BBUS1BAN Business Analytics 预科 assignment 代写

 BBUS1BAN Business Analytics 预科 assignment 代写

Foundation and Diploma Programs
Subject Outline
Trimester 01- 2017

Subject Code:           BBUS1BAN
Subject Name:           Business Analytics

La Trobe Melbourne
Sylvia Walton Building
La Trobe University
Bundoora   3086
Ph:  +61 3 9479 2417
La Trobe MelbourneCRICOS Provider Code:   03312D
La Trobe University CRICOS Provider Code:  00115M


A Note from your Subject Co-ordinator. 3
Contact Details. 3
Subject Information at a Glance. 3
Subject Description. 5
Learning and Assessment. 5
Learning Resources. 6
Assessment Tasks. 7
Academic Misconduct. 9
Assignment Submission. 10
Class Attendance. 10
Student Grievance Policy. 11
Additional Support. 11
Trimester Dates. 12
Trimester Timetable. 13

A Note from your Subject Co-ordinatorWelcome to Business Analytics.  This subject outline explains the aims of the subject and describes the assessment requirements.  You should always read this subject outline first and check it frequently when preparing to study or embarking on assignment work.  This subject is one of 5core subjects and 3elective subjects in the Diploma Business

Core Subjects
LTM1AI Academic Integrity
BBUS1BUF Business Foundations
BBUS1AFB Accounting & Finance for Business
BBUS1BUE Business Economics
BBUS1BAN Business Analytics
BBUS1BSW Business Writing
Elective Subjects
BACC1AMD Accounting for Management Decision Making
BMGTFOM Foundations of Management
BMKT1MDP Marketing:  Defined, Planned, Delivered
BFIN1FOF Fundamentals of Finance
BMGT1THE Introduction to Tourism, Hospitality & Events
BTHS1IIB Introduction to International Business

Contact Details

Subject Co-ordinator: Sophia Osborne
Other Teachers:
Zel Stankovic
zel stankovic

Subject Information at a GlancePrerequisite

Credit Points

Delivery mode:
12 weeks x 4 hours = 48 hours.
1 x 2 hour lecture
1 x 2 hour tutorial
Students should be expected to undertake additional hours for the completion of tutorial exercises and regular revision of work.
Your final mark and grade for this subject is determined as follows:
·         Internal assessment:       50%
·         Final examination:   50%

Hurdle Requirement:
In order to pass this subject, students are required to achieve an overall result of at least 50%.
There is no hurdle requirement for the final exam.
To achieve a passing grade in this subject, students are required to obtain a minimum cumulative total of 50% from the above mentioned assessments.

Student Portal:
The portal gives you access to news, documents, timetable, results and Moodle.  Moodle is a Learning Management System.  You have a different Moodle site for each of your subjects.  You will find lecture and tutorial material and details of assessment.  For this subject, some of the assessments will be online via Moodle and include the completion of online quizzes.

Subject DescriptionBusiness Analytics is one of four subjects forming the common first year core for all business diploma programs at La Trobe Melbourne.
In a world where organizations are confronted with a vast amount of information, there will be an ever-increasing demand for graduates who are able to demonstrate that they can make effective use of data. This subject will help students to become more competent organizers of data and users of information and to develop their understanding of decision making processes. The subject will assist students to attain an introductory level of statistical literacy by helping them to apply statistical concepts to critical business problems and major social issues as well as competency in the use of Excel in a Statistical environment.

Learning and AssessmentLearning Outcomes
At the end of this subject, students will be able to:

  1. Describe the growing importance of information in organisations
  2. Critically analyse the role of information management and data analysis in effective decision-making in organisations
  3. Describe basic procedures that modern organisations have developed to help them to manage risk.
  4. Select and apply appropriate statistical methodology to a variety of problems relating to social, organisational and business settings
  5. Select and use appropriate software tools to calculate descriptive statistics, inferential statistics and forecasting

La Trobe Melbourne Transitional Attributes
All La Trobe Melbourne diploma subjects contribute to the following graduate capabilities:

  1. Literacy and communication skills;
  2. Inquiry and analytical skills;
  3. Personal and professional skills; and
  4. Discipline-specific knowledge and skills.

