Application of financial models in the business environment. The use of computer-based spreadsheet and simulation packages in business analysis.

Required for majors. Emphasis on an oral and written interpretation of current journal articles in selected fields of biochemistry.

Required for majors. Emphasis on an oral and written interpretation of current journal articles in selected fields of biochemistry.

Required for majors. Emphasis on an oral and written interpretation of current journal articles in selected fields of biochemistry.

Structure and function of biological molecules, especially proteins, lipids and carbohydrates. Important concepts include bioenergetics, biological catalysis, and metabolic pathways as interacting regulated systems.

This course will examine Black women's use of natural world imagery, and we will explore the place of the natural world in Black women's writing and Black feminist thought. Some of the writers we will consider include Anne Spencer, Edwidge Danticat, Dionne Brand, Zora Neale Hurston, Gwendolyn Brooks, and Alice Walker.

Big Data brings us to interesting times and promises to revolutionize our society from business to government, from healthcare to academia. As we walk through this digitized age of exploded data, there is an increasing demand to develop unified toolkits for data processing and analysis. In this course our main goal is to rigorously study the mathematical foundation of big data processing, develop algorithms and learn how to analyze them.

Intelligent visual computing is an emerging new field that seeks to combine modern trends in machine learning, computer graphics, computer vision to intelligently process, analyze and synthesize 2D/3D visual data. The course will start by covering 2D image and 3D shape representations, classification and regression techniques, and the fundamentals of deep learning. The course will then provide an in-depth background on analysis and synthesis of images and shapes with deep learning, in particular neural networks and probabilistic graphical models.

Big Data brings us to interesting times and promises to revolutionize our society from business to government, from healthcare to academia. As we walk through this digitized age of exploded data, there is an increasing demand to develop unified toolkits for data processing and analysis. In this course our main goal is to rigorously study the mathematical foundation of big data processing, develop algorithms and learn how to analyze them.