代做FIT5097语言编程、代写Analysis设计程序、代做Python，Java代写编程

日期：2020-11-25 10:47

Monash University

Faculty of Information Technology

FIT5097 Business Intelligence Modelling

2

nd Semester 2020

Assignment: Linear Programming, Sensitivity Analysis,

Transshipment/Network Modelling and Integer Linear Programming - and

Inventory Management - using Microsoft Excel Solver

This assignment is worth 30% of your final mark (subject to the hurdles described in the

FIT5097 Moodle preview [or Unit Guide] and links therein). Among other things (see

below), note the need to hit the `Submit’ button (i.e., don’t just leave your work in

unsubmitted `draft’ mode) and also note the requirement of an interview.

Due Date: Wednesday 14

th October 2020, 11:45pm in time zone of Melbourne, Australia

Method of submission: Your submission should consist of 2 files:

1. A Microsoft Excel spreadsheet named as:

FamilyName-StudentId-2ndSem2020FIT5097.xlsx

2. A text-based .pdf file named as: FamilyName-StudentId-2ndSem2020FIT5097.pdf

Both the files must be uploaded on the FIT5097 Moodle site by the due date and time. The

text-based .pdf file will undergo a similarity check by Turnitin at the time you submit to

Moodle. Please read submission instructions on the last page carefully re use of Moodle.

Please read all instructions - including the notes below - carefully.

Total available marks = 100 marks.

(60 + 32 + 10 = 102 marks are available. Any mark over 100 will be rounded down to 100.)

Note 1: Please recall the Academic Integrity exercises from week 1 and the start of semester. In

submitting this assignment, you acknowledge both that you are familiar with the relevant policies, rules

and regulations regarding Academic Integrity and also that you are familiar with the consequences of

being deemed to be in contravention of these policies. Students are expected to do their own work and

not to share their work. Among other things, students are reminded not to post even part of a proposed

partial solution to a Moodle forum, Ed Discussions or other location. Students are reminded of the

potentially serious consequences of being found guilty of an academic integrity violation. Put plain

and simply, please take great care in this regard.

Note 2: It is your responsibility to be familiar with the special consideration policies and special

consideration process - and also with other policies (e.g., academic integrity, etc).

Note 3: You will be required to be prepared to (present and) be interviewed about the work during

lab/tute/studio time - to be determined by your lecturer and tutor, currently scheduled for week 10, but

possibly to be scheduled for week 11. (Stay tuned for confirmation of the week of your compulsory

Assignment interview.) This is a compulsory part of your assessment – only to be re-scheduled if you

have an approved application for special consideration. Students should be familiar with the special

consideration policies and the process for applying. Students who do not attend the scheduled

assignment interview without valid approved grounds for special consideration will possibly be given a

mark of 0 for the assignment - i.e., we reserve the right to give any such student a mark of 0 for their

assignment in such cases. As previously advised, students should be familiar with the special

consideration policies and the process for applying.

Note 4: As a general rule, don’t just give a number or an answer like `Yes’ or `No’ without at least

some clear and sufficient explanation - or, otherwise, you risk being awarded 0 marks for the relevant

exercise. Evidence of working is expected to be shown. Make it easy for the person marking your

work to follow your reasoning. Evidence of working includes - but is not limited to - showing clearly

relevant spreadsheet tabs for every question and sub-question requiring calculations. Please

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understand that a failure to require a spreadsheet tab when one is relevant for a question or

sub-question could result in very few - or potentially even zero - marks for the relevant question or

sub-question. Your .pdf should typically cross-reference the corresponding answer in your

spreadsheet. For each sub-question and exercise, provide a clearly labelled spreadsheet tab with clear

content and appropriate use of colours, accompanied with clearly cross-referenced clear .pdf

explanation. Put another way, make sure that everything in your assignment is there, and make it easy

for the marker to find it. Again, without clear cross-reference between .pdf and spreadsheet tab, there is

the possibility that any such exercise will be awarded 0 marks.

Note 5: As a general rule, if there is an elegant way of answering a question - e.g., without

unnecessarily re-running the Solver - then try to do it that way. (Recall, e.g., sensitivity report and

some notions from Week 4.) More generally, more elegant solutions are preferable - and will at least

sometimes be given more marks or perhaps many more marks. Among other things, if a problem is a

linear programming (LP) problem, then it would be more elegant to solve it using a linear simplex

model (than, e.g., a non-linear model) where possible. In similar vein, a linking constraint (where

appropriate) will be far preferable to a seemingly equivalent use of the IF() function.

