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Academic Curriculum
The modern expert in robotics and intelligent systems must be proficient in artificial intelligence, computer vision, control systems, dynamics, machine learning, as well as the design, programming, and prototyping of robotic systems. Such subjects typically reside in different departments, and departmental programs do not offer the flexibility for cross-departmental training. The Robotics Master of Science In Engineering (M.S.E.) program offers a more balanced and flexible academic curriculum that cuts across multiple departments.
The Robotics M.S.E. requirements consist of a total of ten courses, including an optional thesis project.
COURSES -
Robotics masters students are required to take three Foundational Courses, five Technical Elective Courses, and two Robotics Electives.
Students who wish to take all four Foundational Courses can use three to satisfy the Foundational Course requirement, and the remaining course can be used to satisfy either the Technical Elective or Robotics Elective requirement.
The Technical Elective Courses are typically offered by GRASP or related faculty. Technical Electives allow the student to strengthen knowledge in a particular area, expand in related areas, as well as perform an optional master’s thesis with a GRASP faculty member.
ROBOTICS MSE CURRICULUM |
FOUNDATIONAL COURSE OPTIONS (3) |
Artificial Intelligence: |
Students are required to take three Foundational Courses from the options listed in the Artificial Intelligence, Robotics, Control &
Perception categories at left. Qualified students may take two of these courses and use a course from the Technical Elective Course Options to satisfy the Foundational Course requirement. |
CIS 520 |
Machine Learning |
CIS 521 |
Fundamentals of AI |
Robotics: |
MEAM 520 |
Robotics & Automation |
MEAM 620 |
Motion Planning |
Control: |
ESE 500 |
Linear Systems |
ESE 505 |
Control Systems Design |
Perception: |
CIS 580 |
Machine Perception |
TECHNICAL ELECTIVE COURSE OPTIONS (5) |
CIS 510 |
Curves & Surfaces: Theory & Applications |
Students are required to take five of the Technical Elective Courses from the courses listed at left.
Options for completing the degree:
- A Foundational Course and a Technical Elective Course
- An Elective and one credit of Independent Study
- Pursuing research and completing a Thesis (two credits of Thesis Research)
|
CIS 540 |
Principles of Embedded Computation |
CIS 560 |
Computer Graphics |
CIS 562 |
Computer Animation |
CIS 563 |
Physically Based Animation |
| CIS 564 |
Game Design & Development |
CIS 581 |
Computer Vision & Computational Photography |
CIS 610 |
Advanced Geometric Methods |
CIS 620 |
Advanced Topics in AI |
CIS 665 |
GPU Programming & Architecture |
CIS 680 |
Vision and Learning |
EAS 545 |
Engineering Entrepreneurship I |
EAS 546 |
Engineering Entrepreneurship II |
ENM 503 |
Introduction to Probability & Statistics |
ENM 510 |
Foundations of Engineering Math I |
ENM 511 |
Foundations of Engineering Math II |
ESE 504 |
Introduction to Optimization |
ESE 519 |
Real Time & Embedded Systems |
ESE 530 |
Elements of Probability Theory & Random Processes |
ESE 601 |
Hybrid Systems |
ESE 605 |
Convex Optimization |
ESE 617 |
Nonlinear Systems |
ESE 650 |
Learning in Robotics |
ESE 680 |
Dynamic Programming |
IPD 511 |
Creative Thinking & Functional Iteration in Design |
MEAM 510 |
Design of Mechatronic Systems |
MEAM 515 |
Product Design |
MEAM 535 |
Advanced Dynamics |
| MEAM 610 |
Advanced Mechatronics |
MEAM 620 |
Robotics |
MEAM 625 |
Haptic Interfaces for Virtual Environments & Teleoperation |
ESE or CIS or MEAM 899 Independent Study
Only one Independent Study may be taken for the degree |
ESE or CIS or MEAM 999 Thesis Research |
| Note: Foundational Courses may also be used to fulfil the Technical Elective requirement. |
ROBOTICS ELECTIVES (2) |
Two Technical Elective Courses or substitution as approved by Advisor & Robotics Program Chair |
Depending on the interests and goals of the student, additional courses may be suggested by the student’s advisor.
More details about courses can be found here.
Click here for the Fall 2009 Robotics course options.
ADVISING -
Students are assigned an academic advisor from the distinguished members of the GRASP faculty. Applicants are encouraged to indicate a potential academic advisor in the personal statement section of the application. A program of study is developed with the academic advisor, who is responsible for monitoring the student's academic plan and thesis work; the thesis supervisor will be typically the academic advisor. Click here to access the Robotics Plan of Study Form.
THESIS -
Students may pursue research and write an M.S.E thesis on a suitable topic under the supervision of a GRASP faculty member (usually but not necessarily their academic advisor). The findings of the thesis should be made as a verbal presentation to the members of GRASP Lab. The thesis must be prepared and submitted following the SEAS and University of Pennsylvania requirements as outlined at www.upenn.edu/VPGE/masters.html. The student's advisor and the Robotics master's program director, Kosatas Daniilidis, will make the final approval of the thesis.
More resources at CIS Grad web page - www.cis.upenn.edu/grad/
questions - mfelker@cis.upenn.edu
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