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Assertions identifying with our future exercises or other future occasions

 Safe Harbor Statement: Statements in this news delivery might be "forward-looking proclamations". Forward-looking explanations incorporate, however are not restricted to, proclamations that express our aims, convictions, assumptions, methodologies, expectations or some other assertions identifying with our future exercises or other future occasions or conditions. These assertions depend on current assumptions, evaluations and projections about our business based, to a limited extent, on suppositions made by the executives.  These assertions are not certifications of future execution and include dangers, vulnerabilities and suspicions that are hard to anticipate. Consequently, real results and results may, and are probably going to, vary substantially based on what is communicated or guage in forward-looking explanations because of various components. Any forward-looking assertions talk just as of the date of this news delivery and iQSTEL Inc. embraces no commitment to refres...
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Penn State Abington announces new major in computer science

Penn State Abington announced a new bachelor of science degree in computer science, bringing the total number of bachelor’s degrees that can be completed at Abington to 21.

The goal of the Computer Science Program at Abington is to provide students with a firm grounding in the fundamentals of computer science and its applications.

Students complete foundational courses in programming, computer architecture, computer organization, and discrete math. Following that, they receive comprehensive training in the areas of data structures, algorithm design and analysis, systems programming, programming languages, operating systems, and software engineering and design.

The program provides students with a solid background in both the theoretical and practical skills needed in real-world jobs. For example, computer science vs computer engineering courses train students to understand the processes of solving computational problems through the design, implementation, testing, and evaluation of efficient and robust computer programs.
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