Course Information
Price
HKD 9,000
CEF Reimbursable
CEF Reimbursable
Course Level
Study Mode
Location
-
Course Overview
Assessment Methods / 評核方式
(A) Assessment Items and Their Weightings: (1) Continuous Assessment 1 (CA 1): Write a python programme to perform task automation: 30% (2) Continuous Assessment 2 (CA 2): Develop the machine learning model for the selected use case: 30% (3) Final Assessment (FA): Multiple Choice (MC) test: 40% (B) Completion Requirements and CEF Reimbursement Requirements: (1) Complete all assessment tasks; (2) Overall passing mark: 50%; (3) Obtain overall total of 50% or above passing mark in continuous assessments (CA1 and CA2) as a whole; (4) Obtain 50% or above passing mark in final assessment (FA); (5) Attendance requirement: 70%
Entry Requirement / 入學要求
1) Completion of Form 5 (under the HKCEE academic structure); or Completion of Secondary 6 (under the HKDSE academic structure); or Equivalent qualifications; or 2) Aged 18 or above at the time when the course commenced with basic computer knowledge.
Instructor's Qualifications / 導師資歷
(i) an academic qualification at higher diploma level or above in a relevant discipline; OR (ii) at least six years of relevant teaching and/or industrial experience in the subject matter.
QR Number / 資歷名冊登記號碼
24/000983/L3
QF Level / 資歷架構級別
3
CEF Registration Invalid From / 基金課程登記失效日期
01-APR-27
(A) Assessment Items and Their Weightings: (1) Continuous Assessment 1 (CA 1): Write a python programme to perform task automation: 30% (2) Continuous Assessment 2 (CA 2): Develop the machine learning model for the selected use case: 30% (3) Final Assessment (FA): Multiple Choice (MC) test: 40% (B) Completion Requirements and CEF Reimbursement Requirements: (1) Complete all assessment tasks; (2) Overall passing mark: 50%; (3) Obtain overall total of 50% or above passing mark in continuous assessments (CA1 and CA2) as a whole; (4) Obtain 50% or above passing mark in final assessment (FA); (5) Attendance requirement: 70%
Entry Requirement / 入學要求
1) Completion of Form 5 (under the HKCEE academic structure); or Completion of Secondary 6 (under the HKDSE academic structure); or Equivalent qualifications; or 2) Aged 18 or above at the time when the course commenced with basic computer knowledge.
Instructor's Qualifications / 導師資歷
(i) an academic qualification at higher diploma level or above in a relevant discipline; OR (ii) at least six years of relevant teaching and/or industrial experience in the subject matter.
QR Number / 資歷名冊登記號碼
24/000983/L3
QF Level / 資歷架構級別
3
CEF Registration Invalid From / 基金課程登記失效日期
01-APR-27
What You’ll Learn
1. Data Management with Python (9 hours) 2. Web Scraping with Python (3 hours) 3. Overview of the Use of Machine Learning (3 hours) 4. Tree Based Machine Learning Algorithms (3 hours) 5. Artificial Neural Network (ANN) & Deep Learning (3 hours) 6. Clustering Algorithms (3 hours) 7. Regression (3 hours) 8. Use of Gen AI (3 hours) 9. Final Assessment (1.5 hours)
