| Language of instruction : English |
| Exam contract: not possible |
|
Sequentiality
|
| |
|
Mandatory sequentiality bound on the level of programme components
|
| |
| |
| |
Following programme components must have been included in your study programme in a previous education period
|
| |
|
Concepts of Bioinformatics (3566)
|
4.0 stptn |
| |
|
Concepts of Probability and Statistics (1798)
|
5.0 stptn |
| |
|
Linear Models (3560)
|
5.0 stptn |
| |
|
| Degree programme | | Study hours | Credits | P1 SBU | P1 SP | 2nd Chance Exam1 | Tolerance2 | Final grade3 | |
 | 2nd year Master Bioinformatics | Compulsory | 81 | 3,0 | 81 | 3,0 | Yes | No | Numerical |  |
| 2nd year Master Bioinformatics - icp | Compulsory | 81 | 3,0 | 81 | 3,0 | Yes | No | Numerical | |
|
| | | Learning outcomes |
- EC
| The student is capable of acquiring new knowledge. | - EC
| The student can work in a multidisciplinary, intercultural, and international team. | - EC
| The student is an effective written and oral communicator, both within their own field as well as across disciplines. | | | - DC
| The student is an effective writer in their own field. | - EC
| The student is able to correctly use the theory, either methodologically or in an application context or both, thus contributing to scientific research within the field of statistical science, data science, or within the field of application. |
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
Microarray technology, High dimensional omics datasets, Data processing, Asymptotic versus resampeling based inference, Statistical analysis of high dimensional data, group comparisons, Multiplicity, Exploratory versus Supervise analysis, Class prediction and Classification, Statistical modeling of microarray data, linear mixed models and their use in the high dimensional data setting.
|
|
|
Period 1 Credits 3,00
| Evaluation method | |
|
| Oral exam | 50 % |
|
|
|
| Other | Questions about the content/materials of the final project |
|
|
|
|
|
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
|
|
| Compulsory course material |
|
|
| Recommended reading |
| |
Exploration and Analysis of DNA Microarray and Protein Array Data,Dhammika Amaratunga; Javier Cabrera and Ziv Shkedy,Wiley,9780471273981,Available as e-book: https://ebookcentral.proquest.com/lib/ubhasselt/detail.action?docID=1602916&pq-origsite=summon |
|
|
|
|
|
| 2nd year Master Biostatistics | Optional | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical | |
| 2nd year Master Quantitative Epidemiology | Optional | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical | |
| Exchange Programme Statistics | Optional | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical | |
|
| | | Learning outcomes |
- EC
| The student is capable of acquiring new knowledge. | - EC
| The student can critically appraise methodology and challenge proposals for and reported results of data analysis. | - EC
| The student can work in a multidisciplinary, intercultural, and international team. | - EC
| The student is an effective written and oral communicator, both within their own field as well as across disciplines. | - EC
| The student can put research and consulting aspects of one or more statistical fields into practice. | - EC
| The student is able to correctly use the theory, either methodologically or in an application context or both, thus contributing to scientific research within the field of statistical science, data science, or within the field of application. |
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
Microarray technology, High dimensional omics datasets, Data processing, Asymptotic versus resampeling based inference, Statistical analysis of high dimensional data, group comparisons, Multiplicity, Exploratory versus Supervise analysis, Class prediction and Classification, Statistical modeling of microarray data, linear mixed models and their use in the high dimensional data setting.
|
|
|
Period 1 Credits 3,00
| Evaluation method | |
|
| Oral exam | 50 % |
|
|
|
| Other | Questions about the content/materials of the final project |
|
|
|
|
|
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
|
|
| Compulsory course material |
|
|
| Recommended reading |
| |
Exploration and Analysis of DNA Microarray and Protein Array Data,Dhammika Amaratunga; Javier Cabrera and Ziv Shkedy,Wiley,9780471273981,Available as e-book: https://ebookcentral.proquest.com/lib/ubhasselt/detail.action?docID=1602916&pq-origsite=summon |
|
|
|
|
|
1 Education, Examination and Legal Position Regulations art.12.2, section 2. |
| 2 Education, Examination and Legal Position Regulations art.16.9, section 2. |
3 Education, Examination and Legal Position Regulations art.15.1, section 3.
|
| Legend |
| SBU : course load | SP : ECTS | N : Dutch | E : English |
|