List of available Professional Courses in Washington Township, Indianapolis - Page 34. The Professional courses in Washington Township are provided by the following institutes: Also, check out all Professional Courses in Indianapolis.
Keep your employees safe: Prepare them with hands-on training so they’re ready to move swiftly and decisively in the event of fire.
Basic Defensive Shotgun is an informational and hands-on class in the use of the modern pump or semi-automatic shotgun as a home defense weapon. A shotgun is an extremely effective, diverse, and psychologically intimidating self-defense weapon. But there are many misconceptions about it.
If you own a gun, you owe it to yourself, your family and your community to store, carry and use that gun safely and legally.
Here at Tim’s Shooting Academy, we take our mission of Safety and Education very seriously. As such, we are dedicated to teaching the safe use of firearms.
The first level of training is geared for the new shooter that has never fired a gun but would like to explore the world of firearms. Introduction to Firearms is co-educational. This is the best course to take prior to buying your first handgun. In this course, you will receive instruction on safe...
This course covers advanced programming techniques, including user-defined functions and types, recursion vs. iteration, and parameter-passing mechanisms. Students learn abstract data types and algorithms, programming style, object-oriented programming, and web programming.
This course covers the theory, design, and application of scientific and information visualization, including algorithm design and implementation.
This course introduces programming using the C language in a Unix (Linux) environment. The key ideas to be discussed are the Unix shell, file system, and basic shell commands, the Emacs text editor, and the C programming language.
Introduction to the design, construction, and control of autonomous mobile robots. This course covers the basic mechanics, electronics, and programming for robotics, and the applications of robots in cognitive science.
Models, algorithms, recurrences, summations, growth rates. Probabilistic tools, upper and lower bounds; worst-case and average-case analysis, amortized analysis, dynamization. Comparison-based algorithms: search, selection, sorting, hashing. Information extraction algorithms (graphs, databases).
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