Enrollment and waitlist data for current and upcoming courses refresh every 10 minutes; all other information as of 6:00 AM.
| 05/26 - 07/11 | ||||||
| M | T | W | Th | F | Sa | Su |
| + asynchronous coursework | ||||||
Subject: Engr Tech Leadrshp (Grad) (ETLS)
CRN: 30338
Online: Asynchronous | Online: Asynchronous
Online
Introduction to linear circuit analysis and basic electronic instrumentation. Students will learn linear models of passive components and sources as well as how real components depart from those models. Circuit analysis techniques including nodal and mesh analysis, equivalence theorems and computer simulation will be covered. Laplace transform techniques will be used to examine sinusoidal steady state and transient circuit behavior. Prerequisite: A minimum grade of C- in PHYS 112 or 212, and concurrent registration with or prior completion of MATH 114. NOTE: Students who receive credit for ENGR 240 or ENGR 350 may not receive credit for this class.
3 Credits
| 05/26 - 07/11 | ||||||
| M | T | W | Th | F | Sa | Su |
Subject: Engr Tech Leadrshp (Grad) (ETLS)
CRN: 30339
Online: Asynchronous | Directed Study
Online
An introduction to the scope of control systems in manufacturing and their implementation. The course focuses on analog control loop theory, the use of transforms to describe and solve analog control systems. Emphasis is placed on the development and implementation of proportional, integral derivative (PID) control algorithms. Simulation is emphasized as an important tool for plant design, layout and optimizing systems. Prerequisite: ETLS 511 Note: Students who receive credit for ENGR 410 may not receive credit for ETLS 512.
3 Credits
| 05/26 - 07/11 | ||||||
| M | T | W | Th | F | Sa | Su |
5:45 pm |
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| + asynchronous coursework | ||||||
Subject: Engr Tech Leadrshp (Grad) (ETLS)
CRN: 30340
Blended Online & In-Person | Lecture
St Paul: Schoenecker Center 308
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
| 05/26 - 07/11 | ||||||
| M | T | W | Th | F | Sa | Su |
5:45 pm |
5:45 pm |
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Subject: Engr Tech Leadrshp (Grad) (ETLS)
CRN: 30327
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 |
05/26 - 07/11: |
05/26 - 07/11: |
05/29: |
Subject: Engr Tech Leadrshp (Grad) (ETLS)
CRN: 30336
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 328
| 07/13 - 08/27 | ||||||
| M | T | W | Th | F | Sa | Su |
5:45 pm |
5:45 pm |
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Subject: Engr Tech Leadrshp (Grad) (ETLS)
CRN: 30328
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 333
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