Project in Learning Systems (236757) - Winter
semester, 2017
Instructor:
Ran El-Yaniv
Prerequisite:
Any credited machine learning course offered at the Computer
Science
department. Possible
substitutes: machine
learning courses from the Electrical Engineering or Industrial Engineering
Departments.
Description:
In this course, the students will engage in mini-research projects
conducted in
small teams of 1 to 4 students. Under the guidance of the
instructor, and in
conjunction with the students' skills and interests, each team be
offered a
project by the instructor. Alternatively, the team can propose a
topic (that
will have to be approved by the instructor). Typically,
the project will be defined after a brainstorming meeting together
with the
instructor. The goal
of this course is to deepen the knowledge and understanding of
specific topics
in machine learning and increase students' proficiency in utilizing
machine
learning tools to solve interesting problems. The projects are
designed to
include small research components including writing a mini research
proposal,
conducting a brief literature review, designing and defining
benchmark tests
and writing a summary report. Each team
will conduct periodic meetings with the instructor. In these
meetings the team
will report on their progress and present the obstacles and problems
encountered. Guided by the instructor, the team will plan their next
steps and
short term goals. The course is offered to both undergraduate and
graduate
students.
Registration: Please don't try
to register on your own. This course is "manual registration"
(registration done by the instructor). The course is open to a
limited
number of students from all faculties who have the required machine
learning
prerequisite. Among the interested students we will select at most 8
teams
(each consisting of 1-3 students), based on course /work history and
grades
profiles. If you are
interested to apply, please email grade transcripts + CV to
rani@cs.technion.ac.il with subject line: "applying to 236757". If you have a team, please
bundle your
application for all team members together.
Send your application by email until October 7th. We will
notify potential
acceptance to everyone by October
14th and then schedule
individual
meetings with each selected teams during the weeks Oct 14th-October
26. You can apply even
if you are not completely sure about this course and then if your
team is
selected, you can finalize your decision about registration after
the first
meeting.
Important dates
Application ends: October 7th, 2017 (send
grade transcript +CV for all team members)
Team selection: October
14th, 2017 (notification by email)
First meetings with teams: First week of
the semester - Oct 21-25, 2017