Geometry.Net - Pure_And_Applied

Discrete Math/Theory Of Computing Seminar
discrete math/Theory of Computing Seminar. Rutgers University, Piscataway,NJ. Fall 2001. Organizers Eric Allender and Michael Saks. Other semesters.
http://www.math.rutgers.edu/~saks/DMSEM/F01/
Discrete Math/Theory Of Computing Seminar
discrete math/Theory of Computing Seminar. Rutgers University, Piscataway,NJ. Spring 2003. Organizers Eric Allender and Michael Saks. Other semesters.
http://www.math.rutgers.edu/~saks/DMSEM/
Second Bay Area Discrete Math Day
The Bay Area discrete math Day, SPRING 2001. The Second BADMath Daywill take place at San Francisco State University, April 14, 2001.
http://fener.sfsu.edu/~serkan/BADMath.html

Extractions: The Second BADMath Day will take place at San Francisco State University , April 14, 2001. As the First BADMath Day , this one-day meeting hopes to facilitate the communication between researchers and graduate students of discrete mathematics around the San Francisco bay area. BADMath Days happen semi-annually where we create a fairly informal atmosphere to talk about discrete mathematics. The term ``discrete mathematics'' is chosen to include at least the following topics: Algebraic and Enumerative Combinatorics, Discrete Geometry, Graph Theory, Coding and Design Theory, Combinatorial Aspects of Computational Algebra and Geometry, Combinatorial Optimization, Probabilistic Combinatorics, Combinatorics in Mathematical Physics, etc. The Second BADMath Day will be held in the Blakeslee Room on the top floor of Thurnton Hall , the building where the Mathematics Department is. The Math department is on the ninth floor of the building and you need to take the elevator to this floor, and then walk one flight up to Blakeslee Room. There will be clearly marked signs on the day of the meeting. Andrei Okounkov from UC Berkeley and postcript or in pdf format. If you have questions please contact the local organizer
Discrete Math For Middle And High School Teachers
Summer 2002 discrete math for Middle and High School Math Teachers. Topicsin discrete math are integrated throughout the math curricula
http://amath.colorado.edu/outreach/discrete/2002/

Extractions: Applied Mathematics Instructor: Mary Nelson Instructor: Joanie Funderburk ... Outreach Page Other Workshops: Calculus Probability/Statistics Topics in Discrete Math are integrated throughout the math curricula at the middle and high school levels. Join this workshop and we'll explore selected topics in combinatorics, election theory and fair division problems, graph theory and recursion relations. We will include the use of technology and JAVA-based simulations in order to reinforce the concepts of the course. This workshop will help prepare you to teach these topics with depth and enthusiasm. This material is aligned with the Colorado model content standards. Two units of graduate credit can be given for completion of the course. This course will be offered July 8-18, 2002 at the University of Colorado Boulder campus. We will meet from 8:30 until 3pm from Monday through Thursday of both weeks in the Muenzinger Psychology building room E118. There will be a combination of lectures and labs during the morning sessions and the afternoons will be spent in problem sessions.
Fourth Biannual Bay Area Discrete Math Day
The Bay Area discrete math Day, SPRING 2002. The Fourth Bay Area DiscreteMath Day will take place at Stanford University on Saturday
http://math.stanford.edu/~maclagan/badiscretemath.html

