COURSE CONTENT

Introduction, mathematical tools used in kinematic synthesis of mechanisms, approximation methods, function generation, path generation, motion generation.


This class is intended to provide the graduate students with the necessary knowledge of basic statistics, experimental design and planning as well as analysis of experimental results. We will dwell into statistics in the first 9 weeks before beginning the project part of the class which will cover 5 weeks of intensive work on project plan preparation, use of software with mock data to analyze results, actually running the experiments, and a presentation of the measured and analyzed data.


The objective of this course is to provide students fundamental knowledge of essential kinetics and phase transformations of various material systems. 

This class is intended to provide the graduate students with the necessary knowledge of basic statistics, experimental design and planning as well as analysis of experimental results. We will dwell into statistics in the first 9 weeks before beginning the project part of the class which will cover 5 weeks of intensive work on project plan preparation, use of software with mock data to analyze results, actually running the experiments, and a presentation of the measured and analyzed data.


The main objective of this course is to introduce the students the basics of modern control systems and to provide them with a background on the state variable approach.


• State Space Representation

• Solution of State Equations

• Controllability and Observability

• Lyapunov Stability

• Controller Design with State Feedback

• Observer Design


The course objective is to introduce the students to the principles of robotics. In particular, the course will cover spatial kinematics, forward and inverse kinematics analyses of industrial robots.

- Spatial Kinematics 

- Kinematic Modeling Using the Denavit-Hartenberg Approach 

- Position, Velocity, and Acceleration Forward and Inverse Analyses 

- Singularity Analysis

- Performance Metrics


ME524 Experimental Design (Spring 2017)

Introduction to Wind Energy

The course will be concentrated on internal combustion engines, in-cylinder measurements and analysis. After a fundamental review of internal combustion engines, students will learn the new technologies associated to engines and the techniques (experimental and
numerical) used in engines research.