Robotics Engineering
With recent advances in computer hardware and software, as well as 3D printing, the field of robotics is entering a new phase where robots are smaller, faster, cheaper, and smarter. These next generation robots will have applications in a wide variety of fields, including manufacturing, medicine, education, entertainment, military applications, etc.
The Bachelor of Science in Engineering in Robotics Engineering program requires a total of 125 credit hours. The program is designed to provide students with an understanding of important concepts in Robotics, Electrical and Computer Engineering, Systems Engineering, and Mechanical Engineering, as well as an ability to apply these concepts to design robots and robotic systems for diverse applications.
The Bachelor of Science in Engineering in Robotics Engineering program is accredited by the Engineering Accreditation Commission of ABET, https://www.abet.org
Program Educational Objectives
The graduates who receive the Bachelor of Science in Engineering degree in Robotics Engineering from the University of Michigan-Dearborn are expected to achieve within a few years of graduation the high professional, ethical, and societal goals demonstrated by accomplishing one or more of the objectives described below.
- Achieve professional growth in an engineering position in regional and national industries. Growth can be evidenced by promotions and appointment in the workplace (management positions, technical specialization), entrepreneurial activities, and consulting activities.
- Success in advanced engineering studies evidenced by enrollment in graduate courses, completion of graduate degree programs, presentations and publications at professional events, and awards or licenses associated with advanced studies.
- Realization of impactful achievements in societal roles demonstrated by attainment of community leadership roles, mentoring activities, civic outreach service, and active roles in professional societies.
Student Outcomes
To achieve the educational objectives, the graduates of the program will have:
- An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
- An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
- An ability to communicate effectively with a range of audiences.
- An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
- An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
- An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
- An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
Dearborn Discovery Core
Please see the Dearborn Discovery Core (General Education) webpage or additional information.
Foundational Studies
Writing and Communication (GEWO) – 6 Credits
Upper-Level Writing Intensive (GEWI) – 3 Credits
Quantitative Thinking and Problem Solving (GEQT) – 3 Credits
Critical and Creative Thinking (GECC) – 3 Credits
Areas of Inquiry
Natural Science (GENS) – 7 Credits
- Lecture/Lab Science Course
- Additional Science Course
Social and Behavioral Analysis (GESB) – 9 Credits
Humanities and the Arts (GEHA) – 6 Credits
Intersections (GEIN) – 6 Credits
Capstone
Capstone (GECE) – 3 Credits
Major Requirements
In addition to completion of the Dearborn Discovery Core, the following courses are required to earn a BSE degree in Robotics Engineering from UM-Dearborn.
| Code | Title | Credit Hours |
|---|---|---|
| Prerequisite Courses | ||
| ENGR 100 | Introduction to Engineering and Engineering Design | 3 |
| COMP 270 | Tech Writing for Engineers (Also fulfills 3 credits of DDC Written and Oral Communication) | 3 |
| ECON 201 | Prin: Macroeconomics (ECON 201 or 202 also fulfill 3 credits of DDC Social and Behavioral Analysis) | 3 |
| or ECON 202 | Prin: Microeconomics | |
| MATH 115 | Calculus I | 4 |
| MATH 116 | Calculus II | 4 |
| MATH 215 | Calculus III | 4 |
| MATH 228 | Diff Eqns with Linear Algebra | 4 |
| IMSE 317 | Eng Probability and Statistics | 3 |
| CHEM 134 | General Chemistry IA | 4 |
| PHYS 150 | General Physics I | 4 |
| PHYS 151 | General Physics II | 4 |
| ECE 276 | Discrete Math in Computer Engr | 4 |
| or MATH 276 | Discrete Math Meth Comptr Engr | |
| ECE 273 | Digital Systems | 4 |
| ECE 270 | Computer Methods in ECE I | 4 |
| ECE 210 | Circuits | 4 |
| Robotics Engineering Major Core | ||
| ECE 311 | Electronic Circuits I | 4 |
| ECE 3731 | Microproc and Embedded Sys | 4 |
| ECE 347 | Applied Dynamics | 4 |
| ECE 3641 | Robotic Manipulation | 4 |
| ECE 3171 | Analog & Discrete Sig & Sys | 4 |
| ECE 370 | Adv Soft Techn in Comp Engr | 4 |
| IMSE 381 | Industrial Robots | 4 |
| ECE 460 | Automatic Control Systems | 4 |
| or ME 442 | Control Systems Analysis and Design | |
| ECE 4641 | Mobile Robots | 4 |
| ENT 400 | Entrepreneurial Thinking&Behav | 3 |
| ECE 4987 | Robotics Engineering Design I | 2 |
| ECE 4988 | Robotics Engineering Design II | 2 |
| Professional and Approved Electives | 11 | |
| Professional Electives - select 6-8 credits from the following list: | 6-8 | |
| Intro to Artificial Intel | ||
or ECE 479 | Artificial Intelligence | |
| Introduction to Machine Learning | ||
| Comp Networks/Data Comm | ||
| Embedded System Design | ||
| Intro to Dig Signal Processing | ||
| Introduction to Robot Vision | ||
| Sys Desgn and Microcontrollers | ||
| Directed Studies | ||
| Robotics Systems Simulation | ||
| Design and Analysis of Machine Elements | ||
| Prin & Appl of Mechatronic Sys | ||
| Exper Honors Directed Research | ||
| Exper Hnrs Dir Dsgn | ||
| Approved Electives - select additional 4-6 credits to total a minimum of 11 credits in Professional and Approved Electives: | 4-6 | |
| Electromagnetic Compatibility | ||
| Intro to Comp Architecture | ||
| Elec Materials and Devices | ||
| Electronic Systems Design | ||
| Power Electronics | ||
| Cloud Computing | ||
| Intr to Multimedia Technolgies | ||
| Introduction to Machine Learning | ||
| Intro to Mobil/Smrt Dev & Tech | ||
| Electric Machines and Drives | ||
| Web Engr: Prin & Tech | ||
| Renewable Elec Pwr Sys | ||
| Analog and Digital Comm Sys | ||
| Comp Hardware Org/Design | ||
| Nanoscience and Nanotechnology | ||
| Experiential Honors Prof. Prac | ||
| Exper Honors Directed Research | ||
| Exper Hnrs Dir Dsgn | ||
| Intro to Operations Research | ||
| Eng Economy and Dec Anlys | ||
| Information Systems Design | ||
| Thermodynamics | ||
| Design Stress Analyses | ||
or ME 265 | Applied Mechanics | |
Learning Goals
- An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
- An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
- An ability to communicate effectively with a range of audiences.
- An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
- An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
- An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
- An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.