SlideShare a Scribd company logo
1 of 6
Download to read offline
1 2
7 8 9
:!- 14 15 16
~ 21 22 23
~ 28 29 30
10 11 12 13
17 18 19 20
24 25 . 26 27
M r~ w:=_ ___cLC._Cl....!:~~ ~~________!_:....i...i...--'-'-1..:0~D -=-~c....___:=-----~'---'---'--==-i=L[--1
9
___IAuc-, :I 9''/
10
ā€¢ '{)fOtĀ° VlOO:t' C.tlun'
-r '
11
p1Q Ā·~. lxpc

Y'qj'v 8,
'
12
couR&E ToPl GS
ā€¢ bo ha ,11,oY-a.g. r e.g,Q arch
ā€¢
ā€¢
~ .g'?.J:J?-0 l

MARCH
Friday
21~1
2014
MARCH
22
Q,'KDLfl[ t)Ā£ S~N tN '2>UIL'Dl~Ci( ! 3 4 5 6
10 11 12 13 7 8 ,,
S t d
16 17 18 19 14 1S ~
a ur ay 20 ,._23 24 25 26 21 22 ~
- - - - ~0::'..'.'._81~-2~B4..:._ā€¢W~K~12~ - - - - - - - - - - - - - - - - -:._S ___.:::=M~
27
28 ~F fl!
s "'
~
9
ā€¢
12
:kaf'2~ c:-)6 J(H'""tbblQ$ and., ..Q.../RJ<; e<tb tr)g_Q<t,UY::Q'Qon.ft____
.-ā€¢ae~,"sn~ne OD tM ~omen+
ā€¢
23
ā€¢
e
3
10 11 12 13
7
~ 14 15 16 17 18 19 20
~ 21 22 23 24 25 26 27
~ 28 29 30
M T W T
------- MARCH
Monday 24WK 13 ā€¢ 083-282
10
11 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
12
ā€¢
ā€¢
m (?,,J' Qy pex:frnQt1t
ā€¢ Ci ::b'zon &c.rmco
2014
MARCH
25 Tuesday
084-281 ā€¢ WK 13
ā—„
2 3 4 5
9 10 11
6
7
12 13 8 '>
16 17 18 14 15 ~
23 24 25 20 21 22 ~
S M 28 ~
F S Ii:
9
-'---lt,l-.!ā€¢~.ucJ~Ct;!:torn__j,V~i-~,<;.~l.J~auOll.1:Z2~et:c:::b::h.J'o~C!)__JQQ..t:n,i:d1-_0!,,!LOu...Ou.lnzr~-(:;..i:.,I-~::::..----------==:
10
.. ot . -'-~~es c r <pTl /Q-1
11
ā€¢
12
-
2
Ā¼..(;bn1q,2e.&
3
4
5 ā€¢
6
c;.
2014
t_~.Ln'lO
12345 6 5 -
7 8 9 10 11 12 13 -----~ CH
4 15 16 17 18 19 20 ---
~ ~~ 29 : r F s 5 Wednesday
~ T _ _ _ _ _ _ _ _ _ _ _ _ _ __ _ _ _ ___W:..:.:_:K~13 '085-280
~ 14 22 23 24 25 26 27 26
------ 0 . -------=:_-------- .ā€¢ nDY) - poro. rrwfr_iL. Cl -po.nvmn-Vc~~ I
I1-------------------------------
~ rtf1Ā·- -~t)-DO r-e. tee+ ---
~ ----!--------------------- - - - - - - -
~ monb u)brln~l"'~ u~ +__._~=..>..J-t.________ ____==II
~ bincwY11Ā·af <.~ieo Ā±est_________..~ ~ "--'...,___,,"-"----=-'-rt-'--'---..L-::=-- - - -- - - - - - - - -
12_ _ _ _ _ _ _ _ _ _ _ __ _ _ _ _ __ _ _ _ _ _ _ __
~ Y-eJa:i:9at a.o d un~gjof-Rol I +Mh.
ā€¢ tl)n'Ā·hl'.:} 'PcS.+Qr, oncl t)en~mt prc.&en:Ā¼:d:r'c:w)'
(_ D'ā€¢ā€¢rroo'.+:b'n~ ob Ā±1-w V<2..',eaub papo.v- os,n~ APA
ā€¢ E EE joJ'O')o,,l I Ccn6Q'<R()CQ b~rw'AĀ±,~)
gocL
3
4
6
MARCH 2 3 4
27
9 10 11 S 6 7 l
1
12 13 1 8 ~
6 17 18 19 4 15 ~
Thursday 23 24 2s
20
21 :..
S M 26 27 28 22 ~
- -- - ~08=6-2~79~ā€¢~W~K1~3 - - - -- - - -- - -- - - - - ---...__::T=-.:=W T F ~
Ā·Ā·Ā·-rE-'At 2>oo ~~ ~9-'----~~l.___l~lQ~~'---~------ -- - ---------------
=ā€¢ R+aĀ±is :h' o,l meĀ±bad, 6ov: ?SWbdc,3~ā€¢ C1
'"''17) ~10 ~
12
ā€¢
~ Ā·1 C2...AR2--m vndh~ & ,g-tccb ~gt, i& c'o f>(. ~ cbolt:ij
0 -~
ā€¢ u &G?o,.t'c.h ')')Q,_Ā±b oat, , CeY1 ce-pts !}; cmD" c-Ā±-t~ans. C2.at:r) _
-------------
~2~0_!__:14:!--- -- -- - - -------:~ -- - - - ---___:----

