Courses

    Introduces curriculum, learning techniques, time management and career opportunities in Computer Science. Includes presentations from alumni and others with relevant educational and professional experience. Prerequisites: Restricted to students with 0-26 credits (Freshmen) only.

    Introduces the fundamental principles of computer science using an on-line virtual world called Second Life as the "Laboratory" for the course. Students will learn how to program by creating objects of interest in Second Life. In-class and in-world discussions and readings will introduce the student to important ideas and concepts that shape the field of computer science. Same as ATLS 1220.

    Introduces and explores the "Computational style of thinking" and its influence in science, mathematics, engineering and the arts. The course does not focus on the nuts and bolts of any particular programming language, but rather on the way in which computing has affected human culture and thought in the past half century. Same as ATLS 1240.

    Teaches techniques for writing computer programs in higher level programming languages to solve problems of interest in a range of application domains. This class is intended for students with little to no experience in computing or programming.

    Studies data abstractions (e.g., stacks, queues, lists, trees) and their representation techniques (e.g., linking, arrays). Introduces concepts used in algorithm design and analysis including criteria for selecting data structures to fit their applications. Prerequisites: Requires prerequisite courses of CSCI 1300 or ECEN 1030 or ECEN 1310 and APPM 1345 or APPM 1350 or MATH 1300 or MATH 1310 (all minimum grade C-).
    Covers how programs are represented and executed by modern computers, including low-level machine representations of programs and data, an understanding of how computer components and the memory hierarchy influence performance. Prerequisites: Requires prerequisite course of CSCI 2270 (minimum grade C-).
    Introduces the fundamentals of linear algebra in the context of computer science applications. Includes vector spaces, matrices, linear systems, and eigenvalues. Includes the basics of floating point computation and numerical linear algebra. Prerequisites: Requires prerequisite courses of CSCI 2270 and APPM 1360 or MATH 2300 (all minimum grade C-).

    Covers topics of interest in computer science at the sophomore level. Content varies from semester to semester.

    Offers selected topics at the elementary level for students with little or no previous computing experience.

    Examines the development of new venture creation from the entrepreneur's perspective. Provides an understanding of the entire process including opportunity identification, feasibility study, fundraising, organization, team creation, and exit strategies through case studies, oral and written presentations, and outside speakers. Taught by an experienced entrepreneur. Prerequisites: Requires prerequisite course of CSCI 2270 (minimum grade D-). Restricted to students with 57-180 credits (Juniors or Seniors).

    Provides an overview of current research topics in computational biology and health informatics, with a focus on research conducted on campus. Each week students will attend an on-campus seminar or a presentation by an on-campus research group. Prepares students to participate in a research project. CSCI 4810 and 6810 are the same course.

    Covers topics of interest in computer science at the senior undergraduate level. Content varies from semester to semester. May be repeated up to 9 total credit hours. Prerequisites: Requires prerequisite course of CSCI 2400 (minimum grade C-).
    Provides opportunities for independent study at the upper-division undergraduate level. Students work on a small research problem or tutor lower-division computer science students. Prerequisites: Requires prerequisite course of CSCI 1200 or CSCI 1300 (minimum grade D-).
    Provides an opportunity for senior computer science majors to conduct exploratory research in computer science. Department enforced prereqs., successful completion of a minimum of 36 credit hours of Computer Science Foundation, Track Foundation, Track Core, and Computer Science electives, and WRTG 3030. May be repeated up to 8 total credit hours. Prerequisites: Restricted to students with 87-180 credits (Senior, Fifth Year Senior).
    Provides opportunities for independent study at the master's level. Prerequisites: Restricted to Computer Science (CSEN) graduate students only or Computer Science Concurrent Degree majors only.
    Instructs new Ph.D students in Computer Science how to obtain a Ph.D and how to become an effective member of the computer science research community. Makes students aware of formal requirements, educational objectives, and research themes. Provides evaluative criteria and guidelines for all objectives to be achieved. Prerequisites: Restricted to graduate students only.
    Students seeking the master of engineering degree must complete a creative investigation project, including a written report, supervised by a member of the graduate faculty. Department enforced prereq., completion of 21 hours towards the ME degree. Prerequisites: Restricted to graduate student Computer Sciences (CSEN) students only.

    Provides an overview of current research topics in computational biology and health informatics, with a focus on research conducted on campus. Each week students will attend an on-campus seminar or a presentation by an on-campus research group. Prepares students to participate in a research project. CSCI 4810 and 6810 are the same course.

    For students who need to be registered for the purpose of taking the master's comprehensive exam and who are not otherwise registered. Credit does not count toward degree requirements. Graded on a pass/fail basis. Prerequisites: Restricted to Computer Science (CSEN) graduate students only or Computer Science Concurrent Degree majors only.
    Prerequisites: Restricted to Computer Science (CSEN) graduate students only or Computer Science Concurrent Degree majors only.
    Covers research topics of current interest in computer science that do not fall into a standard subarea. May be repeated up to 8 total credit hours. Department consent required. Prerequisites: Restricted to graduate students only.

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