Artificial Intelligence

Sub-disciplines

Cyber Security

Data Science & Big Data

Geographical Information Systems

Health Informatics

Human Computer Interaction

IT Security

Informatics & Information Science

Machine Learning

Software Engineering

Video Games & Multimedia

Web Technologies & Cloud Computing

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Artificial Intelligence (AI) refers to a project for developing systems that are endowed with human-like intellectual operations such as the ability to argue, understand, comprehend, and improve performance through experience. The industry is attempting to advance its technology in order to program its intelligence to achieve new heights in terms of enabling human flexibility and daily knowledge.

The objective of Artificial Intelligence is to edify, analyse, and discern the data received. It is widely and commonly used in most industries particularly in the finance and healthcare departments. Hence, we can say that Artificial Intelligence is essentially the simulation of human intelligence in machines. Artificial Intelligence encompasses subjects like computer science, natural language processing, python code, mathematics, psychology, neuroscience, data science, machine learning, and many others. These courses are intended to assist students in decoding the mastery of artificial intelligence and its business applications. Students will also learn about the various machine learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modelling to develop algorithms and prepare them for roles in the AI industry.

Study levels:

Artificial Intelligence courses are offered at different study levels. These are:
Advanced Diploma in Artificial Intelligence
Bachelor in Applied Computer Science
Bachelor in Artificial Intelligence
Bachelor in Computer Science
Bachelor in Computer Systems
Bachelor in Computer Systems Engineering
Bachelor in Electronics and ICT
Bachelor in Games Computing
Bachelor in Management
Bachelor in Mechatronics and Robotics
Bachelor in Robotics and Automation
Bachelor of Business Administration
Bachelor of Engineering
Bachelor of Games and Interactive Design
Bachelor of Information Technology
Bachelor of Science
Diploma in Artificial Intelligence
Graduate Diploma in Artificial Intelligence
Master in Applied Computer Science
Master in Artificial Intelligence
Master in Computer Science
Master in Computer Systems
Master in Computer Systems Engineering
Master in Electronics and ICT
Master in Games Computing
Master in Management
Master in Mechatronics and Robotics
Master in Robotics and Automation
Master of Business Administration
Master of Engineering
Master of Games and Interactive Design
Master of Science
Mater of Information Technology
Postgraduate Diploma in Artificial Intelligence

Specialisations:

Learning Outcomes:

The commonly known modules to be expected from this sub-discipline are:

3D modelling
Activation functions
Advanced Object-Oriented Programming in C++
AI benefits and challenges
AI types
Applied mechanics
Artificial Intelligence for Simulation
C++ programming
Common AI functional designs
Common AI learning approaches and algorithms
Common AI system design principles and common AI project best practices
Computer ethics
Computer law & Cyber Security
Computer networks
Computer systems
Computer vision, pattern recognition
Computing project

Deep convolution network, Extreme learning machine, Deep residual network
Embedded systems
Frictionless integration, fault tolerance model integration
Fundamental and specialized neural network architectures
Fuzzy logic and knowledge-based systems
Heuristic learning, semi-supervised learning, reinforcement learning
Introduction to Computational Intelligence and Control Systems
Machine learning
Mobile robotics
Object-Oriented Programming in C++
Optimization and genetic algorithms
Robotics, natural language processing
Support-vector machines
Understanding AI models and training models and neural networks
Understanding natural language
Visual perception

Employability:

Artificial Intelligence has shaped the modern world today in ways we could have never predicted. It has enabled people to interact through smart devices, making a wide range of tasks accessible and easy to complete. This study and the industry aim to bring forth positive impacts for user experiences. It has also created many job opportunities for graduates to explore the diversity in this field.

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