Saturday 26 May 2012

Online Artificial Intelligence Course Reviews

Aspiring robotics engineers with a background in programming can find artificial intelligence courses within advanced online certificate programs, though there are sparse options for novice candidates.

Overview of Online Artificial Intelligence Courses

Both online- and campus-based universities offer graduate-level certificate programs for artificial intelligence (AI) that can be completed through the Web. Most online artificial intelligence programs are designed for working software engineers or graduate students, and several advanced mathematics and computer programming prerequisites are strongly recommended. Generally, program length is around one year with some variation between schools. With an extensive knowledge of AI, those who complete these online programs may choose to take further programming courses or enter research or academic fields with a focus in robotics.

Course Requirements

There is generally no specific discussion forum software required for online artificial intelligence programs, but students need a reliable Internet connection and are strongly recommended to use browsers that can support extensive video viewing. AI classes are offered through prerecorded lectures, downloadable assignments and e-mail correspondence with the instructor. Some programs may require the additional purchase of a course textbook, which can usually be ordered online.

List of Online Classes in Artificial Intelligence (AI)

Robotics Introduction Course

The material in this class provides an overview of artificial intelligence, from its history to the extent of modern research in the field. Students may learn about the mathematical and logistical elements of robotics, as well as the philosophy of artificial intelligence, kinetics and program design. The class format generally consists of reading assignments, weekly graded coursework and lectures transmitted through the Web.

Elements of Language Processing Course

This class is generally offered at the beginning of AI programs. It covers developments in the field of natural language processing (NLP) and the function of linguistic reasoning capabilities in computers. Students learn algorithmic and programming approaches to artificial understanding of language. They also examine modern developments such as voice recognition software. Coursework may include graded programming assignments and quizzes.

Computer Processing Network Course

This class covers the programming of neuron simulation that is integral to the visual recognition of AI robots. Lessons also discuss the application of advanced neuron network simulation to real-world situations in environmental robotics and the finance sector. The course is closely related to machine learning, and may be offered as an elective or as a component of a broader AI course.

Visual Processing and Machine Learning Course

Students learn techniques for programming machine reasoning in this class. They study pattern recognition, learning theory, algorithm development and bioinformatics. Emphasis is placed on converting artificial data processing via applied problem solving and logic. Generally, students complete several relevant assignments throughout the course, as well as a final project. This class is usually offered near the end of AI programs.

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