INFORMATION TECHNOLOGY & COMPUTER SCIENCE | Units, Syllabus & Study Materials - YNetStudyHub
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INFORMATION TECHNOLOGY & COMPUTER SCIENCE Verified Syllabus

Master INFORMATION TECHNOLOGY & COMPUTER SCIENCE with structured academic semester units, topic lecture notes, past examinations, CATs, and interactive 24/7 AI tutor support on YNetStudyHub.

14 Semester Units 151 Curriculum Topics 24/7 AI Tutor Enabled
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14 Units
151 Syllabus Topics
4 Years Duration
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1 Active Students

Course Units & Curriculum 14 Units

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Artificial Intelligence
13 Topics
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1 AI Ethics and Bias
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2 AI in Business and Finance
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3 AI in Healthcare
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4 Computer Vision
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5 Ethics and Bias in Artificial Intelligence
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6 Future Trends in Artificial Intelligence
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7 History of Artificial Intelligence
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8 Introduction to Artificial Intelligence Free Preview
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9 Machine Learning
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10 Machine Learning Algorithms
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11 Natural Language Processing
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12 Neural Networks and Deep Learning
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13 Robotics and AI
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1 Case Studies in Big Data Analytics
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2 Data Collection and Preprocessing
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3 Data Mining and Machine Learning
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4 Data Storage and Management
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5 Data Visualization
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6 Ethical and Privacy Issues in Big Data Analytics
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7 Introduction to Big Data Analytics Free Preview
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8 Real-time Analytics
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9 Sentiment Analysis and Text Mining
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1 Case Studies in Cloud Computing
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2 Cloud Computing Trends and Innovations
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3 Cloud Cost Management
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4 Cloud Deployment Models (Public, Private, Hybrid)
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5 Cloud Migration Strategies
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6 Cloud Security and Compliance
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7 Cloud Storage Solutions
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8 Future of Cloud Computing
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9 Introduction to Cloud Computing Free Preview
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10 Types of Cloud Computing Services (IaaS, PaaS, SaaS)
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1 Cybersecurity Ethics
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2 Ethical Decision Making in Computing
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3 Ethical Leadership in Technology
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4 Intellectual Property and Copyright Issues
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5 Introduction to Computer Ethics Free Preview
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6 Privacy and Data Protection
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7 Professional Codes of Conduct
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8 Social Implications of Technology
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1 2D Graphics and Drawing Techniques
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2 3D Graphics and Modeling
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3 Animation and Simulation
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4 Graphic Primitives and Algorithms
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5 Introduction to Computer Graphics Free Preview
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6 Rendering Techniques
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7 Shading and Lighting
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8 Texturing and Mapping
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9 Virtual Reality and Augmented Reality
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10 Visualization Techniques
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1 Cryptography and Encryption
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2 Cyber Threat Landscape
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3 Cybersecurity Principles and Best Practices
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4 Emerging Trends in Cybersecurity
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5 Ethical Hacking and Penetration Testing
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6 Incident Response and Disaster Recovery
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7 Introduction to Cybersecurity Free Preview
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8 Network Security
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9 Security Compliance and Regulations
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10 Security Risk Management
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1 Array and Linked List Implementation
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2 Dynamic Programming
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3 Graph Representation and Traversal
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4 Greedy Algorithms
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5 Hashing and Hash Tables
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6 Introduction to Data Structures Free Preview
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7 Searching Algorithms
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8 Sorting Algorithms
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9 Stack and Queue Operations
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10 Tree Data Structure
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1 Big Data and NoSQL Databases
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2 Data Modeling and Implementation
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3 Data Normalization and Optimization
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4 Database Management Systems (DBMS)
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5 Database Security and Backup Strategies
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6 Indexing and Query Optimization
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7 Introduction to Database Systems Free Preview
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8 Relational Database Design
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9 SQL Fundamentals
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10 Transactions and Concurrency Control
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1 Computer Hardware Fundamentals
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2 Computer Maintenance and Troubleshooting
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3 Computer Networking Basics
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4 Computer Security and Privacy
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5 Computer Software Basics
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6 Computer Storage Systems
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7 Input and Output Devices
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8 Introduction to Computer Systems Free Preview
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9 Operating Systems
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1 Arrays and Lists
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2 Control Structures
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3 Debugging and Testing
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4 Exception Handling
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5 Functions and Methods
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6 Introduction to Algorithms
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7 Object-Oriented Programming (OOP) Concepts
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8 Overview of Programming Free Preview
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9 Programming Paradigms
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10 Variables and Data Types
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Past examination papers for this unit are being compiled.
1 Case Studies and Applications
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2 Clustering Algorithms
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3 Data Preprocessing for Machine Learning
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4 Decision Trees and Random Forest
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5 Deep Learning
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6 Dimensionality Reduction Techniques
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7 Ethical Considerations in Machine Learning
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8 Feature Engineering
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9 Introduction to Machine Learning Free Preview
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10 Linear Regression
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11 Logistic Regression
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12 Model Deployment and Monitoring
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13 Model Evaluation and Selection
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14 Model Evaluation and Validation
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15 Model Optimization
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16 Model Selection and Evaluation
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17 Natural Language Processing (NLP) and Text Mining
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18 Neural Networks and Deep Learning
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19 Reinforcement Learning
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20 Supervised Learning
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21 Support Vector Machines (SVM)
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22 Types of Machine Learning
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23 Unsupervised Learning
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1 Cloud Computing
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2 Internet of Things (IoT)
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3 Internet Technologies
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4 Introduction to Networking Free Preview
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5 Network Protocols and Standards
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6 Network Security
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7 Network Topologies
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8 Network Troubleshooting and Maintenance
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9 Virtualization
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Past examination papers for this unit are being compiled.

Curriculum Architecture

This program is structured into comprehensive academic units combining theoretical foundations, analytical research, practical tutorials, and continuous assessments. Each unit is mapped to key learning outcomes aligned with higher education qualification frameworks.

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Career & Professional Trajectories

Graduates of INFORMATION TECHNOLOGY & COMPUTER SCIENCE are qualified for diverse professional opportunities across industry, public service, corporate consulting, research institutions, international organizations, and postgraduate specialization.

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