Department of Computer Science
College of Computer, Mathematical, and Natural Sciences
The University of Maryland at College Park
CMSC 838M (Spring 2025): Physically-based Modeling, Simulation and Animation
CMSC 838M (Spring 2025): Physically-based Modeling, Simulation and Animation
Cool AI-Empowered Simulation!!!
- Time and Place: Tues/Thur 2:00pm - 3:15pm, CSIC 2117
- Zoom Link: https://umd.zoom.us/j/97896015510?pwd=Ds9zTU3nkvURQD4rrFUllr7SnVBxJt.1
- Office Hours: Tues/Thur After Class
- Prerequisites:CMSC 330, CMSC 351 AND
Scientific Computing OR Instructor's approval
- Breadth Areas:
AREA 2 - Information Processing (AI/ML/CV/CG)
and
AREA 3 - Software Engineering & Programming Languages (SE/PL/HCI)
- Textbook: Course Notes and Electronic Handouts
- TA: Shrey Patel (pshrey@umd.edu):
Office Hours: By Appointment, Location: IRB 5108, Timings: Monday to Thursday, 5-8 pm and Friday, 9 am - 12 pm
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COURSE OVERVIEW:
Physically-based modeling and simulation attempts to map a natural
phenomena to a computer simulation program. There are two basic processes
in this mapping: mathematical modeling and
numerical solution. The goal of
this introductory course is to understand both of them. The mathematical
modeling
concerns the description of natural phenomena by
mathematical equations. Differential equations that govern dynamics
and geometric representation of objects are typical
ingredients of the mathematical model.
The numerical solution involves computing an efficient and accurate
solution of the mathematical equations. Finite precision of numbers,
limited computational power and memory forces us to approximate the
mathematical model with simple procedures.
In this course, we will study various techniques to simulate the physical
and mechanical behavior of objects in a graphical simulation or a virtual
environment. Students will learn about implementation of basic simulation
programs that produce interesting results and verify its correctness. The
course will cover three basic components in physically-based modeling and
simulation:
The goal of this class is to get students an appreciation of
computational methods for modeling of motions in the physical and
virtual world. We will discuss various considerations and tradeoffs
used in designing simulation methodologies (e.g. time, space, robustness,
and generality). This will include data structures, algorithms,
computational methods and simulation techniques, their complexity
and implementation. The lectures will also cover some applications of
physically-based modeling and simulation to the following areas:
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LECTURES AND APPROXIMATE SCHEDULE
Here is a list of TENTATIVE lecture topics (subject to
changes). Schedule and information on each topic (e.g. readings, web
pointers) will be added during the semester before each class.
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COURSE READING MATERIALS
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ASSIGNMENTS AND PROJECTS
The class grade of each student taking 3-credits is determined by
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For more information, contact
Ming C. Lin,
lin@cs.umd.edu.
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