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 (B.S.E.) degree 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 educational objectives of the Robotics Engineering program are to develop graduates who possess:

• Good design skills, the ability to formulate problems; design experiments; collect, analyze, and interpret data; evaluate material, computational, and management resources needed to solve typical problems

• The ability to work in multidisciplinary teams and communicate effectively

• The ability to pursue graduate studies as well as a research career in industry, government, or academia

• Hands-on experience with commonly used industry standard software and hardware tools

• A good awareness of professional responsibility, ethics, and the need to engage in life-long learning

• A strong preparedness to meet regional needs, including the automotive, construction, defense-related, life-sciences, and power industries, consistent with the University’s mission

• A strong grounding in the principles and methods of robotics engineering, including robots, robotic systems, computers and control systems, and the ability to apply these in systems, products, and applications.

Program Educational Objectives

The objective of the BSE RE degree programs are to:

  1. 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. 
  2. 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 licences associated with advanced studies. 
  3. 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.

Program Outcomes

The Robotics Engineering program is designed to demonstrate that graduates of the program have:

  1. an ability to apply knowledge of mathematics, science, and engineering
  2. an ability to design and conduct experiments, as well as to analyze and interpret data
  3. an ability to design a system, component, or process to meet desired needs
  4. an ability to work cooperatively on multi-disciplinary projects
  5. an ability to identify, formulate, and solve engineering problems
  6. an understanding of professional and ethical responsibility
  7. proficiency in oral and written communications
  8. the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context
  9. a clear understanding that lifelong learning is essential for sustained professional development
  10. a knowledge of contemporary issues and its impact on the engineering profession
  11. an ability to use the techniques, skills and modern engineering tools necessary for engineering practice

Concentration Requirements

(125 hours minimum)

Dearborn Discovery Core Requirement

The minimum passing grade for a Dearborn Discovery Core (DDC) course is 2.0. The minimum GPA for the program is 2.0. In addition, the DDC permits any approved course to satisfy up to three credit hours within three different categories. Please see the General Education Program: The Dearborn Discovery Core section for additional information.

Foundational Studies

Written and Oral 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

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. 

Basic Preparation for Engineering
Tech Writing for Engineers (Also fulfills 3 credits of DDC Written and Oral Communication)
Prin: Macroeconomics (ECON 201 or 202 also fulfill 3 credits of DDC Social and Behavioral Analysis)
Prin: Microeconomics
ENGR 100Intro to Eng and Computers2
MATH 115Calculus I4
MATH 116Calculus II4
MATH 205Calc III for Engin Students3
MATH 216Intro to Diff Equations3
MATH 217Intro to Matrix Algebra2
or MATH 227 Introduction to Linear Algebra
CHEM 144Gen Chemistry IB4
PHYS 150General Physics I4
PHYS 151General Physics II4
IMSE 317Eng Probability and Statistics3
ME 265Applied Mechanics4
Applied Business Course
ENT 400Entrepreneurial Thinking&Behav3
ECE Core Courses
ECE 210Circuits4
ECE 270Computer Methods in ECE I4
ECE 273Digital Systems4
ECE 311Electronic Circuits I4
ECE 3171Analog & Discrete Sig & Sys4
RE Core Courses
ECE 347Applied Dynamics4
ECE 3641Robotics I4
ECE 3731Microproc and Embedded Sys4
IMSE 381Industrial Robots4
ECE 460Automatic Control Systems4
or ME 442 Control Syst Anly and Design
ECE 4641Robotics II4
ME 472Prin & Appl of Mechatronic Sys4
ECE 4881Introduction to Robot Vision3
ECE 4951Sys Desgn and Microcontrollers3
ECE 4987Robotics Engineering Design I2
ECE 4988Robotics Engineering Design II2
Professional Electives
Select two courses from the following list:6
Intro to Artificial Intel
Artificial Intelligence
Adv Soft Techn in Comp Engr
Machine Learning in Engin
Comp Networks/Data Comm
Embedded System Design
Intro to Dig Signal Processing
Directed Studies
Robotics Systems Simulation
Des and Analy of Mach Elem
Total Credit Hours104