Robotics Engineering (BSE)
Robotics is a multidisciplinary field that draws on aspects from electrical engineering, mechanical engineering, and computer engineering. The proposed curriculum is built around fundamental core courses in each of these areas that are then brought together with specific robotics engineering courses. The Robotics Engineering program educational objectives are that our alumni/ae:
- make technical contributions to design, development, and manufacturing in their practice of robotics engineering.
- advance in their professional career.
- engage in professional development or post-graduate education to pursue flexible career paths amid future technological changes.
Location
- Storrs Campus
Modality
- In Person
Requirements
Bachelor of Science in Engineering
The Robotics Engineering major requires a total of 126 credits. Robotics Engineering majors are required to complete the following:
| Course | Title | Credits |
|---|---|---|
| Required Courses | ||
| ENGR 1166 | Foundations of Engineering | 3 |
| CSE 2050 | Data Structures and Object-Oriented Design | 3 |
| CSE 2500 | Introduction to Discrete Systems | 3 |
| or MATH 2710 | Transition to Advanced Mathematics | |
| CSE 3500 | Algorithms and Complexity | 3 |
| CSE 4820 | Introduction to Machine Learning | 3 |
| ECE 1401 | Programming for Electrical Engineers | 3 |
| or CSE 3100 | Systems Programming | |
| ECE 2001 | Electrical Circuits | 4 |
| ECE 3101 | Signals and Systems | 3 |
| ECE 3411 | Microprocessor Applications Laboratory | 3 |
| ECE 3111 | Systems Analysis and Design | 4 |
| or ME 3253 | Linear Systems Theory | |
| or ME 3254 | Linear Systems Theory | |
| ECE/ME 3161 | Introduction to Robotics | 3 |
| ECE/ME 3162 | Robot Motion Planning | 3 |
| ECE/ME 3163 | Robot Control and Dynamics | 3 |
| ECE/ME 4161 | Robotics Systems Laboratory | 3 |
| MATH 2110Q | Multivariable Calculus | 4 |
| MATH 2210Q | Applied Linear Algebra | 3 |
| MATH 2410Q | Elementary Differential Equations | 3 |
| STAT 3345Q | Probability Models for Engineers | 3 |
| or MATH 3160 | Probability | |
| Senior Design and In-Major Writing | ||
| Complete one of the senior design sequences below: | ||
Sequence 1 | ||
| Communicating Engineering Solutions in a Societal Context and Electrical and Computer Engineering Design I and Electrical and Computer Engineering Design II | ||
Sequence 2 | ||
| Senior Design Project I and Ethics for Engineers and Senior Design Project II | ||
Sequence 3 | ||
| Computer Science and Engineering Design Project I and Computer Science and Engineering Design Project II | ||
| Track Electives | ||
| Select three courses; taken from designated list of courses for each track: | 9 | |
| Robotics Electives | ||
| Two additional courses; taken from designated list of courses from any of the track lists. With prior approval by the program director, special topics courses (CSE 4095, CSE 5095, ECE 4095, ECE 6095, or ME 3295) and up to 3 credits of thesis (ECE 4097 or CSE 4997 or ME 3279 or ME 3396) may count towards Track or Robotics Elective credits. Required Robotics Engineering Courses cannot also be used to fulfill Track or Robotics Electives. | 6 | |
| Elective Courses | ||
| Select one of the following: | 2-3 | |
| Systems Analysis and Design (two credits) | ||
| Linear Systems Theory (three credits) | ||
| Linear Systems Theory (three credits) | ||
Tracks
Electronics Track
| Course | Title | Credits |
|---|---|---|
| CSE 2301 | Principles and Practice of Digital Logic Design | 4 |
| ECE 3201 | Electronic Circuit Design and Analysis | 4 |
| ECE 3211 | Power Electronics | 4 |
| ECE 3212 | Electric Machines and Drives | 4 |
Systems Track
| Course | Title | Credits |
|---|---|---|
| CSE 3100 | Systems Programming | 3 |
| CSE 4705 | Artificial Intelligence | 3 |
| CSE 4709 | Networked Embedded Systems | 3 |
| ECE 4131 | Introduction to Digital Signal Processing | 3 |
| ECE 4132 | Image Processing Systems Laboratory | 3 |
Mechanical Track
| Course | Title | Credits |
|---|---|---|
| CE 2110 | Applied Mechanics I | 3 |
| CE 3110 | Mechanics of Materials | 3 |
| ME 2120 | Applied Mechanics II | 3 |
| ME 3165 | Soft Robotics | 3 |
| ME 3220 | Mechanical Vibrations | 3 |
| ME 3221 | Manufacturing Automation | 3 |
| ME 3227 | Design of Machine Elements | 3 |
| ME 3256W | Data-Driven Decisions and Technical Communications | 3 |
| ME 3262 | Applied Measurements and Data Analysis | 3 |
Biomedical Track
| Course | Title | Credits |
|---|---|---|
| BME 3500 | Biomedical Engineering Measurements | 4 |
| BME 3600 | Biomechanics | 4 |
| BME 4120 | Neural Information Processing and Sensory Coding | 3 |
| BME 4130 | Neural Prostheses | 3 |
| BME 4300 | Physiological Control Systems | 3 |
| BME 4500 | Bioinstrumentation | 3 |
Learning Objectives
- Identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
- 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.
- Communicate effectively with a range of audiences.
- 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.
- Function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
- Develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
- Acquire and apply new knowledge as needed, using appropriate learning strategies.