Note 6: All of your submitted work should be in machine readable form (in spreadsheet form or typed

document), and none of your submitted work should be hand-written.

Note 7: If you wish for your work to be marked and not to accrue (possibly considerable and

substantial) late penalties, then make sure to upload the correct files and (not to leave your files as

`Draft’ but) also to hit Submit to make sure that your work is submitted.

Note 8: The notation 1E-12 corresponds to 1 x 10

-12

, or 0.000000000001. If you see a figure of

approximately this magnitude or comparable magnitude, then consider whether or not it might be a

small rounding error for something else. The notation 1E+30 corresponds to 1 x 10

30

, or

1,000,000,000,000,000,000,000,000,000,000, but is often used in MicroSoft Excel to denote infinity.

Note 9: For all solutions involving integer constraints, first see whether you can get the optimal

integer solution - and, that failing, see whether you can get an integer solution within a relatively small

percentage (e.g., 1% or less, if possible) of the optimal relaxed solution (where the relaxed solution

does not have the integer constraints). (The reason for the last sentence is an acknowledgment that

obtaining the optimal integer solution typically requires much more run-time than obtaining the optimal

relaxed solution.) At the very least, make it clear to the person marking your work exactly what you’re

doing, and why.

Question 1 – Linear Programming and variants [6 + 6 + 4 + 3 + 3 + 3 + 3 + 4 + 2 + 2 +

3 + 3 + 3 + 3 + 3 + 3 + 3 + 3 = 60 marks]

We use resources to make products. Consider 6 such resources and 5 such products. The various

resources that we use might include (e.g.) linen, elastic, plastic, foam, etc. The various products that we

make might include (e.g.) soap, sanitiser, washable masks, disposable masks, filters, shields, other

personal protection equipment (PPE), etc. (Alternatively, the products might possibly be various

graphical processing units - or GPUs - and the various resources might possiblybe Solder, Copper wire,

Plastic, Aluminium, Bearings, Die size.)

We show below the profit of each product, the number of each resource required to make each product,

and the total availability of each resource.

Unless we are explicitly told that a variable is integer-valued (or otherwise discrete-valued or binary,

etc), it will probably be safer not to make such an assumption and rather instead allow the variable to

be continuous-valued. (Note that sub-questions such as part 1m will occur later.) If unsure, clearly

state and justify any assumptions. Please state such continuous values to at least three decimal places.

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Product 1 Product 2 Product 3 Product 4 Product 5

Profit of Product $510 $300 $510 $270 $810

Resource Availability

Resource 1 2 10 2 3 6 2487

Resource 2 6 3 6 3 10 3030

Resource 3 2 3 10 6 2 5217

Resource 4 7 6 5 4 3 4000

Resource 5 5 6 3 10 2 4999

Resource 6 10 3 5 3 4 2769

We wish to produce products - given constraints - so as to optimise our objective function.

Bearing in mind the introductory material above, the questions follow below:

1a) Formulate a Linear Programming (an LP) model for this problem. Save your

formulation in the text-based .pdf file

[FamilyName-YourStudentId-2ndSem2020FIT5097.pdf]. (6 marks)

1b) Create a MicroSoft Excel spreadsheet model for this problem. Store the model

in your Excel workbook

[FamilyName-YourStudentId-2ndSem2020FIT5097.xlsx] and name your first

Excel worksheet (spreadsheet tab) for this question something like (e.g.)

‘LotsOfProducts 1b’ (6 marks)

1c) Solve the problem - using Microsoft Excel Solver. Generate the Sensitivity

report for the problem and name your Excel worksheet (spreadsheet tab) (e.g.) ‘Qu

1b Sensitivity Rep’. (4 marks)

Using the Microsoft Excel Solver sensitivity report (as appropriate), provide answers (in the

.pdf file) to the following questions: (You must include explanations with your

answers.)

1d) What is the optimal production plan (X1

, X2

, X3

, X4

, X5

) and the associated profit?

Refer to your answers to any of a), b) and/or c) above as appropriate. (3 marks)

For the remaining parts of this question, explain your answer(s), typically referring to relevant

spreadsheet entry/ies and/or specific relevant parts of spreadsheet reports.