For more detailed information please refer to the La Trobe University website

Assessment Type When Weighting Learning Outcomes Assessed
10 weekly online quizzes Weeks 1 to 10 15% (1.5% each) All (1 – 5)
Revision Quiz (Online) Week 11  5% All (1 – 5)
Research Project Week 10 20%
All (1 – 5)
Tutorial participation (including presentation of work) Weeks 1 to 10 10%
All (1 – 5)
Final Examination Week 13 50% All (1 – 5)

Learning Resources 
Prescribed Text:

Title:             BUS1BAN Business Analytics
Authors:       Eliyathamby A Selvanathan, Saroja Selvanathan &
Gerald Kelly, 2016 (second edition)
Publisher:     Cengage Learning


Assessment TasksOverview

10 weekly online quizzes 15%
Revision Quiz 5%
Research Project 20%
Tutorial participation and presentation of work 10%
Final examination 50%
Total 100%

Grading System
To be awarded a passing grade, students must achieve a final mark of 50% or more.
The grading system is:

Grade Percentage
A 80 – 100
B 70 – 79
C 60 – 69
D 50 – 59
N (Fail) 0 – 49

Special Consideration
Special Consideration is a process provided for students for whom adverse and unforeseeable circumstances may have impacted negatively on their ability to complete assessments or sit exams.

A student should apply for Special Consideration if:
·    he or she isunableto sit/completeanexaminationorotherassessmentduetoserious illnessorothercause.
·    he or she believesthathisor herperformancein an assessment or examtaskhas been adverselyaffectedbyillnessor other causeimmediatelyprior totheduedate of the assessedtask.

ApplicationsforSpecial Considerationwillbe acceptedonmedicalgroundsorunder compassionateor compellingcircumstances.Examplesofsuchcircumstancesinclude:
·    seriousillnessorpsychologicalconditioncausingahospitaladmission,aserious injury,severeanxietyordepression;
·    distressduetothedeathofafamilymemberorafamilyrelationship breakdown;
·    hardshiportraumacausedforexample,bybeingavictimofcrimeorinvolvedina naturaldisaster.

To apply for Special Consideration you should download the form from the Student Portal (go to Student – Documents – Forms – Special Consideration). Make your application by filling out the form and attaching supporting documentation.  The student must complete Section A, and a professional practitioner must complete Section B where necessary.  Additional documentation for other sources, such as the Student Counsellor, may be provided as required.When complete send your form to

In the case of class tests and assessments, the application should be made directly to your teacher within 72 hours of the due date/test. You should also contact your teacher as soon as possible to notify them of your intention to apply.Ifastudentwishesthe applicationbetreatedin confidence, makean appointmentcanbe madewiththestudent counsellor.They willthen makearecommendationtotherelevant teacher/unit.

 In the case of exams, the application should be made through the Special Consideration email within 72 hours of the exam time. Special Consideration applicationsforexams are reviewedbytheAcademicReviewCommittee.

Please refer to policies on our website:

 BBUS1BAN Business Analytics 预科 assignment 代写

Academic MisconductPlagiarism and collusion are academic offences.  They are forms of cheating and severe penalties are associated with them.  If a student is caught plagiarising they may be failed in that piece of assessment.
Plagiarism occurs when a student passes off as their own another student’s work, or copies without acknowledgment of its authorship, the work of any other person.
Collusion occurs when a student obtains the agreement of another person for a fraudulent purpose with the intent of obtaining an advantage in submitting an assignment or other work.
Whenever you refer to another person’s research or ideas (whether directly quoting or by paraphrasing them) you MUST acknowledge the source.  Also, copying paragraphs from web pages and presenting them as your own work is plagiarism.  If you download and copy paragraphs from a web page, you must identify the source.
La Trobe Melbourne will provide plagiarism detection software to assist both staff and students with the identification of instances where work intended for submission or actually submitted is inappropriately copied from another source either in whole or in part.
Refer to La Trobe University’s website for information on plagiarism and acknowledging source material:

Examination Misconduct
This may take various forms, for example:

  • Bringing into an examination forbidden material (notes) or gaining access to such material during an examination (e.g. by communication via mobile phone with another person, planting material in a toilet, speaking or using hand gestures to communicate with others, etc).
  • Copying from an adjacent student in a formal examination.
  • Gaining knowledge of or revealing content of an examination in a circumstance in which a student has taken the examination earlier or later than the scheduled time.

Any form of misconduct in an exam will be treated as a serious offence and students will face severe penalties. Where the intent of the student is to cheat they will receive zero marks for their exam.
Should an examination invigilator suspect a student of engaging in examination misconduct, they shall normally allow the student to complete the examination. They will complete an incident report, attach any relevant evidence, and submit it to the Academic Director within 72 hours of the date of the exam. The Academic Director will notify the student of the alleged misconduct in writing via email and give the student an opportunity to submit their case. The student shall then be notified of the outcome in writing via email. Please note, some exams are open book.  If you see somebody using notes, this is not an invitation for you to also take out notes.  If an exam is an open book exam, it will be clearly stated on the front page.