More Related Content

What's hot

What's hot (20)

Wireless communication: Course Topics
Wireless communication: Course TopicsWireless communication: Course Topics
Wireless communication: Course Topics
Ā 
Structural Dynamics: Course Topics
Structural Dynamics: Course TopicsStructural Dynamics: Course Topics
Structural Dynamics: Course Topics
Ā 
Entropy and Information: Course Topics
Entropy and Information: Course TopicsEntropy and Information: Course Topics
Entropy and Information: Course Topics
Ā 
C# rule based workflow engine# 5
C# rule based workflow engine# 5C# rule based workflow engine# 5
C# rule based workflow engine# 5
Ā 
Selected topics in Instrumental analysis: Course Topics
Selected topics in Instrumental analysis: Course TopicsSelected topics in Instrumental analysis: Course Topics
Selected topics in Instrumental analysis: Course Topics
Ā 
Maths for Computer science 1: Probability and Statistics (H1): Course Topics
Maths for Computer science 1: Probability and Statistics (H1): Course TopicsMaths for Computer science 1: Probability and Statistics (H1): Course Topics
Maths for Computer science 1: Probability and Statistics (H1): Course Topics
Ā 
C# rule based workflow# 1 4
C# rule based workflow# 1 4C# rule based workflow# 1 4
C# rule based workflow# 1 4
Ā 
CICSM Certificate
CICSM CertificateCICSM Certificate
CICSM Certificate
Ā 
Advanced Structural design: Course topics
Advanced Structural design: Course topicsAdvanced Structural design: Course topics
Advanced Structural design: Course topics
Ā 
Finite element methods: Course Topics
Finite element methods: Course TopicsFinite element methods: Course Topics
Finite element methods: Course Topics
Ā 
Robotics: Dynamics and Control: Course Topics
Robotics: Dynamics and Control: Course TopicsRobotics: Dynamics and Control: Course Topics
Robotics: Dynamics and Control: Course Topics
Ā 
Theories and Practices of Nationalism: Course Topics
Theories and Practices of Nationalism: Course TopicsTheories and Practices of Nationalism: Course Topics
Theories and Practices of Nationalism: Course Topics
Ā 
Principles of Programming languages: Course Topics
Principles of Programming languages: Course TopicsPrinciples of Programming languages: Course Topics
Principles of Programming languages: Course Topics
Ā 
Game design and Engineering: Course Topics
Game design and Engineering: Course TopicsGame design and Engineering: Course Topics
Game design and Engineering: Course Topics
Ā 
Analog IC design: Course topics
Analog IC design: Course topicsAnalog IC design: Course topics
Analog IC design: Course topics
Ā 
CSS# concepts and tags
CSS# concepts and tagsCSS# concepts and tags
CSS# concepts and tags
Ā 
Intro to Psychology: Course Topics
Intro to Psychology: Course TopicsIntro to Psychology: Course Topics
Intro to Psychology: Course Topics
Ā 
Discrete maths# Recurrence relations using formulae
Discrete maths# Recurrence relations using formulaeDiscrete maths# Recurrence relations using formulae
Discrete maths# Recurrence relations using formulae
Ā 
Workshop plans
Workshop plansWorkshop plans
Workshop plans
Ā 
ESP32# SNTP
ESP32# SNTPESP32# SNTP
ESP32# SNTP
Ā 

