Thread Degree in Modeling & Simulationsource 1 source 2

0 units needed for graduation.

CS Courses

Introduction to Computing
CS 1301: Introduction to Computing
Introduction to computing principles and programming practices with an emphasis on the design, construction and implementation of problem solutions use of software tools.
CS 1301 (3)intro
Introduction to Object Oriented Programming
CS 1331: Introduction to Object Oriented Programming
Introduction to techniques and methods of object-oriented programming such an encapsulation, inheritance, and polymorphism. Emphasis on software development and individual programming skills.
CS 1331 (3)intro
Data Structures and Algorithms for Applications
CS 1332: Data Structures and Algorithms for Applications
Computer data structures and algorithms in the context of object-oriented programming. Focus on software development towards applications.
CS 1332 (3)intro
Introduction to Discrete Mathematics for Computer Science
CS 2050: Introduction to Discrete Mathematics for Computer Science
Proof methods, strategy, correctness of algorithms over discrete structures. Induction and recursion. Complexity and order of growth. Number theoretic principles and algorithms. Counting and computability. Credit not allowed for both CS 2050 and CS 2051.
CS 2050 (3)math
or
Honors - Induction to Discrete Mathematics for Computer Science
CS 2051: Honors - Induction to Discrete Mathematics for Computer Science
Proof methods, strategy, correctness of algorithms over discrete structures. Induction and recursion. Complexity and order of growth. Number theoretic principles and algorithms. Counting and computability. Credit not allowed for both CS 2051 and CS 2050.
CS 2051 (3)math
Computer Organization and Programming
CS 2110: Computer Organization and Programming
An introduction to basic computer hardware, machine language, assembly language, and C programming.
CS 2110 (4)sys
Computer Systems and Networks
CS 2200: Computer Systems and Networks
A broad exposure to computer system structure and networking including software abstractions in operating systems for orchestrating the usage of the computing resources.
CS 2200 (4)sys
Objects and Design
CS 2340: Objects and Design
Object-oriented programming methods for dealing with large programs. Focus on quality processes, effective debugging techniques, and testing to assure a quality product.
CS 2340 (3)intro
Design and Analysis of Algorithms
CS 3510: Design and Analysis of Algorithms
Basic techniques of design and analysis of efficient algorithms for standard computational problems. NP-Completeness. Credit not allowed for both CS 3510 and CS 3511.
CS 3510 (3)algs
or
Design and Analysis of Algorithms, Honors
CS 3511: Design and Analysis of Algorithms, Honors
Techniques of design and analysis of efficient algorithms for standard computational problems. NP-Completeness Project. Credit not allowed for both CS 3511 and CS 3510.
CS 3511 (3)algs
pick 2

Machine Learning
CS 4641: Machine Learning
Machine learning techniques and applications. Topics include foundational issues; inductive, analytical, numerical, and theoretical approaches; and real-world applications.
CS 4641 (3)ai
Computational Modeling Algorithms
CX 4140: Computational Modeling Algorithms
Design, analysis and implementation of algorithms for modeling natural and engineered systems; algorithm experimentation, and optimization.
CX 4140 (3)
Introduction to High Performance Computing
CX 4220: Introduction to High Performance Computing
Design of algorithms and software for high performance computing platforms used in computational science and engineering. Topics include parallelism, locality, machine architectures, and programming.
CX 4220 (3)
Computer Simulation
CX 4230: Computer Simulation
Algorithms and techniques for creating computer simulations and their realization in software.
CX 4230 (3)
Numerical Analysis I
CX 4640: Numerical Analysis I
Introduction to numerical algorithms for some basic problems in computational mathematics. Discussion of both implementation issues and error analysis.
CX 4640 (3)
7 units from

relevant electives from CS, engineering, and bio/chem/geoscience

Math/Stat Courses

Differential Equations
MATH 2552: Differential Equations
Methods for obtaining numerical and analytic solutions of elementary differential equations. Applications are also discussed with an emphasis on modeling. Credit not awarded for both MATH 2552 and MATH 2403 or MATH 2413 or MATH 2562.
MATH 2552 (4)math
or
Honors Differential Equations
MATH 2562: Honors Differential Equations
The topics covered parallel those of MATH 2552 with a somewhat more intensive and rigorous treatment.
MATH 2562 (4)math

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

CS Curricula

Georgia Institute of Technology Website Academic Catalog

College of Computing Department Website

Thread Degree in Modeling & Simulationsource 1 source 2

CS Courses

Math/Stat Courses

Early Preparation

Knowledge Goals

Skill Outcomes

Thread Degree in Modeling & Simulationsource 1source 2

CS Courses

Math/Stat Courses

Early Preparation

Knowledge Goals

Skill Outcomes

Thread Degree in Modeling & Simulationsource 1 source 2