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Comp Courses Unc

Comp Courses Unc - • comp 293, earning credit for appropriate work experience; With an emphasis on modern applications in society, students gain experience with problem decomposition, algorithms for data analysis, abstraction design, and ethics in computing. Introduces students to programming and data science from a computational perspective. All comp courses at the university of north carolina at chapel hill (unc) in chapel hill, north carolina. No prior programming experience expected. Majors receive rigorous training in the foundations of computer science and the relevant mathematics, then have ample. Prerequisite, a c or better in one of the following courses: The cs bs curriculum is such that you will have all the prerequisites needed to learn any other course thereafter in the field of computer science. I am happy to add any departments that are missing from these listings, just reach out to ask! Comp 293, earning credit for appropriate work experience;

For a complete listing and descriptions of all of the department’s courses, please refer to the undergraduate bulletin and the graduate record. For a full list of courses offered for the current semester, please click here. Introduces students to programming and data science from a computational perspective. • comp 495, conducting mentored research with a faculty member; Prerequisites, comp 301 and 311; The cs bs curriculum is such that you will have all the prerequisites needed to learn any other course thereafter in the field of computer science. There are typically changes after the deadline for the published directory of classes. Click here to show class descriptions. The bs will require 50 credit hours from 16 courses, including 5 required and 5 elective courses in the economics department. Comp 495, conducting mentored research with a faculty member;

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The Cs Bs Curriculum Is Such That You Will Have All The Prerequisites Needed To Learn Any Other Course Thereafter In The Field Of Computer Science.

Or comp 401, 410, and 411; With an emphasis on modern applications in society, students gain experience with problem decomposition, algorithms for data analysis, abstraction design, and ethics in computing. No prior programming experience expected. Links to previous course home pages.

Comp 293, Earning Credit For Appropriate Work Experience;

Click here to hide them. Introduces students to programming and data science from a computational perspective. • comp 227, earning credit for serving as an undergraduate learning assistant; Feel free to contact me with any questions/comments/issues.

Prerequisites, Comp 301 And 311;

For a complete listing and descriptions of all of the department’s courses, please refer to the undergraduate bulletin and the graduate record. • comp 495, conducting mentored research with a faculty member; This course is an introduction to digital logic as well as the structure and electronic design of modern processors. With an emphasis on modern applications in society, students gain experience with problem decomposition, algorithms for data analysis, abstraction design, and ethics in computing.

• Comp 293, Earning Credit For Appropriate Work Experience;

Here is information about comp class enrollment for fall 2024. A grade of c or better is required in all prerequisite courses. Comp 293, earning credit for appropriate work experience; Comp 495, conducting mentored research with a faculty member;

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