
Home
About
Directions
Admissions How To Apply
The LTI Brochure
Education
Ph.D.
M.S.
Undergrad Minor
Courses
FYI
LTI Forms
Seminars
LTI Seminar Series Joint Speech Seminar (JSS) Machine Translation (MT)
Student Research Symposium
Information Retrieval Series
Visitor Information
General
Maps & Directions
Hotel Links
Parking Information
Research
Projects
Reports
Dissertations
People
Faculty
Students
Upcoming Graduates
Staff
Visitors
Who to See for What
Contacts
|
Electives Recommended for LTI graduate students:
Human-Computer Interaction (HCI)
Courtesy of Alex Rudnicky:
One significant application of language technology is the creation of
interactive systems that communicate with human beings through
speech and language. Specialized techniques have been developed for
understanding the design and behavior of such systems.
This encompasses at least two types of skill:
- Students interested in a straight introduction to
HCI should consider the HCI intro course. The main value here
is understanding the concept of usability and how to systematically
work with it. Students would learn specific techniques as well as
(presumably) the insight that the user is key in interactive
technologies:
05-610
Introduction to Human-Computer Interaction This course covers
general approaches to the study of HCI, as well as specific
techniques. I (AIR)
believe only some of the material would be of direct interest to an
LTI person, but someone interested in the broader problem of creating
and understanding interactive technologies would find this course very
useful.
- Statistical Techniques and Research Methods.
What is meant by statistical methods here is very different from the
statistical techniques used in, e.g., 11-761 Language and Statistics. In this
case the focus is on experimental design and data analysis. This is a
skill that many in our area seem in general not well acquainted with,
yet is critical to the conduct of any scientific work.
The Statistics
Department seems to offer an excellent introductory sequence in
statistical methods for their "undergrad
minor" in stats. The 36-201 Statistical Reasoning/36-202 Intro to Statistical Methods
course sequence looks good; there is also
36-220 Engineering and Quality Control Statistics.
The Psychology Department offers
85-310 Research Methods in Cognitive Psychology
(which however has as pre-requisites Statistics 36-201/36-202, described above).
While this is probably somewhat specialist from an LTI perspective, it would
introduce people to more advanced techniques common in the social sciences.
The methods courses in Psych are currently undergoing reorganization; students
should get in touch with that department for details.
|
|
|