Research Methods, Data Analytics and Project Planning

Research Methods, Data Analytics and Project Planning (BUSS-B 2012) Spring 20 CW1 QPMEC_AMO_TEM_034_01 Page 1 of 10LO Covered1. 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: 09/06/202023:59The marks received on the assignment will be scaled down to the actualweightage of the assignment which is <50> marksFormative feedback on the complete assignment draft will be provided if thedraft 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 theorder list to Order Processing Department then Order Processing Department forward the orderlists to material handling department. The material handling department checks the order list. If theorder lists specifications are correct, then order lists will be forwarded to Purchase department andif the order lists specifications are not correct, a rejection documents will be prepared. A copy ofrejection document also will be sent to material handling department and order processingdepartment.After receiving the order list from material handling department, the purchase department checksthe availability of material for productions. If the material is available, order list will be sent toProduction department for producing the items. If the material is not available, The order list will besent to finance department. If the finance is approved, material will be purchased and these materialsent to production department for producing items. At the same time purchased materials billdocument will be prepared and a copy of bill will be sent to Finance department. After receiving theorder, the production department checks for the storage space availability. If the storage space is `IN SEMESTER (INDIVIDUAL) ASSIGNMENTModule Code: BUSS-B 2012Module Name: Research Methods, data Analytics and PPLevel: 2Max. Marks: 100 Research Methods, Data Analytics and Project Planning (BUSS-B 2012) Spring 20 CW1 QPMEC_AMO_TEM_034_01 Page 2 of 10 available, then item will be produced. If the storage space is not available, then production will bedelayed and information will be sent to order processing department. After creating the additionalspace, item will be produced.After producing the item, production department checks for delivery time. If the delivery time isshort, item will be sent to warehouse department and stored in High rotation area. If the delivery timeis long, then also item will be sent to warehouse department, but stored in Low rotation area. Dispatchlist document will be prepared. At the same time, dispatch list also forwarded to Transportationdepartment 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 notavailable, external transport will be hired and then item will be delivered to the customer. On deliveryof items to the customer, delivery note will be prepared and copy of delivery note will also be sentto Order processing department. With reference to above context Q 1.Develop One process map and one Gantt chart for the entire process describedin 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 onassumption, select a company/process of your choice and perform the following task(40 Marks) a) Write a paragraphon description about the company /process / scenarioselected for the questionnaire.Alternatively you can also select one of the department and its process fromthe above mentioned case study and discuss elaborately about it. b) Develop Ten questions covering all the measuring areas for the selectedprocess.(Example fueling process, shopping process, queuing process in themunicipality office, ordering process in the canteen, milking cows etc.).Start / Stop Process DecisionPrepareDocumentConnectorResearch Methods, Data Analytics and Project Planning (BUSS-B 2012) Spring 20 CW1 QPMEC_AMO_TEM_034_01 Page 3 of 10 Alternatively you can also selectdepartments / processes in the abovementioned 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 facilitateyou to do proper data analysis. c) Identify and clearly mention, which types of measurements is applied to eachquestions. Q 3.Develop excel tables with data (based on assumptions) for each questions.Discuss/apply/demonstrate various Statistical Tests /Reliability Tests (minimumTHREE), 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, whichcomprises of the answers to the above questions. The compiled report also to be includedwith introduction, conclusion and references.Documentation Requirements Adopt academic conventions appropriate to a higher degreeAvoid cut & paste model solutionsPreferably, use free and open source software for project planningFollow MEC policies, sign and submit relevant documents for data/information collections. Dont breach company confidentialityPay close attention to assessment weighting and allocate your effort proportionatelyUse MEC LMS Moodle materials for peer and tutor supportTry to submit coursework as a single piece, preferably in Microsoft Word or AdobePDF format. Note : Soft copy of the final document after plagiarism check must be uploaded throughMoodle, on or before 09th June 2020. Student Declaration Form Must be pasted and Uploaded along with theAssignments.CriteriaThe assignment will be assessed out of 100 marks using the following criteria. TheResearch Methods, Data Analytics and Project Planning (BUSS-B 2012) Spring 20 CW1 QPMEC_AMO_TEM_034_01 Page 4 of 10marks awarded would be then scaled to 50.Rules & RegulationsRules & Regulations:All resources should be cited using CU Harvard