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Award in Introduction to Artificial Intelligence - Search, Logic, and Learning

Award in Introduction to Artificial Intelligence - Search, Logic, and Learning

  • MQF Level 5
  • 10 ECTS
Fact Sheet (EU/Maltese)

Course Overview

The objective of this unit is to introduce students to the fundamental concepts of artificial intelligence and the problems it aims to address. The course focuses on three key areas: Search, Logic, and Learning.

Search: Students will study uninformed search algorithms (BFS, DFS, Uniform Cost), informed search algorithms (A*, Greedy Best-First), optimization problems (Hill Climbing, Simulated Annealing, Genetic Algorithms), and Constraint Satisfaction Problems (CSP).

Logic: Topics include Propositional Logic (syntax, semantics, truth tables, logical equivalences) and First-Order Logic (quantifiers, inference rules, unification, resolution), as well as Knowledge Representation (ontologies, frames, semantic networks) and Reasoning Systems (rule-based systems, expert systems, fuzzy logic).

Learning: The unit covers Supervised Learning techniques (linear regression, decision trees, neural networks, SVM), Unsupervised Learning methods (K-means clustering, PCA, anomaly detection), Reinforcement Learning (MDP, Q-learning, policy gradient methods), and Deep Learning concepts (CNN, RNN, GAN).

It also addresses the ethical and societal impacts of AI, focusing on bias, fairness, privacy, transparency, and implications for employment, security, and governance.

The main assessment method will be as follows: 100% Assignment (Word Count: 4,000 – 6,000 words)

Accredited

MQF Level 5

Award

10 ECTS

  • Individuals seeking a comprehensive education in software design, including foundational and advanced topics in artificial intelligence and cloud computing.
  • Students are interested in developing a broad understanding of software development principles and technologies, with options to specialize through various awards within the programme.
  • Professionals aiming to enhance their skills and qualifications in software design, AI, and cloud computing to advance their careers.
  • Anyone passionate about technology and innovation, looking to gain knowledge and practical experience in cutting-edge software solutions and computing technologies.

Hybrid classes (subject to change)

You can register for programs either online or in-person. For further details, please feel free to contact us.

  • Students must be in possession of a minimum MQF Level 4 full qualification or higher related to Software Design, IT, or Computing
  • While not mandatory, any relevant experience in IT, software development, or related areas will be considered a benefit.
  • A demonstrated interest in artificial intelligence, cloud computing, and software design, along with a commitment to successfully completing the programme.
  • In the case of international students, where English is not an official language, students need to demonstrate proficiency in the English language through IELTS (Score: 6.0) (International English Language Testing System) or equivalent.

YES this course falls under the

  • GET QUALIFIED scheme which is an initiative that supports the personal development of individuals for the achievement of qualifications and certifications required by industry. The incentive is applicable to individuals following a course of studies leading to a Certification, Diploma, Degree, or Post-Graduate Degree Courses. Upon successful completion, the student will benefit from a tax credit enabling them to recover part of the costs incurred.

Discover more on website: https://maltaenterprise.com/support/get-qualified-2017-2023

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Euro (EU / Maltese)440.00
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Course Length

2 Months

Intakes

To obtain information about the current intakes dates, we invite you to get in touch with our office.

Class Schedule

Twice weekly, from 18:30 pm till 20:30 pm (subject to change)

Language

English

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Inquiry

Registration Fees: €250

Assignment Submission Fees: €50 per assignment

Fees include

1. Overall qualification certificate

2. Course material tutorial support notes

3. Access to online course resources