Throughout, recall note 4 above: ``Note 4: As a general rule, don’t just give a number or an answer like

`Yes’ or `No’ without at least some clear and sufficient explanation - or, otherwise, you risk being awarded 0

marks for the relevant exercise. Evidence of working is expected to be shown. Make it easy for the person

marking your work to follow your reasoning. Evidence of working includes - but is not limited to - showing

clearly relevant spreadsheet tabs for every question and sub-question requiring calculations. Please understand

that a failure to require a spreadsheet tab when one is relevant for a question or sub-question could result in very

few - or potentially even zero - marks for the relevant question or sub-question. Your .pdf should typically

cross-reference the corresponding answer in your spreadsheet. For each sub-question and exercise, provide a

clearly labelled spreadsheet tab with clear content and appropriate use of colours, accompanied with clearly

cross-referenced clear .pdf explanation. Put another way, make sure that everything in your assignment is there,

and make it easy for the marker to find it. Again, without clear cross-reference between .pdf and spreadsheet tab,

there is the possibility that any such exercise will be awarded 0 marks.’’

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1e) Which constraints, if any, are binding? Refer to your answers to any of the

above parts as appropriate, and explain your reasoning. (3 marks)

1f) The people running the company are now offered the opportunity of an exchange

of goods.

The offer is for the company to receive 1 of Resource 2, 10 of Resource 4 and 100 of

Resource 5 but for the company to have to relinquish (or surrender, or give away. or pay for

these resources with) 10 of Resource 1, 5 of Resource 3 and 3 of Resource 6.

Should the company accept this offer?

Clearly explain with clear calculations (to at least 3 decimal places) how much money the

company would gain or lose by agreeing to such an exchange, making it clear whether this

would result in a gain or a loss.

Let us return to the original problem above (prior to the company being made an offer) from

part d.

A proposal is put forward to produce a new product called Product 6.

Product 6 would have a profit of $155 and would require the following resources: 2 of

Resource 2, 4 of Resource 4 and 5 of Resource 5.

1g) Would we expect Product 6 to be produced - i.e., if we are to produce products to

optimise our objective function, would we produce any copies of this new product?

If we would expect Product 6 to be produced, then how much less profitable could Product 6

be and still be produced?

If we would not expect Product 6 to be produced, then how much more profitable would

Product 6 need to be in order to be produced?

Let us again return to the original problem above from part d, where the profitability of the

various products was (510, 300, 510, 270, 810).

Various employees at the company have considered making changes which would affect the

profitability of various products.

One change would result in (512, 301, 511, 269, 811).

1h) Explaining your reasoning, when compared to your original answer using

(510, 300, 510, 270, 810), would your optimal amount to be produced of each of Product1, ...,

Product5 change? Explain clearly why or why not. And, if the amounts produced would

change, explain clearly with any necessary or relevant calculations what they would change

to.

1i) A second change, if it really could be carried out in practice, would double

the values to become (1020, 600, 1020, 540, 1620).

Explaining your reasoning, when compared to your original answer using (510, 300, 510, 270,

810), would your optimal amount to be produced of each of Product1, ..., Product5

change? Explain clearly why or why not. And, if the amounts produced would change,

explain clearly with any necessary or relevant calculations what they would change to.

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1j) A third change, which would probably not be a good idea, would halve the

values to become (255, 150, 255, 135, 405).

Nonetheless, if such a change were to take place then, explaining your reasoning, when

compared to your original answer using (510, 300, 510, 270, 810), would your optimal

amount to be produced of each of Product1, ..., Product5 change? Explain clearly why or

why not. And, if the amounts produced would change, explain clearly with any necessary or

relevant calculations what they would change to.

1k) Returning to the original problem and solution from part d, suppose we now

introduce the requirement that Product1, Product2 and Product 5 must be produced in equal

amounts.

Compared to the original feasible region (from part d), does adding this new requirement

make the feasible region larger, stay the same, smaller, or something else? Clearly explain

your answer.

1l part 1) Continuing from part k with this newly introduced requirement that

Product1, Product2 and Product 5 must be produced in equal amounts, what is the optimal

amount to be produced of each of Product1, Product2, Product3, Product4, Product5?

11 part 2) What is the resultant profit (stated to at least 3 decimal places)?

For both part 1 and part 2 of 1l, (in keeping with note 4,) clearly show all working.

Returning to the original problem from part d, suppose we now introduce the additional

requirement that Product1, Product2, Product 3, Product 4 and Product 5 must be produced in

integer amounts.

