Kursplan för Systematisk datahantering

Kursplan fastställd 2017-02-23 av programansvarig (eller motsvarande).

Kursöversikt

  • Engelskt namnData Management
  • KurskodDAT335
  • Omfattning7,5 Högskolepoäng
  • ÄgareTKITE
  • UtbildningsnivåGrundnivå
  • HuvudområdeDatateknik, Informationsteknik
  • InstitutionDATA- OCH INFORMATIONSTEKNIK
  • BetygsskalaTH - Fem, Fyra, Tre, Underkänd

Kurstillfälle 1

  • Undervisningsspråk Engelska
  • Anmälningskod 52133
  • Max antal deltagare15
  • Blockschema
  • Sökbar för utbytesstudenterNej
  • Endast studenter med kurstillfället i programplan.

Poängfördelning

0117 Tentamen 4,5 hp
Betygsskala: TH		0 hp0 hp4,5 hp0 hp0 hp0 hp
  • 16 Mar 2020 fm L
  • 09 Jun 2020 fm L
  • 19 Aug 2020 em L
0217 Inlämningsuppgift 3 hp
Betygsskala: UG		0 hp0 hp3 hp0 hp0 hp0 hp

I program

Examinator

Gå till kurshemsidan (Öppnas i ny flik)

Behörighet

För kurser på grundnivå inom Chalmers utbildningsprogram gäller samma behörighetskrav som till de(t) program där kursen ingår i programplanen.

Syfte

The course introduces the students 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.

Lärandemål (efter fullgjord kurs ska studenten kunna)

Knowledge and understanding
  • explain the differences between data, information and knowledge,
  • explain the concepts related to software metrology and information visualization,such as measure, measuring system, dashboard and indicator,
  • explain basic concepts: relational data model, non-relational data model, entityrelationship model, relational database design, relational algebra and the databaselanguage SQL,
Skills and abilities
  • construct an algorithm for filtering and visualizing data based on a predefinedcriteria,
  • 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,
Judgement and approach
  • assess the quality of data and correctness of data models,
  • evaluate the applicability of data management techniques for a given purpose.

Innehåll

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, 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. The course also highlights the difference between SQL and
NoSQL and covers different data models such as XML, RDF, and JSON.

Organisation

The teaching consists of lectures, group work, exercises, as well as supervision in
connection to the exercises.

Litteratur

Course literature to be announced the latest 8 weeks prior to the start of the course.

Examination inklusive obligatoriska moment

Written exam and assignments.