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SCIE1000 Python and Communication Assignment

创建日期：2024-06-20 15:39:31

所属分类：计算机computer science

标签： SCIE1000

Python and Communication Assignment

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SCIE1000

Python and Communication Assignment
1 The scenario
A public science museum in St Lucia is planning to update its exhibit. A feature of the museum
is that each exhibit item is accompanied by two explanations, each written for a different audience.
One explanation is pitched to the “science rookie” and the other to the “science enthusiast”. Patrons
read the explanation tailored to the level at which they feel most comfortable. Some characteristics
of a typical audience member in each category are described in Table 1.
Patron Type Typical characteristics
Science Rookie Not familiar with scientific terminology or notation;
will need terminology explained using a simple vocabulary;
is unfamiliar with graphs;
may be a younger person, possibly 10+ years of age;
likes to press buttons.
Science Enthusiast Familiar with common scientific terminology and notation (not overly technical);
will need terminology explained using somewhat sophisticated vocabulary;
is prepared to read longer passages of moderate complexity;
is familiar with graphs;
likes to press buttons.
Table 1: Characteristics of different patrons
The museum is planning an exhibition called “Mother Nature, the Mother of Invention.” The
topic is biomimicry, and the aim is summarised in the following passage from the exhibition prospectus:
With this exhibition we aim to instil in our patrons a sense of wonder at the abilities
displayed by animals to withstand harsh environments. Patrons will learn about mechanisms
by which certain animals can improve the survivability of a group as a whole, and
consider possible developing technologies that mimic these natural behaviours.
Recently, biomimicry research has looked at applying the modelling of emperor penguin huddles
to multi-robot systems, with the aim of improving the survivability of the robot group in harsh
environments [5].
The museum director has asked the SCIE1000 teaching team for help in finding skilled volunteers
to develop exhibit items. Once developed, the items will be maintained and potentially modified
by museum staff, each of whom has a strong background in high-school mathematics, together with
at least a beginners level of Python experience. We assured the director that SCIE1000 students
are skilled at: making mathematical models using a mathematical toolkit familiar to any student
of Mathematical Methods (aka Maths B, or equivalent); writing Python programs, including those
which use arrays, loops, plots and new functions; and communicating scientific information to various
audiences.
1
2 An overview of the task
You will write an interactive Python program that will run on a machine in the exhibition hall
at the new science museum, as part of this exhibition. Your program will guide users to a better
understanding and appreciation of how and why emperor penguins form huddles. The information
you need to create the relevant models is provided in Section 5 of this document, and a high-level
overview of how to complete the task is provided in Section 6.
This assignment requires you to produce and deliver two items:
(D1) A Python code file that satisfies the specifications in Section 7. This includes following the
logical flow laid out in the flow chart provided in Figure 4 (see Page 10).
(D2) An audio-video screencapture file (3-4 minutes long) in which you show your code and communicate
the overview of your approach to museum staff who will need to maintain your code.
3 Submission and grading
Both deliverables (D1) and (D2) are to be uploaded via Blackboard submission link by 2pm on
27 May, 2021. Late submissions without an approved extension will be penalised according to the
policy in the ECP; consult Section 5.3 of the Electronic Course Profile for more information.
Your submitted code will be run and tested as part of this grading process. A rubric (grading
criteria) for this assignment is on Page 11. The file that you submit will be checked using software
which is specially designed to detect plagiarism in code. Consult Section 6.1 of the ECP for more
information and procedures concerning plagiarism.
This assignment has an advanced section which must be attempted by students aiming for
grades of 6 or 7 (see the grading criteria for more explanation). The shaded section of the flow chart
indicates this advanced section, and more information is provided in Section 5.5. If you have any
questions, please contact the course lecturers via Campuswire (see Section 4 below).
4 About getting help
This assignment is a piece of summative assessment, designed to let you demonstrate your level of
mastery of several learning objectives in this course. As such, it is very important that the work you
submit is all your own. This does not mean that you cannot receive help in regards to this assignment,
but that help must be limited to general advice about modelling, Python and communication. This
task sheet has been carefully constructed, and part of your job is to interpret the information it
contains. Some choices have been left to your judgement, and this is intentional.
Remember that you must not look at anyone else’s code and you must not show your code to
anyone. Both of these actions are examples of behaviour that may be considered academic misconduct.
No code from your assignment attempt should be posted on the course Campuswire site, or
any other site, at any time. However, if you have problems with your code, you may develop some
generic sample code that demonstrates the issue that you are having (but does not relate to the
assignment). This can be discussed with others and/or posted to Campuswire for assistance. All
such Campuswire posts should be made visible to all students, so that everyone can see the question
and the answer from lecturers.
2
5 Modelling Emperor Penguin Huddles
5.1 Emperor penguins and breeding
Penguins are flightless birds, with flippers instead of wings, adapted to living in a marine environment.
Emperor penguins (Aptenodytes forsteri) live on the Antarctic continent and are the largest known
species of penguin, with adults weighing around 40 kg [2]. The emperor penguin is the only bird
that breeds during the Antarctic winter. They breed on sea ice which is well away from the ocean
where these penguins feed. Emperor penguins mate in late April and May. Once a female penguin
