Teaching Students to Communicate as Mathema3cians
November 27, 2018
Susan Ruff
Lecturer II Wri3ng, Rhetoric, and Professional Communica3on Department of Compara3ve Media Studies/Wri3ng MassachuseIs Ins3tute of Technology
Teaching Students to Communicate as Mathema3cians November 27, 2018 - - PowerPoint PPT Presentation
Teaching Students to Communicate as Mathema3cians November 27, 2018 Susan Ruff Lecturer II Wri3ng, Rhetoric, and Professional Communica3on Department of Compara3ve Media Studies/Wri3ng MassachuseIs Ins3tute of Technology Teaching Students to
Lecturer II Wri3ng, Rhetoric, and Professional Communica3on Department of Compara3ve Media Studies/Wri3ng MassachuseIs Ins3tute of Technology
Lecturer II Wri3ng, Rhetoric, and Professional Communica3on Department of Compara3ve Media Studies/Wri3ng MassachuseIs Ins3tute of Technology
15 communica3on- intensive subjects:
subjects (mostly proof wri3ng)
seminars
in mathema3cs
Entering a community of practice requires knowledge of various domains
Entering a community of practice requires knowledge of various domains
Genre system for research Funding proposal Notebook Mee3ngs and emails with collaborators Colloqium talk
arXiv preprint Referee report Journal ar3cle Expository ar3cle
Entering a community of practice requires knowledge of various domains
Q: Which domains challenge your students most?
Students Community of Mathematicians
Students Community of Mathematicians
Students Community of Mathematicians
Students Community of Mathematicians
Image courtesy of MIT Open Courseware
arXiv:1605.09223v1 [math.CO] 30 May 2016
O N L A R G E S U B S E T S O F F
n qW I T H N O T H R E E
E R M A R I T H M E T I C P R O G R E S S I O N
JORDAN S. ELLENBERG AND DION GIJSWIJTT h e p r
l e m
fi n d i n g l a r g e s u b s e t s
a n a b e l i a n g r
p G w i t h n
h r e e
e r m a r i t h m e t i c p r
r e s s i
,
fi n d i n g u p p e r b
n d s f
t h e s i z e
s u c h a s u b s e t , h a s a l
g h i s t
y i n n u m b e r t h e
y . T h e m
t i n t e n s e a t t e n t i
h a s c e n t e r e d
t h e c a s e s w h e r e G i s a c y c l i c g r
p Z / N Z
a v e c t
s p a c e ( Z / 3 Z )
n, w h i c h a r e i n s
e s e n s e t h e e x t r e m e s i t u a t i
s . W e d e n
e b y r
3( G ) t h e m a x i m a l s i z e
a s u b s e t
G w i t h n
h r e e
e r m a r i t h m e t i c p r
r e s s i
. T h e f a c t t h a t r
3( ( Z / 3 Z )
n) i s
3
n) w a s fi r s t p r
e d b y B r
n a n d B u h l e r [ B B 8 2 ] , w h i c h w a s i m p r
e d t
( 3
n/ n ) b y M e s h u l a m [ M e s 9 5 ] . T h e b e s t k n
n u p p e r b
n d , O ( 3
n/ n
1 +, i s d u e t
a t e m a n a n d K a t z [ B K 1 2 ] . T h e b e s t l
e r b
n d , b y c
t r a s t , i s a r
n d 2 . 2
n[ E d e 4 ] . T h e p r
l e m
a r i t h m e t i c p r
r e s s i
s i n ( Z / 3 Z )
nh a s s
e t i m e s b e e n s e e n a s a m
e l f
t h e c
r e s p
d i n g p r
l e m i n Z / N Z . W e k n
( f
i n s t a n c e , b y a c
s t r u c t i
B e h r e n d [ B e h 4 6 ] ) t h a t r
3( Z / N Z ) g r
s m
e q u i c k l y t h a n N
1 −e v e r y