style. The final assignment must have a Title page, Table of Contents, References/ bibliography usingCU Harvard Style and page numbers.Title Page must have Assignment Name, Module name, Session, your name, ID, and the nameof 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 suitablesoftware or by pencil. Each student has to do the assignment individually / Students have to do the assignmentcollaboratively and each student should write a brief reflection on their contribution andlearnings from group work. You can refer books in eLibrary or use internet resource. But you should not cut and pastematerial from internet nor provide photocopied material from books. The assignment answersshould be in your own words after understanding the matter from the above resources.Important Policies to be followed1. Student Academic Integrity Policy*:MEC upholds the spirit of academic integrity in all forms of academic work and any form ofviolation of academic integrity shall invite severe penalty. Any benefit obtained by indulging inthe 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 thebelow mentioned categories:1. Plagiarism2. Malpractice3. Ghost WritingResearch Methods, Data Analytics and Project Planning (BUSS-B 2012) Spring 20 CW1 QPMEC_AMO_TEM_034_01 Page 5 of 104. Collusion5. Other casesIf 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 offendersof plagiarism.1. PlagiarismA. First offence of plagiarismI. If a student is caught first time in an act of plagiarism during his/her course of studyin any assignment other than project work, the student will be allowed to re-submitthe assignment once, within a maximum period of one week. However, a penalty ofdeduction 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 fromthe date he or she is advised to re-submit.If the re-submitted work is also found to be plagiarized, then that assessment will beIII. awarded a zero mark. Re-submission of the work beyond the maximum period of oneweek will not be accepted and the assessment will be awarded a zero mark.B. Second offence of plagiarismIf any student is caught second time in an act of plagiarism during his/her course of study (ina subsequent semester), the student will directly be awarded zero for the work in whichplagiarism is detected. In such cases, the student will not be allowed to resubmit the work. Awarning of suspension shall be issued, and student has to sign an undertaking and undergocounselling session in such cases.2. Malpractice/Ghostwriting/CollusionA. First offence of Malpractice/Ghostwriting/CollusionIf a student is caught in an act of Malpractice/Ghostwriting/Collusion for anassessment component irrespective of coursework or end semester, the student shallfail the module and shall be required to re-register the moduleB. Second Offence of Malpractice/Ghostwriting/CollusionIf a student is caught a second time in an act of Malpractice/Ghostwriting/Collusionfor an assessment component irrespective of coursework or end semester, thestudent shall fail the module. A warning of suspension shall be issued, and studenthas to sign an undertaking and undergo counselling session in such cases.3. Third Offence of Academic Integrity ViolationIf a student is caught a third time in an act of Academic Integrity Violation for an assessmentcomponent irrespective of coursework or end semester (in a subsequent semester), the studentshall fail the module and also shall be suspended for one semester from the College, asrecommended 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 QPMEC_AMO_TEM_034_01 Page 6 of 10If a student is caught a fourth time in an act of Academic Integrity Violation for an assessmentcomponent irrespective of coursework or end semester (in a subsequent semester), the studentshall fail the module and also shall be expelled from the College, as recommended by institutionallevel academic committee, Chaired by the Associate Dean, Academic Affairs.5. Other casesIf a student commits an act of academic integrity violation as per the definition of other casesmentioned in the previous section or of a different nature, students case shall be forwarded toan institutional level academic committee, Chaired by the Associate Dean, Academic Affairs. Thecommittee shall investigate the case by means of a viva and/or a disciplinary hearing and shalltake appropriate decision. The penalty that can be granted to a proven case of academic integrityviolation which falls in this category of other cases can be a warning/component zero/ modulefail/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 beapplicable for the whole assessment, even if only the component or part submission aloneneeds to be resubmitted.If plagiarism is detected in a group assessment, all students of the group will be considered ashaving committed an act of plagiarism and the policy will then be applied to all studentsIf plagiarism is detected in any component of a group assessment, the deduction in marks willII.III. be applicable for the whole assessment even if only the component or part submission aloneneeds to be resubmitted.All students of the group would be considered as having committed an act of plagiarism andthe 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 groupassessment 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 beapplied to all students of the group. Group assessment component will beresubmitted as per the policy.b. If plagiarism is detected in the individual assessment component, the individualassessment component will be resubmitted and the policy will then be applied to thatstudent alone.c. For both (a) and/or (b), the deduction in marks will be applicable for the wholeassessment.