Postgraduate Certificate in Software Design with Artificial Intelligence (Artificial Intelligence)

Athlone Institute of Technology (Engineering Computing (Online/Blended Delivery))
Key Programme Details
Award

Level 9 - Special Purpose Award (30 ECTS Credits)

NFQ Level

9 About NFQ

Delivery Method

Online, Mixed, Distance

Mode

Part Time

ECTS Credits

30

Department

Computer and Software Engineering

General Information
Contact

Enda Fallon

Email

efallon@ait.ie

Phone

090 6471877

Address

Department of Computer and Software Engineering,
Athlone Institute of Technology,
Dublin Road,
Athlone,
Co. Westmeath.

Important Dates
Application Deadline

25/09/2019

Start Date

25/09/2019

End Date

29/05/2020

About this Course

As computers become smarter Artificial Intelligence (AI) is making strides in simulating human thinking. Creating computer systems that automatically improve with experience has many applications including robotic control, data mining, autonomous navigation, and bioinformatics. This course provides a broad introduction to machine learning and statistical pattern recognition. Students will learn about both supervised and unsupervised learning as well as learning theory, reinforcement learning and control.

Key Course Features:
-Level 9 Programme (30 ECTS)
-Artificial Intelligence is an emerging area of critical importance for the development of ICT skills as specified in a number of government reports; Technology Skills 2022
-Blended and flexible mode of delivery
-Developed in partnership with the Midlands Regional Skills manager and relevant companies
-Strong potential for employment
-AIT has ongoing formalised relationships with over 75 ICT companies. Course proposal originated from our industrial partners.
-Personal and supportive approach to teaching and learning
-Companies have offered to provide and supervise "real world" oriented industry projects
-Problem Based Learning (PBL) based approaches will be used to challenge and expand the students knowledge, skills and competence.

Entry Requirements

Honours (Grade 2.2) degree in an appropriate engineering, computing or cognate discipline, or an equivalent qualification

Long Description

The proposed course targets learner expertise and skills development within this rapidly developing and increasingly strategically important area. The vast accumulation of data and the inability for humankind to process this data unaided has led to an explosion in AI based solutions tailored to process, analyse, classify, and appraise this data. This current course offering intends to give prospective students the techniques and skills require to make sense of data, to realise patterns and to gain semantic understanding of the data. Data modelling, data presentation and data storage solutions are persistent throughout each module of the course. The summer project will leverage the knowledge gained throughout the course to aid the student in developing an industry specific application or research problem with a data-centric solution.

Though its Software Research Institute (SRI), AIT has ongoing formalised relationships with over 75 ICT companies. In recent years over €3.5M in industry focused funding has been secured focusing on Data Analytics, Machine Learning (ML), and Artificial Intelligence (AI) areas with significant relevance to the proposed course. Working with our industrial
partners, the course development team have involved industry at all stages of the development process through technology brainstorming sessions, technical skills needs questionnaires to course proposals of which this is one. The result is an industry focused, engaging and real world relevant course.

Problem Based Learning (PBL) based approaches will be used to challenge, improve, and expand the students knowledge, skills, and competence. The implementation of projects and case-studies will provide the student with an understanding of the practical application of Artificial Intelligence to real world problems.

Timetable Info

6, (blank)

Delivery Notes

Blended Delivery

Application Procedures

Applicants must upload a copy of their transcripts of results that meet the entry requirements at the time of making the application.