Advanced Practical Course Data Science for Computer Networks (Summer 2017): Difference between revisions

Advanced Practical Course Data Science for Computer Networks (Summer 2017) (view source)

1,175 bytes added , 3 March 2017

990

edits

@@ Line 20: / Line 20: @@
 *Knowledge of Python or R...
 *...and relevant libraries (e.g., SciKit Learn, Pandas, caret, etc.)
+==Schedule (Tentative)==
+* April 13:
+** Informational meeting
+** Release of warmup problem
+* April 20: Release of first project
+* April 27: Submission of warmup problem (5% of final grade) in single PDF by E-Mail to David
+** Submit as a PDF report
+** In the PDF describe your steps in exploratory data analysis and link your results to the predictive model you have built.
+** Also attach your Code
+** Overall, this submission also decides on whether or not you will be able to continue the course.
+* May 4th: Meeting to discuss properties of / problems with data set for first project
+* May 18th:
+**Presentation of first project results (20% of final grade)
+** Release of second project
+* June 8th: Meeting to discuss properties of / problems with data set for second project
+* June 22nd:
+** Presentation of second project results (15% of final grade)
+** Release of third project
+* July 13: Meeting to discuss properties of / problems with data set for third project
+* August 3: Presentation of third project results (40% of final grade)
+* September 30: Submission of final reports for projects 1-3 (20% of final grade)
+All meetings will be at 2.15pm in room IFI 3.101.