1m part 1) What is the optimal amount to be produced of each of Product1, Product2,

Product3, Product4, Product5?

1m part 2) What is the optimal value of the objective function?

For both part 1 and part 2, (in keeping with note 4,) clearly show all working.

1n) Continuing on from part m above, assume the same unit profits as before but

now with fixed start-up costs as given below.

Product Product 1 Product 2 Product 3 Product 4 Product 5

Unit Profit $510 $300 $510 $270 $810

Fixed-cost (Start-up cost) 2000 4000 8000 16000 1000

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1n part 1) What is the optimal amount to be produced of each of Product1, Product2,

Product3, Product4, Product5?

1n part 2) What is the optimal value of the objective function?

For both part 1 and part 2, (in keeping with note 4,) clearly show all working.

Return to part n above.

Suppose we now impose the additional constraint that, if Product3 is produced,

then there must be a minimum of 225 and a maximum of 325 of Product3 produced.

1o part 1) What is the optimal amount to be produced of each of Product1,

Product2, Product3, Product4, Product5?

1o part 2) What is the optimal value of the objective function?

For both part 1 and part 2, (in keeping with note 4,) clearly show all working.

Return to part n above.

Suppose we now change the additional constraint from part 1o (immediately above) to be

that, if Product3 is produced, then

there must be a minimum of 300 and a maximum of 450 Product 3 produced,

and (also) the amount produced of Product3 must also be a multiple of 50.

1p part 1) What is the optimal amount to be produced of each of Product1,

Product2, Product3, Product4, Product5?

1p part 2) What is the optimal value of the objective function?

For both part 1 and part 2, (in keeping with note 4,) clearly show all working.

Return to part n above.

Now suppose that we introduce the requirement that, if Product 2 is produced, then the

amount of Product 2 produced must be one of 102, 103, 105, 107, 111 and we also introduce

the further additional requirement that, if Product 4 is produced, then the amount produced of

Product4 must be one of 320, 330, 350, 370, 410.

1q part 1) What is the optimal amount to be produced of each of Product1,

Product2, Product3, Product4, Product5?

1q part 2) What is the optimal value of the objective function?

For both part 1 and part 2, (in keeping with note 4,) clearly show all working.

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Remove these most recent additional constraints and again return to part n above.

Suppose we now add the requirements that

Product1 and Product2 are produced in equal abundance,

Product4 and Product5 are produced in equal abundance,

if Product 3 is produced then neither product 1 nor product 2 is produced,

if Product 3 is produced then at least 10 and at most 100 of Product 5 are produced.

1r part 1) What is the optimal amount to be produced of each of Product1, Product2,

Product3, Product4, Product5?

1r part 2) What is the optimal value of the objective function?

For both part 1 and part 2, (in keeping with note 4,) clearly show all working.

Throughout, recall note 4 above: ``Note 4: As a general rule, don’t just give a number or an answer like

`Yes’ or `No’ without at least some clear and sufficient explanation - or, otherwise, you risk being awarded 0

marks for the relevant exercise. Evidence of working is expected to be shown. Make it easy for the person

marking your work to follow your reasoning. Evidence of working includes - but is not limited to - showing

clearly relevant spreadsheet tabs for every question and sub-question requiring calculations. Please understand

that a failure to require a spreadsheet tab when one is relevant for a question or sub-question could result in very

few - or potentially even zero - marks for the relevant question or sub-question. Your .pdf should typically

cross-reference the corresponding answer in your spreadsheet. For each sub-question and exercise, provide a

clearly labelled spreadsheet tab with clear content and appropriate use of colours, accompanied with clearly

cross-referenced clear .pdf explanation. Put another way, make sure that everything in your assignment is there,

and make it easy for the marker to find it. Again, without clear cross-reference between .pdf and spreadsheet tab,

there is the possibility that any such exercise will be awarded 0 marks.’’

7

Question 2 – Transshipment and networks [2 + 3 + 6 + 4 + 3 + 3 + 3 + 3 + 3 + 2 =

32 marks]

Suppose we have a product (possibly masks, possibly shields, possibly containers of hand

sanitiser) that we wish to move from two locations (let’s call them node 1 and node 2, both

with a supply of 75) to two other locations (let’s call them node 7 and node 8, with demands

of 80 and 70 respectively).

