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Module Code - Title:

CE6013 - MASTER OF ENGINEERING DIGITAL FUTURES PROJECT

Year Last Offered:

N/A

Hours Per Week:

Lecture

0

Lab

0

Tutorial

0

Other

0

Private

30

Credits

18

Grading Type:

N

Prerequisite Modules:

Rationale and Purpose of the Module:

To undertake a significant project, which involves an advanced design and implementation task related to Computer Vision and Artificial Intelligence. This project forms part of the Digital Futures Stream in the MEng Computer Vision and Artificial Intelligence, whereby students will complete some prototyping implementation based on their portfolio work in the Digital Futures Lab.

Syllabus:

The project is a significant engineering task, involving research, design, and implementation based upon previous undertakings in the Digital Futures Lab. Projects are normally undertaken individually by students, although group project work is also allowed. Each project student (or project group) works under the supervision of an academic staff member who is responsible for the overall direction of the project. The project definition, including goals, methodologies, and expected deliverables will be documented and formally approved by the course leader and academic supervisor prior to the commencement of the work. Each student is required to submit a formal project report/paper on the outcomes of the work.

Learning Outcomes:

Cognitive (Knowledge, Understanding, Application, Analysis, Evaluation, Synthesis)

On successful completion of this module, students will be able to: 1. Choose and progress a methodology appropriate to the research problem with emphasis on prior developments in the Digital Futures Lab 2. Demonstrate a set of research skills including developing a research question, sourcing information, analysis, interpretation, and project management. 3. Critically evaluate and assess undertaken work by comparing it to the published literature in the field 4. Present the self-directed research that they have undertaken into complex and emerging areas to define potential problems. 5. Formulate, design, implement, and test novel approaches to the solution of new problems suggested by the chosen research topic. 6. Formally present their work by writing a research thesis to reflect the progress, outcomes, and conclusions of the project.

Affective (Attitudes and Values)

On successful completion of this module, students will be able to: 1. Develop and/or demonstrate self-motivation. 2. Develop and/or demonstrate competencies in time management and project management

Psychomotor (Physical Skills)

N/A

How the Module will be Taught and what will be the Learning Experiences of the Students:

Self-study with regular discussions with the academic supervisor.

Research Findings Incorporated in to the Syllabus (If Relevant):

Prime Texts:

Other Relevant Texts:

Programme(s) in which this Module is Offered:

MECVAITFA - COMPUTER VISION AND ARTIFICIAL INTELLIGENCE

Semester(s) Module is Offered:

Summer

Module Leader:

Generic PRS