CS Curricula

Georgia Institute of Technology Website Academic Catalog

College of Computing Department Website

Thread Degree in Devicessource 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
pick 2

Computer Structures: Hardware/Software Codesign of a Processor
CS 3220: Computer Structures: Hardware/Software Codesign of a Processor
Principles in pipelined processor design, with emphasis on the need for a close interaction between code generation and architecture.
CS 3220 (3)sys
Languages and Computation
CS 3240: Languages and Computation
Interpreters as abstract machines and the tools used to construct them, such as scanners and parsers. An introduction to models of computation as embodied by different programming languages. Limits of and relationships between these models.
CS 3240 (3)pls
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
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
Introduction to Artificial Intelligence
CS 3600: Introduction to Artificial Intelligence
An introduction to artificial intelligence and machine learning. Topics include intelligent system design methodologies, search and problem solving, supervised and reinforced learning.
CS 3600 (3)ai
Introduction to Perception and Robotics
CS 3630: Introduction to Perception and Robotics
Covers fundamental problems and leading solutions for computer and robot perception and action from the point of view of autonomous robot navigation.
CS 3630 (3)ai
Advanced Operating Systems
CS 4210: Advanced Operating Systems
Operating system abstractions and their implementations, multi-threading, efficient inter-address communication, high-level synchronization, introduction to multi-processor and distributed operating systems, real-time systems. Credit is not awarded for both CS 4210 and CS 6210.
CS 4210 (3)sys
Programming Embedded Systems
CS 4220: Programming Embedded Systems
Design principles, programming techniques, and case studies of embedded real-time systems. Interface techniques and devices. Representations and reasoning about physical processes.Credit not awarded for both CS 4220 and CS 6235.
CS 4220 (3)sys
Mobile Applications and Services for Converged Networks
CS 4261: Mobile Applications and Services for Converged Networks
This course provides an introduction to mobile applications and services with an emphasis on voice and data service integration in modern commercial networks.
CS 4261 (3)sys
Introduction to User Interface Software
CS 4470: Introduction to User Interface Software
Concepts, techniques, structures, and strategies for implementation of interactive software.
CS 4470 (3)humans
Introduction to Computer Vision
CS 4476: Introduction to Computer Vision
Introduction to computer vision including fundamentals of image formation, camera imaging geometry, feature detection and matching, stereo, motion estimation and tracking, image classification and scene understanding.
CS 4476 (3)ai
Mobile and Ubiquitous Computing
CS 4605: Mobile and Ubiquitous Computing
Investigates the infrastructure required to develop mobile and ubiquitous computing applications and establishes major research themes and experimental practices.
CS 4605 (3)sys
Pattern Recognition
CS 4616: Pattern Recognition
An introductory course on pattern classification and decision problems with applications to character recognition, image analysis, and speech recognition.
CS 4616 (3)ai
Advanced Intelligent Robotics
CS 4632: Advanced Intelligent Robotics
Hands-on course in which students program autonomous mobile robots and solve complex tasks for robot teams.
CS 4632 (3)ai
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
Robot Intelli Planning
CS 4649: Robot Intelli Planning
We investigate algorithms for robots and complex systems that make intelligent decisions. Emphasis on the theoretical and empirical properties of classical, geometric, stochastic/dynamic planning.
CS 4649 (3)ai
Pervasive Systems and Networking
CS 4685: Pervasive Systems and Networking
In-depth study of systems and wireless networking issues in enabling pervasive computing environments and applications using a hand-on approach.
CS 4685 (3)sys
Languages and Computation
CS 3240: Languages and Computation
Interpreters as abstract machines and the tools used to construct them, such as scanners and parsers. An introduction to models of computation as embodied by different programming languages. Limits of and relationships between these models.
CS 3240 (3)pls
or
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
Computer Networking I
CS 3251: Computer Networking I
Introduction to problems in computer networking, including error recovery, medium access, routing, flow control, and transport. Emphasis on current best practice. Includes programming of networked applications.
CS 3251 (3)sys
Introduction to Perception and Robotics
CS 3630: Introduction to Perception and Robotics
Covers fundamental problems and leading solutions for computer and robot perception and action from the point of view of autonomous robot navigation.
CS 3630 (3)ai
or
Mobile Applications and Services for Converged Networks
CS 4261: Mobile Applications and Services for Converged Networks
This course provides an introduction to mobile applications and services with an emphasis on voice and data service integration in modern commercial networks.
CS 4261 (3)sys
or
Introduction to Computer Vision
CS 4476: Introduction to Computer Vision
Introduction to computer vision including fundamentals of image formation, camera imaging geometry, feature detection and matching, stereo, motion estimation and tracking, image classification and scene understanding.
CS 4476 (3)ai
or
Mobile and Ubiquitous Computing
CS 4605: Mobile and Ubiquitous Computing
Investigates the infrastructure required to develop mobile and ubiquitous computing applications and establishes major research themes and experimental practices.
CS 4605 (3)sys
Prototyping Intelligent Devices
CS 3651: Prototyping Intelligent Devices
Hands-on course teaching the fundamentals of electronics of electrical and mechanical prototyping.
CS 3651 (4)
or
Embedded Systems Design
ECE 4180: Embedded Systems Design
Processors, chipsets, busses, and I/O devices for high-ended embedded systems. Embedded operating systems; device drivers and applications for embedded systems.
ECE 4180 (4)engr

Engineering Courses

Digital Design Laboratory
ECE 2031: Digital Design Laboratory
Design and implementation of digital systems, including a team design project. CAD tools, project design methodologies, logic synthesis, and assembly language programming.
ECE 2031 (2)engr

Early Preparation

Programming and Design
Numerical Methods
Linear Algebra
Dynamics and Control
Circuits and Sensor Design

Knowledge Goals

Power Management
Concurrent and Distributed Programming
Planning and Reactive Control
Synthesizing Sensors
Navigation

Skill Outcomes

Ability to design programs for resource-limited devices
Ability to implement motion planning algorithms
Ability to design and implement a simple control architecture