Graduate Courses in the Ph.D. Program

(Please be advised due to many variables courses are subject to change; courses may be removed or added on a yearly basis)

Proseminar (ISC 6937)

An introductory survey course of research in complex systems and brain sciences at Florida Atlantic University, aimed at first-semester graduate students.

Nonlinear Dynamic Systems (ISC 5453) 3 Credits

Introductions to nonlinear dynamical systems in an interdisciplinary setting. Topics covered include one- two- and three-dimensional ordinary differential equations, bifurcations, one- and two-dimensional maps, iterated function systems, time scale separation and self-organization and elementary stochastic systems.

Methods in Complex Systems (ISC 6450)

Experimental design and statistical analysis of linear and nonlinear systems. Presents the classical statistical analysis and inference of linear systems that have a small number of noninteracting pieces and how those statistical methods and analysis procedures are different for nonlinear complex systems with many pieces that interact strongly with each other, such as fractals and chaos.

Neuroscience I (PSB 6345)

This course is intended for Graduate Students and is the first of a two-part sequence (6 credits total) which covers in-depth the principles of neural science, including structure and function of cells in the nervous system, neurotransmitter systems, functional neuroanatomy, sensory processes, higher brain function, neural development and cellular mechanisms of learning and memory. Senior Undergraduates interested in taking this course should consult the instructors.

Neuroscience II (PSB 6346)

This course continues on from Neuroscience I with Functional Neuroanatomy. The Senses -- Vision, Hearing, Somatosensory, Smell, and Taste are covered in this course. The course concludes with lectures on Neural Development and the Cellular Mechanisms of Learning and Memory. If time permits, a few special topics such as Neuroimmunology and Neural Networks will be given by the instructor or guest lecturers. Neuroscience I is a pre-requisite for this course.

Cognitive Neuroscience (ISC 5465)

An interdisciplinary survey of the neural basis of cognitive functions such as perception, attention, memory, and language.

Computational Neuroscience (ISC 6460)

This course introduces the ideas and methods used to implement computational models and simulate brain activity and behavior based on biological principles of the brain.

Brainstem Mechanisms of Behavior (ISC 6440)

A discussion of aspects of brainstem anatomy and physiology pertinent to behavior. Classwork is supplemented by extensive lab work where students learn techniques such as electroencephalographic recording from freely moving animals, horseradish peroxidase (HRP) injection and staining and mounting of tissue for light microscopy.

Machine Perception and Cognitive Robotics (EXP 6930)

A survey of various tools and methods in machine perception.  Students will find data and neural networks to perform tasks with that data.  This will include coding in MATLAB, PYTHON, and the use of other technological tools such as Docker, and Jupyter Notebook.