Module Code - Title:
CS6411
-
RESEARCH PROJECT 1 (MSC in ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING)
Year Last Offered:
N/A
Hours Per Week:
Grading Type:
N
Prerequisite Modules:
Rationale and Purpose of the Module:
The student will undertake a 2-semester long research project that will be the culmination of their 5-year long program of studies. The project should be on an advanced topic of current or potential future relevance to the field of artificial intelligence an/or machine learning.
The work and ensuing write-up should evince the student's learning and research potential under minimal supervision and guidance. The student will draw on material presented and developed over the previous years of their program.
This newly-proposed module is planned to be the first in a pair of project-related modules. It is planned for these to be M-graded. Linked Module for M-grading purposes is Research Project 2 (MSc in Artificial Intelligence and Machine Learning).
Syllabus:
The research project should be on an advanced topic of current or potential future relevance to field of artificial intelligence / machine learning. It should demonstrate the student's ability to perform independent research and self-directed learning on an unfamiliar problem, while utilising some of the major concepts and ideas encountered in earlier taught modules and project work. While original and publishable work is not a requirement, a major aim of the research project is to provide students with experience in producing work aimed at publication in a public forum (journal, conference, academic or industrial seminar, trade show etc). The research project will normally commence with a literature review. The main part of the research project may require the use of advanced computer, theoretical, and/or experimental analysis.
Learning Outcomes:
Cognitive (Knowledge, Understanding, Application, Analysis, Evaluation, Synthesis)
On successful completion of this module, students will be able to:
- Assimilate and integrate information from literature or from experiments, on an unfamiliar problem;
- Demonstrate the ability to develop creative solutions to problems of an advanced nature in mechanical engineering;
- Determine deficiencies in knowledge needed for realisation of an advanced project in the field of artificial intelligence and/or machine learning, and plan and execute self-directed continuing professional development needed to address such deficiencies;
- Demonstrate understanding of the theoretical bases, limitations and range of applicability of the mathematical methods and computer science underpinning certain aspects of artificial intelligence and/or machine learning;
- Write a technical paper in a format suitable for publication with an abstract that provides a clear executive summary of the work performed.
Affective (Attitudes and Values)
On successful completion of this module, students will be able to:
- Interact with scientists, technologists and practitioners and to understand how they together constitute a problem-solving team;
- Advocate for the safe and ethical application of artificial intelligence technology;
- Identify the contributions of research in the field of artificial intelligence to the well-being of society at large.
Psychomotor (Physical Skills)
N/A
How the Module will be Taught and what will be the Learning Experiences of the Students:
The module, being the first of a 2-module project theme, will require the student to investigate their chosen topic and develop their own thinking and assessment of it. Thus, the entire emphasis of the module is on self-directed learning with, of course, the guidance of their supervisor.
Research Findings Incorporated in to the Syllabus (If Relevant):
Prime Texts:
Eco, Umberto (2015)
How to Write a Thesis
, MIT Press
Parija, S.C., Kate, Vikram (Eds.) (2018)
Thesis Writing for Master's and Ph.D. Program
, Springer
Box et al (2005)
Statistics for Experimenters
, Wiley, New York
Montgomery et al (2005)
Design and Analysis of Experiments
, Wiley, New York
Other Relevant Texts:
Greenhalgh, T. (2010)
How to Read a Paper: The Basics of Evidence-Based Practice.
, BMJ Books, Wiley-Blackwell
Programme(s) in which this Module is Offered:
Semester(s) Module is Offered:
Autumn
Module Leader:
patrick.healy@ul.ie