Sherri A Brown

Submitted by admin on
Primary Title:  
SSW Research Affiliate
Institution:  
Smith College
Department:  
School for Social Work
Email Address:  
sabrown@smith.edu

Shabez Jamal

Submitted by admin on
Primary Title:  
Harnish Visiting Artist and Lecturer in Photography.
Institution:  
Smith College
Department:  
Art
Email Address:  
dbradfield@smith.edu

Sport Analytics

Students will use analytics to study a wide variety of issues affecting the sport industry. Topics examined include: player performance measurement, in-game decision making, player selection/team building, and general administration such as marketing, pricing, contracts, stadium management, etc. Students will learn not only how the recent application of analytics has improved each of these areas within the professional and collegiate sport industry, but also how analytics can improve decision making in any other field of business.

AI in Business

The Artificial Intelligence in Business is designed for business major students aspiring to develop a deeper understanding of artificial intelligence and its use in business applications. The course will provide an introductory overview of different mathematical and computational data analysis tools and machine learning techniques commonly used in artificial intelligence. Focus will be on case studies and applications that demonstrate how artificial intelligence can augment current business operations.

AI in Business

The Artificial Intelligence in Business is designed for business major students aspiring to develop a deeper understanding of artificial intelligence and its use in business applications. The course will provide an introductory overview of different mathematical and computational data analysis tools and machine learning techniques commonly used in artificial intelligence. Focus will be on case studies and applications that demonstrate how artificial intelligence can augment current business operations.

Appl/R for Mktg & Analytics

In the digital age, the ability to analyze and interpret marketing data has become essential for success. This course, Applications of R for Marketing and Analytics, is designed to equip students with the skills needed to harness the power of data in making strategic marketing decisions. Through a blend of theoretical concepts and hands-on practice, students will learn how to clean, analyze, and visualize marketing data from real world datasets.

Multichannel Marketing

Marketers use a broad array of evolving tools, from Direct Mail to Social Media. In this course, students learn about the range of these tools, related data sources, and online and offline metrics for evaluating their success. The course stresses combining different marketing resources (for example, bricks and mortar stores with online channels; online landing pages to test offline media with google analytics).

Tissue Engineering

This course will introduce concepts of engineered tissue replacements and tissue model systems for basic research. We will discuss the growing need for tissue replacements, in vivo cell-matrix relationships in biology, and how we can engineer biomaterials (both bioinert and bioinstructive) to act as cell scaffolds.
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