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Course Descriptions

Neuroscience Course Listings - Fall 2012


BIOLOGY 325 - Human Anatomy and Physiology I
(5 semester hours)
Pederson, Cathy

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
(4 semester hours)
Anderson, Amil

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.   

MATH 205 - Applied Matrix Algebra
(4 semester hours)
Stickney, Alan

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
(5 semester hours)
Crane, Lauren

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 321 - Learning, Memory, and Cognition
(5 semester hours)
Anes, Michael

Prerequisites: Psychology 120 and Psychology 207
This is a course in which we study major operations of the human mind; perceiving, remembering, acting, and thinking. Specific areas of coverage include attention, visual search and object recognition, visual memory, general memory mechanisms (working and long-term), language, imagery, reasoning, and judgment. We will discuss learning and memory in other species as well, and attempt to draw parallels that inform our understanding of human cognition. Specific proposals about how the mind accomplishes particular tasks (models) have been advanced in the short, 50-year history of modern cognitive psychology. We will see how these models have been tested, in part by participating in replications of classic cognitive psychology experiments. Data, including the data we generate ourselves, will be discussed in detail. We will write APA-style papers describing the nature of these tasks, the methods used, and the results obtained in the tasks. Finally, we will plan and execute group experiments.

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