Engineer school training courses in Evansville, IN (public, in-house or online)

The University of Evansville now offers a Master of Science Degree in Electrical Engineering and Computer Science. The MSCSE program is designed for working professionals who have a bachelor’s degree in computer science, computer engineering or electrical engineering or traditional students coming into the University system who wish to earn their BS and MS degrees, concurrently, within five years.

The Information and Computer Science (ICS) curriculum prepares students for a broad range of computer opportunities in industry as well as in graduate studies. ICS students choose one or more specialty areas from among these four options: Computer Science, Software Engineering, Data Management, or Networking and Security. Depending on their chosen specialty area, ICS graduates are well prepared for these industry positions: Web programmer, applications programmer, systems analyst, information te...

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An area of study that provides individuals with the skills, techniques, and tools to succeed in a wide range of organizational settings is Industrial Engineering. Industrial Engineering involves the design, installation, resource allocation and improvement of integrated systems. These systems may be composed of one, some, or all of the following: people, information, equipment, energy, materials, software, and processes. If solving problems, interacting on multi-disciplinary teams, and working i...

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This course is an introduction to financial and contract management for technical managers. Topics include financial and management accounting (including elementary accounting principles, assets, liabilities, and stockholders’ equity); direct and indirect costs, revenues, and profits; indices to financial position; use of financial reports; return on investment, net present value; internal rate of return; and financial management (including cash and funds flow statements). An introduction t...

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This course introduces statistical concepts and analytical methods as applied to data encountered in biotechnology and biomedical sciences. It emphasizes the basic concepts of experimental design, quantitative analysis of data, and statistical inferences. Topics include probability theory and distributions; population parameters and their sample estimates; descriptive statistics for central tendency and dispersion; hypothesis testing and confidence intervals for means, variances, and proportions...

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