Critical analysis of contending theories of international relations. Focus is on alternative theoretical assumptions, different analytical structures, and a core of concepts and content. Comparative analysis of realism(s), liberalism(s), institutionalism(s), and new emergent theories. Discussion of connections between theories of international relations and major changes in international relations.
This class introduces studies in the algorithmic manipulation of type as word, symbol, and form. Problems covered will include semantic filtering, inherently unstable letterforms, and spoken letters. The history and traditions of typography, and their entry into the digital age, will be studied. Weekly problem sets using Java will explore new ways of looking at and manipulating type.
This course is designed to provide the student with a simple and straightforward introduction to econometrics. Econometrics is a set of research tools employed in the business disciplines of accounting, finance, marketing, and management. It is also used by social scientists, specifically researchers in history, political science, and sociology, and it even plays an important role in such diverse fields as forestry and agricultural economics. Studying econometrics will help the student transition from being a student of economics to a practicing economist. By taking this course, the student will gain an overview of what econometrics is about and develop some 'intuition' about how things work. Upon successful completion of this course, students will be able to: Explain the fundamental probability concepts used in econometric analysis; Discuss the issues and pitfalls involved in testing theories; Demonstrate an understanding of the formulation of an empirical economic model; Perform data collection, interpretation, organization, and analysis for economics; Identify the desirable properties of estimators; Identify key classical assumptions in the field of Econometrics, explain their significance, and describe the effects that violations of the classical assumptions can have; Demonstrate an understanding of the basics of econometric analysis focusing on the least squares methodology for single explanatory and multiple explanatory variables; Extend to the regression 'family' to handle important special cases; Interpret key statistics and diagnostics typically generated by software. (Economics 203; See also: Mathematics 301)
CK-12's Geometry - Second Edition is a clear presentation of the essentials of geometry for the high school student. Topics include: Proofs, Triangles, Quadrilaterals, Similarity, Perimeter & Area, Volume, and Transformations.
This book is a "flexed" version of CK-12's Basic Geometry that aligns with College Access Geometry and contains embedded literacy supports. It covers the essentials of geometry for the high school student.
A structured geometry program teacher edition of daily lesson plans and teacher supports to accompany the College Access Reader: Geometry student edition.
CK-12 Foundation's Geometry FlexBook is a clear presentation of the essentials of geometry for the high school student. Topics include: Proof, Congruent Triangles, Quadrilaterals, Similarity, Perimeter & Area, Volume, and Transformations.
CK-12 Geometry Teacher's Edition covers tips, common errors, enrichment, differentiated instruction and problem solving for teaching CK-12 Geometry Student Edition. The solution and assessment guides are available upon request.
CK-12 Foundation's Geometry FlexBook is a clear presentation of the essentials of geometry for the high school student. Topics include: Proof, Congruent Triangles, Quadrilaterals, Similarity, Perimeter & Area, Volume, and Transformations.
Offers an overview of the social, cultural, political, and economic impact of mediated communication on modern culture. Combines critical discussions with hands-on "experiments" working with different media. Media covered include radio, television, film, the printed word, and digital technologies. Topics include the nature and function of media, core media institutions, and media in transition.
The student will focus on becoming literate in the art of the Italian Renaissance, on identifying the effects that the Renaissance had on the arts of Italy, and discovering the ways in which specific historical developments impacted those arts from the end of the thirteenth century to the end of the sixteenth century. The Renaissance, a European phenomenon that began to develop in the late thirteenth century, refers to a marked shift in the ways in which individuals perceived their world. A new outlook was emerging that was characterized by, among other things, increased humanism and a renewed interest in the cultures of Classical Antiquity (and all within a Christian framework). There is no specific date that marks the beginning of the Renaissance, but its burgeoning effects on art can be detected earlier in Italy than in other areas. Upon successful completion of this course, the student will be able to: Define the term Renaissance and identify its modes of expression in the art of Italy; Place the major artistic developments of Italian Renaissance art along a timeline and characterize the art of different periods within the Renaissance; Situate different artists, artworks, and artistic practices within their respective regions or cities; Explain how specific historical contexts, events, and figures affected Italian Renaissance art; Describe specificities in interests and style as they apply to the work of important artists of the Renaissance; Recognize important artworks and describe them in terms of their form, content, and general history of their creation; Explain the role of art and artists during the Renaissance in Italy; Discuss specific artistic techniques used during the Renaissance in Italy. (Art History 206)
Linear Algebra is both rich in theory and full of interesting applications; in this course the student will try to balance both. This course includes a review of topics learned in Linear Algebra I. Upon successful completion of this course, the student will be able to: Solve systems of linear equations; Define the abstract notions of vector space and inner product space; State examples of vector spaces; Diagonalize a matrix; Formulate what a system of linear equations is in terms of matrices; Give an example of a space that has the Archimedian property; Use the Euclidean algorithm to find the greatest common divisor; Understand polar form and geometric interpretation of the complex numbers; Explain what the fundamental theorem of algebra states; Determine when two matrices are row equivalent; State the Fredholm alternative; Identify matrices that are in row reduced echelon form; Find a LU factorization for a given matrix; Find a PLU factorization for a given matrix; Find a QR factorization for a given matrix; Use the simplex algorithm; Compute eigenvalues and eigenvectors; State Shur's Theorem; Define normal matrices; Explain the composition and the inversion of permutations; Define and compute the determinant; Explain when eigenvalues exist for a given operator; Normal form of a nilpotent operator; Understand the idea of Jordan blocks, Jordan matrices, and the Jordan form of a matrix; Define quadratic forms; State the second derivative test; Define eigenvectors and eigenvalues; Define a vector space and state its properties; State the notions of linear span, linear independence, and the basis of a vector space; Understand the ideas of linear independence, spanning set, basis, and dimension; Define a linear transformation; State the properties of linear transformations; Define the characteristic polynomial of a matrix; Define a Markov matrix; State what it means to have the property of being a stochastic matrix; Define a normed vector space; Apply the Cauchy Schwarz inequality; State the Riesz representation theorem; State what it means for a nxn matrix to be diagonalizable; Define Hermitian operators; Define a Hilbert space; Prove the Cayley Hamilton theorem; Define the adjoint of an operator; Define normal operators; State the spectral theorem; Understand how to find the singular-value decomposition of an operator; Define the notion of length for abstract vectors in abstract vector spaces; Define orthogonal vectors; Define orthogonal and orthonormal subsets of R^n; Use the Gram-Schmidt process; Find the eigenvalues and the eigenvectors of a given matrix numerically; Provide an explicit description of the Power Method. (Mathematics 212)
Presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples. Topics include discrete and continuous probability models; expectation and variance; central limit theorem; inference, including hypothesis testing and confidence for means, proportions, and counts; maximum likelihood estimation; sample size determinations; elementary non-parametric methods; graphical displays; and data transformations.
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