Dr. Jake Nease

3 unit(s)
Modelling of control systems in the continuous-time domain; representations; model linearization; performance of control systems in time and frequency; stability; control design. Particular emphasis will be given to biomedical applications.
Three lectures, one tutorial every other week (two hours); second term
Prerequisite(s): IBEHS 3A03 and registration in the Integrated Biomedical Engineering and Health Sciences (IBEHS) program
Antirequisite(s): ELECENG 3CL4, MECHENG 4R03, CHEMENG 3P04, SFWRENG 3DX4, MECHTRON 3DX4

Making decisions about the design and operation of engineering systems, with the analysis emphasizing safety, economics, equipment performance, uncertainty, flexibility and monitoring, including trouble shooting. Students will work individually and in groups on problem-based projects. Three lectures, one tutorial (two hours); first term Prerequisite(s): CHEM ENG 2O04 (or 3O04), CHEM ENG 3K04, 3M04, 3P04; and registration in CHEM ENG 3G04 Antirequisite(s): ENGINEER 2B03, 4B03 http://learnche.mcmaster.ca/4N4/Main_Page

The application on optimization methods to important engineering problems in equipment design and operation, statistics, control, engineering economics and scheduling. The course will emphasize problem definition, model formulation and solution analysis, with sufficient details on existing algorithms and software to solve problems.
Two lectures, one tutorial (two hours); second term

Prerequisite(s): CHEM ENG 2O04 (or 3O04), CHEM ENG 3E04, CHEM ENG 3G04, CHEM ENG 3M04, CHEM ENG 3P04

http://learnche.mcmaster.ca/4G3/Main_Page

Formulation of first-principles and empirical models for various chemical processing applications at steady and unsteady states. Techniques for numerical solution of linear and nonlinear model equations. Techniques for numerical differentiation and integration of model equations and data sets. Three lectures; one tutorial (two hours every week); first term Prerequisite(s): MATH 1ZA3, 1ZB3, 1ZC3, registration or credit in CHEMENG 2D04, or permission from the department Antirequisite(s): CHEMENG 3E04

TECHNICAL ELECTIVE LIST B 3 unit(s) Review of multivariate statistics. Acquiring, interpreting and processing large data sets. Introduction to dimensional reduction techniques such as principal component analysis (PCA) and projection of latent structures (PLS). Introduction to data clustering methods. Chemical and materials engineering applications. Three lectures; one term Prerequisite(s): One of COMMERCE 2QA3, STATS 3Y03, MATLS 3J03 or HTHSCI 2A03 or permission of the department

TECHNICAL ELECTIVE LIST B 3 unit(s) Review of multivariate statistics. Acquiring, interpreting and processing large data sets. Introduction to dimensional reduction techniques such as principal component analysis (PCA) and projection of latent structures (PLS). Introduction to data clustering methods. Chemical and materials engineering applications. Three lectures; one term Prerequisite(s): One of COMMERCE 2QA3, STATS 3Y03, MATLS 3J03 or HTHSCI 2A03 or permission of the department

TECHNICAL ELECTIVE LIST B 3 unit(s) Review of multivariate statistics. Acquiring, interpreting and processing large data sets. Introduction to dimensional reduction techniques such as principal component analysis (PCA) and projection of latent structures (PLS). Introduction to data clustering methods. Chemical and materials engineering applications. Three lectures; one term Prerequisite(s): One of COMMERCE 2QA3, STATS 3Y03, MATLS 3J03 or HTHSCI 2A03 or permission of the department

TECHNICAL ELECTIVE LIST B 3 unit(s) Review of multivariate statistics. Acquiring, interpreting and processing large data sets. Introduction to dimensional reduction techniques such as principal component analysis (PCA) and projection of latent structures (PLS). Introduction to data clustering methods. Chemical and materials engineering applications. Three lectures; one term Prerequisite(s): One of COMMERCE 2QA3, STATS 3Y03, MATLS 3J03 or HTHSCI 2A03 or permission of the department