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HU Credits:
3
Degree/Cycle:
1st degree (Bachelor)
Responsible Department:
Life Sciences
Semester:
1st Semester
Teaching Languages:
Hebrew
Campus:
E. Safra
Course/Module Coordinator:
Liran Carmel
Coordinator Office Hours:
Teaching Staff:
Prof Liran Carmel,
Ms. Chen Leibson
Course/Module description:
We will study important statistical methods that are frequently encountered in analyses of biological data. Emphasis will be given to the mathematical foundations of the methods.
Course/Module aims:
Knowledge of statsitical tools required for analysis of biological data, for researchers with computational orientation.
Learning outcomes - On successful completion of this module, students should be able to:
Apply the appropriate statistical analyses required in their particular research.
Attendance requirements(%):
Teaching arrangement and method of instruction:
Lectures + forntal exercises + excercises
Course/Module Content:
1. Formal theory of hypothesis testing.
2. Estimators: point estimators, interval estimators, properties of estimators, basic estimators.
3. Data sampling, experimental design, analysis of variance.
4. ANOVA test, post-hoc tests.
5. Multiple comparisons: Bonferroni, FDR
6. Ranked statistics: U-test, Wilcoxon test and related tests.
7. Linear regression: one-dimensional regression, multiple regression, logistic regression.
8. Dimensionality reduction: PCA, t-SNE.
9. Analysis of contingency tables: hypergeometric test, Fischer exact test.
10. Randomization tests: Bootstrap, jackknife.
11. Markov models and its applications in Biology.
Required Reading:
none
Additional Reading Material:
Course/Module evaluation:
End of year written/oral examination 80 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 20 %
Reports 0 %
Research project 0 %
Quizzes 0 %
Other 0 %
Additional information:
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