Stockholm university logo, link to start page
Gå till denna sida på svenska webben

Internet Search Techniques and Business Intelligence

  • 7.5 credits

The course gives an insight into techniques for information retrieval and news monitoring on the Internet.

We will study the fundamentals of document processing, text summarisation, search engine principles and algorithms, web optimisation methods, as well as business intelligence applications and extraction of information from news using automatic text summarisation.
The course is taught in English. The students are welcome to use English and Swedish.

Goal
The course gives an insight into the techniques for Web information search
and analysis. After the course is finished, the students should be able
to:

  • Compare the models of information retrieval and web information analysis, explain their advantages and disadvantages.
  • Measure the quality of information retrieval and web analysis tools.
  • Explain the principles and algorithms used by major search engines and apply this knowledge for developing one’s own web documents, learn the latest trends in search engine technology.
  • Applying the extracted information for web mining and news monitoring.
  • Explain how Business Intelligence systems work, their strength and weaknesses.
  • Use the terminology and concepts in information retrieval, business intelligence, and web mining, i.e. web information analysis.
  • Course structure

    The distance students must be physically present for the written examination. All other course activities are carried out independently.

    Teaching format

    Lectures: 12 lectures x 2 hours
    Assignments: 3
    Laboratory exercises: 3 occasions x 3 hours

    Group work
    Laboratory exercises are carried out in groups of maximum two students, assignments in groups of maximum four students.

    Laboratory exercises may be completed at the university at fixed times under supervision of the course assistants. Alternatively, the students may do their laboratory exercises independently at any time in their own computing environment. Distance students do their laboratory exercises independently.

    Support from the teachers is available all the time through the Study platform.

    Assessment

    • 3 assignments
    • 3 Laboratory exercises (assignments and laboratory exercises 3,5 credits)
    • Written examination 4 credits

    To pass the course the student must pass the exam, the assignments and the laboratory exercises.

    Examiner

  • Schedule

    This is a preliminary schedule and is subject to continuous change. For this reason, we do not recommend print-outs. At the start of the course, your institution will advise where you can find your schedule during the course.
  • Course literature

    Note that the course literature can be changed up to two months before the start of the course.
  • Contact