Module Code - Title:
CS6421
-
AI RESEARCH FRONTIERS (SEMINAR SERIES)
Year Last Offered:
N/A
Hours Per Week:
Grading Type:
N
Prerequisite Modules:
Rationale and Purpose of the Module:
The rationale and purpose of the module is to introduce students to a range of most current and emerging AI topics. Further, the seminar style of this module will teach important skills in reading and discussing research in the field, giving students the ability to remain up-to-date with the field beyond their studies.
Syllabus:
This module will be taught in seminar style with student-led reading groups based on assigned reading from most recent advances in the field. As such, the exact content of the module will change year-on-year.
Learning Outcomes:
Cognitive (Knowledge, Understanding, Application, Analysis, Evaluation, Synthesis)
On successful completion of this module, students will be able to:
Critically analyse recent developments in AI research (knowledgeable)
Continue active, lifelong learning in the field (proactive)
Analyse the strengths and weaknesses of current research approaches in AI
Affective (Attitudes and Values)
On successful completion of this module, students will be able to:
Defend their central conclusions;
Integrate staff and fellow student criticisms into this defence.
Psychomotor (Physical Skills)
n/a
How the Module will be Taught and what will be the Learning Experiences of the Students:
This module will be taught in seminar style with student-led reading groups based on assigned reading from most recent advances in the field.
Research Findings Incorporated in to the Syllabus (If Relevant):
Prime Texts:
L. Museros, O. Pujol, and N. Agell (2014)
Artificial Intelligence Research and Development : Recent Advances and Applications
, IOS Press, Incorporated
Other Relevant Texts:
Bernard Marr (2019)
Artificial Intelligence in Practice : How 50 Successful Companies Used AI and Machine Learning to Solve Problems
, John Wiley & Sons, Incorporated
Programme(s) in which this Module is Offered:
Semester(s) Module is Offered:
Autumn
Module Leader:
Tabea.DeWille@ul.ie