Extractions: The Fourth Bay Area Discrete Math Day will take place at Stanford University on Saturday March 30, 2002 between 10:00 and 6:00. The location is Room 380-380C in the basement of Building 380 (the math department). There will be clearly marked signs on the day of the meeting. All parking lots near the math department are free on Saturdays. Bay Area Discrete Math Days are one-day meetings aimed at facilitating communication between researchers and graduate students of discrete mathematics around the San Francisco Bay Area. These days happen semi-annually and strive to create a fairly informal atmosphere to talk about discrete mathematics. The term "discrete mathematics" is chosen to include at least the following topics: Algebraic and Enumerative Combinatorics, Discrete Geometry, Graph Theory, Coding and Design Theory, Combinatorial Aspects of Computational Algebra and Geometry, Combinatorial Optimization, Probabilistic Combinatorics, and Combinatorics in Mathematical Physics A poster to advertise the meeting is available in postscript and pdf formats.
Discrete Math Homework
Classwork and Homework for discrete math Taught by Mr. Thompson Last updated Monday,December 2, 2002. discrete math does not meet during second trimester.
http://hs.riverdale.k12.or.us/~dthompso/homework/discretemath12.html
COMS W3203-2 Discrete Math
COMS W32032 discrete math. Tentative schedule (subject to change). Course Outlinefor COMS W3203-2 discrete math. Original Date. Class No. Semester Date.
http://www.cvn.columbia.edu/Courses/Spring2003/COMSW3203-2.html

Extractions: Foundations: logic, sets, sequences, strings, proofs, mathematical induction, recursion. Number theory: Euclidean algorithm, modular arithmetic, Chinese remainder theorem, RSA encryption. Combinatorics: permutations and combinations, elementary finite probability, recurrence relations, inclusion-exclusion principle. Graph theory: isomorphism, planarity, circuits, trees, directed graphs. PROFESSOR GRUNSCHLAG: Assistant Professor, Computer Science Department APPLICABLE DEGREE PROGRAMS This course is a co-requesite for Data Structures (CS 3137 or 3139) and together, these two courses are pre-requisite for most of the junior and senior level course offered by the CS department.
COMS W3203-2 Discrete Math
COMS W32032 discrete math.
http://www.cvn.columbia.edu/courses/Fall2002/COMSW3203-2.html
Kenston High School ~ Discrete Math
discrete math. Where Do I go From Here? Students who pass discrete math are encouragedto continue where they left off in the traditional mathematics sequence.
http://www.kenston.k12.oh.us/khs/math/math_placement_discrete_2001.htm

Extractions: This course is dedicated to getting more students into advanced math classes. Discrete topics include an introduction to logic, an in depth study of matrices, combinatorics and an examination of graph theory. A calculator or computer with statistical graphing capabilities is assumed throughout the text. Where Do I go From Here?
Discrete Math Implementation
discrete math Implementation. ABET mathematics. To ensure adequate coverageof discrete math concepts, the UPC followed the following steps
http://www.ece.wpi.edu/~mcneill/uprogc/discmath.html

Extractions: Discrete Math Implementation ABET criteria state that students graduating with an ECE major demonstrate a knowledge of discrete mathematics. To ensure adequate coverage of discrete math concepts, the UPC followed the following steps Determine what topics constitute discrete math Determine: Identify best "home" for topics not covered: Prof. Whitmal chaired an ad hoc discrete math subcommittee which reported on these issues. After research on definitions of discrete math from organizations such as MAA and ACM/IEEE, the following topics were identified: Although there was coverage of discrete math topics in existing courses (e.g. Boolean algebra in EE2022), some topics traditionally associated with discrete math (e.g. graph theory, proofs/algorithms) were not covered in ECE courses. The UPC considered a number of options for increasing coverage of the discrete mathematics, including:
APC515 Data Structures And Discrete Math
APC515 Data Structures and discrete math. 3 credits. Scheduling Data Structuresand discrete math is scheduled to be offered at the following times.
http://www.cse.ogi.edu/courses/APC515/

Extractions: This course covers fundamental topics in data structures and discrete mathematics. The topics are presented in an integrated manner that provides the discrete math foundations for data structures and computing applications of discrete mathematics concepts. Topics covered include stacks, queues, linked lists, trees, algorithms for searching and sorting, finite state automata, and concepts of computability and decidability. Topics from discrete math include sets and various types of relations (functions, graphs, trees, lattices), recursion and inductive proofs, boolean logic, relational algebra, predicate calculus, series and limits, and asymptotic behavior of searching and sorting algorithms. Programming exercises are assigned throughout the course. Prerequisites
APC515 Data Structures And Discrete Math | Oregon Graduate Institute
APC 515 Data Structures and discrete math (3 credits) This course coversfundamental topics in data structures and discrete mathematics.
http://www.cse.ogi.edu/AppliedComputing/apc515.html

