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The Carleton College Summer Mathematics Program for Women. Participants in past programs have reported. Women In Math website at University of. Carleton University is a comprehensive university located in the capital of Canada, Ottawa, Ontario. The enabling legislation is The Carleton University Act, 1952, S.O. Originally founded on rented premises in 1942. The Department of Physics offers a complete set of undergraduate programs including: A Bachelor of Engineering in Engineering Physics is also available, as is a Minor in Physics. In the B. Sc. Honours in Applied Physics Program, a Minor in Business can be obtained at the same time. The quantitative skills of a physicist are an asset in finance and commerce. This particular Minor has been customized for physics students. All of the department's programs emphasize problem- solving techniques and the development of critical thinking skills. Computation skills are developed as a tool for applying physics in the modern world. Bachelor of Science (Major) in Physics. The B. Sc. Programs such as Computer Science are often chosen as a Minor in combination with Physics, though any department offering a Minor is possible. It is a 2. 0. 0 credit program. Honours in Physics Program. The four- year Bachelor of Science (Honours) programs in Applied Physics and in Physics (either in the Experimental or Theory stream) each require 2. These degrees prepare you for a physics career in the industrial sector or for further studies in pure or applied physics at the graduate level. These three B. Sc. Honours programs start from a common first year in which you will take introductory Physics, another experimental science, Mathematics, Computer Science, as well as a selection from the Humanities or Social Sciences. In subsequent years there is also a common core to which the Applied Physics program adds additional courses in computing and electronics, while the Physics (Theory) program enhances the number of Mathematics courses. In the fourth year of the program, you will undertake a major individual project, done under the supervision of a faculty member. Combined Honours programs with Chemistry and Biology. The Department of Physics offers Combined Honours programs in Chemistry and Physics, and in Biology and Physics. These programs include the essentials of each discipline and are good preparation for work in industry or for graduate work. Double Honours program in Mathematics and Physics. The Double Honours B. Sc. It is excellent preparation for graduate school in either subject area. Engineering Physics. The Department of Physics collaborates with the Department of Electronics Engineering in offering a Bachelor of Engineering program in Engineering Physics. 1. Carleton offers a Bachelor of Arts in 32. Carleton's academic centers, programs. Center for Community & Civic Engagement (CCCE) Carleton Interdisciplinary Science & Math Initiative (CISMI) Viz: Visualizing the Liberal. 2. Is the Carleton University undergraduate program right for you? Read the Top Universities profile. 3. Carleton University offers a variety of programs that cover a wide range of areas. Within our 15 undergraduate degree programs, you will find more than 100 majors, concentrations and specializations from which to choose. The aim of this program is to produce engineers with a deep understanding of the scientific foundation of engineering so that they can contribute to the development of new engineering processes and devices rather than merely applying existing ones. If you are interested in this option, please visit the Engineering Department Website for more information. Minor in Physics. The Department of Physics also offers a Minor in Physics for students from other departments who are interested in studying physics. A Minor consists of 4. Carleton University - Canada's Capital University 4. Herzberg Building. Telephone: 6. 13- 5. Fax: 6. 13- 5. 20- 3. E- mail: mathstat@carleton. The School. Students pursuing studies in pure mathematics, applied mathematics, probability and statistics at the graduate level leading to an M. Sc. The Institute is responsible for supervising the programs, regulations, and student admissions, and for providing a framework for interaction between the two departments at the research level. For information, see the Ottawa- Carleton Collaborative Program in Biostatistic's section in this Calendar. For information see the Information and Systems Science section of this Calendar. Master of Science. Admission Requirements. The normal requirement for admission to the master's program is an Honours bachelor's degree in mathematics, or the equivalent, with at