. T h u s i t i s n a t u r a l t
s k w h e t h e r r
3( ( Z / 3 Z )
n) g r
s m
e q u i c k l y t h a n ( 3 −
f
e v e r y
. I n g e n e r a l , t h e r e h a s b e e n n
s e n s u s
w h a t t h e a n s w e r t
h i s q u e s t i
s h
l d b e . I n t h e p r e s e n t p a p e r w e s e t t l e t h e q u e s t i
, p r
i n g t h a t f
a l l
d p r i m e s p , r
3( ( Z / p Z )
n)
1 / ni s b
n d e d a w a y f r
p a s n g r
s . T h e m a i n t
u s e d h e r e i s t h e p
y n
i a l m e t h
, i n p a r t i c u l a r t h e u s e
t h e p
y n
i a l m e t h
d e v e l
e d i n t h e b r e a k t h r
g h p a p e r
C r
, L e v , a n d P a c h [ C L P 1 6 ] , w h i c h d r a s t i c a l l y i m p r
e d t h e b e s t k n
n u p p e r b
n d s f
r
3( ( Z / 4 Z )
n) . I n t h i s c a s e , t h e y s h
t h a t a s u b s e t
G w i t h n
h r e e
e r m a r i t h m e t i c p r
r e s s i
h a s s i z e a t m
t c
nf
s
e c < 4 . I n t h e p r e s e n t p a p e r , w e s h
t h a t t h e i d e a s
t h e i r p a p e r c a n b e e x t e n d e d t
e c t
s p a c e s
e r a g e n e r a l fi n i t e fi e l d . R e m a r k 1 . T h e i d e a s
t h i s p a p e r w e r e d e v e l
e d i n d e p e n d e n t l y a n d e s s e n t i a l l y s i m u l t a n e
s l y b y t h e t w
u t h
s . S i n c e t h e a r g u m e n t s
r t w
a p e r s w e r e e s s e n t i a l l y i d e n t i c a l , w e p r e s e n t t h e m a s j
n t w
k . W e b e g i n w i t h a s l i g h t g e n e r a l i z a t i
L e m m a 1
[ C L P 1 6 ] . L e t F
qb e a fi n i t e fi e l d a n d l e t n b e a p
i t i v e i n t e g e r . L e t M
nb e t h e s e t
m
i a l s i n x
1, . . . , x
nw h
e d e g r e e i n e a c h v a r i a b l e i s a t m
t q − 1 , a n d l e t S
nb e t h e F
qe c t
s p a c e t h e y s p a n .
Date: 27 May 2016. The first author is supported by NSF Grant DMS-1402620 and a Guggenheim Fellowship. We thank Terry Tao, Tim Gowers, and Seva Lev for useful discussions during the production of this paper. 1Large faculty-led lectures on topic (e.g., discrete mathema3cs) Smaller, more ac3ve “recita3ons” Wri3ng = proving assigned statements Legi3mate peripheral par3cipa3on? Valuable? Example: teaching “audience” via hypothe3cal scenarios vs. published versions of same result: research ar3cle, Quanta ar3cle, blog post
arXiv:1605.09223v1 [math.CO] 30 May 2016
O N L A R G E S U B S E T S O F F
n qW I T H N O T H R E E
E R M A R I T H M E T I C P R O G R E S S I O N
JORDAN S. ELLENBERG AND DION GIJSWIJTT h e p r
l e m
fi n d i n g l a r g e s u b s e t s
a n a b e l i a n g r
p G w i t h n
h r e e
e r m a r i t h m e t i c p r
r e s s i
,
fi n d i n g u p p e r b
n d s f
t h e s i z e
s u c h a s u b s e t , h a s a l
g h i s t
y i n n u m b e r t h e
y . T h e m
t i n t e n s e a t t e n t i
h a s c e n t e r e d
t h e c a s e s w h e r e G i s a c y c l i c g r
p Z / N Z
a v e c t
s p a c e ( Z / 3 Z )
n, w h i c h a r e i n s
e s e n s e t h e e x t r e m e s i t u a t i
s . W e d e n
e b y r
3( G ) t h e m a x i m a l s i z e
a s u b s e t
G w i t h n
h r e e
e r m a r i t h m e t i c p r
r e s s i