Extractions: This course covers fundamental topics in data structures and discrete mathematics. The topics are presented in an integrated manner that provides the discrete math foundations for data structures and computing applications of discrete mathematics concepts. Topics covered include stacks, queues, linked lists, trees, algorithms for searching and sorting, finite state automata, and concepts of computability and decidability. Topics from discrete math include sets and various types of relations (functions, graphs, trees, lattices), recursion and inductive proofs, boolean logic, relational algebra, predicate calculus, series and limits, and asymptotic behavior of searching and sorting algorithms. Programming exercises are assigned throughout the course.
Summary Of Discrete Math Seminars At SFU - 2001-1 To 2002-2
discrete math Seminars at Simon Fraser University 2001-1 to 2002-2. These pageschange regularly. Press Reload on your browser to get the latest information.
http://www.math.sfu.ca/~goddyn/Seminars/dmsem.html

Extractions: This seminar series is distinct from the informal Instructional Combinatorics Seminar and the Combinatorics Problem Session Semesters are listed in reverse chronological order. The symbol indicates that the anouncement is now official. Date / Time / Room Speaker Title (link to abstract) Summer 2002 Tue 14 May / 3:30 / EAA 1100 Rados Rodoicic, MIT Rainbow Arithmetic Progressions Tue 28 May / 3:30 / EAA 1100 Sean McGuinness, U. Umea and Montana Circuits intersecting cocircuits in graphs and matroids. Tue 11 Jun / 3:30 / EAA 1100 Claude Tardif, U. Regina The projectivity of the graphs $G_d^k$ Tue 18 Jun / 3:30 / K 9509 Joergen Bang-Jensen, U. Southern Denmark Steiner type problems in tournament-like digraphs Tue 25 Jun / 3:30 / K 9500 (!) Winfried Hochstaettler, Brandenburg U. of Tech. Max-flow min-cut duality for a paint shop problem Tue 02 Jul / 3:30 / EAA 1100 Luis Goddyn, Mathematics, SFU
Why We Teach Discrete Math
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http://www.is.titech.ac.jp/~watanabe/myhome/DM.html

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Discrete Math & Logic Sequence
21201, Undergraduate Colloquium, 1. xx-xxx, discrete math/Logic, 9. xx-xxx, TechnicalElective, 9. xx-xxx, Elective, 9. 45. Senior Year Fall. xx-xxx, discrete math/Logic,9.
http://www.math.cmu.edu/~rw1k/undergrad/dmlseq.htm

Extractions: Discrete Mathematics and Logic Suggested course sequence Sophomore Year: Fall Units Fundamental Data Structures and Algorithms Undergraduate Colloquium Combinatorial Analysis Linear Algebra I Modern Biology xx-xxx Humanities Elective Spring Principles of Programming Undergraduate Colloquium xx-xxx Discrete Math/Logic xx-xxx Technical Elective xx-xxx Humanities Elective Junior Year: Fall Computer Science Elective Basic Logic Advanced Calculus I xx-xxx Humanities Elective xx-xxx Elective Spring Computer Science Elective Algebraic Structures Graph Theory xx-xxx Humanities Elective xx-xxx Elective Senior Year: Fall xx-xxx Discrete Math/Logic xx-xxx Technical Elective xx-xxx Humanities Elective xx-xxx Elective xx-xxx Elective Spring xx-xxx Discrete Math/Logic xx-xxx Technical Elective xx-xxx Technical Elective xx-xxx Humanities Elective xx-xxx Elective Discrete Mathematics and Logic (Three of the following): Set Theory Field Theory Number Theory Recursion and Hierarchies Any of the following graduate courses: Introduction to Set Theory Introduction to Model Theory 21-610 Algebra I Mathematical Logic II Computer Science electives : Any two courses at the 300 level or above. The following are specifically suggested:
21-228: Discrete Math, Summer II 2000
Along the way we will meander through many of the topics typically presented inan introductory discrete math course as well as some that are overlooked by
http://www.math.cmu.edu/~odp/DiscreteN00/

