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Medium 9781601322432

Integrating Games Into the Computer Science Curriculum: From General Education to the Graduate Level

Hamid R. Arabnia; Azita Bahrami; Victor A. Clincy; Leonidas Deligiannidis; George Jandieri; Ashu M. G. Solo; and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF

Int'l Conf. Frontiers in Education: CS and CE | FECS'13 |





Robert E. Marmelstein, Eun-Joo Lee

Department of Computer Science,

East Stroudsburg University

East Stroudsburg, Pennsylvania, USA

ABSTRACT - The use of game-based projects in the computer science curriculum has the potential to make the teaching of numerous computing courses more effective and interesting. In this paper, approaches are presented for using computer games to teach computer science at different educational stages: from general education through the graduate level. In each case, we examine how the game project supports the goals of the course. Potential pitfalls and lessons learned from these teaching experiences are also addressed.


KEY WORDS - Computer Games, Artificial Intelligence,

Computer Science Education and Curriculum



Why Teach Computer Games?

For many of us, teaching computer game programming is not just a pedagogical exercise—it’s also personal because we love recreating the games we play. Likewise, many students become motivated to become computer scientist as a result of the computer games they play as children and teenagers. Beyond the challenge of playing the game, the underlying technology that makes these games work fascinates many students. In short, playing these games provides the motivation to learn how to program them. While most students may never become professional game programmers, it’s important for computer science educators to appreciate the power of the computer game as a mechanism for teaching many facets of the discipline. The following bullets illustrate the rationale for this assertion: x x

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Medium 9781601324023

Late Breaking Papers: Parallel and Distributed Processing Techniques and Applications

Edited by: Hamid R. Arabnia, Hiroshi Ishii, Kazuki Joe, Hiroaki Nishikawa, Hayaru Shouno, Lou D'Alotto, George A. Gravvanis, George Jandieri, Georgios Sirakoulis, Ashu M. G. Solo, William Spataro, Fernando G. Tinetti, Giuseppe A. Trunfio CSREA Press PDF
Medium 9781601322548

Automatic Thresholding Techniques for Alzheimer's Disease Diagnosis

Hamid R. Arabnia; Leonidas Deligiannidis; Joan Lu; Fernando G. Tinetti; Jane You; George Jandieri; Gerald Schaefer; Ashu M. G. Solo; and Vladimir Volkov (Editors) Mercury Learning and Information PDF


Int'l Conf. IP, Comp. Vision, and Pattern Recognition | IPCV'13 |

Automatic Thresholding Techniques for Alzheimer’s

Disease Diagnosis

Moumena Al-Bayati, and Ali El-Zaart

Department of Mathematics and Computer Science, Beirut Arab University

Beirut, Lebanon

Abstract - Images has become an essential role in diagnosis the diseases especially the Magnetic Resonance

Imaging(MRI). However, used(MRI)that diagnosis Alzheimer's disease is still remains a challenge, especially in the early stages, when the disease offers more chances to be treated. In this paper we present medical images diagnosis for

Alzheimer's disease using different thresholding techniques.

The used method is Otsu method ,because it is one of the most effective thresholding techniques for most real world images with regard to uniformity and shape measures. Our experiments will be as a test to determine which technique is effective in thresholding (extraction) atrophy neurons in the brain, and in the future these techniques can be very useful in detection other diseases .

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Medium 9781601322340

Learning microscopic kinetic characteristic of endosomal network by quantitative analysis of snap-shot microscopy images

Hamid R. Arabnia; Quoc-Nam Tran (Editors) Mercury Learning and Information PDF

Int'l Conf. Bioinformatics and Computational Biology | BIOCOMP'13 |


Learning microscopic kinetic characteristic of endosomal network by quantitative analysis of snap-shot microscopy images

Yannis Kalaidzidis1, Lionel Foret2,3, Jonathan E. Dawson2, Roberto Villaseñor 1, Frank Jü licher 3,

Marino Zerial1


Max-Planck-Institute of Molecular Cell Biology and Genetics, Dresden, Germany


Max-Planck-Institute for the Physics of Complex Systems, Dresden, Germany


Laboratoire de Physique Statistique, Ecole Normale Supérieure, Paris, France

Abstract - Receptor-mediated endocytosis is a mechanism for import and distribution of nutrient and signaling cargo into a series of intracellular organelles, endosomes, with distinct biochemical characteristics. Endosomes form a dynamic network by undergoing fusion and fission, exchanging and redistributing cargo. Direct learning dynamic characteristic of individual endosomes in live cells is challenging problem.

We have developed model to derive endocitic cargo traffic properties from microscopic dynamic of individual endosomes

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Medium 9781601322470

Specializing the Logic of Multiple-Valued Argumentation to the Jaina Seven-Valued Logic

Hamid R. Arabnia; David de la Fuente; Elena B. Kozerenko; Peter M. LaMonica; Raymond A. Liuzzi; Todd Waskiewicz; George Jandieri; Ashu M. G. Solo; Ivan Nunes da Silva; Fernando G. Tinetti; and Fadi Thabtah (Editors) Mercury Learning and Information PDF


Int'l Conf. Artificial Intelligence | ICAI'13 |

Specializing the Logic of Multiple-Valued Argumentation to the Jaina Seven-Valued


Shogo Ohta

Hajime Sawamura

Graduate School of Science and Technology, Niigata University Institute of Science and Technology, Niigata University

Niigata, Japan

Niigata, Japan s-ohta@cs.ie.niigata-u.ac.jp sawamura@ie.niigata-u.ac.jp

Takeshi Hagiwara

Jacques Riche

Institute of Science and Technology, Niigata University

Department of Computer Science, Katholieke Universiteit Leuven

Niigata, Japan

Leuven, Belgium hagiwara@ie.niigata-u.ac.jp riche@cs.kuleuven.ac.be

Abstract—Argumentation is a dialectical process of knowing things (inquiry) and justifying them (advocacy) in general.

Computational argumentation has been recognized as a social computing mechanism or paradigm in the multi-agent systems community. We have developed a computational argumentation framework that basically consists of EALP (Extended

Annotated Logic Programming) and LMA (Logic of Multiplevalued Argumentation) constructed on top of EALP. EALP is a very generic knowledge representation language for uncertain arguments, and LMA built on top of it also yields a generic argumentation framework so that it allows agents to construct uncertain arguments under truth values specified depending on application domains.

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