No: EE 401
Title: Engineering Design by Teams: Robotics I
Goals: To learn techniques of engineering creativity, teamwork, mentoring, and product design.
Learning objectives: At the end of this course students will be able to:
Textbook: K. Otto and K. Wood, Product Design, Prentice Hall, 2001
Genrich Altshuller, The Innovation Algorithm: TRIZ, Systematic Innovation
and Technical Creativity
Genrich Altshuller, 40 Principles: TRIZ Keys to Technical Innovation
T. Kelley, J. Littman, The Art of Innovation
Prerequisites by Topic:
Course structure: The class meets for two lectures a week, each consisting of two 50-minute sessions. There is weekly homework due. There are an in-class closed-book midterm and final exams. There is one term project culminating in oral presentations.
Computer resources: There are two computer sessions conducted in general EE computing labs. No specialized software is required.
|Participation and initiative (instructor evaluation)||5%|
|Participation (peer evaluation)||5%|
This class covers all ABET-defined outcomes.
a. an ability to apply knowledge of mathematics, science, and engineering. Several lectures focus on engineering models and calculation of system parameters. (M)
b. an ability to design and conduct experiments, as well as to analyze and interpret data. Introduction to Design of Experiments is covered in one lecture. Students have to work with Pugh charts to different design prototypes (M)
c. An ability to design a system, component or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability and sustainability Several aspects of product design theory are covered, including innovation needs, originality, design for manufacturability, and design evaluation approaches. (H)
d. an ability to function on multi-disciplinary teams. Students are prepared to function as a highly interdisciplinary team of about twenty people, covering electrical, mechanical, and computer engineering, marketing, project management, video production, media relationships, and human resource management. (H)
e. an ability to identify, formulate, and solve engineering problems. Students are regularly given homeworks dedicated to identification, formulation, and solving of engineering problems. (M)
f. an understanding of professional and ethical responsibility. Invited lectures on intellectual property, mentoring, high-tech venture development cover a broad array of ethical issues. (M)
g. an ability to communicate effectively. Students have to prepare a variety of technical presentation materials, among them an "elevator speech," a "napkin engineering sketch", a traditional Power-Point oral presentation, and a 15-page long term project report. (H)
h. the broad education necessary to understand the impact of engineering solutions in a global and societal context. Engineering contests are designed to bring attention to the importance of technology in society, look for new applications of existing technologies (M)
i. a recognition of the need for, and an ability to engage in life-long learning. Early in class students are introduced to techniques of independent learning, advanced literature search, and independent idea evaluation. A portion of the closing lecture of class is dedicated to discussion of research opportunities on campus, graduate school, and experiences of industrial engineers. (M)
j. a knowledge of contemporary issues. Invited lectures by an intellectual property lawyer and by venture capitalists are based on the most recent examples of activities in these fields (M)
k. an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. Students are familiarized with rapid prototyping, CNC machining, computer assisted design, and a wide variety of formal creativity techniques. (M)
l. Knowledge of probability and statistics, including applications appropriate to electrical engineering. Students get familiarity with the Design of Experiments. (L)
m Knowledge of differential equations, linear algebra, complex variables and discrete mathematics. Differential equations are used in modeling of robot kinematics. (L)Prepared by: Alexander Mamishev
Last revised: 5/17/2007