* 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 workingdays) for all UG modules with a penalty. In such cases, a deduction of 5% of the marks obtainedfor the submitted work shall be imposed for each working day following the last date ofResearch Methods, Data Analytics and Project Planning (BUSS-B 2012) Spring 20 CW1 QPMEC_AMO_TEM_034_01 Page 7 of 10submission till the date of actual submission. Assessment documents submitted beyond aperiod of one week (5 working days) after the last date of submission will not be accepted andwill be awarded a zero for that assessment. In cases where the submission has been delayeddue to extenuating circumstances, the student may be permitted to submit the work withoutimposing the late submission policy stated above. The extended period of submission will beone week from the original last date of submission. In such cases, the student is expected tosubmit the supporting certificates on or before the original last date of submission of theassessment 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 oneweek of the original last date of submission.Students may contact their teachers for clarification on specific details of the submissiontime if required.3. Research Ethics and Biosafety PolicyTo protect and respect the rights, dignity, health, safety, and privacy of research subjectsinvolved including the welfare of animals and the integrity of environment, all student projectsare 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 ethicalstandards consistent with national and international standards and conventions. Any research at MEC that is categorized as high-risk research shall be subject to review andapproval by the Research Ethics and Biosafety Committee. Research activities involving collection of human or animal tissues and manipulation ofmicrobial, animal or plant cells shall be subject to review and approval by the Research Ethicsand Biosafety Committee. Participants involved in research must be informed about the purpose of research andintended uses of research findings. Written consent must be obtained from people involvedprior to the commencement of research. Data obtained from participants must be treated with high confidence and should be usedonly for the intended purpose of research. Assessment Evaluation Criteria ClassificationAnd % Range Reflection and criticalanalysis.Knowledge andUnderstanding/Application of TheoryEvidence of ReadingReferencing andBibliographyPresentation, Grammarand SpellingOutstandingHighly competentanalytical skills andreflective practice,demonstrating personallearning and growth,insight into requiredprofessional values andprinciples andprofessional developmentplanning.Extensive knowledge anddepth of understanding ofprinciples and conceptsand /or outstandingapplication of theory inpractice.Evidence of reading anextensive range ofeducationalliterature/research andwhere applicableworkplace strategies,policies and procedures.Accurate referencing andbibliography correctlyusing appropriatereferencing styleExcellent presentation,logically structured, usingcorrect grammar andspelling, excellent crossreferencing and links tosupporting evidenceExcellentStrong analytical skills andreflective practice used,demonstrating personallearning and growth,insight into requiredprofessional values,Excellent knowledge andunderstanding ofprinciples and conceptsand /or excellentknowledge andunderstanding of theEvidence of reading a widerange of educationalliterature/research andwhere applicable,workplace strategies,policies and procedures.Appropriate referencingand bibliography correctlyusing appropriatereferencing styleGood presentation,competently structured,using correct grammarand spelling, clear andeasy to use links tosupporting evidence Research Methods, Data Analytics and Project Planning (BUSS-B 2012) Spring 20 CW1 QPMEC_AMO_TEM_034_01 Page 8 of 10 principles andcompetencies andprofessional developmentplanning.application of theory inpracticeVery Good QualityGood use of analyticalskills and reflectivepractice demonstratingpersonal learning andgrowth, insight intorequired professionalvalues, principles andcompetencies andprofessional developmentplanning.Good knowledge or keyprinciples and conceptsand/or good knowledge ofthe application of theoryin practiceEvidence of reading a goodrange of educationalliterature/research andwhere applicableworkplace strategies,policies and procedures.Generally well referencedwith correct use of theappropriate referencingstyleReasonable presentation,completely structured,acceptable grammar andspelling, acceptable linksto supporting evidenceGood (Acceptable)Acceptable use ofanalytical skills andreflective practicedemonstrating personallearning and growth,insight into requiredprofessional values,principles andcompetencies andprofessional developmentplanning.Acceptable knowledge ofkey principles andconcepts and/orknowledge of theapplication of theory inpracticeEvidence of reading anappropriate range ofeducationalliterature/research andwhere applicable, relevantworkplace policies andproceduresAdequate referencing.Generally accurate use ofappropriate referencingstyleAdequate presentationand structure, acceptablegrammar and spelling,adequate links tosupporting