Hundreds of students get into troubles being accused of academic plagiarism due to inability to properly cite their sources.
15 January, 2014
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Computer science, as one of the fastest-developing fields, is so rich in great research topics that choosing a single one may be a challenge. Here are a few areas in which the most promising topics for research papers can be found.
The underlying patterns of computer architecture today are very different from what they were just a decade ago; due to open source libraries, loosely-typed language, and cloud storage. Investigate the ways of optimizing such structures or the trends of their further developments.
Computer systems are already able to self-learn by processing large data sets. Examples include Google filtered searches, ad targeting, and “big data” analysis. Can this be a way of developing artificial intelligence?
Discuss a single technology of representing complex data that is to be simultaneously accessed by lots of people – NoSQL, clever caching, or cloud based archives.
New types of cyber-attacks emerge constantly, and new means of computer security are needed to meet these challenges. Analyze one of the most recent vulnerabilities discovered in broadly used computer systems and how they can be resolved. Alternatively, explore the possible uses and evolution of a single data protection method; such as encryption, permission models, or security layers.
Investigate the current prospects and problems of computer networking systems.
As hardware becomes more adaptable and programmable, is there still a clear distinction between hardware and software? Can it completely vanish in the future?
A list of the twelve greatest challenges in computer science was created by Jim Gray in 1999. Most of these problems remain unsolved, though there have been considerable shifts and advancements. Pick a single problem and analyze what has been done to solve it over the recent decade, as well as what has yet to be done.
The concept of quantum computers is not new, but it was not until the late 2000s when it began to seem feasible. Discuss the recent advancements in building a quantum computer and the future prospects.
Teaching computers to recognize and use human languages is one of the greatest challenges in computer science. Google Translate, Wolfram Alpha, and Siri are all steps to solving this problem. Analyze a single attempt or a single aspect of this very broad topic, such as machine translation or speech recognition.
Can what we call “common sense” ever become available to machines? Explain the possible methods of common sense formalization, as well as the greatest pitfalls on the way.
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