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diff --git a/Tutorial01-Basics/Data/README.md b/Tutorial01-Basics/Data/README.md
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+# Data for matrix manipulation
diff --git a/Tutorial01-Basics/Data/Tut1_data1.csv b/Tutorial01-Basics/Data/Tut1_data1.csv
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+0.05077,0.0038966667
+0.02751,0.00365
+0.02075,0.0036866667
+0.01881,0.0037333333
+0.01938,0.0037933333
+0.08237,0.00385
+0.03718,0.0038766667
+0.03714,0.0041033333
+0.03657,0.0039433333
+0.0362,0.00392
+0.048,0.0040733333
+0.04172,0.0040966667
+0.04115,0.0042166667
+0.0435,0.00409
+0.04202,0.0362
+0.0487,0.04172
diff --git a/Tutorial01-Basics/Problems/README.md b/Tutorial01-Basics/Problems/README.md
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+# Problems for matrix manipulation
diff --git a/Tutorial01-Basics/Problems/Tut1.pdf b/Tutorial01-Basics/Problems/Tut1.pdf
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+++ b/Tutorial01-Basics/Problems/Tut1.pdf
diff --git a/Tutorial01-Basics/README.md b/Tutorial01-Basics/README.md
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index 0000000..75af7cd
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+++ b/Tutorial01-Basics/README.md
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+# Matrix manipulation
diff --git a/Tutorial01-Basics/Scilab_code/README.md b/Tutorial01-Basics/Scilab_code/README.md
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+# Scilab code for matrix manipulation
diff --git a/Tutorial01-Basics/Scilab_code/Tutorial1_Matrix_manipulation.sce b/Tutorial01-Basics/Scilab_code/Tutorial1_Matrix_manipulation.sce
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+//Script for Matrix manipulation tutorial
+//This script gives a demonstration of a few basic matrix operations used in Scilab
+
+//Manual entry of matrices (A,B,x)
+A = [1 2 3;3 2 1;2 4 5];
+B = [5 4 2;1 8 9;5 4 1];
+x = [1;2;3];
+
+//Elementwise Matrix operations
+//Summation of two matrices
+Mat_Sum = A + B;
+disp(Mat_Sum,'A+B');
+
+//Subtraction of a matrix from another
+Mat_Sub = A - B;
+disp(Mat_Sub,'A-B');
+
+//Elementwise multiplication of two matrices
+Mat_element_product = A.*B;
+disp(Mat_element_product,'A.*B');
+
+//Elementwise square of a matrix
+Mat_element_square = A.*A;
+disp(Mat_element_square,'A.*A');
+
+//Product of a scalar and matrix 
+Mat_scalar_product = 5*A;
+disp(Mat_scalar_product,'5*A');
+
+//Elementwise square-root of a matrix
+Mat_sqrt = sqrt(A);
+disp(Mat_sqrt,'sqrt(A)');
+
+//Exponential of a matrix
+Mat_exp = exp(A);
+disp(Mat_exp,'exp(A)');
+
+
+
+//Matrix operations
+//Transpose of a matrix
+Mat_trans = A';
+disp(Mat_trans,'Atranspose');
+
+//Product of two matrices
+Mat_product = A*B;
+disp(Mat_product,'A*B');
+
+//Product of a matrix and vector
+Mat_vec_product = A*x;
+disp(Mat_vec_product,'A*x');
+
+//Square of a matrix
+Mat_square = A*A;
+disp(Mat_square,'A*A');
+
+//Higher powers of a matrix
+Mat_power_3 = A^3;
+disp(Mat_power_3, 'A^3');
+
+Mat_power_5 = A^5;
+disp(Mat_power_5,'A^5');
+
+
+//Range and size of matrices
+//Size of a matrix
+size_of_matrix = size(A);
+
+//Row and column size of a vector/matrix
+[row_size,column_size] = size(x);
+
+//Total number of elements in a matrix
+total_elements = length(A);
+
+//To extract an element of A
+Mat_element_31 = A(3,1);
+disp(Mat_element_31,'3rd row, 1st col element of A');
