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  4. Module 1. Introduction to Machine Learning and Cybersecurity
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Module 1. Introduction to Machine Learning and Cybersecurity

Lecture 1. Introduction to Machine Learning and Cybersecurity
Video. Lecture 1. Introduction to Machine Learning and Cybersecurity. Video
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  • ML for Cybersecurity (MLC)
    • Module 1. Introduction to Machine Learning and Cybersecurity
      • Lecture 1. Introduction to Machine Learning and Cybersecurity
      • Video. Lecture 1. Introduction to Machine Learning and Cybersecurity. Video
    • Module 2. Anomaly Detection and Attack Prediction with Machine Learning
    • Module 3. Supervised Learning Techniques and Cybersecurity
    • Module 4. Unsupervised Learning and Anomaly Detection
    • Module 5. Deep Learning and its applications in Cybersecurity
    • Module 6. Adversarial Machine Learning and Security Challenges
    • Module 7. Automation and Real-Time Threat Detection
    • Module 8. Ethical and Privacy Considerations in ML for Cybersecurity

First Semester

Fundamentals of AI
Cryptography
Machine Learning
Non-relational Database Systems
Cloud Computing and Distributed Systems
Neural Networks
Ethical Hacking
System Development Life Cycle: Cont. D & I
Malware Analysis
Sequences and Recurrent Networks

Second Semester

Advanced Deep Learning Modes
Wireless System Security
Cyber-physical Systems
IoT Connectivity
Advanced Cryptography
System Development Life Cycle: An. & Des.
Network Security Monitoring
Introduction to High Performance Computing
Natural Language Processing
Optimization for ML
System Security
Probabilistic Methods
Ethical, Legal and Human aspects of AI & CS
AI in Healthcare
Digital Forensics

Third Semester

ML for Cybersecurity
Network Solutions for IoT
Advanced Relational Database Systems
Database Security
Digital Entrepreneurship and Innovation Management
Front End Frameworks
Network Security
IoT Sensor Systems
Cybersecurity of Ind. Control Systems

Master Thesis

LaTeX class

Other information

LaTeXbits
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