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East Los Angeles College - APS - 323
APS 323, Social Insects, Lecture 14Sophistication in the foraging trail networks of Pharaohs ants, Monomorium pharaonisAims 1. To describe experiments investigating foraging trail networks in Pharaohs ants 2. To present hypotheses for the existenc
East Los Angeles College - APS - 323
APS 323, Social Insects, Lecture 5Biodiversity and systematics: the different groups of social insectsAims 1. To provide a systematic overview of eusocial insects emphasizing the multiple origins of eusociality. 2. To provide additional basic info
East Los Angeles College - APS - 323
APS 323, Social Insects, Course Work Question 1, 2007APS 323 Social Insects. Course Work Question 1. Public Communication PamphletNote: Course work must be handed in to the departmental office by the due date that you will be given in class. You a
East Los Angeles College - APS - 301
APS 301, Section taught by Professor Ratnieks, lecture 1Intragenomic conflict in modern-day organismsThe major evolutionary transitions (Maynard-Smith & Szathmary. 1995.) replicating molecules to molecules in compartments unlinked replicators
East Los Angeles College - APS - 301
APS 301, Section taught by Professor Ratnieks, lecture 4Evolution of virulence in a host parasite systemAims 1. To provide an introduction to modern ideas concerning the evolution of virulence. 2. To present parasitism as a contrast to mutualism i
East Los Angeles College - APS - 323
APS 323, Social Insects, Lecture 15Task Partitioning in Insect SocietiesAims 1. To provide information on the following topics in task partitioning: definition, relationship to division of labour, benefits and costs, taxonomic occurrence, patterns
East Los Angeles College - APS - 301
APS 301, Section taught by Professor Ratnieks, introductory materialConflict & Cooperation: General IntroductionIntroduction & Aims You are familiar with groups of cooperators. For example the genes in a genome, the cells in the body of a multicel
East Los Angeles College - APS - 323
APS 323, Social Insects, Notes on Video For Queen & ColonyAPS 323: Social Insects Notes on BBC TV Program For Queen & ColonyThis video is ostensibly about the evolution of eusociality, starting with solitary species and ending up with the honey be
East Los Angeles College - APS - 323
APS 323, Social Insects, Lecture 9 Sex allocation: predictions and tests Aims 1. To show how to use theory to determine worker-optimum and queen-optimum sex-allocation ratios. 2. To show how these predictions have been tested empirically. 3. Understa
East Los Angeles College - APS - 323
APS 323, Social Insects, Lecture 6Division of labour among workersAims 1. To provide information on the tasks performed by workers and how these may be divided among the workers in a colony according to age and size. The primary focus will be on t
Colby - MA - 231
AnnouncementsReadingMathematics 231Lecture 20 Liam OBrien OTodayM&M 6.1353-363 353-12TopicsConfidence intervals for with known InferenceInference: From part (sample) infer about Inference: part the whole (population). whole Stati
Wilfrid Laurier - BIOL - 233
Schedule and suggested readings for Dr. Muenchs Plant Biology lectures from Biological Science, Freeman 2nd ed. Dates Topic Chapters Suggested Readings 263, 643 619-621, 624-626, 629, 631, 633, 643, 644, 661, 662 648-655 656-661, 663-670 910-914, 91
East Los Angeles College - APS - 301
APS 301, Section taught by Professor Ratnieks, self test questionsConflict & Cooperation: self test questionsBelow are some questions to assess your knowledge of the lecture material. Work through some of these questions before the review lecture
East Los Angeles College - APS - 323
APS 323, Social Insects, Lecture 8 Kin structure and relatedness Aims 1. To show how to determine regression relatedness among individuals using a pedigree diagram. 2. To show how to determine relatedness among offspring females in colonies headed by
East Los Angeles College - APS - 209
APS 209 Animal BehaviourAPS 209 General Information, March 2006 Aims, Objectives, Teaching Methods, Assessment, Lecture Schedule etc.Coordinator Professor Francis L. W. Ratnieks Additional staff Dr. Fiona Hunter Lectures Monday 1000, Tuesday 0900,