Extractions: The most important and only real prerequisite is (mathematical) curiousity. We can shape this to fill just about any other prerequisite. Exposure to a "ransition to modern math" course such as 15-127 or 21-127 is helpful but not absolutely necessary. Please contact me if you have any doubts about your qualifications. The emphasis of this course will be on solving problems, and this is what we and you will spend a significant amount of time doing. Along the way we will meander through many of the topics typically presented in an introductory discrete math course as well as some that are overlooked by such a course. We will try to focus on problems that are easy to state, require creative application of course concepts, have elegant but not necessarily simple solutions, and most importantly, are fun to solve.
Discrete Math Group Page
Department of Computer Science Florida State University. The discrete mathgroup deals mostly with number theory and modern algebra problems.
http://websrv.cs.fsu.edu/~mascagni/research/dm.html

Extractions: Florida State University The discrete math group deals mostly with number theory and modern algebra problems. The group's current focus is developing software that generates primitive polynomials over GF(2) of a Mersenne Prime degree. After this software has been fully optimized, we will use it to help us implement the Mersenne Twister psuedorandom number generator. GROUP MEETINGS One problem necessary to our group's research is finding primitive roots of a prime p. We are mostly concerned with p being a Mersenne Prime, where p=2^k-1. A number a is a primitive root of an integer n if a is relatively prime to n and a is of order phi(n) modulo n. In the case where n is prime, phi(n) = n-1. For a to have order n-1, n-1 must be the smallest exponent j for which 2^j = 1 mod n. This happens if a^((n-1)/d)!=1 for every prime divisor d of n-1. The main obstacle in this process is finding all prime factor of n-1. If one only checks prime divisors below a certain bound, he has only some probablity of a being a primitive root of n-1. If one has found a primitive root a, a^i is also a primitive root for all i such that gcd(i,n-1)=1.
Algebra And Discrete Math Subfaculty
Gao); Shannon Purvis (NJ Calkin); Virginia M. Rodrigues (S. Gao); JohnVillalpando (R. Laskar). Additional Algebra/discrete math Links.
http://virtual.clemson.edu/groups/mathsci/graduate/algebra.html

Extractions: Algebra and Discrete Mathematics The area of algebra and discrete mathematics encompasses both theoretical and applied aspects of mathematics that are foundational for matrix analysis, modern algebra, number theory, combinatorics, and graph theory. This area of study has a significant impact on applications arising in statistics (linear models, experimental designs), probability (random models), operations research (mathematical programming, network analysis), communication engineering (coding theory, cryptography), and computer science (analysis of algorithms, nonnumerical computing). Students interested in the underlying theory of algebraic and discrete structures will also gain insights into how these concepts are fundamental to a wide array of practical problems. abstract algebra I abstract algebra II
CMSC-203: Discrete Math (spring 2001)
CMSC203 discrete math (spring 2001). Instructor. Millennium Math Problems - Earnmillions of dollars!! Some resources for research in discrete mathematics.
http://www.csee.umbc.edu/~sherman/Courses/203/spring01/

Extractions: [We will cover Chapters 5, 1-4, 7-8, 10, 6, in that order.] Every student is required to learn how to use Maple , which is a software package for doing symbolic and numerical mathematics. It is available for free on all UMBC mainframes (type "xmaple" under unix). The UMBC Bookstore sells Mac and PC versions of Maple for the standard student discounted price of about $120). Maple is the modern "calculator," which can empower you to visualize and compute better than you can do alone. There is an on-line tutorial and help feature. I have selected Maple (rather than Macsyma, Matlab, Mathematica) because it is the UMBC standard. Although you are not required to do so, you may find it helpful also to learn how to use the document-preparation system
Math Lab
discrete math Lab. When you visit the lab, you will be greeted and assistedby the discrete math Lab Tutor. Course Served MATH 222.
http://www.bgsu.edu/offices/acen/mathlab/discrete.htm

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