Enrollment and waitlist data for current and upcoming courses refresh every 10 minutes; all other information as of 6:00 AM.
| 05/31 - 07/21 | ||||||
| M | T | W | Th | F | Sa | Su |
5:45 pm |
5:45 pm |
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Subject: Engr Tech Leadrshp (Grad) (ETLS)
CRN: 31250
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 328
The course provides an overview of engineering solid mechanics. An effort will be made to apply theory to practice relating to typical industrial problems faced by today’s engineering companies. A complete understanding of these topics is required for the application of engineering knowledge in the solid mechanics. This course provides the foundation for many of the courses which follow.
3 Credits
| 05/31 - 07/21 | ||||||
| M | T | W | Th | F | Sa | Su |
5:45 pm |
5:45 pm |
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Subject: Engr Tech Leadrshp (Grad) (ETLS)
CRN: 31235
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 325
This course provides a broad instruction in the design and analysis of advanced thermal systems. Analysis techniques will include both analytical and numerical methods. Application areas include biomedical, aerospace, manufacturing, HVAC, and other industries.
3 Credits
| 05/31 - 07/21 | ||||||
| M | T | W | Th | F | Sa | Su |
5:45 pm |
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| + asynchronous coursework | ||||||
Subject: Engr Tech Leadrshp (Grad) (ETLS)
CRN: 31236
Blended Online & In-Person | Lecture
St Paul: Facilities & Design Center 213
Online
The “Things” that comprise the Internet of Things (IoT) include integrated sensors that measure their environment. This course will study the electronics, physics, and performance characteristics of these sensors. We will study sensors that measure acceleration, relative humidity, temperature, magnetic fields, ambient light, pressure, and gas composition. Autonomous machines, including driverless cars and factory robots, also rely upon sensing. In the second half of this course, we will investigate the characteristics, design, and operation of the critical sensing systems of these devices, including 2D cameras, cameras for depth sensing, LIDAR, and radar. We will apply our understanding of the sensors studied, to applications that include smart homes, autonomous vehicles, and wearables for health monitoring.
3 Credits
| 05/31 - 07/14 | ||||||
| M | T | W | Th | F | Sa | Su |
5:45 pm |
5:45 pm |
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Subject: Engr Tech Leadrshp (Grad) (ETLS)
CRN: 31237
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 328
Managers use written, oral and non-verbal communication to accomplish many purposes. This course teaches the student techniques and practice skills for targeting your audience, coaching and supporting employees, interviewing, salesmanship, performance management, personnel selection and employee development, conflict management, running meetings, problem solving and decision making, teamwork, networking and customer and vendor relationships.
3 Credits
| M | T | W | Th | F | Sa | Su |
05/31: 06/07: 06/14: 06/21: 06/28: 07/05: 07/12: |
06/02: 06/09: 06/16: 06/23: 06/30: 07/07: 07/14: |
Subject: Engr Tech Leadrshp (Grad) (ETLS)
CRN: 31238
Blended Online & In-Person | Lecture
St Paul: O'Shaughnessy Science Hall 329
Online
Students will learn about the various types of clinical evidence, how clinical evidence is obtained and used and the broad requirements for clinical evidence. Students will learn the basic fundamentals of reimbursement, coding, coverage and payment. Students will gain an understanding on how these concepts impact the regulatory process and apply these fundamentals to strategic thinking through real-world case studies and examination of current healthcare issues.
3 Credits
| 05/31 - 07/21 | ||||||
| M | T | W | Th | F | Sa | Su |
5:30 pm |
5:30 pm |
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Subject: Engr Tech Leadrshp (Grad) (ETLS)
CRN: 30947
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 333
This course provides an introduction to mechatronic systems that is useful to individuals managing the design or manufacture of such devices or as a foundation for further study in mechatronic design.
3 Credits
| 05/31 - 07/21 | ||||||
| M | T | W | Th | F | Sa | Su |
5:45 pm |
5:45 pm |
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Subject: Engr Tech Leadrshp (Grad) (ETLS)
CRN: 31239
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 325
This course offers an introduction to finite element analysis (FEA) in theory and practice. Students will learn the mathematical and physical foundation of the method, and will also be exposed to implementation via a commerical FEA program. Solution to real problems and projects will be integral parts of the course content and grade. Emphasis will be placed on the use of FEA for solid/structural mechanics problems, while the solution for thermal and fluid problems will be covered superficially. A strong background in mechanics of materials, physics and calculus is necessary. Knowledge of computer operating systems (windows or UNIX) and programming languages (FORTRAN, Basic, C) will be useful, but is not required.
3 Credits
| 07/18 - 09/01 | ||||||
| M | T | W | Th | F | Sa | Su |
5:45 pm |
5:45 pm |
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Subject: Engr Tech Leadrshp (Grad) (ETLS)
CRN: 31314
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 329
This is an introductory course on modeling and simulation. Its purpose is to give engineering students of different engineering disciplines experience using the basic principles involved in creating models and simulations to address complex problems. The emphasis will be on the basic principles involved in modeling and simulation and the limitations of modeling and simulation. The specific principals are: (1) Problem formulation, (2) Setting model objectives, (3) Model conceptualization, (4) Data collection, (5) Model translation (translation to a simulation language- this class will use Microsoft Excel as a simulation language), (6) model verification and validation, (7) Simulation, and (8) documentation and reporting. Since the focus is on principles and not on tools, the need to learn new tools has been minimized using Microsoft Office tools (Word, Power Point and Excel) and an intuitive modeling language IDEF0 (Integrated Definition Modeling. The course will require students to demonstrate basic modeling and simulation skills by means of creating models and simulations that address a variety of complex problems. Discrete and continuous models will be covered as will deterministic and stochastic models. The course will have a semester long Request For Information (RFI) project that will capture what the students understand about modeling and simulation. The students will be organized into competing teams that will be required to respond to a Request For Information (RFI) that will ask them to compete for the role as a modeling and simulation contractor to a large systems integration company. The RFI will be presented to the students during the first week of class. The RFI will ask the teams to demonstrate that they understand how to model and simulate several different domains. During the class they students will learn how to model and simulate in those domains. The modeling and simulation principles and the experience they get using those principles during the course will provide the student with modeling and simulation skills that they will be able to apply in their careers
3 Credits