion/task. Competently deals with main issues. Reading based on main texts ormaterials, but not always fully utilised in supporting argument.
Some repeated errors in referencing or grammar or syntax as appropriate.
30- 49%
Retrievable fail
Some learning outcomes and / or assessment criteria not met.
Superficial treatment of issues. Some
is relevant to topic set. Material merely repeatstaught input. Lacks understanding of basic th
eory or concepts. Possible use of extensive quoted passages.
Evidence of sufficient grasp of learning outcomes to suggest that the participant will be
able to retrieve the module on resubmission.
20-29% No learning outcomes fully met. Little evidence of attempts to engage with module materials.
10-19% Little attempt to engage with assignment brief and has not met learning outcomes.In adequate demonstration of knowledge or understanding of key concepts, theories or practice.
0-9% No real attempt to address the assignment brief or learning outcomes
Research Methods, Data Analytics and Project Planning (BUSS-B 2012) Spring 20 CW1 QP
MEC_AMO_TEM_034_01 Page 10 of 10
BUSS-B 2012 Research Methods, Data Analytics and Project Planning – Case Study
ID NO. __________________ NAME : ______________________________________
Deliverables Aspects 0-4 5-20 21-30 Mark
Q. 1 Process Map and Gantt chart
Poor demonstration of Process Map /
Gantt chart
No proper sequence followed
Satisfactory / Good illustrations and demonstrations of Process Map / Gantt chart However few Key task identification and integration needs improvements. Few components of Process Map / Gantt chart can be improved.
Very Good / Excellent illustration and demonstrations of Process Map / Gantt chart Most / all key components are identified and properly integrated.
Deliverables Aspects 0-4 5-30 31-40 Mark Q. 2 Description,
Questions development
covering measurement
and Measurement
types
Poor Description and
Poor compilation of Questions.
Questions are not
relevant
Measurements not discussed
Satisfactory / Good compilation descriptions. Satisfactory / Good compilation of few questions. Satisfactory / Good compilation of measurements However few questions needs improvements.
Very Good / Excellent compilation of descriptions Very Good / Excellent compilation of most of the questions / all questions and questions were as per measurement rules. Questions developed are as per guidelines and questions are relevant to the measurements and measurement type mentioned.
Deliverables Aspects 0-4 5-20 21-30 Mark
Q. 3 Discussion about
Statistical Distributions/T
ests
Poor compilation of discussion about
measurements/distr ibution / tests. Discussion not
relevant to the case study
Satisfactory / Good discussion about data types, measurements and statistical distributions/tests. Few discussions needs improvements.
Very Good / Excellent discussion about data types and measurements. Very Good / Excellent discussion about various statistical distributions/tests.
Signature of Evaluator
Total Marks
Penalty
Final Marks
Comments
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