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Study-Unit Description
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CODE CSA3803

 
TITLE Advanced Project

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

 
ECTS CREDITS 10

 
DEPARTMENT Artificial Intelligence

 
DESCRIPTION This is a project intended to be taken by students from Faculty of Science who choose Computer Science and Artificial Intelligence (CSAI) as an area of study. The aim is to assess the student’s ability in CSAI where this area has not been chosen for the final year project.

An advanced project is a purpose-designed piece of work that is intended to assess the student's mastery of the major project-related skills, including:
(i) intellectual engagement: the ability of the student to discover, absorb, master and reflect upon theoretical knowledge, accepted practice and methodologies relating to the field in question,
(ii) engineering: the ability to successfully harness theory in the service of the practical task at hand, as judged by the quality of any artifacts produced,
(iii) self organisation: this includes aspects of project planning (the ability to divide the project into manageable subparts), time management (i.e. the ability to define and execute a schedule for achieving the subparts) and personal drive (ability to take own initiative) and
(iv) communication: the ability to successfully present the work undertaken both in written and oral form.

Students are expected to produce:
(i) an artifact such as a working program, a proof, a description of a process or relation, or a framework / methodology
(ii) a report, up to 15,000 words in length, that comprises a review of the literature and background, aims and objectives, chosen approach, a written account of the task as carried out, description of the artifact (with relevant documentation in the case of a working program), conclusions and bibliography, and
(iii) a presentation of duration 10 mins in which to present the work undertaken before an audience including the supervisor and examiner.

Textbooks:

• http://www.um.edu.mt/ict/UG/DayDegrees/AdvPro

 
STUDY-UNIT TYPE Project

 
METHOD OF ASSESSMENT
Assessment Component/s Resit Availability Weighting
Presentation & Oral Examination Yes 15%
Report Yes 85%

 
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.
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For Undergraduate (Day) and Postgraduate students.

 

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13th Edition of EY’s Annual Attractiveness Event

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The 13th Edition of EY’s Annual Attractiveness event will be held on 25th October 2017 at the InterContinental Hotel,

St. Julians. It is titled "Thinking without the box: disruption, technology and FDI".

 

The  students' invitation and more information can be found here

The conference programme can be found here

 

 
 

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