Create Tejas_Mishra_mst_Matlab_Q1.m

README.md

@@ -34,6 +34,9 @@ git config --global user.email "your.email@college.edu"
 
 ---
 
+## NOTE: Clone the repository only after the questions get posted. 
+
+
 ## 🚀 Getting Started: Fork, Copy URL, and Clone
 
 ### 1. **Fork this Repository**

members_selection_test/MATLAB questions/Question_1_Data_Science_Laboratory.m → members_selection_test/MATLAB_Questions/Q1_Data_Science_Laboratory.m

@@ -85,7 +85,7 @@
 📁 SUBMISSION INSTRUCTIONS:
 ==========================
 - Create a new MATLAB file named "Data_Lab_[YourName].m"
-- Save your solution in the "Submissions" folder
+- Save your solution in your personal folder inside the "Submissions" folder
 - Do NOT modify this question file
 - Include your name and roll number as comments at the top of your solution file
 
@@ -97,6 +97,7 @@
 % Name: [Your Full Name]
 % Roll Number: [Your Roll Number] 
 % Question: Data Science Laboratory
-% Time: 30 minutes
+
 
 % Write your solution below this line
+%}

members_selection_test/MATLAB questions/Question_2_Space_Mission_Control.m → members_selection_test/MATLAB_Questions/Q2_Space_Mission_Control.m

@@ -87,7 +87,7 @@
 📁 SUBMISSION INSTRUCTIONS:
 ==========================
 - Create a new MATLAB file named "Space_Mission_[YourName].m"
-- Save your solution in the "Submissions" folder
+- Save your solution in your personal folder inside the "Submissions" folder
 - Do NOT modify this question file
 - Include your name and roll number as comments at the top of your solution file
 
@@ -104,3 +104,4 @@
 % Time: 30 minutes
 
 % Write your solution below this line
+%}

members_selection_test/python questions/Question_1_Prime_Number_Detective.py → members_selection_test/Python_Questions/Q1_Prime_Number_Detective.py

@@ -95,7 +95,7 @@
 📁 SUBMISSION INSTRUCTIONS:
 ==========================
 - Create a new Python file named "Prime_Detective_[YourName].py"
-- Save your solution in the "Submissions" folder
+- Save your solution in your personal folder inside the "Submissions" folder
 - Do NOT modify this question file
 - Include your name and roll number as comments at the top of your solution file
 

members_selection_test/python questions/Question_2_Palindrome_Portal.py → members_selection_test/Python_Questions/Q2_Palindrome_Portal.py

@@ -109,7 +109,7 @@
 📁 SUBMISSION INSTRUCTIONS:
 ==========================
 - Create a new Python file named "Palindrome_Portal_[YourName].py"
-- Save your solution in the "Submissions" folder
+- Save your solution in your personal folder inside the "Submissions" folder
 - Do NOT modify this question file
 - Include your name and roll number as comments at the top of your solution file
 

members_selection_test/README.md

@@ -213,15 +213,6 @@ git push origin solutions-YOUR_NAME
 
 
 
-## ⏰ Time Management Tips
-
-### Recommended Schedule (2 hours total):
-- **Minutes 0-5**: Set up GitHub and clone repository
-- **Minutes 5-35**: Python Question 1 (30 minutes)
-- **Minutes 35-65**: Python Question 2 (30 minutes)  
-- **Minutes 65-95**: MATLAB Question 1 (30 minutes)
-- **Minutes 95-115**: MATLAB Question 2 (20 minutes)
-- **Minutes 115-120**: Create pull request and submit (5 minutes)
 
 ### Pro Tips:
 - ✅ **Start with the language you're more comfortable with**

members_selection_test/Submissions/Tejas_Mishra_mst_Matlab_Q1.m

@@ -0,0 +1,31 @@
+% Name: Tejas Mishra
+% Roll Number: 300012723066
+% Question: Space Mission Control
+% Time: 30 minutes
+%  Create the matrix
+solar_efficiency = [85 92 88 78; 
+                    79 87 85 72; 
+                    91 95 89 82];
+
+%  Basic Analysis
+dimensions = size(solar_efficiency);         % a) Matrix size
+max_value = max(max(solar_efficiency));      % b) Max value
+min_value = min(min(solar_efficiency));      % c) Min value
+row_sum = sum(solar_efficiency, 2);          % d) Sum of each row
+column_avg = mean(solar_efficiency);         % e) Average of each column
+
+%  Data Extraction
+typeB = solar_efficiency(2, :);              % a) Row 2
+noon_values = solar_efficiency(:, 2);        % b) Column 2
+typeC_3PM = solar_efficiency(3, 3);          % c) Row 3, Column 3
+
+% Display results
+disp('Solar Panel Efficiency Analysis Results:')
+disp(['Matrix Dimensions: ', num2str(dimensions(1)), ' x ', num2str(dimensions(2))])
+disp(['Maximum Efficiency: ', num2str(max_value), '%'])
+disp(['Minimum Efficiency: ', num2str(min_value), '%'])
+disp(['Sum of Each Row: ', num2str(row_sum')])
+disp(['Average of Each Column: ', num2str(column_avg)])
+disp(['Type B Data: ', num2str(typeB)])
+disp(['12PM Readings: ', num2str(noon_values')])
+disp(['Efficiency of Type C at 3PM: ', num2str(typeC_3PM), '%'])