East Los Angeles College - APS - 323
APS 323, Social Insects, Lectures 1&2 Why Study Social Insects? Aims 1. To define social insect and eusociality. 2. To provide a broad overview of the social insects, emphasizing their role and importance in ecosystems, their economic importance, and
McGill - MATH - 678
20.56657 20.00927 19.89417 20.16187 20.09335 20.10445 19.59460 20.72359 20.48967 21.65124 19.46073 19.89786 19.91784 20.20146 20.02699 20.35357 19.33850 20.26522 20.39873 19.98103 20.36782 20.28718 20.03702 20.11620 20.24316
East Los Angeles College - APS - 209
APS 209 Animal BehaviourAn Evolutionary Approach to Animal Behaviour (Alcock Chapter 1)Special reading: Wallin et al. 2005 Aims 1. To contrast proximate (how) and ultimate (why) causes of behaviour. 2. To show how hypotheses about behaviour can be
Wilfrid Laurier - ENCI - 579
Compaction In-situ soils used as: Bases for the construction of highway pavements embankments or leveling material for construction projects Compacted to improve their density: M/V improves the soils strength lowers its permeability reduces f
Wilfrid Laurier - ENCI - 579
Soils Investigation Required to evaluate an area for the construction of a project or evaluate local material as a construction material Soil Investigation Field Sampling and Testing Laboratory Analysis Report preparation Planning and evaluat
Wilfrid Laurier - ENCI - 579
Asphalt BindersENCI 5791Introduction Terminology / Uses Sources / Manufacturing Composition / Product Types Temperature Susceptibility Specifications / Testing Modifiers / AdditivesENCI 5792Terminology Asphalt/Bitumen A mixture of
Wilfrid Laurier - ENCI - 579
Engineering Properties of SoilsUnified Soil Classification2 ENCI 5791Engineering Properties of SoilsUnified Soil Classification2 ENCI 5792Engineering Properties of SoilsUnified Soil Classification2 ENCI 5793Engineering Properties
Wilfrid Laurier - ENCI - 579
Engineering Properties of Soils Soil Types Engineering Properties of Soils foundation for the project construction material (road embankments,earth dams) Soil Definition (Engineering) refers to all unconsolidated material in the earths crust, a
East Los Angeles College - APS - 323
Big Businesses: Honey Bee Colonies and Oil CompaniesFrancis. L. W. Ratnieks Laboratory of Apiculture & Social Insects, Department of Animal & Plant Sciences University of Sheffield In research it is important to focus on clearly defined and often na
East Los Angeles College - APS - 209
APS 209 Animal BehaviourLecture 11 The Evolution of Reproductive Behaviour1. Evolutionary origin of two sexes 2. Typical sex roles 3. Reversed sex roles 4. Male-male competition 5. Female choiceAims & ObjectivesAims 1. Present a simple model fo
East Los Angeles College - APS - 209
APS 209 Animal BehaviourAPS209: Lecture 11. The Evolution of Reproductive Behaviour (Alcock Chapter 10)Aims 1. Present a simple model for the evolution of male (small gamete) and female (large gamete) roles. 2. How sex differences in parental inve
East Los Angeles College - APS - 323
APS 323, Social Insects, Lecture 7 Kin value: relatedness, reproductive value, mating success Aims 1. To show where regression relatedness, sex-specific reproductive value, and sex-specific mating success come from and how they affect the efficiency
Findlay - NR - 10458
The Oiler OneCard What's Next?Welcome to The University of Findlay. As you may have already heard, the Oiler OneCard is how it's done at Findlay! From receiving your financial aid refunds to purchasing course materials, it's your key to success at T
East Los Angeles College - APS - 209
APS 209 Animal BehaviourAPS209: Lecture 10 The Evolution of Communication (Alcock Chapter 9) Aims 1. Present examples of honest communication in animals. 2. Describe the logic in how natural selection can favour honest communication. 3. Present a d
East Los Angeles College - APS - 209
APS 209 Animal BehaviourMathematical and theoretical insights in animal behaviourAims 1. To introduce the use of simple mathematics in the study of animal behaviour. 2. To show how to combine mathematics with biology. Objectives 1. Understand the
East Los Angeles College - APS - 209
