CS 456: DATA MINING

Syllabus

Meeting Times:

Lectures:  MoWeFr 2:00PM - 2:50PM  Heb 204W
Labs: 2:00 - 2:50 PM, Tr.,Heb 204W 

No classes on November 11 (Veterans Day) and November 24-25 (Thanksgiving)

Instructor:

Prof. Boris Kovalerchuk,

Office:

HB 214-B

Phone:

963 – 1438

E-mail:

borisk <at>cwu<dot>edu

Class Web Page:

http://www.cwu.edu/~borisk/456

TA:

Wendy Stockwell StockweW < at> cwu <dot> edu

Office hours:

4:00 - 5: 00 PM M.,F.                                                                                                                      

Supplemental text:

Data Mining in Finance: Advances in Relational and Hybrid Methods, by B. Kovalerchuk, E. Vityaev, Kluwer Acad. Publishers, 2000

 

Grading

Midterm Exam 

15

Class Project (serves as Final Exam)

30

Class participation and quizzes (on random days)

5

Lecture notes

10

Labs

40

 

Grading Scale

95 – 100

A

90 – 94

A -

87 – 89

B +

83 – 86

B

80 – 82

B -

77 – 79

C +

73 – 76

C

70 – 72

C -

67 – 69

D+

63-66

D

60 – 62

D-

Grading Note: The projects are an important part of the course. Students MUST PASS the project portion of the class to PASS the class. All projects are conducted by groups of two students. Students must identify individual contribution in the final project documents. 

Objectives and student learning outcome: This course introduces data mining concepts. Students will learn the basics of data mining algorithm development with an emphasis on real world applications. Students will learn about data types and major algorithmic approaches: Regression, Neural Networks, Decision Trees, DNF rules, relational and hybrid methods, and others.

Honor Code: All work turned in for credit, including exams and all components of the project, are to be the work of the student whose name is on the exam or project. For all project components, the student can receive assistance from individuals other than the instructor only to ascertain the cause of errors. Thus you can get help if you need it to figure out why something doesn't work. You just can't get help from anyone, other than the instructor, to figure out how to make something work. All solutions turned in for credit are to be your individual work and should demonstrate your problem solving skills, not someone else's.