Islamic History to 1800

(Offered as HIST 138 and ASLC 138) At the dawn of the sixteenth century, the world’s largest land-based empires were in the Islamic world, stretching from the Atlantic shores of Morocco across the Indian Ocean to Pacific coasts of Indonesia, from the steppe of Central Asia to Zanzibar in East Africa. We depart from the origins of Islam in the Arabian Peninsula to explore the evolution of legal and scholarly traditions, art, architecture, science, technology, literature and a wide array of social institutions as they took shape across fast expanding Islamic empires.

Modern Jews Middle East

(Offered as HIST 107 and ASLC 107) This course introduces students to the histories of Jews in the Middle East from the mid-nineteenth century through the 1950s, beginning with the Ottoman reforms of the 1850s and concluding with the mass migration of Middle Eastern Jews to Israel-Palestine. Spanning topics from Jewish newspapers in India to musicians in North Africa, it examines how Jewish communities responded to the religious, political, and cultural transformations associated with modernity.

Lisa Stoffer

Submitted by admin on
Primary Title:  
Associate Vice President of Foundations Relations and Sponsored Research
Institution:  
Mount Holyoke College
Department:  
Adv-Corps Foundations & Gov
Email Address:  
lstoffer@mtholyoke.edu

Consumer Behavior

Application of behavioral science theories and marketing theories to an understanding of the behavior of consumers. Exploration of consumer decision making and involvement as well as psychological and social factors that influence the consumer. Prerequisites: MARKETNG 301

Deep Learning/Engineering Appl

This course provides an in-depth exploration of deep learning techniques and their practical applications across various engineering applications. Topics include Feed Forward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and Transformers applied to engineering applications such as demand forecasting; route optimization or transportation and delivery; inventory management; dimensionality reduction; anomaly detection in manufacturing and quality control; digital twin modeling; and surrogate of simulation models.

Deep Learning/Engineering Appl

This course provides an in-depth exploration of deep learning techniques and their practical applications across various engineering applications. Topics include Feed Forward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and Transformers applied to engineering applications such as demand forecasting; route optimization or transportation and delivery; inventory management; dimensionality reduction; anomaly detection in manufacturing and quality control; digital twin modeling; and surrogate of simulation models.
Subscribe to