INTRODUCTION TO COMPUTER SCIENCE AND STATISTICS
ABILITA' INFORMATICHE E STATISTICHE
| A.Y. | Credits |
|---|---|
| 2015/2016 | 2 |
| Lecturer | Office hours for students | |
|---|---|---|
| Cinzia Franceschini |
Assigned to the Degree Course
| Date | Time | Classroom / Location |
|---|
Learning Objectives
The course aims at teaching basic tools of computer science and of statistics which may be useful for analyzing biological data.
Program
Graphics: Frequencies, Bar graphs, Histograms, Pareto chart, Scatterplot, Box Plot;
Measures of location: Mean, Median, Mode, Midrange;
Measures of scatter: Standard deviation, Variance, Range, Mean absolute deviation from the median;
Shape measures: Kurtosis, Asymmetry;
Bivariate analysis: Contingency table, Measures of association, Measures of concordance, Linear interpolation;
Random numbers generation;
Binomial distribution;
Normal distribution.
Teaching Material
The teaching material prepared by the lecturer in addition to recommended textbooks (such as for instance slides, lecture notes, exercises, bibliography) and communications from the lecturer specific to the course can be found inside the Moodle platform › blended.uniurb.it
Teaching, Attendance, Course Books and Assessment
- Teaching
Traditional classes and cases studies.
- Attendance
To attend 2/3 of the cases studies.
Notes
The student can request to sit the final exam in English with an alternative bibliography.
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