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Course Criteria
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1.50 Credits
This course focuses primarily on fraud committed against organizations and frauds committed on behalf of organizations. Students will be asked to work on problems and case studies, view videos, listen to outside speakers, conduct research, and utilize technology to learn about fraud. The motivation for the course arises from the pervasiveness of the accounting fraud problem, the importance to accountants of an understanding of the approaches and tools used to prevent, investigate, detect, and prosecute fraud perpretrators, and because of the important career opportunities that are available to forensic accountants.
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1.00 Credits
This course will provide students with an overview of the rules relating to consolidated income tax returns including important elections and other filing matters. Other topics to be covered include the computation of consolidated taxable income and intercompany transactions and distributions.
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1.00 Credits
This course will provide students with an overview of the rules relating to consolidated income tax returns including important elections and other filing matters. Other topics to be covered include the computation of consolidated taxable income and intercompany transactions and distributions.
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3.00 Credits
This course is intended for those students who may or may not plan to use statistics in their chosen careers, but wish nevertheless to become informed and astute consumers. Topics include statistical decision-making, sampling, data representation, random variables, elementary probability, conditional probabilities, independence, and Bayes' rule. The methodology will focus on a hands-on approach. Concepts and terminology will be introduced only after thorough exposure to situations that necessitate the concepts and terms. Care will be exercised to select a variety of situations from the many fields where statistics are used in modern society. Examples will be taken from biology and medicine (e.g. drug testing, wild animal counts), the social sciences, psychology, and economics. This course counts only as general elective credit for students in the College of Science.
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3.00 Credits
The goal of this course is to give students an introduction to a variety of the most commonly used statistical tools. A hands-on approach with real data gathered from many disciplines will be followed. Topics include inferences based on two samples, analysis of variance, simple linear regression, categorical data analysis, and non-parametric statistics. This course counts only as general elective credit for students in the College of Science.
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3.00 Credits
An introduction to solving mathematical problems using computer programming in high-level languages such as C.
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3.00 Credits
An introduction to the principles of statistical inference following a brief introduction to probability theory. This course does not count as a science or mathematics elective for mathematics majors. NOTE: Students may not take more than one of ACMS 20340, BIOS 40411 and MATH 20340. Not open to students who have taken MATH 30540.
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3.50 Credits
An introduction to the methods of applied mathematics. Topics include: basic linear algebra, partial derivatives, Taylor and power series in multiple variables, Lagrange multipliers, multiple integrals, gradient and line integrals, Green's theorem, Stokes theorem and divergence, Fourier series and transforms, introduction to ordinary differential equations. Applications to real-world problems in science, engineering, the social sciences and business will be emphasized in this course and ACMS 20750. Computational methods will be taught. Credit is not given for both ACMS 20550 and PHYS 20451.
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3.00 Credits
The objective of this class is to impart the fundamental knowledge in linear algebra and computational linear algebra that are needed to solve matrix algebra problems in application areas. Appropriate software packages will be used. Numerical Linear Algebra will be taught in parallel with a programming course - Scientific Programming, which provides students with basic knowledge of programming languages. As prerequisite or corequisite: ACMS 20210 Scientific Computing.
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3.50 Credits
The fundamental methods of applied mathematics are continued in this course. Topics include: variational calculus, special functions, series solutions of ordinary differential equations (ODE), orthogonal functions in the solution of ODE, basic partial differential equations and modeling heat flow, vibrating string, and steady-state temperature. Topics in complex function theory include contour integrals, Laurent series and residue calculus, and conformal mapping. The course concludes with a basic introduction to probability and statistics. Credit is not given for both ACMS 20750 and PHYS 20452.
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