English homework help

English homework help. 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.  Don’t 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 assess
ment 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, student’s 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 Reflection and critical 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 crossreferencing 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 demon
strating 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 indepthunderstanding of the issues. Extremely clearly structured and demonstrating a coherent argument throughout. Evidence of wide, independent reading. No obvious errorsin 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 answersto 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 errorsin 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 alwaysfully utilised in supporting argument. Some repeated errorsin 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 outcomesto suggest that the participant will be able to retrieve the module on resubmission. 20-29% No learning outcomesfully met. Little evidence of attemptsto 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 addressthe 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 Mark

English homework help