msc. in artificial intelligence - uom.lk · the msc/ pg diploma in artificial intelligence degree...
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MSc. in Artificial Intelligence
Department of Computational Mathematics
2019 Intake
MASTER OF SCIENCE / POST GRADUATE DIPLOMA IN
ARTIFICIAL INTELLIGENCE
Faculty of Information Technology
The University of Moratuwa
COURSE DESCRIPTION
The Faculty of Information Technology, University of
Moratuwa has announced the first ever MSc. Degree in
Artificial Intelligence in Sri Lanka.
The primary objective of the MSc programme is to impart
the knowledge of theory and applications of modern
Artificial Intelligence techniques to devise intelligent
software solutions for tomorrow’s world thereby ensuring
multifaceted career paths for the potential candidates.
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COURSE MODULES AND
PROGRAM STRUCTURE
The Post Graduate Diploma is one year (part time) of
duration while MSc. is of two years’ (part time) of
duration. Post Graduate Diploma in Artificial Intelligence
and MSc in Artificial Intelligence offer common curricula
that include 27 credits from compulsory modules and 13
credits from elective modules.
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The program is structured as a six semesters with each
semester consisting of 14 weeks of academic activities.
Lecturers will be held during weekends from 8:00 AM to
5:00 PM in the University of Moratuwa. Lectures are also
supplemented with online interactions via Moodle.
The first two semesters of the program consist of taught
course modules while the third semester is a mix of
taught courses and research. The final two semesters are
used for the research project and dissertation writing.
Minimum pass criterion for the Post Graduate Diploma is
40 credits. Those who satisfy this criterion at the end of
the first year would be able to select one of the following
two options:
(a) Continue for the MSc in Artificial Intelligence
(b) Exit the programme with a Post Graduate Diploma
Those who continue to follow MSc in Artificial Intelligence
will be offered three more courses (7 credits): Research
Methodologies, Philosophy of Science and Scientific
Communications in the second year together with a
Research Project (20 credits) of one-year duration.
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Note:
Offering of a particular specialization, or a course module during a given academic year is subject to
having the minimum number of registrations.
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MODULE CODE
MODULE NAME CREDITS
COMPULSORY MODULES
IT 5107 Programming Essentials for Artificial Intelligence
2
IT 5421 Essentials of Artificial Intelligence 3
IT 5825 Mathematics for Artificial Intelligence 3
IT 5306 Distributed Computing Concepts for AI 2
IT 5423 Deductive Reasoning and Logic Programming 3
IT 5427 Neuroscience & Neurocomputing 3
IT 5408 Evolutionary Computing 2
IT 5410 Artificial Cognitive Systems 2
IT 5411 Fuzzy Reasoning 2
IT 5222 Data Mining and Data Warehousing 3
IT 5405 Software Agents and Swarm Intelligence 2
IT 6921 Research Methodologies (for MSc)* 3
IT 6902 Philosophy of Science (for MSc)* 2
IT 6903 Scientific Communication (for MSc)* 2
IT 6999 Dissertation (for MSc) 20
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MODULE CODE
MODULE NAME CREDITS
ELECTIVE MODULES
IT 5302 Cryptography and Security Mechanisms 2
IT 5422 Semantic Web and Ontological Engineering 3
IT 5406 Intelligent Solutions for Industry 2
IT 5409 Natural Language Processing 2
IT 5502 Embedded Robotics 2
IT 5512 Inductive Logic Programming 2
IT 5413 Kansei Systems 2
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ELIGIBILITY REQUIREMENTS
The MSc/ PG Diploma in Artificial Intelligence degree
program requires a prospective candidate to fulfill the one
of the following eligibility criteria for course enrollment.
OR
OR
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The Honours degree of the Bachelor of Science in
Information Technology or the Honours degree of the
Bachelor of Science in Information Technology and
Management of the University of Moratuwa, Sri Lanka;
The Honours degree of the Bachelor of the Science of
Engineering of the University of Moratuwa, Sri Lanka
in a relevant field of specialization as may be approved
by the Senate;
A four-year degree from a recognized university in
Information Technology/ Computer Science/ Computer
Engineering or any other related field as may be
approved by the Senate;
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OR
OR
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A four year honours degree from a recognized
university in a relevant field with a minimum of one
year of appropriate experience as may be approved by
the Senate;
A three-year degree from a recognized university in a
relevant field with a minimum of two years of
appropriate experience as may be approved by the
Senate;
Any recognized category of membership of a recognized
professional institute, obtained through an academic
route, with a minimum of two years of recognized
appropriate experience obtained after the membership,
as may be approved by the Senate.
