Artesis Plantijn Hogeschool Antwerpen
Wetenschap en Techniek
campus Spoor Noord Ellermanstraat
Ellermanstraat 33 - 2060 Antwerpen
wt@ap.be
Data engineering35102/2199/2122/1/85
Study guide

Data engineering

35102/2199/2122/1/85
Academic year 2021-22
Is found in:
  • Bachelor of Applied Computer Science, programme stage 2
    Programme option:
    • Big Data
    • IT & Business
In other study programme:
  • Bachelor of Applied Computer Science as Intro BI
This is a single course unit.
Study load: 3 credits
It is not possible to enrol in this course unit under
  • exam contract (to obtain a credit).
  • exam contract (to obtain a degree).
Co-ordinator: Van Hansewijck Dries
Other teaching staff: Herman Bruno
Languages: Dutch
Scheduled for: Semester 2
This course unit is marked out of 20 (rounded to an integer).
Possible deadlines for learning account: 15.03.2022 ()
Re-sit exam: is possible.
Possibility of tolerance: This course unit is eligible for tolerance according to the criteria as determined by the degree programme you are enrolled in.
Total study time: 78,00 hours

Prerequisites

There are no prerequisites for this course.

Learning outcomes (list)

A.4. Product or Project Planning
Creates a professional project planning
A.5. Architecture Design
Designs a dashboard to summarize sales and other data based on a data warehouse and a problem statement.
A.6. Application Design
Identifies and recognizes the different data flows in an organization.
Designs a software application.
Implements a data warehouse
Knows basic principle surrrounding ETL (Extraction, Transformation and Load) processes
Designs a staging area and a data warehouse model based on a problem definition
D.10. Information and Knowledge Management
Formulates and explains business processes and identifies the data requirements associated with them.
E.1. Forecast Development
Outlines and describes market developments and trends.
Handles time series data in a proper way and makes simple predictions
E.5. Process Improvement
Recognizes and describes methods to measure important aspects of ICT systems (capacity, performance and efficiency) and to define indicators (KPIs).
Task analysis
Identifies and recognizes the different data flows in an organization.
Designs a software application.
Outlines and describes market developments and trends.
Designs an analysis document with functional and technical analysis based upon a definition of a problem.
Strategic action
Formulates and explains business processes and identifies the data requirements associated with them.
Identifies the risks that may be associated with mismanagement or use of data.
Identifies and recognizes the different data flows in an organization.
Oral communication
Communicates efficiently within the professional context (managing conflicts/ executing conversations/ presenting/ negotiating/ convincing/ reacting sensitively).
Designs a software application.
Written communication
Designs a software application.
Relationships
Works customer oriented and environmentally aware
Collaborates constructively to achieve collective results
Teamwork and leadership
Collaborates constructively to achieve collective results

Educational organisation (list)

Learning Activities
Collaborative learning24,00 hours
Lectures and / or tutorials12,00 hours
Work time outside of contact hours42,00 hours

Evaluation (list)

Evaluation(s) for first exam chance
MomentForm%Remark
Academic yearContinuous project assignment (Permanent evaluation)100,00
Evaluation(s) for re-sit exam
MomentForm%Remark
2nd examination periodProject assignment100,00