Practical Schedule


Practical Programs 

1.    Spreadsheet basics: Introduction to various features in spreadsheet

2.    Solving problems using functions in spreadsheets

3.    Use of Add-Ins in spreadsheet and statistical data analysis using Analysis Tool pack

4.    Solution of problems on regression analysis using Analysis Tool pack in spreadsheet

5.    Solution of problems on optimization using solver package in spreadsheet

6.    Introduction to MATLAB - Writing code using MATLAB programming. PPT 

7.    Entering commands, Creating numeric variables and Creating character variables. PPT

8.    MATLAB: Working with Variables and Expressions. 

9.    Writing Functions - Creating functions, Calling functions and Setting the MATLAB path.

10.    Debugging with the MATLAB Editor - Using breakpoints- Creating and using structures.

11.    Performing calculations with matrices - Calculating statistics with matrix data and Visualizing matrix data.

12.    Automating Commands with Scripts, Using the Command History, Creating script files, Running scripts, Dividing code into sections and Publishing scripts.

13.    MATLAB: Making and annotating plots, Getting help and Accessing and modifying values in variables.

14.   MATLAB: Analysis and Visualization with Vectors, Performing calculations with vectors, Creating multiple plots.

15.  Flow Control -Programming constructs and User interaction.

16.  MATLAB: Analysis and Visualization with Matrices - Creating and manipulating matrices.

17.  MATLAB: Importing from spreadsheets and delimited text files - Dealing with missing data - Plotting functions and Customizing plots.

18.  MATLAB: Tables of Data - Storing data as a table - Operating on tables - Extracting data from tables - Modifying table.

19.   MATLAB: Conditional Data Selection - Logical operations and variables - Finding and counting - Logical indexing.

20.  Analyzing Data from Files - Perform typical data analysis tasks in MATLAB including importing data from file, Preprocessing data, fitting a model to data, and creating a customized visualization of the model. 

21.  Solution of problems using Curve Fitting Toolbox in MATLAB

22.  Solution of problems using Image Processing Toolbox in MATLAB

23.  Working with MATLAB Flow control and Loops

24.  Customizing plots, Calculating Statistics and best fit line, Exporting graphics for use in other applications

25.  Solution of problems using Neural Network Toolbox in MATLAB

26.  Solution of problems using Fuzzy Logic Toolbox in MATLAB

27.  MATLAB development tools to find and correct problems with code

28.  Working with the MATLAB User Interface: Reading data from files, Saving and loading variables, and Plotting data

29.  Introduction to GAMBIT software











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