Research Methods for Computer Science

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Presentation transcript:

Research Methods for Computer Science

One of the primary goals of academic training is to learn how to learn, i.e., to learn how to continuously absorb new knowledge.

The process of exploring the unknown, studying and learning new things, building new knowledge about things that no one has understood before – that is what we think of as performing research.

The activity of a diligent and systematic inquiry or investigation in an area, with the objective of discovering or revising facts, theories, applications etc. The goal is to discover and disseminate new knowledge

Research Process Realize there is a problem Look to see if anyone has solved it Develop a plan to solve it Solve it Evaluate your solution Disseminate your solution

CS Research Inherently multidisciplinary (except for CS Ed) Other fields are not multidisciplinary Planned Specific Purpose Clear start and finish dates Finite resources (time, people, and money)

Continuing Educational Goals Refine your critical thinking skills Refine your ability to work independently or on a team Increase your understanding of how to use research tools Refine your oral and written presentation skills

Continuing Research Goals Deepen understanding of a topic Contribute to the community’s understanding of a topic

Key Players The researcher The supervisor The evaluator

Assessment Relevance Originality Significance Not plagiarized Clearly presented Consistent presentation Apparent understanding of topic Ability to handle references and citations Ability to meet deadlines Ability to adhere to formal requirements

Research Methods Procedures for collecting data Formulating a hypothesis Testing a hypothesis Interpreting results Drawing conclusions

Quantitative Research Develop models, theories, and hypotheses describing a phenomenon Quantitative methods involve measuring something that will help develop the model/theory/hypothesis Large samples needed Experiments are repeatable

Qualitative Research Discover underlying meanings and patterns of relationships without using or developing mathematical models. Qualitative methods involve fieldwork which could include interviews or personal observations Usually small sample sizes Experiments not necessarily repeatable

Qualitative research is frequently a precursor to quantitative research.

The Research Team Researcher Supervisor(s) Evaluator(s)

The Researcher Discuss with your supervisor what supervision and work schedule is good for you and them. Discuss the topic and timetable with the supervisor Stick with the schedule and don’t disappear from the supervisor’s radar Keep systematic records of work Submit written material with enough time for the supervisor to read it.

The Researcher Discuss the final submission details with the supervisor Don’t ignore criticisms or guidance from the supervisor Make sure you don’t do anything illegal Remember you are the driver Let the supervisor know of any problems Do your best.

The Supervisor Know the rules and standards of the organization regarding research Make sure the supervisees know the rules and standards Discuss dates and work schedules Give needed guidance Continuously update skill set Schedule regular meetings

Typical Evaluation Criteria Does the title correspond well to the contents? Does the abstract give a complete and correct picture of the contents? Can the abstract be understood without reading the paper? Does the introduction explain clearly what the investigated problem is? Does the introduction give a complete and brief overview of the whole project?

Evaluation Criteria Continued Are the conclusions reasonable? Are the arguments scientifically valid or are the too hypothetical? Is the summary well written?

Evaluation Criteria Continued Are there sources cited which are not referenced? Are there sources referenced but not cited? Are citations placed in the text in a reasonable way? Has the relevant literature been covered?