An introduction to engineering computation using MATLAB language and Excel. Basic programming skills using built-in functions is emphasized. Generation and manipulation of vectors and matrices, operations on vectors/matrices, plotting, iterations calculations. If/else and other logical constructs, and data input/output are covered. Engineering applications are used throughout the course.

Prerequisites: MA 106 [Min Grade: C] or MA 107 [Min Grade: C] or MA 125 [Min Grade: C] (Can be taken Concurrently)

Introduction to computational techniques used in biomedical engineering.

Prerequisites: (BME 150 [Min Grade: C] or EGR 150 [Min Grade: C]) and (EGR 265 [Min Grade: C] or MA 227 [Min Grade: C] and MA 252 [Min Grade: C]) and MA 260 [Min Grade: C] (Can be taken Concurrently)

Introduction to the cellular and molecular biology, biochemistry, biophysics, genetics and function of the mammalian nervous system. This course will emphasize the development, anatomy, cellular and molecular biology and biochemistry of neurons and glial cells, and introduce electrical, biophysical and chemical signaling within and across neurons.

Introduction to the cellular and molecular biology, biochemistry, biophysics, genetics and function of the mammalian nervous system. This course will emphasize mechanisms of synaptic transmission, sensory systems, neuropharmacology, and synaptic plasticity; and introduce the molecular basis of diseases and disorders of the central and peripheral nervous systems.

Prerequisites: NBL 355 [Min Grade: C]

This course examines the computational principles used by the nervous system. Topics include: biophysics of axon and synapse, sensory coding (with an emphasis on vision and audition), planning and decision-making, and synthesis of motor responses. There will be an emphasis on systems approach throughout. Homework includes simulations.

Prerequisites: BME 312 [Min Grade: C]

NBL 425: Methods in Neuroimaging (3 hours)

Cognitive neuroscience research has provided valuable insights into the workings of the human brain. The techniques used in cognitive neuroscience span from postmortem brain studies to neuroimaging studies. The ability to perform neuroimaging studies on awake human individuals engaged in cognitive, social, sensory, and motor tasks has produced a conceptual revolution in the study of human cognition. This course will comprehensively examine the methods and techniques in neuroimaging with the primary goal of building basic knowledge in the concepts and techniques of neuroimaging. The course will explore techniques, such as single and multi-cell recordings, deep brain stimulation, electroencephalography, magnetoencephalography, functional magnetic resonance imaging, and diffusion tensor imaging. This course will be an apt venue for graduate students interested in neuroscience research to build a platform for continuing studies.

NBL 454: The Body Electric: Electronics for Biologists (3 hours)

Some of the most important aspects of biological systems involve electrical phenomena. From the operation of the nervous system, to the control of cardiac or gut motility, the response of bone to stress, and even the most basic membrane physiology of every cell, the body is electric. Additionally, electronic instrumentation and analysis techniques are a major part of biological research. And yet, the typical biology student has very little background in these topics. Formal engineering courses have too many pre-requisites, and require more mathematical sophistication than is truly needed for most biologists. This course is designed to try and fill this gap.