We initially assume the transportation costs along edges in the network to be as follows:

From To Unit Cost ($)

Students are expected and required to address question 2 in terms of linear programming (LP)

and - if required - the closest possible variants.

2a) State the variables, and use these variables to state the objective function that we wish

to optimise. (We assume that the cost is something that we wish to minimise.)

2b) How many variables are there? Informally in terms of the network, being as specific

as you can, what do the variables correspond to?

2c) Solve the problem of the flow along edges giving the minimum cost.

Show the amounts of flow along the edges. State the value of the objective function.

State the number of edges with non-zero flow (and, for ease of reference, call this e2c

).

2d) Assuming that the number of edges with non-zero flow is less than e2c

(equivalently,

less than or equal to e2c

- 1), again solve the problem of the flow along edges giving the

minimum cost.

Show the amounts of flow along the edges. State the value of the objective function.

State the number of edges with non-zero flow.

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2e) If the problem is to have a solution of finite cost (any possible solution at all) in

which goods get from the source/supply/starting points to the demand/sink destination points,

what is the smallest number of edges that can have non-zero flow for such a solution to

occur?

Hint: One way of doing this is to introduce a very large penalty for each edge with non-zero

flow.

In that case (if we require that only this smallest possible number of edges be used), what is

the minimum such cost? (If you followed the hint immediately above, then make sure to

remove the newly introduced large penalty when giving your answer.)

2f) Return to the problem from parts a, b and c above.

Due to maintenance problems along the edge between node 4 and node 5, the unit cost of

using this edge is $40/unit up to 30 units, then $60/unit thereafter.

Show how to solve this problem. In keeping with note 4, solve this problem.

2g) Following on from part f above, due to further maintenance problems along the edge

between node 4 and node 5, the unit cost of using this edge is $40/unit up to 30 units, then

$60/unit up to 55 units (i.e., we could have 30 units @ $40/unit and 25 units @ $60/unit, as

30 + 25 = 55), then $110/unit thereafter.

Show how to solve this problem. In keeping with note 4, solve this problem.

2h) We modify the original problem from parts a, b and c to be a shortest path problem.

The edge costs (from parts a, b and c) should now be assumed to be the length of the edge.

What is the shortest path from node 2 to node 8, and what is the length of the path?

Show how to solve this problem. In keeping with note 4, solve this problem.

2i part 1) Following on from part h, how would you modify your answer if we require that

the path from node 2 to node 8 has to go through node 5?

2i part 2) Following on from part h, how would you modify your answer if we require that

the path from node 2 to node 8 has to go through node 6?

Show how to solve this problem. In keeping with note 4, solve both parts of this problem.

Following on from the themes of part h and part i above, we now ask an open question worth

bonus marks. (The motivation might be that someone has to collect face masks and shields

on their way to a destination, but the order in which they collect them doesn’t matter.)

2j) Suppose we have a start node (call it A), and a destination node (call it D) and two

intermediate nodes (call them B and C respectively) that we have to go through. Suppose also

that we are allowed to go A to B to C to D and we are also allowed to go A to C to B to D,

and that this is not known or specified in advance. How might we set this up as a linear

programming (LP) problem?

We do not require a complete solution for 2j immediately above but wish you to explain in

detail how you would set this up.

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Throughout, recall note 4 above: ``Note 4: As a general rule, don’t just give a number or an answer like

`Yes’ or `No’ without at least some clear and sufficient explanation - or, otherwise, you risk being awarded 0

marks for the relevant exercise. Evidence of working is expected to be shown. Make it easy for the person

marking your work to follow your reasoning. Evidence of working includes - but is not limited to - showing

clearly relevant spreadsheet tabs for every question and sub-question requiring calculations. Please understand

that a failure to require a spreadsheet tab when one is relevant for a question or sub-question could result in very

few - or potentially even zero - marks for the relevant question or sub-question. Your .pdf should typically

cross-reference the corresponding answer in your spreadsheet. For each sub-question and exercise, provide a

clearly labelled spreadsheet tab with clear content and appropriate use of colours, accompanied with clearly

cross-referenced clear .pdf explanation. Put another way, make sure that everything in your assignment is there,

and make it easy for the marker to find it. Again, without clear cross-reference between .pdf and spreadsheet tab,

there is the possibility that any such exercise will be awarded 0 marks.’’

Question 3 – Economic Order Quantity (EOQ) [10 marks]

Suppose that we have an ordering problem with variable costs.

