Anna University
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All courses for Anna University
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A002I 1
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AD3251 AD3251 2
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AD3491 1
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AG108 7
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AI1003 2
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AIRCRAFT STRUCTURE 1
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AL3391 2
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AL3451 AL3451 2
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AML401 1
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Anna University 5
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Antenna 1
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Art321 Pscy101 1
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Artificial Intelligence CS8691 3
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Artificial intelligence and data science BTAT2502 1
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B1704 1
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BA4016 Marketting 1
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BA4104 1
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BCA104 BCA104 1
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BT3401 BT3401 1
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BTAT2502 1
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BTE031 CB01 2
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Business management 1
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Business strategy 2
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C programming CS3251 1
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C046 1
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CAP 5768 1
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Career skills development GEA1123 8
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CB3491 1
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CCS335 1
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CCS339 CCS339 3
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CCS345 1
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CE 602 / IT 602 1
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CE3015 1
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CE305 1
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CE3403 CE3403 1
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CE3502 1
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CE6504 1
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CE8404 1
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CEC334 AIC 1
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Cec345 3
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Cec348 2
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CEC352 2
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CEC403 1
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Chemical Reaction Engineering 1
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Cis9746 1
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CME346 CME346 1
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Code No. 046 1
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Comp 1
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Computer Architecture Notes Py123 4
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Computer science Python 1
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CS 8251 101 2
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Cs101 Cs101 1
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CS11971 1
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CS3251 CSE321 5
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Cs33 Java 1
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CS3316 1
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CS3351 AIML 3
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CS3352 CS3352 3
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Cs3391 CS3391 4
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Cs3401 Algorithms 1
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CS3452 CS3452 4
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CS3491 CS3491 3
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CS3501 1
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Cs356 1
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CS6401 Cs6401 2
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CS701PC 1
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CS8383 1
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CS8391 DSA 3
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CS8392 CS8392 1
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CS8601 CS8601 2
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CS8962 3
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Cse010 1
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CSE104 OME752 1
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CY3151 CY3151 5
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Data 1
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Digital Electronics DIGI2005 2
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Ds1301 3
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EC1404 1
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EC322 1
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EC3351 Ec3351 3
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EC3353 1
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EC3452 1
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EC3501 1
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ECE 1
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Eco 132 1
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Eco 3130 CS3001 1
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ECO1081 1
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ECO31O1 GE3171 1
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Eco67 1
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ECONOMIC Co3152 1
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EN8491 1
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ENG 1 1
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ET3491 1
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Field Effect Transistor And MOSFET 1
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FINANCE 2 A 1
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GE3151 PY3151 4
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GE3171 GE3171 3
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GE8151 2
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GE8151. GE8151 1
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Get started with C++ 1
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History of python 1
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HS8151 HS5181 1
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Information Security 1
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Introduction Ps3151 1
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Introduction to anatomy 1
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Introduction to HTML HTML 1
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Introduction to Java programming for beginners 1
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Introduction To Networks 1
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Introduction to Operating system Cs3451 2
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IP8501 IP8501 3
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IT401 2
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Java Notes 2
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Java02 Java101 1
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Java7 1
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JavaScript Learn 5
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M11 EC1701 3
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MA3251 1
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MA3354 1
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MBA 2
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MC4205 MC4205 1
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ME8791 1
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ME9692 1
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Mechanical operation 1
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MG8591 MG8591 1
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Model based system design 20EI253 1
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MT2251 mt2251 1
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Notes for all subjects GE8291 1
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OCS351 OCS351 1
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ORA351 1
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Ph3256 PH325 1
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Phy018 1
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PHY2003 1
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Physics 2
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PPevol2515 1
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PROCESS CONTROL 1
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Programming 1
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PSY3150 1
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Psychology 1
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Py01 1
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Py135111 Py13511 1
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PYT001 1
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Python Python 5
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Python 1.1 PSYC101 1
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Pythons 1
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SBIN0006463 1
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Self cleaning concrete co2345 12
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Summary of moto driver L293D 1
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Technical Non 1
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U18CEI4201 1
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U20EST467 U20jav467 1
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U21CA507 U21ca507 1
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U21EEG02 EEG02 1
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U23CET01 U23CET01 1
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UHV101 2
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UME2301 Engineering Thermodynamics 1
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UX laws 1
Latest content Anna University
Java Overview: A high-level, object-oriented language, platform-independent via JVM. 
