Daniel Berleant
IFSC 3360 Systems Analysis and Design
IFSC 7310 Information Systems Analysis
IFSC 7386 (& 7186, 7286, 7486, 7586) Graduate Project
IFSC 4396/4398 Capstone Project
IFSC 2200 Ethics in the Profession
IFSC 3300 Internet Applications
IFSC 4301/TINV 5302 Information, Computing and the Future
TINV 5303/4303 Applied Innovation Project
(link 1, link 2)
TINV 4301/5301 Strategies for Innovation
IFSC/CPSC 1105 First Year Exp. for Comp. & Inf. Science Majors
BINF 4445/5445 Bioinformatics Theory and Applications
IFSC 7101 Research Methodology
IFSC 7102 Research Tools
IFSC 7103 Research Applications
IFSC 7321 Information Science and Theory
IFSC 7310 Information Systems Analysis
Upon request: Information Retrieval Tutorial
IFSC 3360 Systems Analysis and Design
IFSC 1305 Problem Solving Techniques IFSC
Java course
MAILING ADDRESS:
Department of Information Science
University of Arkansas at Little Rock
EIT Building, Room 562
2801 South University Avenue
Little Rock, Arkansas 72204
email: jdberleant@ualr.edu
phone: (501) 916-5226
Research Opportunities
If you are interested in any of the options below, please contact me.
- Moore's laws for lifetimes. We are investigating lifetimes as a measure of techological advancement, including but not limited to exponential
(i.e. Moore's law, in it more inclusive sense) rates of advancement. This crosscuts two fields, technology foresight and reliability.
In our work it also crosscuts a third field, the domain under investigation. We are currently working in two seemingly disparate domains,
spacecraft and cancer (especially kidney cancer) treatment.
Along with various other domains, these share properties of technological advancement over time, and survival time as a
relevant characteristic of
the levels of the technologies. You are welcome to attend our weekly group meetings.
- Machine learning. We meet weekly to discuss projects of the students involved, read articles together, etc. This is a joint activity with the
Milanova lab. You are welcome to attend meetings to learn more.
- Are you interested in science bibliometrics? Help develop a new improvement to the h-index,
a widely used but extraordinarily defective measure of scientific activity.
Qualifications are: (1) enjoy math (no advanced mathematics is involved but you should like the topic),
and (2) some programming skills (this is not a heavy software development project but will involve analyzing
content from certain web pages using JavaScript, Python, or whatever language you are most comfortable in).
Here is information on pubs, students,
and funding.