Business Information Analysis
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FIT1006 Business Information Analysis
Teaching Team:
Lecturer and Chief Examiner: A./Prof. David Dowe
Tutors (or Teaching Assistants, TAs) : Dr Heshan Kumarage (head
tutor or admin’ tutor), Anthony Wong, Dulan Perera, Emily Yap Sin-Yee,
Flora Jin
Please use your Monash account for all e-mails to lecturer
and tutors.
If e-mailing, then the first 8 characters of the e-mail subject
line should be `FIT1006 ‘ (FIT1006 followed by a space).
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Lectures
Lectures
currently recorded unless we are subsequently notified
otherwise
Most lectures will be best if done with pre-reading, which will be
posted on Moodle
Lecture slides will be available after the lecture on Moodle as
PDF.
Lectures recordings available on Moodle.
Some topics will run across multiple lectures.
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Applied Sessions (or Labs)
Applied sessions start in Week 2 (2-hour session per week)
Download the applied session sheet (or tutorial sheet) each week
Arrive prepared for each applied session. This means: revising
lectures + reading + practice questions.
Applied sessions will typically comprise: review of lecture, worked
examples, practice questions, manual & computer calculations.
+ 8 hours study/practice/research each week!
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Consultation and Help
Consultations:
– Start from approx Week 3. Consultation times will be posted on
Moodle
Forum – should be your starting point: Ed Discussion Forum
– We can often reply fairly promptly from amongst the
teaching team.
• If someone hasn’t answered already.
Applied Sessions.
Support and help: See the “Welcome to FIT1006” post on Ed
Discussion and various Moodle pages for pointers to help
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Resources
Subject Resources
– Download all lecture notes, applied session sheets, and
other materials from Moodle
Recordings – also on Moodle,
Assignment instructions – released on Moodle.
Support and help: Again, please see the “Welcome to FIT1006”
post on Ed Discussion and also various Moodle pages for
pointers to help
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Textbook and References
Prescribed text:
Business Statistics Abridged, (7th Ed., 2017, or) 8th edition
Selvanathan et al., Cengage, South Melbourne, 2021.
(5th and 6th editions are purportedly quite similar in content)
For any of you wishing to buy a copy, see link within Moodle of
discount offer from publisher
Additional Reading
– Statistics Without Tears, Derek Rowntree, Penguin,
Harmondsworth, 1981.
– Statistics Explained: An introductory guide for life scientists,
Steve McKillup, Cambridge U.P., 2006.
Wikipedia – a handy reference for at least many topics.
Software: MicroSoft Excel and SYSTAT
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Mathematics!
This unit has a mathematics prerequisite of:
A study score of 25 in VCE Mathematics Methods or
Specialist Maths units 3 & 4 or 30 in Further Maths units 3
& 4 or MTH1010 or equivalent.
If you have come to university via a non-VCE pathway, or
are just curious, you can see some sample questions on
Moodle.
Topics covered in this unit will include (e.g.) probability and
hypothesis testing, so please be mindful that at least some
of the mathematics might be – and/or become - challenging
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Assessment
To pass the unit you must obtain:
– An overall unit mark of 50% or more.
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Unit Assessment
Assessment Due Date % of Mark
Online quiz currently planned for Week 4 2
Data Collection currently planned for Week 5 18
Data Analysis
Report
currently planned for Week 9 40
In-class quiz TBC, currently planned in-
class in week 12
15
Take home test TBC, currently planned for
week 14
25
FIT1006 Business Information Analysis
Quiz 1 – 2%
- Quiz 1, 2%.
- To be done individually and as per given instructions.
- Intend to test on material covered up to the end of the
week before.
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Assignment 1: Data Collection - 18%
- To be done individually and as per given instructions
- Intend to test on material covered up to the end of the
week before it is due
- We’ll go through this in more detail later.
- For students who have work in progress that they’d like to
discuss, we hope to have time for students to have 1-to-1
discussions in Applied sessions or consultation sessions
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Assignment 2: Data Analysis - 40%
- To be done individually and as per given instructions
- Intend to test on material covered up to the end of the
week before it is due
- Write a report following the assignment instructions. We
anticipate that it will involve at least some of:
- Data visualisation
- Hypothesis testing
- Reflective commentary.
- We plan to go through this in more detail before it is due.
- We hope to give everyone some time to talk with a tutor
about at least part of an assignment draft
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In-Class Test - 15%
- To be done individually and as per given instructions
- Intend to test on material covered up to the end of the
week before.
- Make sure to arrive punctually at your allocated applied
session and to follow instructions.
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Take-Home Test - 25%
- To be done individually and as per given instructions
- We’ll explain in more detail closer to the time.
- Intend to test on material covered up to the end of the
week before it is due (i.e., the entire syllabus)
- There will possibly be some selective use of generative AI
permitted, but stay tuned for further instructions
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General Observations
- Make sure you follow the course and are learning as you
go along!
- We are here to help you with this course and want
you to learn and do well.
- Try to avoid the crunch:
- Start assignments as early as possible.
- We intend to give you at least 10 calendar days in each case
(and perhaps more in the case of Assignment 2).
- Towards the end of the Semester, units tend to all pile up!
Trying to do these things at the last minute is usually not a good idea.
- Whether or not you might possibly get extensions, please do not
rely on this happening
Support and help: See the “Welcome to FIT1006” post on Ed
Discussion and various Moodle pages for pointers to help
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Unit Learning Outcomes
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