Scientific Computing Department

This program aims to have graduates specialized in analyzing and solving real-world problems in science. Where the student studies algorithms for simulating various operations, including image recognition and graphics. Students study computer simulations to help solve chemical and physical problems and simulate living cells for medicine, biology, physical sciences, life sciences, social sciences, medicine, and business. The student studies computational intelligence in order to design, apply and develop computational models to recognize different images and patterns.

The Scientific Computing Program at the Faculty of Computer and Information Sciences, Ain Shams University, is committed to preparing specialized cadres in the field of scientific computing and artificial intelligence applications who have a great deal of cognitive and applied skills appropriate for the labor market and scientific research in the department’s areas of specialization, in addition to establishing partnerships with educational and research bodies and institutions and cooperating with software manufacturing companies to meet the needs of the labor market in a manner consistent with the global standards of the software industry in the specialization.

• Provide concepts from basic sciences necessary to apply knowledge of computing and numerical techniques appropriate to the discipline.
• Exploit Programming paradigms and languages.
• Design and analysis of algorithms, data structures, and databases.
• Apply software system analysis, design, and engineering.
• Explore computer organization, architecture, and operating systems.
• Explain formal Languages and theory of computation.
• Provide theoretical foundations and tools of computer graphics and animation, game programming, multimedia engineering, scientific visualization, digital signal processing and computer vision.
• Explain the knowledge of modeling, simulation, and evaluation of different computing systems to meet desired needs.
• Keep in touch with state-of-the-art parallelization models, architectures, and optimization strategies.
• Solve increasingly complex computing and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms.
• Explain basic and advanced topics in machine learning, computational geometry, computational intelligence, neural networks, data security and network security.
• Understand major computer networks components, various types of computer networks, network topologies, network protocols, routing algorithms, cloud computing and network security protocols.
• Display professional and ethical responsibilities, and contextual understanding.
• Conduct scientific research in the field of scientific computing that has a direct impact on society.

The academic standards considered in the development of this program were the National Academic Reference Standards (NARS) prepared by National Authority for Quality Assurance and Accreditation of Education 2010

To download National Academic Reference Standards (NARS) Click Here