Neuroscience - Fall 2013
BIOLOGY 325 - Human Anatomy and Physiology I
Prerequisites: Biology 170 and 180 and one upper-level biology course
Students will learn about the major systems of the human body in both lecture and laboratory. Topics to be discussed include the musculoskeletal, nervous, endocrine, and reproductive systems. Disease states will also be discussed. Laboratories will focus on the anatomy and physiology of each system as they are discussed in the lecture portion of the course. Laboratories will include dissection. Assessment will include 3 written examinations, lab practical examinations, and a final examination. Offered every year.
CHEM 271 - Principles of Biochemistry
Pre-requisites: Chemistry 201 and Biology 170 or permission of instructor.
A survey of biochemistry is provided in this lecture-based course. Topics to be covered include the structure and function of biological macromolecules (proteins, lipids, carbohydrates and nucleic acids), a brief introduction to enzyme kinetics and mechanisms, biochemical thermodynamics, and a survey of metabolic pathways. There is no laboratory with this course.
COMP 260 - Computational Models and Methods
Prerequisites: MATH 131 or both MATH 201 and 202
Introduction to the principles and approaches of using computational science through the use of problem solving methodologies. This includes the understanding, development, and use of mathematical models, as well as their effective computer implementation. Approximately fifteen approaches across eight categories (continuous and discrete, static and dynamic, empirical and formulated) will be investigated. These models are adapted from a variety of scientific and real-world scenarios. Simulation and optimization techniques will also be discussed and used. Each student will undertake a realistic modeling project as part of the course. Laboratory required. This course is cross-listed as MATH 260. Students may enroll in either COMP 260 or MATH 260, but not both. Mathematical-reasoning intensive.
MATH 205 - Applied Matrix Algebra
Prerequisites: MATH 201
A course in matrix algebra and discrete mathematical modeling which considers the formulation of mathematical models, together with analysis of the models and interpretation of the results. Primary emphasis is on those modeling techniques which utilize matrix methods. Such methods are now in wide use in areas such as economic input‑output models, population growth models, Markov chains, linear programming, computer graphics, regression, numerical approximation, and linear codes.
Students in this course are required to have a TI-83, TI-84, or TI-86 calculator for use in class, for homework, and for tests. A TI-89, TI-92, or Voyage 200 is also acceptable. The final grade in the course is based on quizzes, tests, and a comprehensive final exam.
This course is a prerequisite for MATH 360 (Linear Algebra), and should be taken by all sophomore mathematics majors. Mathematical-reasoning intensive.
PSYC 207 - Experimental Design
Prerequisite: Psychology 107 or another statistics course.
This laboratory course gives you hands-on experience with the basic principles of research in psychology: the logic and methodologies of collecting data in a scientific manner, and the concepts and techniques of applying statistics to collected data in order to draw conclusions. We will cover a variety of methodologies, emphasizing how you can use each of them yourself. As part of this course, you will design and implement a number of studies that involve collecting, analyzing, and interpreting original data, as well as reporting your findings. Each study will illustrate a different type of analytic tool or procedure, but the specific questions to be addressed in these studies will be determined by you.
PSYC 311 - Behavioral Neuroscience
Prerequisites: Psychology 107 or another statistics course and Psychology 110.
This course provides the student with a solid background in the biological basis of behavior. Topics covered in lectures include the study of neurons, gross and fine neuroanatomy, neurophysiology, sensory systems, and the physiological basis of motivation (thirst, hunger, sex, and sleep), emotions, learning, memory, brain damage, and psychopathology. Final grade is based on four tests, in different formats, a final exam, and laboratory reports on weekly 3-hour laboratory sessions.