The College of Computing has built a reputation for providing challenging courses and an overall rewarding academic experience at all levels. In the undergraduate program, the College awards bachelor's degrees in computer science, and in the graduate program, the College offers master's and doctoral degrees in computer science. The College offers an undergraduate certificate in Information Systems jointly with the DuPree College of Management and an undergraduate minor and undergraduate and graduate certificates in Cognitive Science jointly with the Schools of Psychology and Industrial and Systems Engineering.

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  • Temporal Heterogeneity and the Value of Slowness in Robotic Systems 

    Arkin, Ronald C.; Egerstedt, Magnus B. (Georgia Institute of Technology, 2015-12)
    Robot teaming is a well-studied area, but little research to date has been conducted on the fundamental benefits of heterogeneous teams and virtually none on temporal heterogeneity, where timescales of the various platforms ...
  • Formal Performance Guarantees for Behavior-Based Localization Missions 

    Lyons, Damian M.; Arkin, Ronald C. (Georgia Institute of Technology, 2016-11)
    Localization and mapping algorithms can allow a robot to navigate well in an unknown environment. However, whether such algorithms enhance any specific robot mission is currently a matter for empirical validation. In this ...
  • Approximation Schemes for Planar Graphs: A Survey of Methods 

    Klein, Philip (2017-03-27)
    In addressing an NP-hard problem in combinatorial optimization, one way to cope is to use an approximation scheme, an algorithm that, for any given ϵ>0, produces a solution whose value is within a 1+ϵ factor of optimal. ...
  • A Computer Science View of the Brain 

    Vempala, Santosh (Georgia Institute of Technology, 2017-03-15)
    Computational perspectives on scientific phenomena have often proven to be remarkably insightful. Rapid advances in computational neuroscience, and the resulting plethora of data and models highlight the lack of an ...
  • Optimal Sensory Coding Theories for Neural Systems Under Biophysical Constraints 

    Rozell, Christopher (Georgia Institute of Technology, 2017-03-15)
    The natural stimuli that biological vision must use to understand the world are extremely complex. Recent advances in machine learning have shown that low-dimensional geometric models (e.g., sparsity, manifolds) can ...
  • Neural Computations for Active Perception 

    Olshausen, Bruno (Georgia Institute of Technology, 2017-03-15)
    The human visual system does not passively view the world, but actively moves its sensor array through eye, head and body movements. How do neural circuits in the brain control and exploit these movements in order to build ...
  • Physics of the Medical Record 

    Hripcsak, George (2017-03-16)
    Dr. George Hripcsak will discuss the national push for electronic health records that will make an unprecedented amount of clinical information available for research, with approximately one billion patient visits documented ...
  • Ten Steps of EM Suffice for Mixtures of Two Gaussians 

    Daskalakis, Constantinos (2017-03-06)
    The Expectation-Maximization (EM) algorithm is a widely used method for maximum likelihood estimation in models with latent variables. For estimating mixtures of Gaussians, its iteration can be viewed as a soft version of ...
  • Inferring Host-Pathogen Interactions from Diverse Data Sources 

    Craven, Mark (2017-03-02)
    Dr. Craven discusses work in several studies that involve developing and applying predictive methods in order to characterize host-pathogen interactions. In the first study, we are focused on inferring host subnetworks ...
  • Use Cases of Big Data for Pharma 

    Dilley, Cynthia (2017-02-16)
  • Genesis of ETH and SETH 

    Paturi, Ramamohan (2017-02-13)
    Several researchers have found ETH (Exponential Time Hypothesis) and Strong ETH to be useful and proved matching lower bounds for several problems in P as well as NP based on these conjectures. In this talk, I will talk ...
  • Accelerating program analyses by cross-program training 

    Kulkarni, Sulekha Raghavendra (Georgia Institute of Technology, 2016-11-30)
    Practical programs share large modules of code. However, many program analyses are ineffective at reusing analysis results for shared code across programs. We present POLYMER, an analysis optimizer to address this problem. ...
  • Middleware for large scale in situ analytics workflows 

    Dayal, Jai (Georgia Institute of Technology, 2016-11-17)
    The trend to exascale is causing researchers to rethink the entire computa- tional science stack, as future generation machines will contain both diverse hardware environments and run times that manage them. Additionally, ...
  • Automated iterative game design 

    Zook, Alexander (Georgia Institute of Technology, 2016-12-06)
    Computational systems to model aspects of iterative game design were proposed, encompassing: game generation, sampling behaviors in a game, analyzing game behaviors for patterns, and iteratively altering a game design. ...
  • Understanding visual analysis processes from user interactions using visual analytics 

    Han, Yi (Georgia Institute of Technology, 2016-11-15)
    Understanding the visual analysis process taken by people when using a visualization application can help its designers improve the application. This goal is typically achieved by observing usage sessions. Unfortunately, ...
  • Replicating experiments from educational psychology to develop insights into computing education: cognitive load as a significant problem in learning programming 

    Morrison, Briana Baker (Georgia Institute of Technology, 2016-11-15)
    Students often find learning to program difficult. This may be because the concepts are inherently difficult due to the fact that the elements of learning to program are highly interconnected. Instructors may be able to ...
  • Applications of sequential mining and data modeling for personalized medicine 

    Malhotra, Kunal (Georgia Institute of Technology, 2016-11-11)
    Healthcare data modeling and analytics as an area of study has gathered momentum especially after the increased adoption of Electronic Health Records (EHRs) by various provider facilities. Clinicians are getting valuable ...
  • Frame, rods and beads of the edge computing abacus 

    Bhardwaj, Ketan (Georgia Institute of Technology, 2016-11-15)
    Emerging applications enabled by powerful end-user devices and 5G technologies, pose demands for reduced access latencies to web services and dramatic increase in the back-haul network capacity. In response, edge computing---the ...
  • Push and pull menus for auditory interfaces 

    Wilson, Jeffrey Brian (Georgia Institute of Technology, 2016-11-11)
    Auditory display is an often underutilized interface modality for conveying information to a user. However, audio has previously proven effective in a variety of use cases for information presentation and is particularly ...
  • Voxel-based offsetting at high resolution with tunable speed and precision using hybrid dynamic trees 

    Hossain, Mohammad Moazzem (Georgia Institute of Technology, 2016-11-11)
    In the recent years, digital manufacturing has experienced the wave of rapid prototyping through the innovation and ubiquity in 3D printing technology. While such advancement liberates the constraints of shape selection ...

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