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SELECTION PROCESS
The selection to the MSc./ PG Diploma in Artificial
Intelligence degree program is through an open
competitive process. The applicant’s educational
qualifications, professional qualifications, commitment to
advanced study, demonstrated aptitude for research,
English language skills required for preparation of
study/research outcomes and knowledge dissemination,
and academic/professional references all contribute to
the evaluation of a candidate.
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Following are the specific steps involved in the selection
process:
1 Each applicant is evaluated for the conformity with the
applicable eligibility criteria based on the information provided
with the application. All applicants satisfying the eligibility
criteria will be invited to a selection interview.
2 The applicants who were successful at the application selection
process will face an interview of 5-10 minutes’ duration by an
interview panel of not less than three persons. The interview
will ascertain the applicant’s suitability and competency for the
study program.
3
Based on the marks received by each applicant for the selection
interview, the applicants will be ranked and placed into a
“Selected Candidates List” and a “Waiting List”. After the
completion of the selection process, all applicants will be
informed of their application status. If an applicant from the
Selected Candidates List fails to enroll in the study program
within the stipulated period, that opportunity will be afforded
to an applicant from the Waiting List.
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PARTICIPATION IN THE
ACADEMIC PROGRAMME
80% attendance is usually required in lectures, as specified
under clause 4.1.1(a) of the By-Law.
Participation is compulsory in assignments, as specified
under clause 4.1.1(b) of the By-Law.
Undertaking research in a specific area is compulsory, as
specified in clause 4.1.1(c) of the By-Law.
The Masters degree programme is expected to be completed
in the normal duration, but may go on till the permitted
duration of study without the need of an extension as
specified under section 5 of the By-Law.
It is the responsibility of the student to obtain an extension
to the permitted duration, through the Head of Department.
Such requests to extend the duration will be taken,
considering the progress of the student at the time of
request.
Prior approval must be obtained in writing from the
University, with the necessary documentation, for leave of
absence (as defined by the Senate). Only such leave will be
considered for any official purpose, such as considering a
subsequent attempt as a first attempt.
Only approved leave obtained on medical grounds will be
normally be considered by the Senate in extending the
maximum duration of study.
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EVALUATION AND GRADING
The performance of each student in each module will be
evaluated by continuous assessment (CA) and end-of-
semester examination (WE).
The CA component in a module normally carries a
weightage of not less than 30% and not more than 60% of
the total marks.
The continuous assessment of a student may be based on a
specified combination of assignments including
coursework, project work, design project work, laboratory
work, tutorials, field trips, field camps, quizzes,
presentations, term papers and participation in the course
activities.
Each Candidate should obtain at least 40% from each of CA
and WE components to obtain a pass grade for a module.
Grade C+ or above is required to earn credit for and pass a
module.
A student failing to reach 40% in one of CA or WE
components receives an incomplete grade I, and is required
to repeat only the failed component/s as a repeat candidate
to complete the module.
A student obtaining at least 40% in each of CA and WE
components but fails to pass a module receives an
incomplete grade I, and is required to repeat either of the
component/s as a repeat candidate to complete the module.
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A student failing to reach 40% in both CA and WE
components receives an F grade, and must repeat both
components in order to upgrade the result.
The grades F or I can be improved up to a C+ grade and
considered for calculating the GPA. Students who wish to
upgrade need to complete their examinations and obtain the
upgraded grade before the relevant final board of examiners
after the graduation requirements are met.
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The grade achieved for each module will be entered on the
student’s permanent record in the registry. The grade at
the first attempt or the improved grade earned at a
subsequent attempt, if any, will be recorded.
Except when an Academic Concession has been granted,
the highest grade obtainable at a repeat attempt is the grade
“C+” and it will be used for calculating Grade Point Average
(GPA).