. T h e f a c t t h a t r
3( ( Z / 3 Z )
n) i s
3
n) w a s fi r s t p r
e d b y B r
n a n d B u h l e r [ B B 8 2 ] , w h i c h w a s i m p r
e d t
( 3
n/ n ) b y M e s h u l a m [ M e s 9 5 ] . T h e b e s t k n
n u p p e r b
n d , O ( 3
n/ n
1 +, i s d u e t
a t e m a n a n d K a t z [ B K 1 2 ] . T h e b e s t l
e r b
n d , b y c
t r a s t , i s a r
n d 2 . 2
n[ E d e 4 ] . T h e p r
l e m
a r i t h m e t i c p r
r e s s i
s i n ( Z / 3 Z )
nh a s s
e t i m e s b e e n s e e n a s a m
e l f
t h e c
r e s p
d i n g p r
l e m i n Z / N Z . W e k n
( f
i n s t a n c e , b y a c
s t r u c t i
B e h r e n d [ B e h 4 6 ] ) t h a t r
3( Z / N Z ) g r
s m
e q u i c k l y t h a n N
1 −e v e r y
. T h u s i t i s n a t u r a l t
s k w h e t h e r r
3( ( Z / 3 Z )
n) g r
s m
e q u i c k l y t h a n ( 3 −
f
e v e r y
. I n g e n e r a l , t h e r e h a s b e e n n
s e n s u s
w h a t t h e a n s w e r t
h i s q u e s t i
s h
l d b e . I n t h e p r e s e n t p a p e r w e s e t t l e t h e q u e s t i
, p r
i n g t h a t f
a l l
d p r i m e s p , r
3( ( Z / p Z )
n)
1 / ni s b
n d e d a w a y f r
p a s n g r
s . T h e m a i n t
u s e d h e r e i s t h e p
y n
i a l m e t h
, i n p a r t i c u l a r t h e u s e
t h e p
y n
i a l m e t h
d e v e l
e d i n t h e b r e a k t h r
g h p a p e r
C r
, L e v , a n d P a c h [ C L P 1 6 ] , w h i c h d r a s t i c a l l y i m p r
e d t h e b e s t k n
n u p p e r b
n d s f
r
3( ( Z / 4 Z )
n) . I n t h i s c a s e , t h e y s h
t h a t a s u b s e t
G w i t h n
h r e e
e r m a r i t h m e t i c p r
r e s s i
h a s s i z e a t m
t c
nf
s
e c < 4 . I n t h e p r e s e n t p a p e r , w e s h
t h a t t h e i d e a s
t h e i r p a p e r c a n b e e x t e n d e d t
e c t
s p a c e s
e r a g e n e r a l fi n i t e fi e l d . R e m a r k 1 . T h e i d e a s
t h i s p a p e r w e r e d e v e l
e d i n d e p e n d e n t l y a n d e s s e n t i a l l y s i m u l t a n e
s l y b y t h e t w
u t h
s . S i n c e t h e a r g u m e n t s
r t w
a p e r s w e r e e s s e n t i a l l y i d e n t i c a l , w e p r e s e n t t h e m a s j
n t w
k . W e b e g i n w i t h a s l i g h t g e n e r a l i z a t i
L e m m a 1
[ C L P 1 6 ] . L e t F
qb e a fi n i t e fi e l d a n d l e t n b e a p
i t i v e i n t e g e r . L e t M
nb e t h e s e t
m
i a l s i n x
1, . . . , x
nw h
e d e g r e e i n e a c h v a r i a b l e i s a t m
t q − 1 , a n d l e t S
nb e t h e F
qe c t
s p a c e t h e y s p a n .
Date: 27 May 2016. The first author is supported by NSF Grant DMS-1402620 and a Guggenheim Fellowship. We thank Terry Tao, Tim Gowers, and Seva Lev for useful discussions during the production of this paper. 1Large faculty-led lectures on topic (e.g., discrete mathema3cs) Smaller, more ac3ve “recita3ons” Wri3ng = proving assigned statements Legi3mate peripheral par3cipa3on? Valuable? Example: teaching “audience” via hypothe3cal scenarios vs. published versions of same result: research ar3cle, Quanta ar3cle, blog post Q: How do/could you demys/fy for your students what it means to communicate as a mathema/cian?
