Skip to content. Skip to navigation

Home

Sections
BS Computer Science - Threads
Personal tools
Document Actions

Modeling & Simulation Thread


The modeling & simulation thread is intended for students interested in developing a deep understanding and appreciation of how natural and human-generated systems such as weather, biological processes, supply chains, or computers, can be represented by mathematical models and computer software. Such models are widely used today to better understand and predict the behavior of such systems. Because these models are often described and represented by mathematical expressions, and the models themselves often deal with physical phenomena, a background in mathematics and the sciences is required. Combining this background with a deep knowledge in computer science will yield the basic tools necessary to transform abstract conceptual models to computer programs that execute efficiently on digital machines. The required coursework in this thread includes topics in continuous and discrete mathematics, the sciences, and computing. Elective courses enable students to further develop and apply their knowledge and skills to a specific discipline where modeling & simulation plays an important role.

The student who pursues modeling & simulation can combine it with intelligence to become a data miner, or with media to build visualizations of large amounts of scientific data, or people to build work flow systems that scientists who aren't computing experts can use, or ....

Modeling & Simulation

Early Preparation
  • Combinatorics
  • Numerical Methods
  • Linear Algebra
  • Probability and Statistics
  • Discrete structures, graph theory
  • Object-oriented design and programming
Knowledge Goals
  • Understanding statistical inference, i.e. building optimal models from noisy and complex data
  • Understanding computational methods for dealing with massive and high-dimensional datasets
  • Facility with numerical methods, i.e. algorithms for dealing with continuous functions
  • Facility with performing massive-scale computations
Skill Outcomes
  • Be able to build models from data, such as images (eg. recognize faces), data streams (eg. find patterns in the stock market), text data (eg. infer the topics of documents), or genomes (eg. discover the functions of genes)
  • Be able to simulate and predict highly complex natural processes such as weather dynamics or flame propagation
  • Be able to simulate and predict highly complex artificial processes such as the internet or economies
  • Be able to implement mathematics on a computer
  • Be able to use a computer to do science


Resources and Role Models


If you are following one of the BSCS Threads study plans implemented before Summer 2008 or one of the BSCS study plans that were in place prior to Threads, click here.

Required Courses

Although not required, we recommend four Lab Sciences rather than just three: PHYS I and PHYS II along with two additional courses in Chemistry, Biology, and/or Earth and Atmospheric Sciences.

  • CS1050 Understanding and Constructing Proofs, 3
  • CS1171 Introductory Computing in MATLAB, 1
  • CS1301 Introduction to Computing and Programming, 3
  • CS1331 Introduction to Object-oriented Programming, 3
  • CS1332 Data structures and algorithms, 3
  • CS2110 Computing organization and programming, 4
  • CS2200 Computer systems and networks, 4
  • CS2340 Objects and Design, 3
  • CS3510 Design and analysis of algorithms, 3
  • MATH2403 Differential Equations, 4


Pick 2 of Computational Science and Engineering

  • CSE4140 Computational Modeling Algorithms, 3
  • CSE4220 Introduction to High Performance Computing, 3
  • CSE4240 Introduction to Data Mining and Analysis, 3
  • CSE4330 Computer Simulation, 3
  • CSE4240 Numerical Analysis I, 3 requires MATH2403 or 2413 or 1602


Elective Courses

Although not required, we recommend taking 6 hours from Advanced Computational Methods and Software and 9 hours from Computational Modeling Applications.


Free Electives (6 hours)

  • FREE-CM1 Free Elective-Modeling and Simulation, 3
  • FREE-CM2 Free Elective-Modeling and Simulation, 3