Types of Java: Java SE for standard applications, Java EE for enterprise-level solutions. 
Data Types: Includes primitive types (int, char, etc.) and reference types (String, arrays). 
Functions/Methods: Functions are called methods in Java; can be static or instance-based, with return types and parameters. 
Conditional Statements: Use if, else, switch for decision-making. 
Looping: for, while, do-while for rep...
- Summary
- • 49 pages's •
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Anna University•AI1003
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Java Overview: A high-level, object-oriented language, platform-independent via JVM. 
Types of Java: Java SE for standard applications, Java EE for enterprise-level solutions. 
Data Types: Includes primitive types (int, char, etc.) and reference types (String, arrays). 
Functions/Methods: Functions are called methods in Java; can be static or instance-based, with return types and parameters. 
Conditional Statements: Use if, else, switch for decision-making. 
Looping: for, while, do-while for rep...
It shows how Satellite communicate to the ground stations in far distance and also it explains the Technology used in it.
- Summary
- • 18 pages's •
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Anna University•CEC352
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It shows how Satellite communicate to the ground stations in far distance and also it explains the Technology used in it.
Introduction to Machine Learning, Supervised Learning, Unsupervised Learning, K-Nearest Neighbors (KNN), Classification, Regression, Naive Bayes, K-Means Clustering, Unsupervised Learning with K-Means, Principal Component Analysis (PCA), Linear Regression, Decision Trees, Support Vector Machines (SVM), Cross-Validation, Model Evaluation, Overfitting, Underfitting, Hyperparameters, Accuracy, Precision, Recall, F1-Score, Confusion Matrix, Clustering, Feature Engineering, Data Preprocessing, Traini...
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- • 31 pages's •
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Anna University•AML401
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Introduction to Machine Learning, Supervised Learning, Unsupervised Learning, K-Nearest Neighbors (KNN), Classification, Regression, Naive Bayes, K-Means Clustering, Unsupervised Learning with K-Means, Principal Component Analysis (PCA), Linear Regression, Decision Trees, Support Vector Machines (SVM), Cross-Validation, Model Evaluation, Overfitting, Underfitting, Hyperparameters, Accuracy, Precision, Recall, F1-Score, Confusion Matrix, Clustering, Feature Engineering, Data Preprocessing, Traini...
Machine Learning (ML) is a branch of artificial intelligence (AI) that enables computers to learn from data and make predictions or decisions without being explicitly programmed. It relies on algorithms that identify patterns in data, improve their accuracy over time, and make informed decision
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- • 5 pages's •
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Anna University•CS3351
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Machine Learning (ML) is a branch of artificial intelligence (AI) that enables computers to learn from data and make predictions or decisions without being explicitly programmed. It relies on algorithms that identify patterns in data, improve their accuracy over time, and make informed decision
It explains about how Satellite works and types of Satellite also types of orbits
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- • 14 pages's •
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Anna University•CEC352
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It explains about how Satellite works and types of Satellite also types of orbits
Google search
- Package deal
- Class notes
- • 2 pages's •
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Anna University•4455
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Knowledge summary• By hajmathulla786
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Google search
It's easy to use the application
- Package deal
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Anna University•4455
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Knowledge summary• By hajmathulla786
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It's easy to use the application
def greet(name, message="Hello"): 
 print(f"{message}, {name}!") 
 
greet(name="Alice", message="Hi")
- Package deal
- Presentation
- • 11 pages's •
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Anna University•4455
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Knowledge summary• By hajmathulla786
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def greet(name, message="Hello"): 
 print(f"{message}, {name}!") 
 
greet(name="Alice", message="Hi")
It will have be noted for best points
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Anna University•History of python
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This unit introduces the fundamental concepts of robotics and its applications. It covers the history of robotics, the different types of robots, and the components of a robotic system. Students will learn about the basics of robot kinematics and dynamics, as well as the different types of sensors used in robotics. The unit also provides an overview of robot programming and control.
- Class notes
- • 18 pages's •
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Anna University•ORA351
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This unit introduces the fundamental concepts of robotics and its applications. It covers the history of robotics, the different types of robots, and the components of a robotic system. Students will learn about the basics of robot kinematics and dynamics, as well as the different types of sensors used in robotics. The unit also provides an overview of robot programming and control.