APS 209 Animal BehaviourAPS209: Lecture 9 The Evolution of Feeding Behaviour (Alcock Chapter 7)Aims 1. To describe how animals may help each other in foraging, particularly by sharing information. 2. To present a special reading that builds on the
East Los Angeles College - APS - 209
APS 209 Animal BehaviourAPS209: Lecture 4. The Development of Behaviour: A Focus on EnvironmentAims 1. To show how behaviour can be flexibly adjusted according to environmental conditions; behavioural switches. 2. To show how behavioural developme
East Los Angeles College - APS - 323
APS 323, Social Insects, Aims, Objectives and Other Information 2007APS 323 Social InsectsCourse coordinator, lecturer and times coordinator Professor Francis L. W. Ratnieks e-mail: F.Ratnieks@Sheffield.ac.uk; web site: www.lasi.group.shef.ac.uk;
East Los Angeles College - APS - 301
APS 301, Section taught by Professor Ratnieks, lecture 2A simple model investigating equilibrium levels of PSR in Nasonia vitripennisAims 1. To show how a simple mathematical model of a biological process can be constructed. 2. To model the transf
East Los Angeles College - APS - 323
Title Comic Sans MS Bold 16 pointText Comic Sans MS 10 point. 4-6 paragraphs x x x xx x x x Text Comic Sans MS 10 point x x x x x x Did You Know? 3-4 examples. Comic Sans MS Bold 10 point* text Comic Sans MS 9 point. 1-3 lines each. xx * xxx * xx
East Los Angeles College - APS - 209
APS 209 Animal BehaviourThe Sometimes Counter-Intuitive Darwinian Logic of how Natural Selection Acts on Behaviour (Alcock Chapter 1)Special readings: Andrade 1996; Crudgington & Siva-Jothy 2000; Young & Clutton-Brock 2006) Aims 1. To present the
McGill - MATH - 523
Faculty of Science FINAL EXAMINATION MATH-523B Generalized Linear ModelsExaminer: Professor K.J. Worsley Associate Examiner: Professor A. Vandal Date: Tuesday, April 20, 2004 Time: 14:00 - 17:00 hoursINSTRUCTIONS: Answer all questions. Any books,
Wilfrid Laurier - ENCI - 579
Highway Materials, Soils, and Concrete Aggregates Soil Definition (Engineering) "refers to all unconsolidated material in the earth's crust, all material above the bedrock" mineral particles (gravel, sand, silt, clay) organic material (top soil,
Sveriges lantbruksuniversitet - ENSC - 805
IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 45, NO. 5, JULY 19991639the average frequency distributionHavg (s):= (1=N )NThe behavior of the distributions for different values of K is discussed in Fig. 4. For M = 9 and K = 12; 16; 20; 24
East Los Angeles College - PHY - 112
PHY112 - Introductory mathematics for physicists and astronomersUnit 2: Functions and Dierentiation Tutorial - week 5, October 2008Neat solutions to questions 1) 8) should be handed in at the beginning of the tutorial. They will be assessed. You
East Los Angeles College - PHY - 112
PHY112 - Introductory mathematics for physicists and astronomersUnit 5: Dierential equations Tutorial - week 11, December 2008Neat solutions to questions 1) 5) should be handed in at the beginning of the tutorial. They will be assessed. You should
Sveriges lantbruksuniversitet - ENSC - 805
IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 43, NO. 1, JANUARY 1997275CorrespondenceReduced Complexity Sequence Detection for Nonminimum Phase Intersymbol Interference ChannelsKrishna Balachandran, Srudent Member, IEEE, and John B. Anderson,
Sveriges lantbruksuniversitet - ENSC - 805
~IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 41, NO. 5, SEPTEMBER 19951265Decomposition of Mary CPM Signals into PAM WaveformsUmberto Mengali, Fellow, IEEE, and Michele MorelliAbstract-It is widely known that minimum shift keying (MSK) may
Sveriges lantbruksuniversitet - ENSC - 805
IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 48, NO. 8, AUGUST 20022201Closest Point Search in LatticesErik Agrell, Member, IEEE, Thomas Eriksson, Member, IEEE, Alexander Vardy, Fellow, IEEE, and Kenneth Zeger, Fellow, IEEEAbstract-In this se
McGill - MATH - 556
MATH 556 - EXERCISES 5: SOLUTIONS1 Key is to find the i.i.d random variables X1 , ., Xn such thatnX=i=1Xiand then to use the Central Limit Theorem result for large nnZn =i=1Xi - n d - Z N ormal(0, 1) n 2nX=i=1Xi AN (n, n 2
Sveriges lantbruksuniversitet - ENSC - 805
IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 45, NO. 5, JULY 19991361Multilevel Codes: Theoretical Concepts and Practical Design RulesUdo Wachsmann, Member, IEEE, Robert F. H. Fischer, Member, IEEE, and Johannes B. Huber, Member, IEEEAbstract-
