Course syllabus adopted 2021-02-26 by Head of Programme (or corresponding).
Overview
- Swedish nameSystematisk datahantering
- CodeDAT335
- Credits7.5 Credits
- OwnerTKITE
- Education cycleFirst-cycle
- Main field of studyComputer Science and Engineering, Software Engineering
- DepartmentCOMPUTER SCIENCE AND ENGINEERING
- GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail
Course round 1
- Teaching language English
- Application code 52117
- Maximum participants15
- Block schedule
- Open for exchange studentsNo
- Only students with the course round in the programme overview.
Credit distribution
Module | Sp1 | Sp2 | Sp3 | Sp4 | Summer | Not Sp | Examination dates |
|---|---|---|---|---|---|---|---|
| 0117 Examination 4.5 c Grading: TH | 4.5 c |
| |||||
| 0217 Written and oral assignments 3 c Grading: UG | 3 c |
In programmes
Examiner
Philipp Leitner- Head of Unit, Interaction Design and Software Engineering, Computer Science and Engineering
Eligibility
General entry requirements for bachelor's level (first cycle)Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Specific entry requirements
The same as for the programme that owns the course.Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Aim
The course introduces the students to the role of data, information, and knowledge insoftware engineering. The course has two general themes: (1) fundamental concepts
related to data in software engineering; (2) basic principles of database systems as seen
by users, application programmers and database administrators.
Learning outcomes (after completion of the course the student should be able to)
Knowledge and understanding- explain the differences between data, information and knowledge,
- explain basic concepts: relational data model, non-relational data model, entity-relationship model, relational database design, relational algebra and the database language SQL
- explain the ideas of distributed and NoSQL databases, and contrast them to the relational model
Skills and abilities
- construct an algorithm for querying and filtering data based on predefined criteria
- manage the process of collecting and representing data in a database
- build a data model (entity-relationship model)
- create database tables, and formulate database queries in SQL
- experiment with data technologies such as big data and open data
- manage and query NoSQL database systems
- assess the quality of data and correctness of data models
- evaluate the applicability of data management techniques for a given purpose, especially with respect to comparing monolithic and distributed, and relational and NoSQL database management systems
Content
The course introduces the student to the role of data, information, and knowledge in software engineering. The course has two general themes: (1) fundamental concepts related to data in software engineering; (2) basic principles of database systems as seen by users, application programmers and database administrators.
The course introduces concepts and techniques related to working with data, information and knowledge, although the focus is mostly on data and information. Techniques related to extraction, representation, modeling, and access , and visualization of data are discussed.
The course then introduces the role of databases and database management systems, covering topics such as algebra and the relational database, logical and physical design of databases, and the use of SQL. This includes programming in SQL, from the perspective of a user querying or modifying an existing database, by a database designer, and by an application programmer invoking SQL from a host language. Further, the student learns to query NoSQL databases, and contrast them to the relational model. The course also covers different data models such as XML, RDF, and JSON.
Organisation
The teaching consists of lectures, group work, exercises, as well as supervision inconnection to the exercises.
Literature
Ramez Elmasri, Shamkant B. Navathe: Fundamentals of Database Systems (7th Edition)
Examination including compulsory elements
Written exam and assignments.The course examiner may assess individual students in other ways than what is stated above if there are special reasons for doing so, for example if a student has a decision from Chalmers on educational support due to disability.