11 courses with the subject MAT, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
This course is a study of algebraic and transcendental relations, with emphasis on applications in the physical sciences. Limits, differentiation, applications of derivatives, related rates, implicit differentiation, integration by substitution and applications of integration will be the main topics covered. (4)
This course is a study of algebraic and transcendental relations, with emphasis on applications in the physical sciences. Limits, differentiation, applications of derivatives, area under the curve, Fundamental Theorem of Calculus, methods of integration, and applications of integration will be the main topics covered. (4)
This course covers general statistical methods used in the collection, presentation, analysis and interpretation of statistical data. It includes measures of tendency, dispersion, probability theory, probability distributions, central limit theorems, hypothesis testing on proportions and means, ANOVA, regression analysis and correlation. This course will require statistical applications using computer software. Applications in biology, chemistry, health care and pharmaceutical science will be explored. (3)
This course covers general statistical methods used in the collection, presentation, analysis and interpretation of statistical data. It includes measures of tendency, dispersion, probability theory, probability distributions, central limit theorems, hypothesis testing on proportions and means, ANOVA, regression analysis and correlation. This course will require statistical applications using computer software. Applications in biology, chemistry, health care and pharmaceutical science will be explored. This course is open only to students in the College’s BS programs. (3)
This course is a continuation of Calculus I, and is primarily focused on expanding the repertoire of integration techniques to include: powers of trigonometric functions, powers of hyperbolic functions, trigonometric substitutions, rational functions, power series expansions, and improper integrals. In developing these methods, additional calculus concepts are examined, such as: implicit and logarithmic differentiation, L’Hopital’s rule, partial fraction decomposition, sequences, series, and Taylor series. (4); Prerequisite: MAT 121
This is a one-term treatment of ordinary differential equations with applications. Topics include classification of, and what is meant by the solution of a differential equation, first-order equations for which explicit solutions are obtainable, explicit methods of solving higher-order linear differential equations, and an introduction to systems of differential equations. Applications of first-order linear differential equations and second-order linear differential equations with constant coefficients will be studied. Applications in the mechanics of motion, population models, chemical reactions and other models will be used to motivate the particular differential equations to be solved. Technology will be an integral part of this class. (3); Prerequisite: MAT 211
This course provides an opportunity for students to participate in (1) a hands-on research experience or (2) a specialized study project under the guidance of a faculty member. The number of credit hours and scope of the project undertaken are at the discretion of the faculty member involved. MAT 290 is generally reserved for introductory level experiences and/or smaller scale projects. Students are expected to perform three hours of research or project related work per credit hour earned. (1-3) Prerequisite: permission of the instructor
Topics in Mathematics or Computation typically cover a specific topic in an area of pure mathematics, applied mathematics, statistics, or computation and are intended to enhance and expand the selection of offerings from semester to semester and offer specialized courses in emerging fields. The number of credit hours and scope of the course are at the discretion of the faculty member involved and requires approval by the department chair. Repeatable for credit. (1-3); Prerequisites: MAT111 or MAT121, and/or MAT145 or MAT155, and/or additional prerequisites required by the instructor based on the specific topics course being offered.
The Consolidated Standards of Reporting Trials (CONSORT) encompasses various initiatives developed to alleviate the problems arising from inadequate reporting of randomized controlled trials (RCTs). The main product of CONSORT is an evidence-based, minimum set of recommendations for reporting RCTs. The course, which will outline and detail many of the CONSORT guidelines regarding methods and results, will benefit those wishing to develop a better understanding of the statistical methods commonly found in the RCT literature as well as discerning important analytical components of pharmaceutical research. Topics will include discussions of sample size, power, outcomes, summary of results and statistical methods. (1); Prerequisites: PHD 410, MAT 145 or permission of the instructor
This course provides an opportunity for students to participate in (1) a hands-on research experience or (2) a specialized study project under the guidance of a faculty member. The number of credit hours and scope of the project undertaken are at the discretion of the faculty member involved. MAT 490 is generally reserved for more advanced research projects of students with prior research experience. Students are expected to perform three hours of research related work per credit hour earned. Faculty members may expect students to present their research in venues either internal or external to the college. Students are expected to perform three hours of research or project related work per credit hour earned. (1-3); Prerequisite: permission of the instructor
This course provides students with a basic knowledge of biostatistics. It includes methods of experimental design and data analysis used to make inference. Topics covered include confidence intervals, hypothesis testing, multivariable regression, generalized linear models, survival models and analysis of variance. The course will also include a component which introduces the students to statistical programming. (3)
Source: Albany College of Pharmacy and Health Sciences's catalog, linked per course · table learning_unit · CourseShelf publish 61