Assignment SubmissionAssignments must be submitted by the due date.  Students must complete the Assignment Cover Sheet available from the portal and attach it to their assignment. 
Check with your teacher for submission guidelines.  Assignments may be asked to be submitted via the portal or handed to your teacher in class.  Assignments are not accepted at reception.
Students must keep a copy of each assignment submitted and must be able to produce the copy in the unlikely event that the original assignment is misplaced.  Students must maintain backup copies of all their assignment work.  Electronic loss of data is possible, but is not a satisfactory excuse for an extension of a submission date.
Late Submission
Extension for medical reasons: 
If your work is late for medical reasons, you will need a medical certificate to cover you from the time the assignment was due until the time it is submitted. The medical certificate must accompany an application for special consideration. 
An extension of assignment submission for circumstances in the time leading up to the due date must be applied for in writing to your teacher at least 48 hours prior to the due date.
Penalties for late submission:
Assignments received late and without prior approval will be penalised.  A penalty of 5% of the available marks will be deducted every working day the assignment is late.  Assignments received after five working days, and without an approved extension, will receive 0%
Class AttendanceAttendance is an important element of a student’s success in their studies and it is strongly recommended that attendance is maintained in all classes.  All work covered in class is examinable.  Poor attendance can lead to failure to progress academically.  Failing to progress may result in exclusion from study, and for international students, this may lead to cancellation of a student visa.
Attendance will be recorded in all sessions and Foundation Studies students need to be aware that if they fail to meet satisfactory attendance requirements, as set out by DIBP, they may be breaching their visa requirements.
For any given trimester, the expected attendance requirement is that all domestic and international students attend a minimum of 80 per cent of classes over the trimester. 
Students are expected to attend the full duration of each class.  However, students will be marked as present for a late arrival within the first hour of each scheduled class.  Thereafter, students will be marked as absent.
Please refer to policies on our website:

Student Grievance PolicyThe Student Grievance policy has been developed to ensure all current and prospective students of La Trobe Melbourne are given access to a fair complaints resolution and appeals process.
Please refer to policies on our website:

Additional SupportAcademic Skills Advisor:  Colin Thomson
For help with essay and report writing, referencing, oral presentation skills, study skills

Student Counsellor:  Stephen Manteit
For help with any personal issue which is affecting your study

Maths and Stats:  To be advertised on the portal.
For help with any subject that involves numeracy and statistics, starting in week 4.

Trimester Dates 

Week 1 27 February
Week 2 6 March
Week 3 13 March
Week 4 20 March
Week 5 27 March
Week 6 3 April
Week 7 (Split week)  
10 April – 12 April
(Monday, Tuesday and Wednesday)
Trimester Break 13 – 19 April
Week 7 resumes 20 April
Week 7 (Split week)  
20 April – 21 April
(Thursday and Friday)
Week 8 24 April
Week 9 1 May
Week 10 8 May
Week 11 15 May
Week 12 22 May
Exams 29 May – 2 June
Results Released 15 June

Trimester TimetableLecture Schedule

Week Topic
1 Introduction and
What is Statistics (Topic 1)
Types of data, data collection and sampling (Topic 2)
On line quiz
2 Graphical Descriptive Statistics (Topic 3) On line quiz and Assignment
3 Numerical Descriptive Statistics  (Topic 4) On line quiz and Assignment
4 Numerical descriptive statistics (cont….)  Topic 4 On line quiz and Assignment
5 Probability  (Topic 5) On line quiz and Assignment
6 Random variables and Discrete Probability Distributions (Topic 6) On line quiz and Assignment
7 Continuous Probability Distributions (Topic 6) On line quiz and Assignment
8 Introduction to Statistical Inference and
Sampling Distributions   (Topics 7 & 8)
On line quiz and Assignment
9 Estimation: Describing a single population (Topic 9)
Hypothesis Testing: Describing a single population (Topic 10)
On line quiz and Assignment
10 Hypothesis Testing: Describing a single population (Topic 10)
Simple Linear Regression and Correlation (Topic 11)
On line quiz and Assignment
11 Simple Linear Regression and Correlation (Topic 11) Revision Quiz
12 Revision  
13 Exam Exam

 BBUS1BAN Business Analytics 预科 assignment 代写

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