What are your research interests in computer science?

What are your research interests in computer science?

Areas of research in the field include algorithms, architecture, artificial intelligence, computer vision, computational biology, concurrency and distributed computing, database systems, machine learning, machine vision, natural language processing, networks, numerical analysis, programming environments, programming …

What are the areas of computer science research?

Research areas

  • Architectures, Compiler Optimization, and Embedded Systems.
  • Bioinformatics and Computational Biology.
  • Data Mining, Databases, and Geographical Information Systems.
  • Graphics and Immersive Computing.
  • High Performance Computing.
  • Human Computer Interaction (HCI)
  • Networks, Distributed Systems, and Security.

What are some recent topics in computer science?

5 Trends in Computer Science Research

  • Artificial intelligence and robotics.
  • Big data analytics.
  • Computer-assisted education.
  • Bioinformatics.
  • Cyber security.

What are the research methods in computer science?

CS 534 Research Methods in Computer Science

Topics Lecture Slides
Data Collection Techniques, Analysis and Interpretation of Quantitative Data, Descriptive Statistics, Lecture #13, #14
Sampling, sampling distribution, Parameter Estimation, Statistical Inference, confidence interval and Hypothesis Testing Lecture #15, #16

How do I choose a research topic?

Here are some tips:

  1. Choose a topic that you are interested in!
  2. Narrow your topic to something manageable.
  3. Review the guidelines on topic selection outlined in your assignment.
  4. Refer to lecture notes and required texts to refresh your knowledge of the course and assignment.
  5. Talk about research ideas with a friend.

What is artificial intelligence research?

Artificial Intelligence (AI) is the study of heuristic algorithms that solve “difficult” (e.g., NP) problems. AI algorithms are characterized by the search that they perform of alternative solutions, and the knowledge that they exploit (e.g., obtained from a domain expert) to focus the search on promising solutions.

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Why choose research topics on data mining?

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What are the most advanced concepts in data mining?

Most Advanced Concepts in Data Mining: Multimedia data mining. High performance distributed data mining. Online data mining. Spatial and spatiotemporal data mining. Information retrieval and web data mining. Scientific data mining. Dependable real time data mining.