|Evolution and Learning in
Computational & Robotic Agents
||Lecture TR 2:30-3:45 (Mendel
Lab W 1:30-4:20 (Mendel G92)
|Instructor||Dr. Tom Way
160A Mendel Science Center
|Office Hours||M 10:00-12:00
Other times via email, Skype or appointment
|Teaching Assistant||Hema Chandra <email@example.com>|
|Textbook||We will rely primarily on online resources and handouts.|
and follow the link for MSE 2400
Science of computers and
robots that learn and evolve in ways that mimic biological systems. This
course explores how software designers and artificial intelligence
researchers draw inspiration from biology and learning theory to design and
experiment with computer systems and robots that learn from sometimes
massive amounts of data and adapt to changes in their environment. It is
increasingly important to understand the capabilities and impact on
individuals and society of computer and robotic systems that can appear to
learn and evolve. Laboratory experimentation involves applying the
scientific method and data intensive analysis by using software tools,
developing computer code, and controlling robots. No prior programming
experience is required. This course fulfills one semester of the Natural
Science requirement of the Core Curriculum in the College of Liberal Arts
|Learning Objectives & Outcomes||
After taking this course, including lecture and lab components, the student
will be able to:
The course meetings will typically consist of lecture and discussion on
"lecture" meeting days and hands-on experimental laboratory assignments on "lab"
meeting days. However, because our laboratory is entirely contained within each
of our computers, it is possible that lab work will be done during some lecture
meeting time and vice versa.
All course materials, including lecture slides, lab assignments, assigned readings, internet-based resources and software, will be gathered on our course website. In particular, on the Schedule page of the course website, you will find links to most of these materials, while more general resources and materials will be found on the Resources page.
Note that, while the plan for this course has been structured as outlined here and in the Schedule, it should also be considered flexible within constraints of covering the necessary topics. In other words, as with any honest scientific endeavor, as we make discoveries our plans and directions may change.
||Grading will be based cumulative
learning activities, homework and lab assignments, participation, contribution to class,
ultimately your personal productivity as it relates to the work of the
and attendance in
particular will be vital!
10% Homework assignments
||No missed or late assignments,
exams or laboratory assignments without prior excuse. Each case will be handled separately
based on its own merits. Each student is responsible for what is covered and
assigned in any classes which they miss. Abuse of this policy will result in
a loss of leniency.
|Late Assignment Policy
||No assignments will be accepted
late without the direct consent of the instructor prior to the due date of
the assignment. Typical penalty is 10% off for each day an assignment is
late. Absolutely no assignments will be accepted beyond the date of the
|Academic Integrity||All students are expected to uphold Villanova’s
Academic Integrity Policy and Code. Any incident of academic dishonesty will
be reported to the Dean of the College of Liberal Arts and Sciences for
disciplinary action. For the College’s statement on Academic Integrity, you
should consult the Enchiridion. You may view the university’s Academic
Integrity Policy and Code, as well as other useful information related to
writing papers, at the Academic Integrity Gateway web site:
Please be cognizant of the difference between individual and group projects, and use good judgment in following the University's policy on Academic Integrity. Severe academic penalities will be imposed for violations of this policy, such as receiving at a minimum 0% credit for an assignment, or at the maximum a failing grade for the course, at the discretion of the instructor.
|Accommodations||Office of Disabilities and Learning Support
Students with disabilities who require reasonable academic accommodations should schedule an appointment to discuss specifics with me. It is the policy of Villanova to make reasonable academic accommodations for qualified individuals with disabilities. You must present verification and register with the Learning Support Office by contacting 610-519-5176 or at firstname.lastname@example.org or for physical access or temporary disabling conditions, please contact the Office of Disability Services at 610-519-4095 or email Stephen.email@example.com. Registration is needed in order to receive accommodations.
It is always recommended to seek out extra assistance and advice early rather than waiting, and friendly and qualified help is there for you.
Last updated: 04/03/2017