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Who is computer science graduate student Lynette Davis?

Who is computer science graduate student Lynette Davis?

Lynette Davis, a graduate student pursuing dual degrees in computer science and ocean mapping… The M.S. program is designed to help students increase the breadth and depth of their computer science knowledge, strengthen their software development skills, and build their research skills.

Are there too many students going into computer science?

Modern jobs require both strong skills and the ability to learn new things quickly – they are not like jobs in a fast food restaurant. Some students just won’t have sufficient skills, motivation, and commitment.

How old do you have to be to take GRE for Computer Science?

GRE General test scores are normally required but may be waived for students who have taken computer science courses at UNH. If required, request official test scores to be sent directly to the Graduate School by the testing service. Test scores more than five years old are not acceptable.

What are the requirements for CS 998 independent study?

At most one can be CS 998 Independent Study. The student must complete a project under the supervision of a faculty adviser. Two must be implementation intensive (see list below). At least two courses must be chosen from each of three different breadth areas (see list below).

Modern jobs require both strong skills and the ability to learn new things quickly – they are not like jobs in a fast food restaurant. Some students just won’t have sufficient skills, motivation, and commitment.

What can I do with an intelligent system degree?

Getting proficient with Linux is good to do as well. Currently there is strong industry demand for people who understand intelligent systems technology and know how to apply it to real-world problems. Graduates in this area can work in academia, national and government labs, and industry companies such as Google, Microsoft, Intel, IBM).

When did the study of computer science begin?

The study of how computers can understand and interpret visual information from static images and video sequences emerged in the late 1950s and early 1960s. It has since grown into a powerful technology that is central to the country’s industrial, commercial, and government sectors.

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