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Mechanical Design With Finite Element Methods

This course emphasizes mechanical design techniques based on the finite element method, using machine design background as the starting point. Techniques for modeling machine elements will be shown in relation to the basic FEM theory. Emphasis will be on quantifying loads, the resulting stress and deflection, and relating them to design allowables, leading to an acceptable design solution.

Scientific Communications

To be useful, scientific research needs to be explained clearly to others--to colleagues, to administrators, to foundations and governmental bodies, and to the public. This course will give students the tools to effectively present their data, their ideas, and themselves to the scientific community. Through a series of directed exercises the students will learn how to write an abstract, a scientific paper, and a grant, and to prepare a poster and to give an oral presentation. The class will draw examples, topics, and exercises from current literature.

Principles Of Leadership

This course is designed to provide an introduction to leadership. Its focus is the development of an understanding of leadership theories and styles. You will also learn strategies for successful leadership. The introduction will include: 1) historical, theoretical, and cultural perspectives of leadership, 2) leadership skills and styles and strategies for success, and 3) examination of the responsibilities of leadership.

Contemporary Leadership Applications

This course supplements and integrates previous learning and is designed to provide maximum exposure to various concepts and perspectives of leadership through observational experiences, critical thinking, and self-analysis. It is also designed to allow the demonstration of previously learned leadership theories, styles, and strategies. Students must integrate their personal ethics and vision of leadership in their examination of various contemporary leadership contexts.

Machine Learning

Study of computational principles and techniques that enable software systems to improve their performance by learning from data. Focus on fundamental algorithms, mathematical models and programming techniques used in Machine Learning. Topics include: different learning settings (such as supervised, unsupervised and reinforcement learning), various learning algorithms (such as decision trees, neural networks, k-NN, boosting, SVM, k-means) and crosscutting issues of generalization, data representation, feature selection, model fitting and optimization.

Principles Of Leadership

This course is designed to provide an introduction to leadership. Its focus is the development of an understanding of leadership theories and styles. You will also learn strategies for successful leadership. The introduction will include: 1) historical, theoretical, and cultural perspectives of leadership, 2) leadership skills and styles and strategies for success, and 3) examination of the responsibilities of leadership.

Contemporary Leadership Applications

This course supplements and integrates previous learning and is designed to provide maximum exposure to various concepts and perspectives of leadership through observational experiences, critical thinking, and self-analysis. It is also designed to allow the demonstration of previously learned leadership theories, styles, and strategies. Students must integrate their personal ethics and vision of leadership in their examination of various contemporary leadership contexts.

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