MATLAB Workshop


 
Professor: MATLAB Speakers
 
Students: Students of Introduction to Quantitative Methods Course; 40 more places are open to students of NTU (Priority to Social Science Students)
 
Time:
            Summer:
                        08/31 (Thu) 14:00-16:30 Social Science Building, Classroom 403
09/04 (Mon) 14:00-16:30 Social Science Building, Classroom 501
09/06 (Wed) 14:00-16:30 Social Science Building, Classroom 501
09/08 (Fri) 14:00-16:30 Social Science Building, Classroom 501
            Beginning of School:
09/12 (Tue) 10:20-12:10 Social Science Building, Classroom 501
09/13 (Wed) 10:20-12:10 Social Science Building, Classroom 501
09/15 (Fri) 10:20-12:10 Social Science Building, Classroom 501
 
Enrollment: Apply it 表單  before Monday, 08/28 (Students taking the Introduction to Quantitative Methods Course have to register as well, to further send out emails for information)
 
Preparation before class:
  1. Have the MATLAB program installed on your laptop
  2. Enough battery on the laptop, due to lack of outlet
 
 
MATLAB INSTALLATION
  1. Please read the attached installation instructions first. Please use the email account of the National Taiwan University of Social Sciences when establishing a MATHWORKS account.安裝說明
  2. The installation instructions mentioned the installation CD and it has been changed to this link to download.至此連結
  3. If there are any installation problems that cannot be solved, people from MATLAB will be present at the first class on Thursday, 8/31
  4. This is the authorized version of MATLAB of the National Taiwan University, Department of Economics. The service period is until 2018/01/31.
 
CLASS INTRODUCTION
MATLAB is an interactive environment for high-level scientific computing languages, analysable data, and development algorithms and applications. MATLAB can help solve scientific computing problems faster than the traditional programming languages ​​such as .C, C++, and Fortran.

1. Getting started with the MATLAB program
            * Requirements: Basic computer operation experience and basic concepts of linear algebra
            * This course is designed for beginners in MATLAB and hopes to help users fully understand the MATLAB programming language. The course begins with an introduction to the MATLAB operating environment, program syntax, supported data types, and how to use them. Examples of commonly used data I / O instructions are used to familiarize beginners with MATLAB. Next, we will explain the commonly used drawing instructions and functions of MATLAB, the logic of the program, the way of operation, etc., so that beginners can better understand the use of MATLAB and help users learn how to use their own algorithm functions.
            * Join this course to help you understand:
                        MATLAB operating environment, program syntax, supported data types and usage
                        Commonly used data I / O instructions
                        Drawing instructions and functions, program logic rules, calculation methods
                        The call references its own algorithm function

 
2. MATLAB Advanced Writing
            * Requirements: MATLAB Foundation Course
            * This course is designed for advanced users of MATLAB. At the beginning of the course, we will continue with the basic course on how to import data into MATLAB. The advanced course will show how to use low-level methods to read text files. In addition, the basic course talks about the function and timing of the functions related to the function. The advanced course allows learners to understand how to debug the functions developed by themselves and how to improve the performance of the MATLAB code.
            * Join this course to help you understand:
                        How to generate and call MATLAB Function
                        How to construct MATLAB Function Code, introducing various types of Function
                        How to write a program with a foolproof mechanism
                        How to debug the code and how to improve the execution efficiency of the code