Просмотр исходного текста страницы Data Analysis in Journalism and Political Science 2020-2021

==Materials==

Presentations and all materials will be available immediately after each practice class. Additional materials will be used in quizzes at each next seminar.

{| class="wikitable"
|-
 ! Week !! Topic !! Slides !! Tutorial !! Additional Materials !! Assignment !! Deadline 
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| style="background:#eaecf0;" | '''1''' || Introduction ||  ||  ||  || || 
|-
| style="background:#eaecf0;" | '''2''' ||  ||  ||  ||  || ||
|-
| style="background:#eaecf0;" | '''3''' || ||  ||  ||  || ||
|-
| style="background:#eaecf0;" | '''4''' || ||  ||  ||  || || 
|-
| style="background:#eaecf0;" | '''5''' || ||  ||  ||  || ||
|-
| style="background:#eaecf0;" | '''6''' || ||  ||  ||  || ||
|-
| style="background:#eaecf0;" | '''7''' || ||  ||  ||  || ||
|-
|}

==Assignments==

The course consists of two home assignments, each of them performed individually. Each task is checked for plagiarism. 
Matching more than 25% of the code will be considered plagiarism and will result in 1 point out of 10 with the right to appeal. 
If the code matches more than 40%, the job will be canceled (0 points) without the right to appeal.
After the deadline for each assignment, during the next week, each student will be offered a convenient time for her/him for participating in a conference in Zoom with a lecturer and TA to answer questions on code and explanations of solutions.