evidenceAdequate/ SatisfactoryAdequate use of analyticalskills and reflectivepractice demonstratingpersonal learning andgrowth, insight intorequired professionalvalues, principles andcompetencies andprofessional developmentplanning.Adequate knowledge ofkey principles andconcepts and/orsatisfactory evidence ofthe application of theoryin practice.Evidence of minimalreading of educationalliterature/research andwhere applicable relevantworkplace policies andproceduresAdequate referencing.Appropriate referencingstyle used but maycontain someinaccuracies.Weak presentation ,satisfactory structure,grammar and spelling,links to supportingevidenceWeak /Poor(all learning outcomes notadequately met)Little use of analyticalskills and reflectivepractice demonstratingpersonal learning andgrowth, insight intorequired competenciesand/or professionaldevelopment planning.Professional values andprinciples not reflected inthe submission.and/orInsufficient/no use ofanalytical skills andreflective practicedemonstrating personallearning and growth,insight into requiredcompetencies andprofessional developmentplanningLittle evidence ofknowledge of keyprinciples or conceptsand/or little evidence ofthe application of theoryin practiceand/orNo evidence of knowledgeof key principles orconcepts and/or noevidence of application oftheory in practiceLittle or no evidence ofreading outside of thecourse textbook and/orreference to relevant workplace policies andproceduresand/orNo evidence of readingoutside of the coursetextbook and/or referenceto relevant workplacepolicies and proceduresLittle or no referencing,incorrect style, or veryinaccurate use ofappropriate referencingstylePoor presentation,grammar and spelling,links to supportingevidenceand/orUnacceptablepresentation, grammarand spelling, structure isvery poor, links tosupporting evidence Assessment Grading Criteria 90-100%OutstandingFocused and comprehensive engagement with the question, showing evidence of indepthunderstanding of the issues. Extremely clearly structured and demonstrating a coherentargument throughout.Evidence of wide, independent reading.No obvious errors in referencing or grammar or syntax as appropriate.80-89%ExcellentDetailed 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 QPMEC_AMO_TEM_034_01 Page 9 of 10 70-79%VerygoodIdentification and very good understanding of issues in the assessment. Full answers to allquestions/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 % GoodGood understanding of the issues. Engages directly with the question. Clear argumentwith good examples used to support it.All main points and important issues of the question/task covered. Some evidence ofreading outside the module listSome small repeated errors in referencing or grammar or syntax as appropriate50-59%CompetentGenerally sound understanding of basic theory and concepts. Contentrelevant 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 failSome learning outcomes and / or assessment criteria not met.Superficial treatment of issues. Someis relevant to topic set. Material merely repeatstaught input. Lacks understanding of basic theory or concepts. Possible use of extensive quoted passages.Evidence of sufficient grasp of learning outcomes to suggest that the participant will beable 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.Inadequate demonstration of knowledge or understanding of key concepts,theories or practice.0-9%No real attempt to address theassignment brief or learning outcomes Research Methods, Data Analytics and Project Planning (BUSS-B 2012) Spring 20 CW1 QPMEC_AMO_TEM_034_01 Page 10 of 10BUSS-B 2012 Research Methods, Data Analytics and Project Planning Case StudyID NO. __________________ NAME : ______________________________________ DeliverablesAspects0-45-2021-30MarkQ. 1Process Mapand Gantt chartPoor demonstrationof Process Map /Gantt chartNo proper sequencefollowedSatisfactory / Goodillustrations anddemonstrations ofProcess Map / GanttchartHowever few Key taskidentification andintegration needsimprovements.Few components ofProcess Map / Ganttchart can beimproved.Very Good / Excellentillustration anddemonstrations of ProcessMap / Gantt chartMost / all key componentsare identified and properlyintegrated.DeliverablesAspects0-45-3031-40MarkQ. 2Description,QuestionsdevelopmentcoveringmeasurementandMeasurementtypesPoor DescriptionandPoor compilation ofQuestions.Questions are notrelevantMeasurements notdiscussedSatisfactory / Goodcompilationdescriptions.Satisfactory / Goodcompilation of fewquestions.Satisfactory / Goodcompilation ofmeasurementsHowever fewquestions needsimprovements.Very Good / Excellentcompilation of descriptionsVery Good / Excellentcompilation of most of thequestions / all questionsand questions were as permeasurement rules.Questions developed are asper guidelines andquestions are relevant tothe measurements andmeasurement typementioned.DeliverablesAspects0-45-2021-30MarkQ. 3DiscussionaboutStatisticalDistributions/TestsPoor compilation ofdiscussion aboutmeasurements/distribution / tests.Discussion notrelevant to the casestudySatisfactory / Gooddiscussion about datatypes, measurementsand statisticaldistributions/tests.Few discussions needsimprovements.Very Good / Excellentdiscussion about data typesand measurements. VeryGood / Excellent discussionabout various statisticaldistributions/tests.Signature of EvaluatorTotal MarksPenaltyFinal MarksComments

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