least high honours standing. Applicants holding a general (three- year) degree with at least high honours standing may be admitted to a qualifying- year program. Subsequent admission to the regular master's program depends on performance during the qualifying- year program and will be decided no later than one year after admission to the qualifying- year program. Details are outlined in the General Regulations section of this Calendar. Students with outstanding academic performance and research promise while in the M. Sc. Not all these courses may be taken in the same field of mathematics; at least 1. All master's students are required to participate actively in a seminar or project under the guidance of their advisor. A maximum of 1. 0 credit taken outside of the School of Mathematics and Statistics at. Carleton University or the Department of Mathematics and Statistics at the University of Ottawa may be allowed for credit. Students who plan to specialize in probability or statistics are strongly advised that during their master's program they include, where possible, the courses STAT 5. STAT 5. 50. 1 in mathematical statistics, STAT 4. STAT 5. 50. 5 in applied statistics, and STAT 4. STAT 5. 70. 1 in probability, together with 1. School of Mathematics and Statistics. In addition, a graduate course in another field, such as biology, biostatistics, economics, computer science, systems analysis, and. Doctor of Philosophy. Admission Requirements. The normal requirement for admission to the Ph. D. Details are outlined in the General Regulations section of this Calendar. Program Requirements. Course requirements, which are determined at the time of admission, include a minimum of 3. Not all of these courses may be taken in the same field of mathematics; at least 1. CARLETON CENTRAL PROVIDES ONLINE SERVICES FOR STUDENTS AND EMPLOYEES AT CARLETON UNIVERSITY. STUDENTS WILL FIND EVERYTHING YOU NEED TO REVIEW YOUR ADMISSION APPLICATION. All candidates must take comprehensive examinations, and must satisfy a language requirement. The language requirement is determined by the candidate's advisory committee and normally requires the ability to read mathematical literature in a language considered useful for his/her research or career, and other than the candidate's principal language of study. Students specializing in mathematics or probability undertake a comprehensive examination in the following areas: The candidate's general area of specialization at the Ph. D. Students specializing in statistics must write an examination in the following areas: Mathematical statistics which includes multivariate analysis. An examination in probability, and. An examination in either (i) applied statistics, or (ii) analysis. In all cases, the examination must be completed successfully within twenty months of initial registration in the Ph. D. Cheung. Associate Director: R. Blute. The School is a member of the Ottawa- Carleton Institute of Mathematics and Statistics (OCIMS) which offers one of the largest graduate programs in mathematics and statistics in Canada. Blute, Logic, Category theory (UO). Bourgault, Numerical methods, . Boyd, Combinatorial optimization (UO). Burgess, Algebra, non- commutative rings (UO) . Dawson, Stochastic processes and probability theory (C) . Dixon, Group theory, algebra . Farrell, Sampling, discrete data, applied statistics (C). Handelman, K- theory, operator algebras, ring theory (UO) . Ivanoff, Probability, point processes, martingales (UO) . Jaworski, Analysis, probability (C). Kreyszig, Partial differential equations, numerical analysis (C) . Le. Blanc, Differential equations, bifurcation theory, dynamical systems (UO). Levy, Group representations (UO). Mc. Donald, Applied probability (UO). Mc. Nab, Statistics (C) . Mills, Applied statistics, statistical methods, inference, data mining (C) . Mingarelli, Ordinary differential equations, difference equations (C) . Mojirsheibani, Resampling, classification and pattern recognition (C) . Montuno, Applied probability (C). Mortimer, Group theory, coding theory (C) . Panario, Finite fields, combinatorics, analysis of algorithms (C). Pandey, Generalized functions, partial differential equations (C) . Rao, Sample surveys theory and methods (C) . Saleh, Order statistics, . Scott, Logic, Category theory (UO). Sebbar, Number theory, quantum groups (UO). Singh, Statistics (C). Stojmenovic, Discrete mathematics, combinatorial algorithms, multiple- value logic, theoretical computer science (UO) . Walsh, Number theory, diophantine equations (UO). Williams, Number theory (C). Zarepour, Resampling and nonparametric Bayesian inference, time series analysis (UO) . Zhao, Applied probability (C)Graduate Courses. Not all of the following courses are offered in a given year. For an up- to- date statement of course offerings and to determine the term of offering, consult the class schedule at: central. University of Ottawa course numbers (in parentheses) follow the Carleton course number and credit information. MATH 5. 