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Seminar / Event Details

Details on Seminars / Trainings / Events


Date Seminars/Trainings
February 7, 2018
(Wednesday)
 

FreeSW :- Introduction to free software for Scientific Computing  

Date:      February 7, 2018 (Wednesday)
Time:      10:30 - 12:30
Venue:    OEE501, Oen Hall
Speaker: Morris Law

March 7, 2018
(Wednesday)
 

ScriptL :- Introduction to Scripts Languages such as Python, PERL and PHP  

Date:      March 7, 2018 (Wednesday)
Time:      10:30 - 12:30
Venue:    OEE501, Oen Hall
Speaker: Morris Law



March 21, 2018
(Wednesday)
 

MATLAB1 :- Introduction to MATLAB  

Date:      March 21, 2018 (Wednesday)
Time:      10:30 - 12:30
Venue:    OEE501, Oen Hall
Speaker: Morris Law

MATLAB is good for technical computing. In our Science Faculty, it is used as a tool in many credit courses. Matrix concept will be talked. With simple examples, you will be able to write programs with MATLAB.

The following topics in MATLAB will be taught.

  1. Introduction to MATLAB:
  2. Entering matrix
  3. Matrix function and manipulation
  4. Matlab graphics
  5. MATLAB programming: writing M-file and functions
  6. Function input & output
  7. Control flow

Prerequisite: NIL

April 11, 2018
(Wednesday)
 

MATLAB2 :- Scientific Computing with MATLAB  

Date:      April 11, 2018 (Wednesday)
Time:      10:30 - 12:30
Venue:    OEE501, Oen Hall
Speaker: Morris Law

Advance programming technique in MATLAB with examples in the following fields will be talked.

  • Function approximation using Taylor's expansion
  • Error Analysis using hilbert matrix
  • Solving non-linear equations
  • Solving ordinary differential equations
The using of different toolboxes will be mentioned such as
  • Simulink
  • Image Processing
  • PDE
  • Compiler
  • MATLAB GUI

Prerequisite: MATLAB1
April 25, 2018  

MPI :- Parallel Programming with MPI  

Date: April 25, 2018
Time: 10:30 - 12:30
Venue: OEE501, Oen Hall
Speaker: Morris Law

Details: Parallel programming with MPI

  1. What is MPI
  2. Basic Idea of MPI
  3. When Use MPI
  4. Getting started with MPICH
  5. MPI Commands
  6. MPI Environment
  7. MPI Functions Specifications
  8. MPI Datatypes
Slides, Training examples

March 17, 2018 (Saturday)
 

AI1 :- Data Analysis in Python  

Date:      March 17, 2018
Time:     
Venue:    FSC901C, Fong Shu Chuen Library Building
Speaker: Dr. XW Chu, Associate Professor, COMP

To be confirmed
 

AI2 :- Machine Learning in Python  

Date:      To be confirmed
Time:     
Venue:    To be confirmed
Speaker: To be confirmed

To be confirmed
 

AI2 :- Deep Learning in Python  

Date:      To be confirmed
Time:     
Venue:    To be confirmed
Speaker: To be confirmed



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