More from Subhajit Sahu

DyGraph: A Dynamic Graph Generator and Benchmark Suite : NOTES
DyGraph: A Dynamic Graph Generator and Benchmark Suite : NOTESDyGraph: A Dynamic Graph Generator and Benchmark Suite : NOTES
DyGraph: A Dynamic Graph Generator and Benchmark Suite : NOTES
Subhajit Sahu
Ā 
A Dynamic Algorithm for Local Community Detection in Graphs : NOTES
A Dynamic Algorithm for Local Community Detection in Graphs : NOTESA Dynamic Algorithm for Local Community Detection in Graphs : NOTES
A Dynamic Algorithm for Local Community Detection in Graphs : NOTES
Subhajit Sahu
Ā 
Scalable Static and Dynamic Community Detection Using Grappolo : NOTES
Scalable Static and Dynamic Community Detection Using Grappolo : NOTESScalable Static and Dynamic Community Detection Using Grappolo : NOTES
Scalable Static and Dynamic Community Detection Using Grappolo : NOTES
Subhajit Sahu
Ā 
Application Areas of Community Detection: A Review : NOTES
Application Areas of Community Detection: A Review : NOTESApplication Areas of Community Detection: A Review : NOTES
Application Areas of Community Detection: A Review : NOTES
Subhajit Sahu
Ā 
Community Detection on the GPU : NOTES
Community Detection on the GPU : NOTESCommunity Detection on the GPU : NOTES
Community Detection on the GPU : NOTES
Subhajit Sahu
Ā 
Dynamic Batch Parallel Algorithms for Updating Pagerank : SLIDES
Dynamic Batch Parallel Algorithms for Updating Pagerank : SLIDESDynamic Batch Parallel Algorithms for Updating Pagerank : SLIDES
Dynamic Batch Parallel Algorithms for Updating Pagerank : SLIDES
Subhajit Sahu
Ā 

More from Subhajit Sahu (20)