+
+//To extract a column of a matrix
+Mat_second_column = A(:,2);
+disp(Mat_second_column,'Second column of A');
+
+
+//To extract two columns of a matrix
+Mat_first_two_column = A(:,1:2);
+disp(Mat_first_two_column,'First two columns of A');
+
+//To extract a row of a matrix
+Mat_third_row = A(3,:);
+disp(Mat_third_row,'Third row of A');
+
+
+//Construction of special matrices
+//Identity matrix construction
+Identity_3 = eye(3,3);
+disp(Identity_3,'3 X 3 Identity matrix');
+
+//Zero matrix construction
+Zero_32 = zeros(3,2);
+disp(Zero_32,'3 X 2 Zero matrix');
+
+//All ones matrix
+Ones_45 = ones(4,5);
+disp(Ones_45,'4 X 5 all ones matrix');
+
diff --git a/Tutorial01-Basics/Scilab_code/Tutorial1_function.sce b/Tutorial01-Basics/Scilab_code/Tutorial1_function.sce
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+//This Matlab script is used to compute mean and standard deviation of data
+
+//Clears all previous variables stored
+clear 
+
+//Clears screen
+clc
+
+
+//Executing the mymean function that computes the mean of a given data
+exec mymean.sci;
+//Executing the mystdev function that computes the standard deviation of a given data
+exec mystdev.sci;
+
+
+//Data for which the mean and standard-deviation is required
+x = [1 2 5];
+
+//Calling the mymean function. It takes data (a vector) as the input argument and returns mean of the data as output
+mean_of_x = mymean(x);
+disp(mean_of_x,'Mean of x');
+
+//Calling the mystdev function. It takes data (a vector) and its mean as the input argument 
+//It returns standard deviation of the data as output
+stddev_of_x = mystdev(x,mean_of_x);
+disp(stddev_of_x,'Standard deviation of x');
+
diff --git a/Tutorial01-Basics/Scilab_code/Tutotial1_filehandling.sce b/Tutorial01-Basics/Scilab_code/Tutotial1_filehandling.sce
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+//This function is to import data from a csv file and store it in a variable
+//Using the data mean and standard deviation of the data is computed
+clear
+clc
+
+exec mymean.sci;
+exec mystdev.sci;
+
+//Import data from csv file
+Data = csvRead('../Data/Tut1_data1.csv');
+x = Data(:,1);
+y = Data(:,2);
+
+
+//Compute mean of the imported data
+mean_of_x = mymean(x);
+//Compute standard deviation of the imported data
+stdev_of_x= mystdev(x,mean_of_x);
+
+//Data to be exported (It can be a scalar, vector or matrix)
+data_to_write = [mean_of_x stdev_of_x];
+//Export data to a csv file
+csvWrite(data_to_write,'../Data/Tut1_data3.csv')
diff --git a/Tutorial01-Basics/Scilab_code/mymean.sci b/Tutorial01-Basics/Scilab_code/mymean.sci
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+//Function to compute mean of a given data (a vector)
+
+function mean_of_data = mymean(data)
+    sum_of_data = 0;
+    for iteration = 1:1:length(data)
+        sum_of_data = data(iteration) + sum_of_data;
+    end
+    mean_of_data = sum_of_data/length(data);
+endfunction
diff --git a/Tutorial01-Basics/Scilab_code/mystdev.sci b/Tutorial01-Basics/Scilab_code/mystdev.sci
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+//A function to compute standard deviation of a given data
+//Input: Data (a vector) and mean of the data as input
+//Output: standard deviation of the data
+
+function standard_dev = mystdev(data,mean_of_data)
+    temp = (data - mean_of_data*ones(length(data)))^2;
+    standard_dev = sqrt(sum(temp)/(length(data)-1));
+endfunction