spring 2018 INF-8701 Advanced database systems - 10 ECTS

Application deadline

Application deadline is December 1st. Application code: 9303. Remember to write the course code in the extra information field.

Registration for class and exam in Studentweb by February 1st.

PhD students in computer science at UiT go directly to Studentweb to register for class and exam. Others need to apply, and be granted admission prior to register for class and exam.


Type of course

This course is available for registered PhD students in computer science or equivalent at a university.

Admission requirements

Admission requirements: PhD students or holders of a Norwegian master´s degree of five years or 3+ 2 years (or equivalent) in computer science may be admitted. Valid documentation is a statement from your institution that you are a registered PhD student, or a Master´s Diploma with Diploma Supplement / English translation of the diploma. PhD students are exempt from semester fee.

Course overlap

If you pass the examination in this course, you will get an reduction in credits (as stated below), if you previously have passed the following courses:

INF-3701 Advanced database systems 10 stp
INF-8701 Advanced database systems 4 stp
INF-3701 Advanced database systems 4 stp
D-312 Distributed and cooperating database systems 4 stp

Course content

The course covers advanced database system topics, and includes a selection of data management solutions that support environments where traditional centralized database systems cannot provide a suitable solution. 

Recommended prerequisites

INF-2700 Database Systems

Objectives of the course

Knowledge:

The student has knowledge of

  • advanced database system topics.
  • properties of advanced database systems.
  • advantages and limitations of existing data management solutions.
  • relationships between data management solutions and their use in application areas.

Skills:

The student has ability to

  • identify and evaluate properties of advanced database systems and data management solutions.
  • compare different data management solutions.
  • combine data management solutions with application areas.
  • identify and focus on a scientific problem.
  • identify and evaluate solutions for scientific problems.
  • identify contributions in scientific literature.
  • relate data management solutions to research and state-of-the-art in the area.

General competence:

The student has competence to

  • find, read and evaluate scientific literature.
  • convey technical knowledge to an audience through writing, presentation and discussions.
  • identify and analyze scientific challenges.
  • convey relevant research to an audience.

Language of instruction and examination

The language of instruction is English and all of the syllabus material is in English. Examination questions will be given in English, but may be answered either in English or a Scandinavian language.

Teaching methods

Lectures: 30 hours, Colloquium: 30 hours, Guidance: 30 hours. This course is given every spring semester.

Assessment

A 4 hour final written exam counting 100%. Approved assignments give access to the final written exam. Course requirements: The coursework includes up to 4 written assignments graded "Approved" / "Not approved". Oral presentation of the assignments and demonstration of a working system can be claimed. Grading scale: Letter grades A-F. Re-sit examination: It will not be given a re-sit exam in the teaching free semester for this course, unless a postponed exam already is arranged (conditional re-sit exam). To get access to the exam in the teaching free semester the student must have passed the course requirements. Postponed examination: Given early in teaching free semester. It will be arranged a 4 hour written exam counting 100%. To get access to the exam in the teaching free semester the student must have passed the course requirements. For further details see: - Utfyllende bestemmelser for eksamener ved Fakultet for naturvitenskap og teknologi (only in Norwegian) - Regulations for examinations at the UiT

Recommended reading/syllabus

Syllabus and reading list are available in Canvas / Fronter or by contacting the teacher or the student adviser.

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  • About the course
  • Campus: Tromsø |
  • ECTS: 10
  • Course code: INF-8701