word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings o...
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings o...word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings o...
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings o...
Ā 
DyGraph: A Dynamic Graph Generator and Benchmark Suite : NOTES
DyGraph: A Dynamic Graph Generator and Benchmark Suite : NOTESDyGraph: A Dynamic Graph Generator and Benchmark Suite : NOTES
DyGraph: A Dynamic Graph Generator and Benchmark Suite : NOTES
Ā 
Shared memory Parallelism (NOTES)
Shared memory Parallelism (NOTES)Shared memory Parallelism (NOTES)
Shared memory Parallelism (NOTES)
Ā 
A Dynamic Algorithm for Local Community Detection in Graphs : NOTES
A Dynamic Algorithm for Local Community Detection in Graphs : NOTESA Dynamic Algorithm for Local Community Detection in Graphs : NOTES
A Dynamic Algorithm for Local Community Detection in Graphs : NOTES
Ā 
Scalable Static and Dynamic Community Detection Using Grappolo : NOTES
Scalable Static and Dynamic Community Detection Using Grappolo : NOTESScalable Static and Dynamic Community Detection Using Grappolo : NOTES
Scalable Static and Dynamic Community Detection Using Grappolo : NOTES
Ā 
Application Areas of Community Detection: A Review : NOTES
Application Areas of Community Detection: A Review : NOTESApplication Areas of Community Detection: A Review : NOTES
Application Areas of Community Detection: A Review : NOTES
Ā 
Community Detection on the GPU : NOTES
Community Detection on the GPU : NOTESCommunity Detection on the GPU : NOTES
Community Detection on the GPU : NOTES
Ā 
Survey for extra-child-process package : NOTES
Survey for extra-child-process package : NOTESSurvey for extra-child-process package : NOTES
Survey for extra-child-process package : NOTES
Ā 
Dynamic Batch Parallel Algorithms for Updating PageRank : POSTER
Dynamic Batch Parallel Algorithms for Updating PageRank : POSTERDynamic Batch Parallel Algorithms for Updating PageRank : POSTER
Dynamic Batch Parallel Algorithms for Updating PageRank : POSTER
Ā 
Abstract for IPDPS 2022 PhD Forum on Dynamic Batch Parallel Algorithms for Up...
Abstract for IPDPS 2022 PhD Forum on Dynamic Batch Parallel Algorithms for Up...Abstract for IPDPS 2022 PhD Forum on Dynamic Batch Parallel Algorithms for Up...
Abstract for IPDPS 2022 PhD Forum on Dynamic Batch Parallel Algorithms for Up...
Ā 
Fast Incremental Community Detection on Dynamic Graphs : NOTES
Fast Incremental Community Detection on Dynamic Graphs : NOTESFast Incremental Community Detection on Dynamic Graphs : NOTES
Fast Incremental Community Detection on Dynamic Graphs : NOTES
Ā 
Can you ļ¬x farming by going back 8000 years : NOTES
Can you ļ¬x farming by going back 8000 years : NOTESCan you ļ¬x farming by going back 8000 years : NOTES
Can you ļ¬x farming by going back 8000 years : NOTES
Ā 
HITS algorithm : NOTES
HITS algorithm : NOTESHITS algorithm : NOTES
HITS algorithm : NOTES
Ā 
Basic Computer Architecture and the Case for GPUs : NOTES
Basic Computer Architecture and the Case for GPUs : NOTESBasic Computer Architecture and the Case for GPUs : NOTES
Basic Computer Architecture and the Case for GPUs : NOTES
Ā 
Dynamic Batch Parallel Algorithms for Updating Pagerank : SLIDES
Dynamic Batch Parallel Algorithms for Updating Pagerank : SLIDESDynamic Batch Parallel Algorithms for Updating Pagerank : SLIDES
Dynamic Batch Parallel Algorithms for Updating Pagerank : SLIDES
Ā 
Are Satellites Covered in Gold Foil : NOTES
Are Satellites Covered in Gold Foil : NOTESAre Satellites Covered in Gold Foil : NOTES
Are Satellites Covered in Gold Foil : NOTES
Ā 
Taxation for Traders < Markets and Taxation : NOTES
Taxation for Traders < Markets and Taxation : NOTESTaxation for Traders < Markets and Taxation : NOTES
Taxation for Traders < Markets and Taxation : NOTES
Ā 
A Generalization of the PageRank Algorithm : NOTES
A Generalization of the PageRank Algorithm : NOTESA Generalization of the PageRank Algorithm : NOTES
A Generalization of the PageRank Algorithm : NOTES
Ā 
ApproxBioWear: Approximating Additions for Efficient Biomedical Wearable Comp...
ApproxBioWear: Approximating Additions for Efficient Biomedical Wearable Comp...ApproxBioWear: Approximating Additions for Efficient Biomedical Wearable Comp...
ApproxBioWear: Approximating Additions for Efficient Biomedical Wearable Comp...
Ā 
Income Tax Calender 2021 (ITD) : NOTES
Income Tax Calender 2021 (ITD) : NOTESIncome Tax Calender 2021 (ITD) : NOTES
Income Tax Calender 2021 (ITD) : NOTES
Ā 

