M1 IDD at Dauphine
Syllabus
Prerequisites
This course will assume some familiarity with programming in python and algorithmics
Materials
All materials can be found on the front page.
Moodle will be used to collect and grade assignments.
Labs
There will be weekly labs whose result needs to be posted to Moodle.
In addition, there will a course project broken into two parts:
- Mid term project
- final project
Slides
We will post slides on the front page after each lecture.
Collaboration
All homeworks should be done individually.
For the project, you may work in groups of up to three people. Each group will make a live presentation
Late Policy
All assignments must be turned in via Moodle on time. We will allow a total of five late days cumulatively. We will not make any additional allowances for late assignments: the late days are intended to provide for exceptional circumstances, and students should avoid using them unless absolutely necessary. Any assignments that are submitted late (with insufficient late days remaining) will not be graded.
Late days may not be used for quizzes, final project proposals, final project milestone reports, final project reports, or any of the project peer review reports, only for the five homeworks.
Late days may not be used for quizzes, final project proposals, final project milestone reports, final project reports, or any of the project peer review reports, only for the five homeworks.
Grading
- Labs: 5%
- Project: 30%
- Final Exam: 70%