Academic year
2017-18
Is found in:
- International Curriculum, programme stage 2
In other study programme:
-
Bachelor of Applied Computer Science as Research Techniques
-
Bachelor of Applied Information Technology as Research Techniques
-
Bachelor of Applied Information Technology as Research Techniques
-
Bachelor of Applied Information Technology as Research Techniques
This is a single course unit.
Study load:
4 credits
Weight:
4,00
Total study time: 100,00 hours
Possible deadlines for learning account: 15.03.2018 ()
Organisation of education
This course unit is marked out of 20 (rounded to an integer).
Re-sit exam: is possible.
It is not possible to enrol in this course unit under
- exam contract (to obtain a credit).
- exam contract (to obtain a degree).
Special admission is required to enrol in this course unit under credit contract.
Co-ordinator: De Bruyn Wim
Language course: No
Languages: English
Scheduled for: Semester 2
Objectives
Is able to name and explain concepts, formulas, theorems and their elaboration from descriptive and inductive statistics.
Is able to correctly apply formulas and theorems from descriptive and inductive statistics to research questions.
Is able to analyse data using statistical software.
Is able to write a structured scientific document including references using LaTeX.
Is able to compare the scientific method with non-scientific methods and is able to name advantages and disadvantages.
Contents
Tables, graphs, measures, indexes (?), probabilities, random variables,
density functions, samples, statistical model building, estimates,
sample size and confidence, hypothesis testing, time series (trends),
regression, correlations
Conducting statistical analyses using Excel and R
Scientific writing, working with LaTeX
Research methods
Order of enrolment
There are no prerequisites for this course.
Prerequisites
The arrangements regarding prerequisites applied for this course unit are in the Faculty’s educational and examination regulations (FOER).
Final objectives
The student is able to critically and in a methodologically correct way investigate, evaluate and (re)design or optimize existing and innovative (IT-)solutions |
Final objectives
Partial competence 1: can translate a survey to a file for statistical analysis
Indicators :
- Can translate a list of questions to a codebook
Partial competence 2: can analyse and present primary data in a methodological way
Indicators :
- Acquired basic knowledge of descriptive statistics: tables, graphs, measures, index, probabilities, stochastic variables, probability distributions, sampling, statistical modeling, estimation, length of sample, confidence, hypothesis tests, time series, regression and correlation
- Can analyse surveys and experimental data with statistical software
- Can perform a statistical analysis of data base files
- Can produce a referenced scientific document in a structured way
- Can apply the scientific method and explain its importance
Teaching methods
Learning dialogue
Exercises
Assignment
Organisation of education
A: 12 (lectures)
B: 12 (exercise sessions)
C: 0
D: 51 (independent learning)
Study guidance
Individual learning problems can always be reported to the lecturer and will be remedied.
Evaluation
Evaluation(s) for first exam chance
Moment | Form | % | Remark |
Non-periodic | Assignment: paper | 30,00 | |
Periodic | Written examination with a combination of open-ended and/or closed-ended questions | 70,00 | |
Evaluation(s) for re-sit exam
Moment | Form | % | Remark |
Periodic | Assignment: paper | 30,00 | Er wordt geen tweede examenkans georganiseerd. Wanneer een student in de eerste examenkans niet geslaagd was voor de opdracht blijft de beoordeling voor deze evaluatievorm of de afwezigheid voor deze evaluatievorm geldig voor de tweede examenkans. |
Periodic | Written examination with a combination of open-ended and/or closed-ended questions | 70,00 | |
Evaluation
First exam session:
- non-period bound evaluation: 30%
- period bound evaluation: written examination 70%
Second exam session: