SCI TEC 4351 - Paradigms of Scientific Knowledge: Knowledge Discovery from Scientific Data

Institution:

Temple University

Subject:

Description:

The goal of this course is to teach science students the necessary skills for knowledge discovery from large collections of data. The course is designed to introduce students to various data mining algorithms and illustrate how they can be applied to real-life knowledge discovery problems in sciences. Case studies will be discussed that illustrate application of data mining systems in biology, chemistry and physics. One emphasis of the course will be in teaching students how to use various data mining software to solve various knowledge discovery problems. Through this course, students will develop abilities in problem solving and critical thinking, both of which are necessary for the practice of data mining. This will be accomplished by demonstrating the practical applications of each presented algorithm, by emphasizing each algorithm’s limitations, and by assigning research-like course projects.

Credits:

3.00

Credit Hours:

Prerequisites:

C- or higher in a one-semester programming course (Matlab, C, Java, Basic)

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

WWW.TEMPLE.EDU

Phone Number:

(215) 204-7000

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

The Course Profile information is provided and updated by third parties including the respective institutions. While the institutions are able to update their information at any time, the information is not independently validated, and no party associated with this website can accept responsibility for its accuracy.