One-Year Professional Interdisciplinary Master Program in Robotics and Autonomous Intelligent Systems
All candidates for the One-Year Professional Interdisciplinary Master Program in Robotics and Autonomous Intelligent Systems must satisfy the overall requirements of KFUPM in addition to the following:
The applicant should have an accredited bachelor's degree or its equivalent degree in Aerospace Engineering, Mechanical Engineering, Electrical/Electronic Engineering, Computer Engineering, System Engineering, Mathematics, Computer Science, Software Engineering, Mechatronic Engineering, or discipline relevant to the program content. The applicant should have prior background in a basic control theory like CISE 305 or AE 313 or EE 380 or ME 410 or CHE 401 or equivalent. Otherwise, he could be requested to take a related deficiency course.
The Master program consists of 8 core courses from different disciplines that cover four domains: Perception, Cognitive, Action, and Mathematics Foundations.
|Sr.||Course Code and Title|
|1||AE 581: Introduction to Robotics & Autonomous Systems|
|2||SCE 575: Applied Control for Robotic Systems|
|3||SCE 576: Path Planning and Navigation for Mobile Robot|
|4||COE 510: Programming Methods for Robotics|
|5||COE 511: Multi-agent Robotic Networks|
|6||COE 512: Sensing and Actuation for Intelligent Robots|
|7||ICS 520: Artificial Intelligence and Machine learning for Robotics|
|8||SCE 578: Human-Robot Interaction|
In addition, the student must finish a final project during the last two semesters. The final project will be completed under the program affiliated faculty supervision and will integrate the skills acquired from the core courses to work on robotics related subjects.
In case, concentration students join this program, the common courses between the two programs cannot be taken for credit for both programs. Therefore, those students should take instead elective courses from the approved list below, as follows: two courses from the core elective courses list and two from the free elective courses list.
Core Elective Courses
|SCE 564|| ||Decision Making Under Uncertainty||Graduate Standing|
| ||AE 449||Fundamentals of Unmanned Aerial Systems||MATH 202, PHYS 102|
|COE 526|| ||Data Privacy||Graduate Standing|
|ICS-504|| ||Deep Learning||Graduate Standing|
Free Electives Courses
|MATH 517|| ||Introduction to Data Science||Graduate Standing|
|SEC 511|| ||Principles of Information Assurance and Security||Graduate Standing|
|SEC 521|| ||Network Security||Graduate Standing|
| ||Mobile Computing and Wireless Networks||Graduate Standing|
|COE 545|| ||Wireless Sensor Networks ||Graduate Standing|
|ICS 515||ICS 483||Computer Vision|| |