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Study-Unit Description
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CODE ICS3213

 
TITLE Emerging Trends in AI

 
LEVEL 03 - Years 2, 3, 4 in Modular Undergraduate Course

 
ECTS CREDITS 5

 
DEPARTMENT Artificial Intelligence

 
DESCRIPTION Advances in the field of Artificial Intelligence are being made at a faster rate than ever before. This is a result of advances in two main areas: hardware (resulting in the availability of smaller, faster, cheaper technology on a scale required for AI techniques to produce real-time or near real-time results) and the availability of massive data sets to support the production of AI techniques that yield increasingly accurate results. This study-unit is aimed to provide final year students with advanced knowledge on emerging trends in Artificial Intelligence.

Study-unit Aims:

- To expose students to recent breakthroughs in AI research and development and the use of AI in industry;
- To expose students to ways in which ethical issues in Artificial Intelligence can be identified and overcome;
- To provide a forum for students to present an exposition of an AI topic of their choice and to participate in a discussion;
- To further develop student presentation skills.

Learning Outcomes:

1. Knowledge & Understanding:

By the end of the study-unit the student will be able to:
- Identify an area of AI for exposition;
- Explain why it is an area worthy of exposition;
- Recognise the issues, including ethical issues, whose resolution are key to success in the area;
- Identify the key contributors to research in the area.

2. Skills:

By the end of the study-unit the student will be able to:
- Investigate an AI research area, or an opportunity for research, or an opportunity for industry to use AI techniques (or any combination);
- Analyse key literature in the area;
- Write a concise scientific exposé of the area;
- Demonstrate critical awareness of the key issues, including ethical issues, of the area;
- Use the literature and their understanding of the area to give a seminar;
- Plan and deliver a seminar about the area;
- Demonstrate an ability to explain key concepts delivered during the seminar to the general public.

Main Text/s and any supplementary readings:

A set of relevant material will be made available through the VLE.

 
ADDITIONAL NOTES Students will be expected to present their work during an event (normally held shortly before Easter Recess) to a general audience.

 
STUDY-UNIT TYPE Lecture, Seminar & Independent Study

 
METHOD OF ASSESSMENT
Assessment Component/s Resit Availability Weighting
Presentation Yes 100%

 
LECTURER/S

 
The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints.
Units not attracting a sufficient number of registrations may be withdrawn without notice.
It should be noted that all the information in the study-unit description above applies to the academic year 2017/8, if study-unit is available during this academic year, and may be subject to change in subsequent years.
Calendar
Notices
Study-unit Registration Forms 2017/8

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For Undergraduate (Day) and Postgraduate students.

 

Faculty of ICT Timetables

Timetables

ICT Timetables are available from Here.

Communicating Process Architectures 2017

CPA2017S

Taking place between the 20th August 2017 and 23rd of August 2017. More details from HERE.

 
 

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