Assignments

Assignments will be published as Jupyter notebooks. Students will accomplish specific tasks by writing Python code in these notebooks, in a manner similar to the course notebooks. Assignment submissions will include the completed Jupyter notebooks.

Solutions will be published on the Calendar page as soon as possible.

Grades

• The final assignments grade will be the average of the 5 best grades out of the 7 assignments: assignments_grade = sum(sorted(grades)[2:]) / 5.
• Assignment #0 will not be graded.
• The final assignments grade will determine 20% of the course grade: final_grade = int(0.2 * assignments_grade + 0.8 * project_grade).
• Specifically, you can submit only 5 assignments and still get the maximum 20 points.
• To appeal assignment grades, please write a detailed printed appeal and submit it to the course instructor during office hours. Appeals will not be accepted via forum or email.

Deadlines

The assignments are due Saturdays at 23:59. The due dates for all assignments are on the Calendar page.

Late Policy:

• All students have 4 free "late days" for the semester.
• Submissions are timestamped by their calendar date in Israel; for a deadline on Saturday, a submission on Sunday at 00:20 (or even 00:02) counts for a full "late day".
• You may not submit assignments after exausting these "late days".
• Assignments may not be submitted more than 2 days late.
• Exceptions per IDC policy: reserve duty, pregnancy, illness, etc. See official IDC rules.
• You may not use "late days" for the final project.

Submission instructions

• Assignments should be submitted on Moodle.
• Your name should not be included in the notebook or in the filename.
• Your submission should be named AX.ipynb, where X is replaced with the assignment number, e.g. A3.ipynb for assignment #3.
• Please submit each assignment in its dedicated submission page.
• Unless otherwise mentioned, please submit a single notebook file (.ipynb) containing all your figures (i.e. use %matplotlib inline).
• Do not email your assignments.

Collaboration Policy

• We expect students to understand and complete their own assignments and to submit one assignment per student.
• You may discuss the assignment with other students.
• You may not share assignment code with other students.
• You may not write assignment code together with other students.