Intel presents "Make it Wearable" Challange - This is the future ...

We really NEED Cyber Security & Hardware, Firmware and Software Development here and ... everywhere ... Let's explore together!

Applied Computer Science And Cyber Security Team - (ACS + ACS = 2 * ACS) is formed by some members of the Computer Science Department - Department of Economic Informatics and Cybernetics (, of the Faculty of Cybernetics, Statistics and Economic Informatics ( from the Bucharest University of Economics ( The group's goal is to offer technological transffer to students, plus the knowledge and the assistance to understand and logically connect topics from the applied computer science fields.

The ACS Team task force handles didactic and research approaches for the following topics:

  • data structures in C/C++
  • object oriented programming in C++, Java and C#
  • assembly language programming for Intel and ARM processors
  • mobile and embedded devices software development in Java and C#
  • interpreted programming languages in Python, Ruby and PHP
  • multimedia and augmented reality programming in C/C++ - Intel Perceptual SDK/Intel OpenCV, ActionScript - Adobe Director/Flash, and Photoshop
  • distributed & parallel programming / High Throughput Computing (HTC) & High Performance Computing (HPC) for Server Clusters & Accelarators (Xeon PHI), Cloud & GRID Computing
Code Stars...Everybody should know how to program ...

The ACS team task force supports and manages post graduate projects in field of IT&C and Cyber Security, such as:

  • IT&C Security Master - in English
  • The International Conference on Security for Information Technology and Communications - SECITC
  • Advanced topics within Distributed & Parallel computing / High Throughput Computing (HTC) & High Performance Computing (HPC) using: Java EE, OpenCL, OpenMP, OpenMPI, Intel/GCC C++'11, Intel TBB, nVidia CUDA, Scala-AKKA, Apache Hadoop, Google App Engine - Cloud PaaS Java (Cloud Computing), Condor/ZeroC ICE (GRID Computing), Big Data (NoSQL DB and Map-Reduce framework - Apache Hadoop), IoT - Internet of Things - RFID/NFC tags and cards, Smart Objects - Raspberry PI and Arduino boards, Silos Gateways.

For the didactical disciplines, where the members of ACS Team are involved, it is used SAKAI CLE as platform for ACS @ DICE / DEIC e-Learning system. 

SAKAI CLE platform is powered by Sakai Project, and provided, modified, enhanced and deployed by ISM - IT&C Security Master and ACS - Applied Computer Science And Cyber Security Team for the some bachelor program's disciplines - such as Data Structures, Object Oriented Programming, Java Programming - as well as, disciplines from master program "Economic Informatics" for Distributed Applications Development - DAD, organized by DICE / DEIC - Department of Economic Informatics and Cybernetics.

SAKAI CLE - Collaboration and Learning Environment is a powerful open source Java EE solution for a reliable e-Learning Management System. Portions of Sakai CLE were developed by Cambridge University, Georgia Tech, Indiana University, Lancaster University, MIT, Oxford University, Stanford University, rSmart Corporation, The Australian National University, Unicon Corporation, Universidad Politechnica De Valencia, Universitat de Lleida, University of Cape Town, University of California Berkeley, University of Michigan, University of Toronto, and Virginia Tech.

IMPORTANT - Intel "Accelerate Your Code" International Software Contest on Parallel Programming

The summer edition of Intel International Software contest was launched in May 2013. The goal is to optimize and improve a software designed to find patterns in satellite/drone images. There’s a lot of potential usages for this kind of image data mining algorithm, we hope students will have fun. On top of the usual cluster of intel servers students can use to benchmark their code during the contest, we added Xeon PHI accelerators (240 threads, 60 cores on a PCI card). Xeon PHI are very flexible, supporting regular C/C++ code with OpenMP, MPI, TBB, OpenCL, Cilk... .
More details @

Thought of the day

"Given two people of approximately the same ability and one person who works ten percent more than the other, the latter will more than twice outproduce the former. The more you know, the more you learn; the more you learn, the more you can do; the more you can do, the more the opportunity", by Richard Hamming in "You and Your Research"