We have a deterministic annual demand of 1000. The cost of placing an order (of any

positive non-zero amount) is $21 for an order. The holding cost of storing items is 25% (or

1/4) per annum of the cost of the goods. (Equivalently, if we wish to change from a year’s

annual demand to the demand over 10 years in a decade, the deterministic demand in a decade

would be 10,000 and the holding cost would be 250% of the cost of the goods. It will be safe

to address the problem in terms of years rather than decades.) As many goods as required can

be held in inventory indefinitely and not be thrown away.

The cost of each good is $4.00 up to 794 units ordered. If we order from 795 up to 1099, we

get a 5% discount and the cost of each good is $3.80. If we order from 1100 up to 1859, we

get an 8% discount and the cost of each good is $3.68. If we order 1860 or more, we get a

15% discount and the cost of each good is $3.40.

What is the optimal order quantity and the optimal total annual cost?

In keeping with note 4, clearly show all working.

A note about your Spreadsheet Model

When building your model, bear in mind the goals and guidelines for good spreadsheet design

as discussed in Lecture 3. Marks are given for good spreadsheet design. Marks will possibly

also be given for originality. Format both your models clearly with comments (and, if

possible, shading), etc. so that it is easy for the user to distinguish which cells are occupied by

decision variables, LHS and RHS constraints, and the objective function. Include a textbox in

each worksheet that describes the formulation in terms of cell references in your model.

Instructions:

You are to upload your submission on the FIT5097 Moodle site and should include the

following:

1. A text-based .pdf document (save as:

FamilyName-StudentId-2ndSem2020FIT5097.pdf) that includes all your answers to

Questions 1 and 2 and 3 (except for the Microsoft Excel Solver part of each

question); and

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2. A Microsoft Excel workbook (save as:

FamilyName-StudentId-2ndSem2020FIT5097.xlsx) that includes the following

spreadsheets:

i. the spreadsheet model for Question 1;

ii. Sensitivity Rep – the sensitivity report for the Question 1 model (and any other

relevant parts);

iii. other relevant things (including any calculations) for Question 1;

iv. relevant things (including any calculations) for Question 2

v. relevant things (including any calculations) for Question 3

vi. etc.

vii. Anything else you deem sufficiently relevant.

Recall that, at the time you submit (1 and 2) to Moodle, the text-based .pdf will undergo a

similarity check by Turnitin. This is done at the time you upload your assignment to Moodle.

It is also our intention to perform such a check on your .xls/.xlsx file at the same time.

(This ends the submission instructions. Please read them and the notes on pages 1-2

carefully. Also recall that, as a general rule, when answering questions, don’t just give a

number or an answer like `Yes’ or `No’ without at least some clear and sufficient

explanation.)

Late penalties:

Work submitted after the deadline (possibly with a small amount of grace time) will be

subject to late penalties in accordance with the FIT5097 Unit Guide and Faculty and

University policies, and (unless any of the following contravenes the relevant policies)

certainly no less than 5% per calendar day, possibly as much as 10% per calendar day.

If you do not submit matching .pdf and .xls/.xlsx files (e.g., if you submit two files but one is

blank or unreadable, or if you only submit one file), then your work will be deemed late - and

will be subject to the relevant penalties, possibly receiving a mark of 0.

Work submitted 10 or more calendar days after the deadline will be given a mark of 0.

Plagiarism declaration:

You are required to state explicitly that you have done your own work, however the Moodle

assignment submission details permit you to declare this.

For example, if you are presented with an 'Assignment Electronic Plagiarism Statement', then

you are required to complete the 'Assignment Electronic Plagiarism Statement' quiz on the

FIT5097 Moodle site and accept the Student Statement (electronic version of the Assignment

cover sheet). If you do not accept the Student Statement, then your assignment may not be

marked, and you may be given a mark of 0.

Recall instructions above and notes on pages 1 to 2 (including but not only, e.g., Note 4,

Academic Integrity, Special Consideration, make sure to hit the `Submit’ button, the

scheduled interview is compulsory if you want a mark of greater than 0, etc.), and please

follow these carefully.

And a reminder not to post even part of a proposed partial solution to even part of an item

open for assessment to Ed Discussions, a Moodle forum or other public location. You are

reminded that Monash University takes academic integrity very seriously.

*** END FIT5097 Assignment Faculty of I.T., Monash University 2

nd

semester 2020 ***

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