Students Community of Mathematicians
10/20 Rhetorical context in industry (Vasily Strela) 11/17 Reproducible research 9/8 linear algebra 9/15 fixed income assets 9/22 forward rate agreements 10/13 quiz review 10/27 regulation 11/3 statistics 9/8 Sweave 9/22 Tools for figures 12/1 Informal peer critique 10/27 Model documentation (Michal Kowalik) 11/3 Statistical analyses 9/8 Context/Summary 9/15 Development 9/22 Figure Design 10/6 Flow 12/1 Elevator Pitch
Example is from Topics in Math with Applica3ons to Finance
Choose a published paper that reinforces course content. What is the purpose of the paper? What strategies does the author use to – convince readers? – help readers understand? – interest readers? Which conven/ons noted on “Maximum Overhang” does the author follow? Are these choices effec/ve? Summarize own process.
M a x i m u m O v e r h a n g
M i k e P a t e r s
, Y u v a l P e r e s , M i k k e l T h
u p , P e t e r W i n k l e r , a n d U r i Z w i c k
believed to be of order log n. Recently, Paterson and Zwick constructed n-block stacks with overhangs of order n1/3, exponentially better than previously thought possible. We show here that order n1/3 is indeed best possible, resolving the long-standing overhang problem up to a constant factor. This problem appears in physics and engineering textbooks from as early as the mid-19th century (see, e.g., [15], [20], [13]). The problem was apparently first brought to the attention of the mathematical community in 1923 when J. G. Coffin [2] posed it in the “Problems and Solutions” section of this MONTHLY; no solution was presented
19, 12, 6, 5, 7, 8, 1, 4, 9, 10], achieving much added notoriety from its appearance in 1964 in Martin Gardner’s “Mathematical Games” column of Scientific American [7] and in [8, Limits of Infinite Series, p. 167].
1 11 12 ≃ 0.916667 25 24 ≃ 1.04167 15−4 √ 2 8 ≃ 1.16789 Figure 1. Optimal stacks with 3 and 4 blocks, compared to the corresponding harmonic stacks. The 4-block solution is from [1]. Like the harmonic stacks it can be made stable by minute displacements.Most of the references mentioned above describe the now-classical harmonic stacks in which n unit-length blocks are placed one on top of the other, with the ith block from the top extending by
1 2i beyond the block below it. The overhang achieved bysuch stacks is 1
2 Hn = 1 2n
i=1 1 i ∼ 1 2 ln n. The cases n = 3 and n = 4 are illustrated atthe top of Figure 1 above, and the cases n = 20 and n = 30 are shown in the back- ground of Figure 2. Verifying that harmonic stacks are balanced and can be made stable (see definitions in the next section) by minute displacements is an easy exercise. (This is the form in which the problem appears in [15, pp. 140–141], [20, p. 183], and [13, p. 341].) Harmonic stacks show that arbitrarily large overhangs can be achieved if sufficiently many blocks are available. They have been used extensively as an intro- duction to recurrence relations, the harmonic series, and simple optimization problems (see, e.g., [9]).
doi:10.4169/000298909X474855November 2009]
MAXIMUM OVERHANG763 An article's introduction should 1) indicate the article's main result(s) 2) indicate why the results are important--this is usually accomplished by summarizing how the results further research within the field 3) be worded to be understood by the target audience while remaining relatively nontechnical 4) preview the paper's structure. The first and third goals often conflict with each other. This paper does a very nice
R e p r i n t e d w i t h c
r e c t i
s f r
T h e B e l l S y s t e m T e c h n i c a l J
r n a l , V
. 2 7 , p p . 3 7 9 – 4 2 3 , 6 2 3 – 6 5 6 , J u l y , O c t
e r , 1 9 4 8 .
