Download UVM CERTIFICATE of GRADUATE STUDY in COMPLEX SYSTEMS

UVM CERTIFICATE of GRADUATE STUDY in COMPLEX SYSTEMS
The Certificate Requirements are 5 courses (15 credits), with a minimum GPA of 3.0 in these 5 courses.
Students must complete the 2 required core courses, at least 1 elective from the A-list, and 2 more electives
from the A-list or the B-list, shown below. Courses used to satisfy Certificate requirements may also be used
to satisfy requirements for another UVM Graduate degree, where appropriate. Unfortunately, courses taken as
an undergraduate may not be applied to the Certificate.
Minimum Prerequisite courses: Calculus, statistics, and computer programming (in any language, but prior
Matlab is helpful) are the minimum prerequisites. Linear algebra is recommended but not required. Specific
electives may have additional prerequisites.
If you are enrolled in, or have already taken, any of the following courses and are potentially interested in
the Certificate you should apply now since at most 3 courses taken (at UVM or elsewhere) prior to the
semester in which you are accepted into the Certificate are allowed towards the Certificate. Application is free
for UVM Graduate Students.
Required Core (2 courses):
CSYS/MATH 300 (Principles of Complex Systems)
CSYS/CS 302 (Modeling Complex Systems)
A-List (select 1-3 courses):
CSYS/MATH 266 (Chaos, Fractals, and Dyn. Sys)
CSYS/MATH 303 (Complex Networks)
CSYS/BIOL/CS 352 (Evolutionary Computation)
CSYS/STAT/CS 256 (Neural Computation)
CSYS/STAT/CS 355 (Statistical Pattern Recognition)
CSYS/STAT 253 (Appl Time Series & Forecasting)
CSYS/STAT/CE 369 (Applied Geostatistics)
CSYS/CE 359 (Applied Artificial Neural Networks)
CSYS/MATH 221 (Deterministic Modls Oper Rsch)
CSYS/MATH 268 (Mathematical Biology & Ecology)
MATH 330 (Adv. Ordinary Differential Equations)
CSYS/CS 251 (Artificial Intelligence)
CSYS/CE 245 (Intelligent Transportation Sys)
CSYS/CE 226 (Civil Engr Systems Analysis)
CSYS/CE 295 (Reliability of Engineering Systems)
EE/STAT 270 (Stochastic Processes)
CSYS/ME 295 (Systems and Synthetic Biology)
CSYS/ME 312 (Advanced Bioengineering Systems)
CSYS/ME 350 (Multi-Scale Modeling)
CSYS/EE 395 (Optimization in Engineering)
PA 308 (Decision Making Models)
PA 317 (Systems Analysis and Strategic Management)
PA 306 (Policy Systems)
BIOL 271 (Evolution)
CSYS/PBIO 295 (Ecological & Environmental Modeling)
PHYS 265 (Thermal Physics)
CS 206 (Evolutionary Robotics)
STAT 330 (Bayesian Statistics)
ENVS 295 (Envir. Modeling and Systems Thinking)
B-List (select 0-2 courses)
(other special topics may apply)