Details

Date: 4, 11, 18 & 25 Aug (Every Tue of Aug)

Time: 19:00 - 21:00​

Venue: Online via Zoom*

Instructor: Cobo Academy

Language: Cantonese

Target: Undergraduates and young graduates (within 2 years)

Register by: 29 Jul 2020 (Wed)

Important note:

• Course fee (HKD $1,000) are FULLY refundable if applicants fulfilled related criteria**
• Applicants are required to prepare their own computer / laptop (PC or Mac) for the course. And there is no special hardware requirement for computers.
• Applicants have to Install Pycharm and Python 3.8.5 prior to class
• Applicants may need to provide proof of student status, such as student ID card and graduation certificate　



Lesson 1

Date: 4 Aug 2020 (Tue)

Time: 19:00 - 21:00

Objectives:

• Understand what coding is, and what Python specifically can achieve
• Learn basic coding concepts like variables and conditionals

Lesson 2

Date: 11 Aug 2020 (Tue)

Time: 19:00 - 21:00

Objectives:

• Learn and apply advanced data structures when solving problems
• Combine different coding concepts and data structures to build an interactive game

Lesson 3

Date: 18 Aug 2020 (Tue)

Time: 19:00 - 21:00

Objectives:

• Understand why and how to seperate code in different files
• Understand the importance of modularity in software design

Lesson 4

Date: 25 Aug 2020 (Tue)

Time: 19:00 - 21:00

Objectives:

• Understand the basic concepts of Artificial Intelligence
• Learn to identify different coding and data structures needed when problem is presented

*Remarks

• The webinar will be conducted online via Zoom. Successful registrants will receive a confirmation email with the web link and password for the webinar.
• The webinar will be registered via Zoom. The information collected will be used for the purpose of processing your registration to the webinar only. Please click here for more information about the related privacy policy.

**Course fee (HKD $1,000) is FULLY refundable if applicants:

• Achieve 100% attendance (login with your FULL NAME for attendance record), AND
• Succeed in handing in all in-class mini projects

Personal data collection

• The personal data collected will be solely for FINSPIRE event and related promotional purpose.