A M a t h e m a t i c a l T h e
y
C
m u n i c a t i
By C. E. SHANNON INTRODUCTION HE recent development of various methods of modulation such as PCM and PPM which exchange bandwidth for signal-to-noise ratio has intensified the interest in a general theory of communication. A such a theory is contained in the important papers of Nyquist1 and Hartley2 on this subject. In the will extend the theory to include a number of new factors, in particular the effect of noise vings possible due to the statistical structure of the original message and due to the the information. unication is that of reproducing at one point either exactly or ap-
tain physical or conceptual entities. These semantic
ust be designed to operate for each unknown at the time of design. nction of this number from the set, all thmic
Mathcomm.org
Choose a published paper that reinforces course content. What is the purpose of the paper? What strategies does the author use to – convince readers? – help readers understand? – interest readers? Which conven/ons noted on “Maximum Overhang” does the author follow? Are these choices effec/ve? Summarize own process.
M a x i m u m O v e r h a n g
M i k e P a t e r s
, Y u v a l P e r e s , M i k k e l T h
u p , P e t e r W i n k l e r , a n d U r i Z w i c k
believed to be of order log n. Recently, Paterson and Zwick constructed n-block stacks with overhangs of order n1/3, exponentially better than previously thought possible. We show here that order n1/3 is indeed best possible, resolving the long-standing overhang problem up to a constant factor. This problem appears in physics and engineering textbooks from as early as the mid-19th century (see, e.g., [15], [20], [13]). The problem was apparently first brought to the attention of the mathematical community in 1923 when J. G. Coffin [2] posed it in the “Problems and Solutions” section of this MONTHLY; no solution was presented
19, 12, 6, 5, 7, 8, 1, 4, 9, 10], achieving much added notoriety from its appearance in 1964 in Martin Gardner’s “Mathematical Games” column of Scientific American [7] and in [8, Limits of Infinite Series, p. 167].
1 11 12 ≃ 0.916667 25 24 ≃ 1.04167 15−4 √ 2 8 ≃ 1.16789 Figure 1. Optimal stacks with 3 and 4 blocks, compared to the corresponding harmonic stacks. The 4-block solution is from [1]. Like the harmonic stacks it can be made stable by minute displacements.Most of the references mentioned above describe the now-classical harmonic stacks in which n unit-length blocks are placed one on top of the other, with the ith block from the top extending by
1 2i beyond the block below it. The overhang achieved bysuch stacks is 1
2 Hn = 1 2n
i=1 1 i ∼ 1 2 ln n. The cases n = 3 and n = 4 are illustrated atthe top of Figure 1 above, and the cases n = 20 and n = 30 are shown in the back- ground of Figure 2. Verifying that harmonic stacks are balanced and can be made stable (see definitions in the next section) by minute displacements is an easy exercise. (This is the form in which the problem appears in [15, pp. 140–141], [20, p. 183], and [13, p. 341].) Harmonic stacks show that arbitrarily large overhangs can be achieved if sufficiently many blocks are available. They have been used extensively as an intro- duction to recurrence relations, the harmonic series, and simple optimization problems (see, e.g., [9]).
doi:10.4169/000298909X474855November 2009]
MAXIMUM OVERHANG763 An article's introduction should 1) indicate the article's main result(s) 2) indicate why the results are important--this is usually accomplished by summarizing how the results further research within the field 3) be worded to be understood by the target audience while remaining relatively nontechnical 4) preview the paper's structure. The first and third goals often conflict with each other. This paper does a very nice
Mathcomm.org
Process is scaffolded into assignment sequence:
It’s conven/onal to write the introduc/on as though readers haven’t seen the abstract. Add to your edi/ng checklist: check signs throughout I don’t understand: are you working leU-to-right or right-to leU? You could write the point of each paragraph in the margin to create a “retroac/ve outline” that’s likely to reveal ways to restructure. Has your audience seen this approach before? If not, will they need to see a concrete example,
Why can we swap the integrals here?