Grade N signifies an Academic Concession granted, in the
event a student is unable to sit for the WE component due
to illness or other compelling reason accepted by the Senate.
In such instances the student must make an appeal, with
supporting documents, to the Senate through the Director
Postgraduate Studies for an Academic concession.
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Letter grades based on the Grade point system and
corresponding description, as illustrated in the Table 5.1
will be used to express the performance at each module.
Benchmark percentages are given for the guidance of the
examiner and may be changed upwards or downwards by
the moderator in consultation with the examiner.
Table 5.1 Grading System
Benchmark Percentage
Grade Grade Point
Description
85 and above A+ 4.2
75 to 84 A 4.0 Excellent
70 to 74 A- 3.7
65 to 69 B+ 3.3
60 to 64 B 3.0 Good
55 to 59 B- 2.7
50 to 54 C+ 2.3 Pass
I 0.0 Incomplete
F 0.0 Fail
N --- Academic
Concession
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The Grade Point Average (GPA) is calculated based on the
summation of Grade Points earned for all modules
registered for credit (except those awarded with academic
concession or withdrawn) weighted according to number of
credits, as follows.
𝐺𝑃𝐴 = ∑ 𝑛𝑖 × 𝑔𝑖
∑ 𝑛𝑖
where 𝑛𝑖 is the number of credits for the 𝑖 𝑡ℎmodule and
𝑔𝑖 is the grade points earned for that module.
The GPA is rounded to the nearest second decimal place
and reported on the transcript.
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ACADEMIC CONCESSION
A student who has missed a WE or any other course
requirements because of illness or other compelling reason
may appeal with supporting documents to the Director
Postgraduate Studies through the Head of Department for
an Academic Concession. In case of an examination, the
student should submit an application with supporting
documents within two weeks from the date of an
examination. In instances where a student misses any other
course activity such as CA, the student should submit the
application with supporting documents before the last date
of academic activities of the relevant semester or term.
An Academic Concession may be granted for medical
reasons and other exceptional circumstances subject to the
approval by the Senate of the University.
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COURSE FEE AND
PAYMENT STRUCTURE
The total fee for the course is Rs. 454,500/-, which
includes a registration fee of Rs. 5,000/- and a course
fee of Rs. 440,000/-. It can be paid according to either
plan A or B as shown below.
Course registration fee - Rs. 5,000/- (by 01st August 2019)
Full course fee - Rs. 449,500/- (by 01st September 2019)
Course registration fee - Rs. 5,000/- (by 01st August 2019)
Non Refundable Library Deposit - Rs. 5,000/-
(by 01st September 2019)
Refundable Library Deposit (per book) – Rs. 2, 500/-
(by 01st September 2019)
First installment – Rs. 245,000/- (by 01st September 2019)
Second installment – Rs. 195,000/- (by 01st June 2020)
PLAN - A
PLAN - B
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HOW TO APPLY
Application form and other relevant information can be
obtained from the Assistant Registrar of the Faculty of
Information Technology, University of Moratuwa, Katubedda,
Moratuwa or download from:
http://www.mrt.ac.lk/web
The duly filled application should be submitted with a paying in
voucher obtained from any branch of the Bank of Ceylon for Rs.
5000/= (being the application fee) drawn in favor of the Bursar,
University of Moratuwa, Account No 70993353 together with
certified copies of degree certificate or other professional
qualification certificate, relevant work experience certificates
and the birth certificate.
Your application together with other documents stated above
must be sent under registered post to:
(Please indicate “Application for MSc/PG Dip in AI 2019” on
the top left hand corner of the envelop).
Coordinator
MSc/PG Dip in Artificial Intelligence
Department of Computational Mathematics
Faculty of Information Technology
University of Moratuwa
Katubedda, Moratuwa.
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CONTACTS
Immediate contact:
Dr. Upeksha Ganegoda
Course Coordinator: Dr. Sagara Sumathipala [email protected]
Mobile: 077-693-5825
Address:
Faculty of Information Technology Department of Computational
Mathematics University of Moratuwa
Katubedda, Moratuwa
Phone: 0112650301 Ext: 8209
www: http://www.mrt.ac.lk/web
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