Thursday Extra: "Interfaces for video analytics"

On Thursday, October 8, Alex Exarhos 2010 will present the results of his summer research on analyzing videos:

I worked with a set of video indexing and searching algorithms through a Department of Homeland Security internship. These algorithms are capable of quickly providing a summary of a video by breaking it up into sections based on the content, and this method of indexing makes it possible to instantly locate other images, frames, or video segments within the indexed library. I will also talk about the web services I created for these algorithms, and the work I did implementing a mobile interface for a Google Android phone.

Refreshments will be served at 4:15 p.m. in the Computer Science Commons (Noyce 3817). The talk, Interfaces for video analytics, will follow at 4:30 p.m. in Noyce 3821.

Upper-division courses and the computer science major

Introductory Course CSC 151

Core Courses, Electives, and the Computer Science Major

Grinnell's introductory courses introduce fundamental views of problem solving and different supporting programming languages. Upper-level courses include several core courses and many elective courses. The major provides some flexibility to allow students to follow their personal interests and career goals.

Requirements for the CS Major

The Computer Science Major balances requirements in foundational areas with some flexibility.

  • Algorithms and theory
    • CSC 301, Analysis of Algorithms (fundamental problem-solving techniques, corresponding data structures, and analysis of efficiency)
    • CSC 341, Automata, Formal Languages, and Computational Complexity (the theory of computation— connecting with perspectives of the liberal arts)
  • "Systems" courses: (one required, both strongly recommended)
    • CSC 211, Computer Organization and Architecture (hardware basics)
    • CSC 213, Operating Systems and Parallel Algorithms (fundamentals of parallel computation)
  • Software development
    • CSC 324, Software Design and Development (software lifecycle, agile development methods, professional tools, and software design principles with application to a large-scale project for a local organization/client)
  • Electives (4 credits)
  • Supporting mathematics
    • CSC 208/MAT 208 Discrete Structures or MAT 218 Combinatorics (foundational mathematics used throughout computing)
    • Math elective to support specific student interests and goals

Introductory Course CSC 151

Computer Science Major to meet international curricular guidelines

Grinnell's regular Computer Science Major requires 32 credits of computer science and 8 credits in supporting mathematics. This level of background supports many student interests and career goals. However, students interested in careers in computing are advised that the following courses should be taken either as Electives for the Computer Science Major or as additional courses:

  • CSC 211 - Computer Organization and Architecture 4 credits
  • CSC 213 - Operating Systems and Parallel Algorithms 4 credits
  • CSC 214 - Computer and Network Security 2 credits
  • CSC 216 - Computer Networks 2 credits
  • CSC 312 - Programming Language Implementation 2 credits

With these selections, students cover the full range of recommendations recommended by Association for Computer Machinery (ACM), the Computer Society of the Institute of Electrical and Electronics Engineers (IEEE-CS). This extended major includes 32 credits of computer science and 8 credits in supporting mathematics and is identified by the professional societies as a curricular exemplar.

Electives, Mentored Advanced Projects (MAPs), Special Topics

Introductory Course CSC 151

The Computer Science Department offers a range of electives to extend student backgrounds beyond the undergraduate core. In addition to regularly scheduled courses, special topics courses address particular interests of both students and faculty.

Some recently-offered electives have included artificial intelligence, computer networks, computer graphics, computational linguistics, and human-computer interfaces.

Complementing regular courses, students work with faculty on a wide range of guided reading courses, independent projects, and mentored advanced projects.

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