MSc. in Artificial Intelligence - uom.lk · The MSc/ PG Diploma in Artificial Intelligence degree ... “C+” and it will be used for calculating Grade Point Average (GPA). Grade

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.

PROGRAMME HANDBOOK 2019

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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.


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


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


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

[email protected]

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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MSc. in Artificial Intelligence - uom.lk · The MSc/ PG Diploma in Artificial Intelligence degree ... “C+” and it will be used for calculating Grade Point Average (GPA). Grade