Robotics and Automation Engineering Program Overview

Robotics 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
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