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This upper-level writing course considers the strategies of argumentation emphasizing audience awareness, reflective thinking and strategic presentation. We will explore elements of argument such as enthymeme, the three appeals, claim types, and fallacies. Students will learn to evaluate a wide range of arguments (including their own), considering the rhetorical strategies that make for effective argumentative performance in a given situation. The course will involve regular practice in both written and oral argument. A note for students and advisors: when registering refer to WebStac for updated information on section times and available seats.

Introduction to the study of thought processing from an information-processing approach. Emphasis will be placed on theoretical models that are grounded in empirical support. Topics include pattern recognition, attention, memory, reasoning, language processes, decision making, and problem solving.

Learning, psychological, cognitive and social characteristics of exceptional children and youth from gifted to those with disabilities. Study child and adolescent developmental stages and the application to educational settings through data-based decision making using assessment and student data in a critical thinking, problem solving team approach. Current practices of educational strategies, interventions, and modifications to differentiate instruction for individual learning needs are emphasized. Plan lessons and activities that address student's prior experiences, multiple intelligences, strengths, and needs to positively impact learning. Learn specific strategies for classroom management, consultation and collaboration with families, colleagues, and administrators to meet individual needs within a culturally and demographically diverse classroom. Influences of legislation, criteria used to identify children, and awareness of supportive services are explored. Enrollment note: All students are enrolled onto the waitlist. Priority is given to Teacher/Deaf Education majors, prospective Teacher Education majors, and majors/minors in Educational Studies. Undergraduate students must enroll in Educ. 408 and graduate students must enroll in Educ. 6008.

Topics from discrete mathematics will be explored with an emphasis on problem-solving and methods of proofs. Modules on counting; combinatorial tools; binomial coefficients and Pascal's triangle; Fibonacci numbers; combinatorial probability; integers, divisors and primes; and graphs will be covered as well as additional topics as time permits. Addressed mainly to college freshmen and sophomores; it would also be suitable to advanced high school students with an interest in mathematics.

A limited enrollment class for students planning to take calculus but who need additional precalculus preparation. The course aims to build both the technical skills and the conceptual understanding needed to succeed in calculus. Course emphasizes links between the graphical, numeric, and algebraic viewpoints. A variety of approaches are used to present the material.

A study of structure-function relationships as applied to carbohydrates, proteins, and lipids; intermediary metabolism of principal cellular components; and general aspects of regulation. Students may not receive credit for both Biol 4801 and Biol 451.

Continuation of French 5000. For graduate students in the humanities, social and natural sciences. Credit for Frech 5000 is contingent on completion of French 5001.

A survey and analysis of concepts, theory, and research covering the areas of biological psychology, human development, learning, memory, social psychology, and mental disorders and their treatment. This is a general survey course designed to introduce students to the diversity of topics, research methods, and theories that comprise the study of mind and behavior. Open to first-year students and above. NOTE: For first-year students with AP/IB exemption, and first- and second-year students enrolled in Psych 100B who are interested in exploring a few areas of Psychology within a seminar format, see Psych 102, First-Year Opportunity: Contemporary Issues in Psychology.

An introductory course in linear algebra that focuses on Euclidean n-space, matrices and related computations. Topics include: systems of linear equations, row reduction, matrix operations, determinants, linear independence, dimension, rank, change of basis, diagonalization, eigenvalues, eigenvectors, orthogonality, symmetric matrices, least square approximation, quadratic forms. Introduction to abstract vector spaces.

This is the first part of a two-semester survey of organic chemistry. The course will include an introduction to organic structures, reactions, and reaction mechanisms. The laboratory will meet on alternate weeks and include an introduction to laboratory methods in organic chemistry, including separation and methods of purification of organic compounds.

A course covering certain areas of organic chemistry in more detail than the prerequisite course, with special emphasis on the mechanisms and the synthetic applications of organic reactions and on the organic chemistry of biological compounds. The laboratory will meet eight times and include organic synthesis and spectroscopic techniques. Required course for chemistry majors.

Laboratory experience is an integral component of Introductory Physics. It is designed to provide a hands-on opportunity to explore concepts introduced in the lecture course and to develop careful measurement and documentation skills. Students may not receive credit for Physics 191L if they have already received credit for 117A or 197

Laboratory experience is an integral component of Introductory Physics. It is designed to provide a hands-on opportunity to explore concepts introduced in the lecture course and to develop careful measurement and documentation skills. Students who have taken Physics 118 or Physics 198 may not receive credit for Physics 192L.

An introduction to biological molecules and biochemical strategies employed by the three domains of life. The flow of genetic information within cells is discussed in the context of cellular structure, organization, and function. Investigation and manipulation of genetic information by molecular genetic technologies, such as recombinant DNA, forms the final phase of the course. Labs reinforce concepts from lectures and explore common laboratory techniques and computer-based resources.

A broad overview of genetics, including Mendelian assortment, linkage, chromosomal aberrations, variations in chromosome number, mutation, developmental genetics, quantitative genetics, population genetics, mechanisms of evolution, and phylogenetics. Three lecture/problem solving sections and one laboratory period per week. Does not fulfill the laboratory requirement of the biology major. This course must be taken for a grade to count towards the Biology major.

Mathematical theory and application of probability at the advanced undergraduate level; a calculus based introduction to probability theory. Topics include the computational basics of probability theory, combinatorial methods, conditional probability including Bayes' theorem, random variables and distributions, expectations and moments, the classical distributions, and the central limit theorem.

What's involved in seeing and hearing? This course will cover perception from the physical stimuli (light and sound) that impinge upon the sensory receptors through the higher-level percepts that the stimuli generate. Demonstrations and illusions will be used as we learn about the anatomy and physiology of the sensory systems and study the brain mechanisms that are involved in vision and audition.

This course explores and analyzes contemporary American social problems and social issues using sociological tools. The sociological perspective provides the overarching framework for analyses of social issues, along with the application of sociological theory and research. Topics may include aging, substance use and abuse, crime, violence, poverty, discrimination, health care, family, globalization, and environmental degradation. This course will be valuable to students pursuing graduate work and careers in sociology, law, medicine and health care, and social services. The content may also prove useful for MCAT, LSAT, and GRE preparations.

This course starts with an introduction to R that will be used to study and explore various features of data sets and summarize important features using R graphical tools. It also aims to provide theoretical tools to understand randomness through elementary probability and probability laws governing random variables and their interactions. It integrates analytical and computational tools to investigate statistical distributional properties of complex functions of data. The course lays the foundation for statistical inference and covers important estimation techniques and their properties. It also provides an introduction to more complex statistical inference concepts involving testing of hypotheses and interval estimation. Required for students pursuing a major in Data Science. No prior knowledge of Statistics is required. NOTE: Math/SDS 3211 and Math/SDS 3200 can not both count towards any major or minor in the Statistics and Data Science Department.

This course is designed to help students successfully transition from high school AP chemistry to the college level. It provides a general introduction to topics that entering freshmen typically find among the most difficult to master in a first-semester general chemistry course, including the nature and structure of the atom, quantum chemistry, and the nature of bonding. Students gain familiarity with the way in which a rigorous college chemistry course is taught and receive a realistic exposure to the nature of quizzes and exams. Problem sets, selected readings, and group problem-solving strengthen skills and facilitate learning.