Sveriges lantbruksuniversitet - ENSC - 805
1152IEEE TRANSACTIONSON INFORMATIONTHEORY, VOL.34, NO. 5, SEPTEMBER 1988Coset Codes-Part 11: Binary Lattices and Related CodesG. DAVID FORNEY, JR., FELLOW, IEEEInvited PaperAbstract -The family of Barnes-Wall lattices (including D4 and E,)
McGill - MATH - 556
556: M ATHEMATICAL S TATISTICS IS OME NOTES ON C HARACTERISTIC F UNCTIONS The characteristic function for a random variable X with pmf/pdf fX is dened for t R as CX (t) = EfX [eitX ] = EfX [cos(tX) + i sin(tX)] = EfX [cos(tX)] + iEfX [sin(tX)]. In
McGill - MATH - 556
MATH 556 - EXERCISES 4: SOLUTIONS1 (a) This is not an Exponential Family distribution; the support is parameter dependent. (b) This is an EF distribution with k = 1: f (x|) = I{1,2,3,.} (x) -1 exp{x log } = h(x)c() exp{w()t(x)} x log (1 - ) I{1,2,3,
Sveriges lantbruksuniversitet - ENSC - 805
206IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 16, NO. 2, FEBRUARY 1998Bandwidth-Efficient Turbo Trellis-Coded Modulation Using Punctured Component CodesPatrick Robertson, Member, IEEE, and Thomas W rz, Member, IEEE oAbstract- We pre
McGill - MATH - 556
556: M ATHEMATICAL S TATISTICS IC ONVERGENCE I N D ISTRIBUTION : E XAMPLES EXAMPLE 1: Continuous random variable X with range X (0, n] for n > 0 and cdf FXn (x) = 1 - 1 - x nn0<xnand zero otherwise. Then as n , X (0, ), and for all x > 0 FXn
Sveriges lantbruksuniversitet - ENSC - 805
186IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 16, NO. 2, FEBRUARY 1998Concatenated Decoding with a Reduced-Search BCJR AlgorithmVolker Franz and John B. Anderson, Fellow, IEEEAbstract-We apply two reduced-computation variants of the
McGill - MATH - 556
MATH 556 - EXERCISES 5 These exercises are not for assessment1. Using the Central Limit Theorem, construct Normal approximations to probability distribution of a random variable X having (i) (ii) (iii) (iv) a Binomial distribution, X Binomial(n, )
Sveriges lantbruksuniversitet - ENSC - 428
Simon Fraser University School of Engineering Science ENSC 428-4 Data Communications Spring 2001 Calendar Description This course will cover the physical-layer design issues in digital communication systems. The major topics covered are: information
McGill - MATH - 556
556: M ATHEMATICAL S TATISTICS IT HE K ULLBACK -L EIBLER D IVERGENCE The Kullback-Leibler (KL) divergence between two probability distributions with densities f0 and f1 with supports X0 and X1 respectively is defined asK (f0 , f1 ) =logX0f0 (X
McGill - MATH - 556
556: M ATHEMATICAL S TATISTICS IS TOCHASTIC C ONVERGENCE7Convergence ConceptsThe following denitions are stated in terms of scalar random variables, but extend naturally to vector random variables dened on the same probability space with measu
Sveriges lantbruksuniversitet - ENSC - 805
TRANSACTIONS IEEECOMMUNICATIONS, ON COM-32, VOL.NO. 10, OCTOBER 198410791983.[6] L. G . MasonandT.Gavin,An application of optimal control theory [9] B. A.Murtaughand M. A. Saunders, Large-scale lineariy conto modernization problems in telep
Sveriges lantbruksuniversitet - ENSC - 805
1744IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 19, NO. 9, SEPTEMBER 2001Turbo Equalization: Adaptive Equalization and Channel Decoding Jointly OptimizedChristophe Laot, Alain Glavieux, and Jol LabatAbstract-This paper deals with a r
Sveriges lantbruksuniversitet - BUS - 362
BUS 362: The Anal ysi s and Desi gn of Busi ness I nfor mati on Systemshttp:/ / mi s.bus.sfu.ca/ bus362Drew Parkerdr ew@ sfu.cahttp:/ / par ker .bus.sfu.caWeek 4 Agenda Whats new in technology this week? A couple of Interesting Questions to
Wilfrid Laurier - CPSC - 441
Link-State and Distance Vector Routing ExamplesCPSC 441 University of CalgaryLink-State (LS) Routing AlgorithmDijkstra's algorithm topology and link costs known to all nodes accomplished via "link state broadcast" all nodes have same info compute
Wilfrid Laurier - CPSC - 441
Assignment 3Shortest Path and Dijkstras Algorithm On a network, there may be more than paths from a certain node to another one The path with the smallest weight sum is called the shortest path between the two nodes. Dijkstras algorithm offers a