How To Come Up With Interesting Topics For Computer Science Research Papers

If you are looking for a great topic for your computer science research paper, there are both good and bad news. The downside is that lists of hot computer topics are not as easily found on the Web as those for most other subjects – perhaps because this discipline is so fast-changing, or because it is studied by relatively few people. However, the upside lies here as well: fresh topics are born almost every day, and many remain underexplored! Use the tips below to discover them.

  • Read computer news.
  • As a computer science student, you are probably subscribed to hi-tech news feeds. Read the recent entries you might have overlooked while being too busy with your studies. What have those guys invented – maybe a new way of data protection or a computer-human interface? Do you think this technology is promising? Why or why not? You can build a great research paper around answers to these questions.

  • Look through your lecture notes.
  • You may be lucky enough to have a real computer expert as your professor. He or she could have told you interesting things you would not read about in textbooks, including the most recent advancements in the field. Study your notes carefully to make sure you do not miss a hint on a fascinating research topic.

  • Brainstorm.
  • Find a quiet place and recall all ideas you ever had of developing your own piece of software. Perhaps it is time to test one of them? Write a program to achieve a specific purpose or test one of the concepts you have learnt. Report your findings – whether it works or not and why – and here is a truly unique research paper.

If neither of these methods has yielded what you need, here are few examples of interesting computer science research topics:

  • Speech-text conversion:
  • Explore the theoretical background, recent attempts, and challenges of creating a program that speaks and hears as well as a native speaker.

  • Image recognition:
  • Computers are still much worse at image recognition than humans. Are there any reasons to believe that this situation may change soon?

  • Automatic programmer:
  • Is it possible create a program language that can be compiled by computers and describe any applications?

  • Tele-presence:
  • Analyze the evolution of computer systems that create the effect of presence in another place over time and make forecasts of their further development.

  • The Turing test:
  • Discuss the rationale behind using the Turing test as a means to detect “true” AI, any possible alternatives, and whether any computer system has actually passed this test by now.

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