Syllabus for Database Design II

Databasteknik II

Syllabus

  • 5 credits
  • Course code: 1DL400
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Computer Science A1N, Technology A1N

    Explanation of codes

    The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:

    First cycle

    • G1N: has only upper-secondary level entry requirements
    • G1F: has less than 60 credits in first-cycle course/s as entry requirements
    • G1E: contains specially designed degree project for Higher Education Diploma
    • G2F: has at least 60 credits in first-cycle course/s as entry requirements
    • G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
    • GXX: in-depth level of the course cannot be classified

    Second cycle

    • A1N: has only first-cycle course/s as entry requirements
    • A1F: has second-cycle course/s as entry requirements
    • A1E: contains degree project for Master of Arts/Master of Science (60 credits)
    • A2E: contains degree project for Master of Arts/Master of Science (120 credits)
    • AXX: in-depth level of the course cannot be classified

  • Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
  • Established: 2007-03-15
  • Established by:
  • Revised: 2022-10-23
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: Autumn 2023
  • Entry requirements:

    120 credits of which 15 credits in mathematics and 30 credits in computer science or information systems, including a second course in computer programming. Participation in Database Design I or some other first course in databases. Participation in Algorithms and Data Structures I. Proficiency in English equivalent to the Swedish upper secondary course English 6.

  • Responsible department: Department of Information Technology

Learning outcomes

On completion of the course, the student should be able to use design, techniques and representation methods that are used in modern database management systems for advanced applications.

Content

The course contains a deeper treatment of the database area that comprises

  • introduction to safety and access control,
  • mechanisms for data integrity,
  • an overview of advanced design of database systems with procedural SQL and application interfaces,
  • functions of active databases with database rules or triggers,
  • an overview of the functions of object-oriented and object relational databases,
  • query processing of database queries including relational algebra, relational calculus and query optimisation
  • the structure and the functions of a data warehouse
  • handling of non-conventional data within multimedia and spatial databases,
  • the structure and the functions of distributed database systems,
  • handling of distributed databases,
  • the tuning of database parameters, and
  • an overview of requirements from, and design of, advanced database applications.

Instruction

Lectures, problem solving sessions, laboratory work and assignments. Also seminars and guest lectures can occur.

Assessment

Written examination (3 credits) and assignments (2 credits).

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.

Reading list

Reading list

Applies from: Autumn 2023

Some titles may be available electronically through the University library.

  • Padron-McCarthy, Thomas; Risch, Tore Databasteknik

    Lund: Studentlitteratur, 2005

    Find in the library

  • Elmasri, Ramez; Navathe, Sham Fundamentals of database systems

    6. ed.: Upper Saddle River, N.J.: Pearson Education, 2010

    Find in the library