Pick 2 Advanced Computational Methods and Software

  • CSE4140 Computational Modeling Algorithms, 3
  • CSE4220 Introduction to High Performance Computing, 3
  • CSE4240 Introduction to Data Mining and Analysis, 3
  • CSE4330 Computer Simulation, 3
  • CSE4640 Numerical Analysis I, 3
  • CSE4641 Numerical Analysis II, 3
  • CSE4230 Distributed Simulation, 3
  • CSE4342 Simulation, and Military Gaming, 3
  • MATH4255 Monte Carlo Methods, 3 (Requires MATH 3215 and CS1331)
  • CS2335 Software Practicuum, 3
  • CS3220 Computer structures: HW/SW codesign of a processor, 3
  • CS3451 Computer Graphics, 3 (Must come after MATH2605 and CS2110 or CS2260)
  • CS3600 Introduction to Artificial Intelligence, 3
  • CS4210 Advanced Operating Systems, 3
  • CS4230 Distributed Simulation Systems, 3
  • CS4495 Computer Vision, 3
  • CS4496 Computer Animation, 3
  • CS4550 Scientific Data Processing and Visualization, 3 (Requires CS3451)
  • CS4641 Machine Learning, 3
  • CS4777 Vector and Parallel Scientific Computing, 3
  • ISYE4331 Honors Optimization, 3 (Requires CS1322 and MATH2602)
  • ISYE2028 Basic Statistics Methods, 3 (Requires ISYE2027 and CS1322)
  • ME2016 Computing Techniques, 3
  • CHBE2120 Numerical Methods, 3 (Requires CHBE2100 Chemical Processes (must use free electives)


Pick 9 hours from Applications:

  • (Pick 9 hours from) Aerospace Engineering
  • (Pick 9 hours from) Digital Signal Processing
  • (Pick 9 hours from) Modeling and Simulation in Industrial Engineering
  • (Pick 9 hours from) Computational Biology/Bioinformatics
  • (Pick 9 hours from) Geoscience


Aerospace Engineering

  • AE1350 Introduction to Aerospace Engineering, 2
  • AE4375 Fundamentals of Computer-Aided Engineering and Design, 3 (Requires CS1331 and Math2403)
  • PHYS3266 Computational Physics, 4 (Requires PHYS2212)


Digital Signal Processing

  • ECE4271 Applications of Digital Signal Processing, 3 (Requires ECE4270)
  • ECE4270 Fundamentals of Digital Signal Processing, 3 (Requires ECE3075)
  • ECE3075 Random Signals, 3 (Requires ECE2025 and MATH3770)
  • ECE3025 Electromagnetics, 3 (Requires ECE2040 Digital Design Lab and MATH2401 and MATH2403)


Modeling and Simulation in Industrial Engineering

  • ISYE2030 Modeling in Industrial Engineering, 3 (Prereq ISYE2027 Probability with Applications, coreq ISYE2028 Basic Statistical Methods (use free electives))
  • ISYE4231 Engineering Optimization, 3 (Requires CS1322 and MATH2602)
  • ISYE3044 Simulation Analysis and Design, 3 (Requires ISYE2028 Basic Statistical Methods and ISYE3232 Stochastic Manufacturing and Service Systems. (Use free electives))
  • ISYE3232 Stochastic manufacturing and service systems, 3 (Requires ISYE2027 Probability with Applications)


Biology / Chemistry

  • BIOL2400 Mathematical Models in Biology, 3 (Requires MATH1502)
  • BIOL4400 Experimental Design and Statistical Methods in Biology, 4 (Requires BIOL2400 and ISYE2028)
  • CHBE2100 Chemical Process Principles, 3 (Requires CHEM1310 and MATH1502)


Geoscience

  • EAS4610 Earth System Modeling, 3
  • EAS4630 and EAS4655 can also satisfy EAS pre/co-requisite
  • EAS3620 Geochemistry, 4 (Requires CHEM 1312)
  • EAS4630 Physics of the Earth, 3
  • EAS4655 Atmospheric Dynamics, 3
  • EAS4602 Biochemical Cycles, 3
  • EAS4803 Water Chemistry Modeling, 3 (Requires EAS3620)
  • PHYS3266 Computational Physics, 4 (Requires PHYS2212)



Contact Us |  RSS Feeds |  Job Opportunities |  Map/Directions |  Intranet |  Georgia Tech Home

© 2005-2007 The College of Computing at Georgia Tech :: Atlanta, Georgia 30332