| Language of instruction : English |
| Exam contract: not possible |
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Sequentiality
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Mandatory sequentiality bound on the level of programme components
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For following programme components you must have acquired a credit certificate, exemption, already tolerated unsatisfactory grade or selected tolerable unsatisfactory grade.
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Concepts of Probability and Statistics DL (3220)
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5,0 stptn |
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| Degree programme | | Study hours | Credits | P1 SBU | P1 SP | 2nd Chance Exam1 | Tolerance2 | Final grade3 | |
 | second year Master Bioinformatics - distance learning | Compulsory | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical |  |
| second year Master Biostatistics - distance learning | Compulsory | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical | |
| second year Data Science - distance learning | Compulsory | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical | |
| second year Quantitative Epidemiology - distance learning | Compulsory | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical | |
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| | | Learning outcomes |
- EC
| The student is capable of acquiring new knowledge. | - 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. | | | - DC
| The student is able to correctly use the theory methodologically, thus contributing to scientific research within the field of statistical and data science.
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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This course deals with the theoretical basis of parametric statistical inference. Key concepts of estimation, confidence regions and hypothesis testing are introduced and applied to several parametric statistical models.
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Distance learning ✔
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Response lecture ✔
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Period 1 Credits 3,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 20 % |
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| Transfer of partial marks within the academic year | ✔ |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Prerequisites |
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Basic concepts in probability theory and statistics: random variable, continous/discrete distributions, expectation, variance, multivariate/marginal distribution, independence of random variables, conditional probability/density, central limit theorem, mutlivariate normal distribution. |
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| Previously purchased compulsory textbooks |
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Mathematical Statistics and Data Analysis,John Rice,Brooks/Cole,9780495118688 |
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| Recommended reading |
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- Statistical Inference,G. Casella; R.L. Berger,second,Brooks/Cole Cengage Learning,9780534243128
- An introduction to mathematical statistics,Bijma, Jonker and Van Der Vaart,Amsterdam University Press,Available as e-book: https://ebookcentral-proquest-com.bib-proxy.uhasselt.be/lib/ubhasselt/detail.action?docID=5046611&pq-origsite=summon
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1 examination regulations art.1.3, section 4. |
| 2 examination regulations art.4.7, section 2. |
3 examination regulations art.2.2, section 3.
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| Legend |
| SBU : course load | SP : ECTS | N : Dutch | E : English |
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