Behavioural methods & Experimental design: Course topics

  • 1. 1 2 7 8 9 :!- 14 15 16 ~ 21 22 23 ~ 28 29 30 10 11 12 13 17 18 19 20 24 25 . 26 27 M r~ w:=_ ___cLC._Cl....!:~~ ~~________!_:....i...i...--'-'-1..:0~D -=-~c....___:=-----~'---'---'--==-i=L[--1 9 ___IAuc-, :I 9''/ 10 ā€¢ '{)fOtĀ° VlOO:t' C.tlun' -r ' 11 p1Q Ā·~. lxpc Y'qj'v 8, ' 12 couR&E ToPl GS ā€¢ bo ha ,11,oY-a.g. r e.g,Q arch ā€¢ ā€¢ ~ .g'?.J:J?-0 l MARCH Friday 21~1 2014
  • 2. MARCH 22 Q,'KDLfl[ t)Ā£ S~N tN '2>UIL'Dl~Ci( ! 3 4 5 6 10 11 12 13 7 8 ,, S t d 16 17 18 19 14 1S ~ a ur ay 20 ,._23 24 25 26 21 22 ~ - - - - ~0::'..'.'._81~-2~B4..:._ā€¢W~K~12~ - - - - - - - - - - - - - - - - -:._S ___.:::=M~ 27 28 ~F fl! s "' ~ 9 ā€¢ 12 :kaf'2~ c:-)6 J(H'""tbblQ$ and., ..Q.../RJ<; e<tb tr)g_Q<t,UY::Q'Qon.ft____ .-ā€¢ae~,"sn~ne OD tM ~omen+ ā€¢ 23 ā€¢ e
  • 3. 3 10 11 12 13 7 ~ 14 15 16 17 18 19 20 ~ 21 22 23 24 25 26 27 ~ 28 29 30 M T W T ------- MARCH Monday 24WK 13 ā€¢ 083-282 10 11 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 12 ā€¢ ā€¢ m (?,,J' Qy pex:frnQt1t ā€¢ Ci ::b'zon &c.rmco 2014
  • 4. MARCH 25 Tuesday 084-281 ā€¢ WK 13 ā—„ 2 3 4 5 9 10 11 6 7 12 13 8 '> 16 17 18 14 15 ~ 23 24 25 20 21 22 ~ S M 28 ~ F S Ii: 9 -'---lt,l-.!ā€¢~.ucJ~Ct;!:torn__j,V~i-~,<;.~l.J~auOll.1:Z2~et:c:::b::h.J'o~C!)__JQQ..t:n,i:d1-_0!,,!LOu...Ou.lnzr~-(:;..i:.,I-~::::..----------==: 10 .. ot . -'-~~es c r <pTl /Q-1 11 ā€¢ 12 - 2 Ā¼..(;bn1q,2e.& 3 4 5 ā€¢ 6 c;. 2014
  • 5. t_~.Ln'lO 12345 6 5 - 7 8 9 10 11 12 13 -----~ CH 4 15 16 17 18 19 20 --- ~ ~~ 29 : r F s 5 Wednesday ~ T _ _ _ _ _ _ _ _ _ _ _ _ _ __ _ _ _ ___W:..:.:_:K~13 '085-280 ~ 14 22 23 24 25 26 27 26 ------ 0 . -------=:_-------- .ā€¢ nDY) - poro. rrwfr_iL. Cl -po.nvmn-Vc~~ I I1------------------------------- ~ rtf1Ā·- -~t)-DO r-e. tee+ --- ~ ----!--------------------- - - - - - - - ~ monb u)brln~l"'~ u~ +__._~=..>..J-t.________ ____==II ~ bincwY11Ā·af <.~ieo Ā±est_________..~ ~ "--'...,___,,"-"----=-'-rt-'--'---..L-::=-- - - -- - - - - - - - - 12_ _ _ _ _ _ _ _ _ _ _ __ _ _ _ _ __ _ _ _ _ _ _ __ ~ Y-eJa:i:9at a.o d un~gjof-Rol I +Mh. ā€¢ tl)n'Ā·hl'.:} 'PcS.+Qr, oncl t)en~mt prc.&en:Ā¼:d:r'c:w)' (_ D'ā€¢ā€¢rroo'.+:b'n~ ob Ā±1-w V<2..',eaub papo.v- os,n~ APA ā€¢ E EE joJ'O')o,,l I Ccn6Q'<R()CQ b~rw'AĀ±,~) gocL
  • 6. 3 4 6 MARCH 2 3 4 27 9 10 11 S 6 7 l 1 12 13 1 8 ~ 6 17 18 19 4 15 ~ Thursday 23 24 2s 20 21 :.. S M 26 27 28 22 ~ - -- - ~08=6-2~79~ā€¢~W~K1~3 - - - -- - - -- - -- - - - - ---...__::T=-.:=W T F ~ Ā·Ā·Ā·-rE-'At 2>oo ~~ ~9-'----~~l.___l~lQ~~'---~------ -- - --------------- =ā€¢ R+aĀ±is :h' o,l meĀ±bad, 6ov: ?SWbdc,3~ā€¢ C1 '"''17) ~10 ~ 12 ā€¢ ~ Ā·1 C2...AR2--m vndh~ & ,g-tccb ~gt, i& c'o f>(. ~ cbolt:ij 0 -~ ā€¢ u &G?o,.t'c.h ')')Q,_Ā±b oat, , CeY1 ce-pts !}; cmD" c-Ā±-t~ans. C2.at:r) _ ------------- ~2~0_!__:14:!--- -- -- - - -------:~ -- - - - ---___:----