2024-2025 / INFO9016-1

Advanced Databases

Duration

24h Th, 20h Pr, 20h Proj.

Number of credits

 Master MSc. in Computer Science, professional focus in computer systems security5 crédits 
 Master MSc. in Computer Science, professional focus in computer systems security (double diplômation avec HEC)5 crédits 
 Master MSc. in Data Science, professional focus5 crédits 
 Master MSc. in Data Science and Engineering, professional focus5 crédits 
 Master MSc. in Computer Science and Engineering, professional focus in management5 crédits 
 Master Msc. in computer science and engineering, professional focus in intelligent systems5 crédits 
 Master MSc. in Computer Science, professional focus in management5 crédits 
 Master MSc. in Computer Science and Engineering, professional focus in computer systems and networks5 crédits 
 Master MSc. in Computer Science and Engineering, professional focus in computer systems and networks (double diplômation avec HEC)5 crédits 
 Master MSc. in Computer Science, professional focus in intelligent systems5 crédits 

Lecturer

Christophe Debruyne

Language(s) of instruction

English language

Organisation and examination

Teaching in the second semester

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

This course aims to introduce students to current techniques, methods, and results from the field of database systems and data management.

While specific topics the lecturer covers may vary over time, topics typically include spatial databases, temporal databases, deductive databases, data warehousing, and NoSQL databases.

The project furthermore consists of developing a 1-hour presentation for the class from a list of topics provided at the beginning of the semester. Students are required to attend at least three such presentations.

Learning outcomes of the learning unit

The student develops an awareness of the various database and data management systems beyond relational databases. The student can describe each technology's characteristics and identify when a specific technology is suitable for a particular problem. The student can investigate a particular technology and present the results of their investigation.

This course contributes to the learning outcomes I.1, I.2, III.1, III.3, VI.1, VII.1, VII.2, VII.4 of the MSc in computer science and engineering.

 

Prerequisite knowledge and skills

  • INFO0009 (*)
  • INFO9015 (*)
  • Some programming experience.
(*) Or equivalent if the student comes from another institution.

Students are expected to be familiar with operating systems and containers (or eager to acquire those skills outside the class).

Planned learning activities and teaching methods

  • Ex-cathedra lectures, followed by exercises.
  • Assignments.
  • A project leading a 1-hour presentation for the class.

Mode of delivery (face to face, distance learning, hybrid learning)

Face-to-face course

Course materials and recommended or required readings

Slides, which are part of the required readings, will be available on eCampus. Links to standards and papers will be shared on eCampus.

Exam(s) in session

Any session

- In-person

written exam ( open-ended questions )

Written work / report

Continuous assessment

Other : Presentation


Further information:

The evaluation consists of:

  • A written exam (40%)
  • A project resulting in a 1-hour presentation for the class (20%)
  • Assignments (40%)
During the year, four assignments will count toward 40% of the total grade. Of the first three assignments, the assignment with the lowest grade will be dropped. The remaining two will count towards half of the 40%. The fourth assignment, tied to the project, counts towards the other half of the 40%. The assignments are to be conducted in groups of three students.

Groups of three students will prepare a 1-hour presentation on a topic from a list available on eCampus. Students may also propose their topics, but these have to be approved by the professor. Students are expected to attend at least three other presentations.

The assignments and the presentation are mandatory learning activities. Students who do not participate in these activities will receive an absence grade (A) for the course.

The exam will contain questions about the material covered in class and the presentations that students have prepared and attended.

The final grade will be determined using a weighted average of all evaluations. However, to be eligible for the weighted average calculation, students must attain a minimum grade of 8/20 on the exam and the combined result of the project and assignments. Otherwise, the student's lowest assessment grade will be used as their final grade for the course.

Work placement(s)

Organisational remarks and main changes to the course

The course is organized in English. All material will be made available on eCampus. 

Contacts

Lecturer: Christophe Debruyne (c.debruyne@uliege.be)

Association of one or more MOOCs