IN9040 – Advanced Database Systems for Big Data

Schedule, syllabus and examination date

Choose semester

IN5040/IN9040 will not be taught Autumn 2021 due to sabbatical​ leave.

Exams in IN5040/IN9040 will not be held Autumn 2021 due to sabbatical​ leave​.

Teaching and exams spring 2022

In light of the most recent infection control regulations, we will at the start of the spring semester 2022 increase our online teaching, while we at the same time try to maintain in-person teaching where this is possible. We hope to go back to more in-person teaching later on in the semester. You will be informed about any changes in teaching or examinations on the semester page, in Canvas or through your regular channels.

Read more about postponed exams for the autumn semester 2021.

Course content

In this course you´ll learn about new database technologies to handle Big Data: Data Stream Management Systems, Complex Event Processing, Distributed and Heterogeneous Database Systems, Data Warehousing and Data Mining, Web Data Management, and Cloud Data Management.

Learning outcome

After you have successfully passed this course:

  • You know the challenges, initiatives and history of the new database technologies to handle Big Data.
  • You are able to explain the idea, application domains, concepts, and structure of Data Stream Management Systems, Complex Event Processing, Distributed and Heterogeneous Database Systems, Data Warehousing and Data Mining, Web Data Management, and Cloud Data Management.
  • You understand the strength and weaknesses of the new database technologies to handle Big Data: how the specific problems can be solved, which new problems are introduced, and how these problems can be solved; which challenges are introduced by data centers.
  • You have the ability to identify and discuss the strength and weaknesses in Big Data Management solutions. You can design and apply concepts for specific Big Data solutions to improve existing approaches.
  • You have in-depth knowledge about the fundamentals and usage of Data Stream Management Systems and Complex Event Processing through the lectures and the mandatory exercise.

Admission to the course

IN5040/IN9040 will not be taught Autumn 2021 due to sabbatical​ leave.

Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.

A maximum of 60 students (IN5040 and IN9040 alltogether).

Ranking:

  1. Phd-studentes who have the course approved in their study plan
  2. Masterstudents in Informatics: Programming and System Architechture/Informatics: Programming and Networks who have the course approved in their study plan
  3. Masterstudenter in Informatics-programs who have the course approved in their study plan
  4. Masterstudents at the Mat.Nat-faculty who have the course approved in their study plan
  5. Masterstudents in Informatics-programs
  6. Others

IN2090 – Databaser og datamodellering and IN3020 – Database Systems/IN4020/INF3100 – Database Systems (continued)/INF 212.

Overlapping courses

Teaching

3 hours lectures per week, emphasis is given on active involvement of the course participants in discussions and problem solving.

Mandatory presentation on selected topics in Big Data Management.

It is strongly recommended to attend the first lecture since it will be given important information.

The course includes mandatory assignments.

Examination

Exams in IN5040/IN9040 will not be held Autumn 2021 due to sabbatical​ leave​.

Oral or written exam (depending on the number of course attendees).

All mandatory assignments must be approved to be allowed to take the exam.

It will also be counted as one of your three attempts to sit the exam for this course, if you sit the exam for one of the following courses: IN5040 – Advanced Database Systems for Big Data, INF5100 – Advanced database systems (continued)/INF9100

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

Resit an examination

Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester. Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.

Special examination arrangements, use of sources, explanations and appeals

See more about examinations at UiO

Last updated from FS (Common Student System) Jan. 16, 2022 10:18:37 PM

Facts about this course

Credits
10
Level
PhD
Teaching

Autumn 2020

Teaching language
Norwegian (English on request)