City University of Hong Kong

MS6711 DATA MINING (MODULE FROM MASTER OF SCIENCE IN BUSINESS AND DATA ANALYTICS)

Enquire Now

Course Information

Price
Study Mode
Location
-

Course Overview

Assessment Methods / 評核方式
(A) Assessment Items and Their Weightings: (1) Continuous Assessment: 60% (Assignments 10%, Project 50%) (2) Examination: 40% (B) Completion Requirement: (1) The passing grade of the module is C (Grade C is equal to 50% of the overall mark) (C) CEF Reimbursement Requirements: (1) Overall passing grade: Grade C (equals to 50% of the overall mark) (2) 70% of attendance

Entry Requirement / 入學要求
hold a recognized Bachelor's degree in any disciplines with the curricula covering discrete mathematics.

Instructor's Qualifications / 導師資歷
PhD + 4 years of teaching experience

QR Number / 資歷名冊登記號碼
20/000461/L6

QF Level / 資歷架構級別
6

CEF Registration Invalid From / 基金課程登記失效日期
23-DEC-28

What You’ll Learn

(1) Introduction to data mining (3 hours) (2) Data preparation for data mining (9 hours) (3) Cluster analysis (6 hours) (4) Introduction to classification (9 hours) (5) Classification models (6 hours) (6) Association analysis (6 hours)

Skills covered in this course


Start FollowingSee all

We use cookies to enhance your experience on our website. Please read and confirm your agreement to our Privacy Policy and Terms and Conditions before continue to browse our website.

Read and Agreed