Robotics and Automation Engineering Program Overview
December 6, 2023 2024-11-07 15:43Robotics and Automation Engineering Program Overview
Program Overview
Robotics and Automation Engineering prepares students to eaxcel in the rapidly-evolving world of industrial 4.0 and digital transformation for industrial manufacturing. The curriculum is designed to equip students with the practical skills they need to succeed in this exciting and dynamic demanding field. It focuses on building a strong foundation of engineering principles, computer science, mechanical design, and new technology for industrial digital transformation. The unique features of the Robotics and Automation Engineering program at Camtech is its project-based learning program in which students work on internship projects for 3 years to adapt new technologies quickly and to develop excellent problem-solving and collaborative teamwork skills from their early years In addition to the hand-on approach in the university, the one-year industry placement program will provide students with an opportunity to gain hands-on experience in a real-world work environment, helping them acquire practical knowledge and skills that can prepare them for a successful career. As graduates of this program, students will be well-equipped to design, develop, and implement robotic systems and automation technology that can improve efficiency and productivity across a range of industries.
Program Learning Outcomes
- Acquire an extensive comprehension of robotics and automation, encompassing the past developments in robotics, existing software and hardware technologies, and anticipated future advancements. (knowledge)
- Understand and apply principles of robotics mechanics and control, including kinematics, dynamics, and control algorithms (Cognitive Skills)
- Develop critical thinking and problem-solving abilities to construct robots by utilizing various fabrication technologies like 3D printing, CNC machining, and others and additionally, acquire proficiency in programming robots, including motion planning, path optimization, and control algorithms(Cognitive Skills)
- Apply ethical considerations in the development of robots, automation, and intelligent systems, including issues related to bias, privacy, and data security (Interpersonal Skill and Responsibility)
- Stay up-to-date with the latest advancements and trends in the field of robotic and automation including both software and hardware (Interpersonal Skill and Responsibility)
- Develop effective team work and communication skills to present complex industry automation scenario to both technical and non-technical audiences (Communication, Psychomotor Skills)
Program Structure
The 4-year Bachelor’s Degree program contains 156 credits combining from 106 credits of coursework, 48 credits of internship and 2 credits of Industrial Placement Report. The courses are divided into three categories, including Common Courses, Specialized Courses, and Elective Courses.
Common courses
ENG101: Core English
ENG102: Core English
ENG103: Academic Writing Skills
RES101: Research Methods
PRO101: Computer Fundamentals
CHN101: Chinese
CHN102: Chinese
STA101: Statistics and Probability
SDE101: Social and Digital Entrepreneurship
PHI101: Philosophy and Anthropology of Technology
Internship
9 internships (3 internships per term)
Specialised courses
FECO101: Mathematics for Engineering 1
FECO102: Algorithm 1
FECO103: Mathematics for Engineering 2
FECO104: Algorithm 2
FECO105: Mathematics for Engineering 3
FECO106: Algorithm 3
FECO107: Introduction to Computer Network
FECO201: Introduction to AI
FECO202: Computer Architecture & Operating System
FECO203: Database
FECO204: Object Oriented Conception
FECO205: Data Structure and Algorithm
FERA219: Robotics Fundamental
FERA220: Theoretical Mechanics and Mechanism
FERA221: Mechanical Engineering Graphics (CAD)
FERA222: Electrics Circuits & Electronics
FERA223: Embedded Systems
FEAI216: Computer Vision and Image Processing
FECO301: Project Management
FECO302: Digital Law and Cyber Ethic
FECO303: AI and Its Application
FEAI314: Advanced Machine Learning
FERA321: PLC programming and industrial automation
FERA322: Advanced Robotics and Control Systems
FERA323: Industrial communication network and protocol
FERA324: AIoT: Artificial Intelligence of Things
FERA325: Factory Automation and Manufacturing
Process
FERA326: Mobile Robotics and Autonomous Systems
FERA327: Modern control system & Actuator Control
Elective courses
HUM101: Introduction to Humanities
GLO101: Global Studies
ENV101: Environment and Geography
PRO102: Object-Oriented Programming
MAT101: Applied Math
ATR101: Fine Arts
ARC101: Computer-Aided Design
PHY101: Physics
RES101: Research Methods
COM101: Computer Fundamentals
(other 6 elective courses from other faculties)
Job Prospects
- Robotics Engineer
- Production improvement supervisor
- Manufacturing engineering
- Robot design engineers
- Automated product designer
- Embedded Software Engineer
- Researcher