Dual Enrollment

MATH 1554: Linear Algebra (Fall)

MATH 1554 is a four-credit course that introduces students to linear algebra. Students will explore fundamental concepts of this subject that has an essential role in applications of linear algebra to many areas of industry, science, and engineering. We will explore systems of linear equations and a systematic method for solving them, subspaces, determinants, eigenvalues, orthogonality, and the singular value decomposition. Applications of linear algebra to computer graphics, economics, Google PageRank, and least-squares. 
 

MATH 2551: Multivariable Calculus (Spring)​​​​​​​

MATH 2551 is a four-credit course that extends concepts that students encountered in linear algebra and differential and integral calculus to functions of several variables. This course explores the calculus of vector functions, derivatives, and integrals of functions of several variables, and integral theorems that are widely used in engineering and physics. Applications that are explored include constrained optimization, center of mass, Jacobians, line integrals, circulation, and flux.
 

MATH 3012: Applied Combinatorics (Fall)

MATH 3012 is a three-credit course that explores counting methods, solving linear recurrences, graph and network models, related algorithms, and combinatorial designs. Applications that are explored include sorting, spanning trees, shortest paths, Eulerian circuits, graph coloring, planarity testing and network flows. Students will explore fundamental concepts and algorithms in computer science and engineering that have applications in complex practical problems in areas such as scheduling, vehicle routing, supply-chain optimization, and resource allocation. A final project gives students an opportunity to explore the application of applied combinatorics to a topic of their choice.
 

MATH 2552: Differential Equations (Spring)

MATH 2552 is a four-credit course that focuses on the techniques used to model and analyze relationships between changing quantities. As rates of change are often represented mathematically by derivatives, such models often involve equations relating an unknown function and one or more of its derivatives. Such equations are differential equations, which are the focus of this course. Students will apply techniques of solving differential equations to solve first and higher order differential equations that model spring-mass systems, heat flow, mechanics, and population biology. A final project gives students an opportunity to explore the application of differential equations to a topic of their choice.
 

This introductory computer science course teaches students foundational computing principles, including how to write and read computer code and how to run and debug code. This innovative online course includes recorded lectures, optional recitations, and online discussion forums. Students learn to program in Python. They take four proctored exams at the time of their choosing, each within its own four-day window.

If students receive credit at Georgia Tech with a score of 4 or 5 on the AP Computer Science A exam, this is the course for which they get credit.

The CS 1301 course covers the following topics:

• The fundamental design cycle of computer science and computer programming: writing code, executing it, interpreting the results, and revising the code syntax based on the outcomes.
• Usage of the fundamental atoms of programming: variables, mathematical operators, logical operators, and boolean arithmetic.
• Control structures for developing dynamic programs, including Python libraries: conditionals, loops, functions, and error handling.
• The core data structures for creating useful programs: strings, lists, dictionaries, and file manipulation.
• Previews of the next big topics in computer science: object-oriented programming skills, and computer algorithms.

This course offers an introduction to techniques and methods of object-oriented programming such an encapsulation, inheritance, and polymorphism. Emphasis on software development and individual programming skills. Pre-requisite: CS 1301.

The CS 1331 course covers the following topics:

• Foundational basics of the Java programming language
• Basics of object-oriented programming and algorithms
• Creating and using exceptions, data structures, recursion, and graphical user-interfaces (GUIs)