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香港中文大學專業進修學院健康與安全措施

鑒於新型冠狀病毒的威脅持續,香港中文大學專業進修學院(CUSCS)宣佈作出以下安排:

  1. 高級文憑及基礎教育文憑課程 - CUSCS將繼續利用ZOOM應用程式及MOODLE進行網上教學。學院將會在情況許可下,恢復面授課堂。
  2. 兼讀制課程 - 所有兼讀制課程暫停至2020年3月1日。部分課程將安排作網上教學,學院將個別通知相關同學。
  3. 教學中心及櫃檯服務 - CUSCS所有教學中心繼續暫停開放至2020年3月1日。學院於期間星期一至五,早上九時至下午六時提供有限度櫃檯查詢及報名服務。
     

(更新於2020年2月14日)

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系統開發及程式編寫

Certificate Programme in Data Mining and Machine Learning
資料探勘及機器學習證書

Course No. : 201-212300-01|Start Date : 12/03/2020

Admission Requirements

Applicants shall have basic knowledge of database* and computer programming+, and
1. completion of secondary education, or equivalent; or
2. aged 21 or above.

Remark:
* database such as Access, MySQL, etc
+ computer programming such as Python, Java, etc.

Language Used

Cantonese (supplemented with English)

Total Hours

90 hours

Place

Central Learning Centre

Start Date

12 March 2020

Schedule

Thursday

Time

6:45pm - 9:45pm

Application Fee

HK$150

Tuition Fee

HK$14,580

Level

Certificate programmes

QF Level

3

QR Registration No.

18/000239/L3

QR Registration Validity Period

21/03/2018 - Ongoing

Course Enquiries

3943 9131 / 3943 90452770 8275[JavaScript encoded]

Enrolment Enquiries

2209 0290

Closing Date for Application

12 February 2020

1
Objectives

This programme is targeted for participants who are interested to learn how to extract and analyze data to obtain valuable information and knowledge by using the popular data mining and machine learning algorithms. While theoretical and mathematical knowledge will also be introduced, the programme will focus on real-life applications of readily available data mining and machine learning techniques and algorithms to help participants to apply the knowledge at their own context. Common data mining tools such as R and Python will be used for the students to do hands-on practices. Ethical and privacy issues will also be discussed.

2
Content

1. Introduction to Data Mining (30hr)
Data are collected everywhere now with advancement in technology, and how to effectively identify patterns and useful information in such data is essential for learning, forecasting and knowledge discovery purposes. The course will provide opportunities for students to learn the basic concepts of data mining and how to discover useful information in daily-life context.


2. Machine Learning Algorithms (30hr)
Machine learning is one of the fastest-growing and exciting areas with wide range of possible applications. In this course, the participants will develop a clear understanding of the motivation for machine learning, and design small-scale intelligent systems that can learn from complex and or large-scale datasets.


3. Applications of Data Mining and Machine Learning (30hr)
This course will help participants to apply data mining and machine learning techniques to practical applications such as stock forecasting, social media marketing and scientific applications.

3
Assessment

Assignment, Case Studies, Project and Final Exam.

4
Award of Certificate

To qualify for the award of 'Certificate Programme in Data Mining and Machine Learning', students are required to have an attendance rate of 70% or above in each course and have passed the assessments of each course.

5
Continuing Education Fund

This course has been included in the list of reimbursable courses under the Continuing Education Fund. This course is recognised under the Qualifications Framework (QF Level 3).

Course Code: 34C121177
CEF Course Name : Certificate in Data Mining and Machine Learning