00. 3 . Special types of Banach algebras: for example, regular algebras with involution, applications. MATH 5. 00. 5 . Selected topics such as Daniell- Stone theory. Also offered, with different requirements, as MATH 4. Prerequisites: MATH 3. MATH 3. 00. 2 (MAT 3. School. MATH 5. 00. Topics selected from: weak- topologies, Alaoglu's theorem, compact operators, differential calculus in Banach spaces, Riesz representation theorems. Also offered, with different requirements, as MATH 4. Prerequisite: MATH 5. MAT 5. 12. 5) or permission of the School. MATH 5. 00. 9 . Representations, universal enveloping algebra. Semi- simple Lie algebras: structure theory, classification, and representation theory. Prerequisites: MATH 5. MAT 5. 14. 1) and MATH 5. MAT 5. 14. 2) or permission of the School. MATH 5. 10. 6 . Also offered, with different requirements, as MATH 4. Prerequisite: MATH 3. School. MATH 5. 10. Rings, field of fractions, principal ideal domains, modules. Polynomial algebra, Euclidean algorithm, unique factorization. Prerequisite: permission of the School. MATH 5. 10. 8 . Also offered, with different requirements, as MATH 4. Prerequisite: MATH 3. School. MATH 5. 10. Modules over principal ideal domains, decomposition of a linear transformation, Jordan normal form. Prerequisites: MATH 5. MAT 5. 14. 1) and permission of the School. MATH 5. 20. 1 . Detailed examinations of at least one modern approach to foundations, with emphasis upon the connections with group theory. Prerequisite: permission of the School. MATH 5. 20. 2 . Also offered, with different requirements, as MATH 4. Prerequisite: MATH 3. School. MATH 5. 20. Also offered, with different requirements, as MATH 4. Prerequisites: MATH 3. MAT 3. 14. 3) and MATH 5. MAT 5. 15. 1) or permission of the School. MATH 5. 20. 7 . Topics such as smooth mappings, transversality, intersection theory, vector fields on manifolds, Gaussian curvature, Riemannian manifolds, differential forms, tensors, and connections are included. Prerequisite: MATH 3. School. MATH 5. 30. Algebraic Geometry, Number Theory, and Finite Fields. Advanced topics on Public- Key Cryptography: RSA and integer factorization, Diffie- Hellman, discrete logarithms, elliptic curves. Topics in current research. Prerequisite: undergraduate honours algebra, including group theory and finite fields. MATH 5. 30. 1 . Propositional and predicate logic, proof theory, Gentzen's Cut- Elimination, completeness, compactness, Henkin models, model theory, arithmetic and undecidability. Special topics (time permitting) depending on interests of instructor and audience. Prerequisites: Honours undergraduate algebra, analysis and topology or permission of the instructor. MATH 5. 30. 5 . Also offered at the undergraduate level, with different requirements, as MATH 4. Prerequisite: MATH 3. School. MATH 5. 30. Also offered, with different requirements, as MATH 4. Prerequisite: MATH 3. School. MATH 5. 40. MAT 5. 18. 7)Topics in Applied Mathematics. MATH 5. 40. 5 . Nonlinear systems, existence and uniqueness, flow. Equilibria, periodic solutions, stability. Invariant manifolds and hyperbolic theory. One or two specialized topics taken from, but not limited to: perturbation and asymptotic methods, normal forms and bifurcations, global dynamics. Prerequisite: MATH 3. School. MATH 5. 40. Lp and Sobolev spaces, distributions, variational formulation and weak solutions, Lax- Milgram theorem, Galerkin approximation. Wave equations, hyperbolic systems, nonlinear PDEs, reactiondiffusion equations, infinite- dimensional dynamical systems, regularity. Prerequisite: MATH 3. School. MATH 5. 40. Also offered, with different requirements, as MATH 4. Prerequisite: MATH 5. School. MATH 5. 40. Asymptotic expansion of integrals: elementary methods, methods of Laplace, Stationary Phase and Steepest Descent, Watson's Lemma, Riemann- Lebesgue Lemma. Perturbation methods: regular and singular perturbation for differential equations, multiple scale analysis, boundary layer theory, WKB theory. Prerequisites: MATH 3. MATH 3. 00. 8 and MATH 3. School. STAT 5. 50. Regression approach to distribution theory of statistics; multivariate tests; correlations; classification of observations; Wilks' criteria. Prerequisite: MATH 3. STAT 5. 50. 1 . Also offered, with different requirements, as MATH 4. Prerequisite: MATH 4. 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