• Computer Science

  • Questions?

    Ken Takata
    Program Director
    651-523-2876
    ktakata01@hamline.edu 

    Art Guetter
    Program Director
    651-523-2311
    aguetter@hamline.edu

  • Student working on a computer and relaxing

    Computer Science Courses at Hamline

    CSCI 1250 - Introduction to Computer Science

    Goals: To enable students to write moderate-sized programs for a variety of applications.

    Content: An introduction to computer science is designed for those students who would like to learn a modern programming language. The emphasis of this course is to introduce students to the fundamentals of programming and not just to a particular language.

    This course is taught using C++.

    Prerequisite: High school algebra.

    Credits: 4 courses

    CSCI 1500 - Introduction to Databases

    Goals: To understand the basics of designing, implementing, and using a database management system; to understand the difference among the three basic types of database systems: relational, hierarchical and network; to learn to use a commercially available database management system. In past years, this course has been taught using Microsoft Access.

    Content: Theoretical foundations of databases, query languages such as SQL, hands-on experience implementing a relational database.

    Taught: Alternate years.

    Credits: 4 credits

    CSCI 3150 - Data Structures

    Goals: The student will start from a basic knowledge of programming acquired in CSCI 1250 and further that knowledge by a study of recursion, pointers, and common programming structures needed for implementation of larger and more complex programs.

    Content: Linked lists, stacks, queues, sets, trees, graphs.

    Prerequisite: CSCI 1250.

    Credits: 4 credits 

    CSCI 3500 - Survey of Computational Science

    Goals: An introduction to quantitative modeling in the context of the disciplines that support the computational science minor.

    Content: Topics are chosen to prepare students to use computational methods. For example: mathematical modeling, optimization (discrete and dynamic), numerical methods, data mining, statistics (error analysis and stochastic modeling).

    Taught: Annually.

    Prerequisites: MATH 1180 and CSCI 1250.

    Credits: 4 credits

    CSCI 5850 - Numerical Analysis

    Crosslisted
    See MATH 5850.
     

     

  • News
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      Senior Jenna Potter, an English major and German and communications double minor at Hamline, was awarded the prestigious Fulbright Scholarship to teach in Hamburg, Germany. Senior Libby Otto named as alternate to Norway.
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