||TTh 2:00PM-3:30PM, Junkins 0204
1:00PM-3:00PM, Caruth 451
||Introduction To Data Mining by Tan, Steinbeck, and Kumar
First Edition, ISBN-10: 0321321367
This class introduces the processes of managing, exploring, visualizing, and acting on large amounts of data. This course provides an introduction to data-mining techniques (classification, regression, association and cluster analysis) used in analytics. All material covered will be reinforced through hands-on experience using state-of-the art tools to design and execute data mining processes. Class examples will come from Python and R. Pre-requisite courses for this class include basic statistics and probability, and introductory algorithm analysis (or desire to learn quickly). Experience with databases is helpful but not required.
Assignments will use python programming language but can also be completed in R. Lecture may also contain guest speakers (in person or video) giving short demonstrations and/or presentations.
|Biweekly lab assignments: *
||75% of grade (3 labs @ 20% each, 1 lab @ 15%)|
||25% of grade (5 at 5% each)|
AbsencesClass attendance is required. Students with three absences or less, who actively participate in class, will not receive any deductions for his/her absence. Starting with the fourth absence, 2% points from the final grade will be deducted for each absence (over the initial three absences). Please note: Rarely are these measures needed!
CheatingCheating of any kind such as plagiarism or direct copying is strictly prohibited and against the SMU honor code. However, collaboration is strongly encouraged. Most lab assignments can be done as a group and turned in as a group.
Disability AccommodationsStudents needing academic accommodations for a disability must first be registered with Disability Accommodations & Success Strategies (DASS) to verify the disability and to establish eligibility for accommodations. Students may call 214-768-1470 or visit http://www.smu.edu/alec/dass.asp to begin the process. Once registered, students should then schedule an appointment with the professor to make appropriate arrangements.
Religious ObservanceReligiously observant students wishing to be absent on holidays that require missing class should notify their professors in writing at the beginning of the semester, and should discuss with them, in advance, acceptable ways of making up any work missed because of the absence. (See University Policy No. 1.9.)
Excused Absences for University Extracurricular ActivitiesStudents participating in an officially sanctioned, scheduled University extracurricular activity should be given the opportunity to make up class assignments or other graded assignments missed as a result of their participation. It is the responsibility of the student to make arrangements with the instructor prior to any missed scheduled examination or other missed assignment for making up the work. (See the University Undergraduate Catalog for details.)
Please note that this syllabus is subject to change. Any changes to the syllabus will be announced via Blackboard and displayed on the course website.