You keep making sign errors. Discussing this baby case does a good job of achieving the purposes of an introduc/on while avoiding technicali/es. Insert “right-to-leU”
Grading Rubric for 18.821 Papers (20 points total)
Spring, 2018 Mathematical Correctness and Vision (10) 9–10 The students discovered something remarkable and provided exceptionally elegant explana- tions of the phenomena they identified. 7–8 The students discovered something substantial and explained convincingly the phenomena they found (i.e., proofs are rigorous; conjectures are supported with convincing evidence). 5–7 The students made substantial progress and offered explanations for the phenomena they identified (i.e., claims are rigorously stated and support goes beyond a few specific examples). 3–5 The students gave a good expository description of the problem and of the most interesting aspects of the phenomena they found (e.g., conjectures are stated). 1–3 The students described the problem and found some immediately apparent aspects of it. Exposition (6) 6 The paper is exceptionally interesting and engaging. 5 The paper is easy to read and understand and is well suited to the target audience (peers
paper is focused and structured and the structure is communicated to readers; new ideas are introduced efficiently and with proper motivation; displays and examples are well chosen to aid understanding; mathematical language and notation are used appropriately; citations clearly acknowledge any sources used; writing is accurate, appropriately concise, and carefully proofread. 4 Many of the criteria for a grade of 5 are met. The paper is sufficiently clear that peers can easily discern what was intended whenever expository roughness is encountered. 3–4 Peers must expend some effort to discern what was intended when expository roughness is encountered. 1–3 Substantial effort is needed to discern what was intended. Research and Writing Process (4) All teammates contributed substantively to the research and to the writing and attended all meetings. The draft was complete and carefully written. The revision took into account but was not limited to the feedback of course staff and of teammates.
Process
Genre/ Discourse
Rhetoric Content Mathcomm.org
Demys3fy communica3on of mathema3cians, e.g., via legi3mate peripheral par3cipa3on in a community of mathema3cians …and reading. The knowledge domains can inform design of curriculum, instruc3on, assignments, feedback, and grading. Some Resources MAA Mathema(cal Communica(on mathcomm.org Bahls, Student Wri(ng in the Quan(ta(ve Disciplines Gopen & Swan, “The Science of Scien3fic Wri3ng” American Scien(st, 1990. Wolfe, Team Wri(ng: A Guide to Working in Groups
EdgeProbabilityofaRandom
b s t r a c t :
h i s
a p e r
n a l y z e s
l i q u e s
n
a n d
r a p h s .
h
h a t
x i s t e n c e
n
s
a t e d
e r t e x
t
n ( n ) / n ,
l s
h
h e
i z e
h e
a r g e s t
x p e c t e d
d e r
l
( n )
l
a s e
) ,
n d
h a t
h e
a n d
r a p h
( n , p )
s
x p
e c t i
.
n t r
u c t i
.
a n d
i c e s
n
h i c h
v e r y
s i b l e
d g e
s
n d e p e n d e n t l y
a c h
h e r .
a n d
t r u c t u r e s
u c h
s
i a l
e t w
k s
h e
r a p h s
r e
a r g e
h a t
l
a l
e c t i
s
r e
r
a b i l i s t i c .
t u d y i n g
n d e r s t a n d
t r u c t u r e s
i t h i n
h e
e t
n
h i s
a p e r ,
i l l
x a m i n e
e l a t i
s h i p s
r
a b i l i t y
s
a t e d
e r t i c e s
n d
( n ,
) .
i n c e
a n d
r a p h s
a n ,
d g e s
r e s e n t ,
i l l
s e
h e
x p
e r t i c e s
n d e r s t a n d
h e
d g e
( n ,
) . I n
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,
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h a t
( n ,
)
a s
n
s
a t e d
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G has an isolated vertex goes to some c < 1, the probability that G g w i l l w i l l will
Strong introduction. Gets right to the point. Good abstract. Student Name removed This is a strong start, and you’ve clearly put a great deal of care into the mathematical content of this
in a way that is accessible to the reader. Your formatting is curious; are you using the section and theorem LaTeX environments to set apart things clearly? I also see a need for more guiding text to clarify exactly where sections of proofs begin and end, and what strategies you will be using. Please let me know if you have any questions. I’m happy to meet to discuss your writing. See note P4.
(wri3ng center) wri3ng center If audience is peers, peers can comment on effec3veness for audience tutors