lays an egg, she returns to the sea, usually around late May / early June [2]. Male emperor penguins
protect and incubate the egg by placing it carefully between their feet and a fold of their skin; it
takes between 65 − 75 days for the egg to hatch [2]. This means that by the time the male penguins
finally return to the ocean for food, they have been fasting for about four months [3]. Once a chick
hatches, emperor penguins share parental duties [2].
The museum exhibition is interested in explaining the conditions experienced by a male emperor
penguin, protecting an egg, in a harsh Antarctic winter (approximately June-August).
5.2 Modelling winter temperatures in the Antarctic continent
In 2008, the authors of [9] studied “a medium-sized emperor penguin colony (∼ 2000 animals)” close
to Neumayer Antarctic Research Station (70◦S 8◦W). To model the temperatures faced by emperor
penguins, we will use meteorological data from Neumayer Antarctic Research Station. The table
below is adapted from [4], and is restricted to some of the coldest months of the year.
Month May June July August Sept
Mean temp (◦C) −21 −22 −24 −23 −23
Max temp (◦C) −2 −5 −4 −4 −3
Min temp (◦C) −45 −45 −46 −44 −46
Table 2: Mean, maximum and minimum air temperature values, Neumayer station from 1993-2004
To model the average (mean) daily temperatures in the winter months, we will use a simple model
for the average temperature Tavg (in ◦C) over time (in days since 1 June). Our model assumptions
are:
• On 1 June Tavg = −21◦C;
• Tavg declines linearly from 1 June until 16 July, at which point Tavg = −24◦C;
• Tavg increases linearly from 16 July until 31 August, at which point Tavg = −23◦C.
Temperature varies throughout the day as well. In Table 2, we are given the minimum and
maximum temperatures seen in a given month, over about a decade of measurements. A typical
day usually does not vary as drastically as those highest and lowest recorded temperatures; most
measurements were within 8 − 10◦C of the average daily recordings [4]. To model the temperature
at a given time of the day, you may use a sine function, with parameters that you must choose based
on the information provided here.
3
5.3 Wind Chill
When very cold temperatures are combined with winds, the apparent temperature (or wind-chill
temperature) will feel colder than the air temperature. A model for the apparent temperature AT
in ◦C, which is used by the National Weather Service in the USA and by Environment Canada (see
for example, [8]) is:
AT = 13.112 + 0.6215T − 11.37v
0.16 + 0.3965T v0.16
,
where T is the air temperature in ◦C and v is the wind speed in km/h (assumed to be at least 5
km/h). Environment Canada recommends the model is only used for air temperatures strictly less
than 0◦C [8].
Average wind speeds experienced by emperor penguin colonies are around 15 km/h [3] with
typical maximum wind speeds of about 30 km/h [9]. However, emperor penguins have been known
to endure wind speeds of up to 180 km/h [9].
5.4 Huddling
Emperor penguins form large huddles in order to protect the group from the cold [1, 3, 9, 7]. Huddling
decreases the required energy expenditure of individual penguins [1]. Temperatures inside a huddle
have been found to reach temperatures as high as about 37◦C [3].
Huddles can be “loose” or “tight” [3, 6], where a tight huddle has a high density, nearly hexagonal
packing arrangement [9]. The images in Figure 1 are taken from [6] and show examples of emperor
penguin huddles. Huddles are not motionless; even in tight huddles, where individual movement
is not possible, the penguins slowly shuffle as a group. The shape of a tight huddle, when viewed
from above, may be circular or more elongated. As wind speed increases, penguins on the outside
of the huddle receiving the most wind and exposure to the cold will shift along the huddle so that
they move to the back of the huddle, where they are then protected from the wind, creating a more
elongated shape.
Figure 1: Examples of loose (left) and tight (right) emperor penguin huddles.
In a 2008 study of emperor penguins, Gilbert et al.[3] found that wind speed had a positive
impact on the number of loose huddles formed per day and temperature had a significant effect on
the number of tight huddles formed per day.
4
5.5 Details on effects of wind on huddle shape (Advanced Section only)
An enthusiast user is likely to be interested in the modelling done by Waters et al. [7] on the effect of
wind on penguin huddle shapes. The key assumption of their model is that each individual penguin
seeks to reduce its own heat loss. Thus, in their model, a penguin on the boundary of the huddle
exposed to the wind will move downwind, to the leeward side of the huddle in order to be protected
from the wind. In [7], the authors say, “Our model recovers important features of actual huddles such
as their overall shape, downwind motion, and an equal distribution of access to the benefits of the
huddle among penguins.”
Figure 2: Time progression of penguin huddle simulation with 100 penguins [7].
Waters et al. [7] claim
For small [wind speeds], when diffusive effects act to render the temperature distribution
nearly uniform, the aspect ratio is close to one, depicting a more circular huddle. In
contrast, for large [wind speeds], where only a small leeward region is sheltered from the
wind, the aspect ratio is much larger than one, depicting a more elongated huddle....The
wind pushes the heat distribution more narrowly around the huddle, causing the locations
on the upper and lower edges of the huddle to exhibit more heat loss and thus be less attractive
to relocating penguins. As a result, the huddle formation loses a layer of thickness
and becomes more elongated.
The shape of a tight huddle, when viewed from above, may be circular or more elongated and
can be roughly modelled by an ellipse (see Figure 3).
5
Major axis
Minor axis
Figure 3: General shape of an ellipse. The shortest and longest axes are called the minor and major
axis, respectively.
Waters et al. [7] describe the P´eclet number, Pe, as a non-dimensional number that is proportional
to the wind speed and therefore captures the effects of varying the strength of the wind. They used
model simulations to study how huddle thickness w relates to Pe, where the huddle thickness is given
by the number of penguins across the minor axis.
The following data is adapted from simulations in [7] with 400 penguins. You may assume that
the number of penguins across the major axis of the ellipse shape is approximately 400/w.

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