BSc Computer Science (Artificial Intelligence)


BSc Computer Science (Artificial Intelligence)

Why Study BSc Computer Science (Artificial Intelligence)

Computer Science, for its part, studies the understanding, design, implementation and the use of computing systems and encompasses both hardware and software. Software Engineering which is similar to Computer Science with more focus on Software.

The programme helps develop a thorough understanding of the theoretical and practical aspects of Computer Science and Software Engineering and of their interrelationships. It helps develop graduates possess a thorough understanding of the theoretical, practical, and engineering aspects of Computer Science and Software Engineering and equip students with advanced scientific and engineering skills in the field of Computer Science and Software Engineering.

The programme is designed to help students build on the inter-disciplinary research skills and enable students to develop communication skills, initiative, professionalism and the ability to work independently as well as with others

 

Related linkFees and Payments

 

Curriculum

Qualification

Minimum Score Required

UAE Curriculum & ADEC

General Track (Business & Computer Science Programmes)

 70%

Advanced Track (Business & Computer Science Programmes) 60%

UAE Curriculum and ADEC

General Track ( Architecture and Engineering Programmes)

90%

Candidates from the General track must also have a score of 90% or above in Math and Science. Also they  must pass a preparatory Module in physics.

Advanced Track ( Architecture and Engineering  Programmes)

For ADEC Track advanced Mathematics (Level III) and advanced Physics (Level III) are required

70%

GCC Curriculum

General Secondary School Certificate

60%

Indian Curriculum

Indian School Certificate awarded by ICSE or CBSE

60%

British

At least 7 GCE/GCSE/IGCSE subjects
A combination of GCSE (O level) and AS/A levels is acceptable provided that the subjects cover at least four of the following fields:

Math

Science

Languages

Humanities and Social Sciences

Arts and Design

Students must complete a minimum 11 years of schooling and a School Leaving Certificate must be provided.

The minimum grade for each level is:
C for the O level
E for the A / AS levels

American Curriculum

American High School Diploma providing grade 10, 11 and 12 Mark Sheets

Overall average of Grade "c” or minimum 60% ( 2.3 out of scale of 4)

IB

International Baccalaureate Diploma

 (24 Points)

 

 

Preparatory Modules (Non-Credit Bearing)

General Mathematics (to be offered to students who after testing show a requirement.

English I (to be offered to students entering the programme with TOEFL between 500 and 530)

Placement Tests

English: students with a score less than the minimum required must take English Language Modules and will be placed at the appropriate level.

Math:  student must provide the Math score required for their respective education track or pass a Math placement test.

Students who have not satisfied the Math requirements or passed the Math Placement test may be granted a conditional admission but they cannot register in any Math or any other modules that have Math as a perquisite until they satisfy the Math requirements. 

 

Probational Entry Requirement:

  • Candidates having school average of less than 70% but 60% or more may be considered for admission subject to following conditions:
  • The student has achieved 70% in at least one of the three most relevant subjects, as specified for each programme separately; and
  • An interview/ assessment/ other records of achievement submitted as part of the student application.
  • Similar student cases from other National Systems will be considered on case-to-case basis.
  • The non-English native speaking candidates must obtain an English Language proficiency equivalent to TOEFL score of PBT 500/iBT 61 or IELTS 5.0, or an equivalent using a standardized test approved by the Ministry of Higher Education and Scientific Research.
  • Candidates having 11 years of Education in British System (O levels/GCSE) may be considered for admission subject to an interview/ assessment as part of the student application.
  • Students who have completed 13 years of education may be considered exempt from equivalent first year modules in-line with the University policy on Advanced Standing as detailed later in this document.

English Language Requirement:

  • English Language proficiency equivalent to TOEFL score of PBT 500/iBT 61 or IELTS 5.0, or the UAE Ministry of Education EmSAT score of 1100.

 

Course Structure:

Programme Structure for Fist two years and First Two Terms of Year 3 (Common for CS-AI and CS-SE awards)

 

 

 

Term (1)

 

 

Term (2)

 

 

Term (3)

 

 

Yr

Module Number

Module Name

Cr

Module Number

Module Name

Cr

Module Number

Module Name

Cr

Total

Cr

1

IT101

Introduction to Computers

10

 MATH101

Calculus I

10

 STAT101

Introduction to Statistics

10

120

ENG101 

English 1

10

ENG102 

English 2

10

ENG103 

English 3

10

 

*University Elective

10

INF101

Computation & Logic

10

INF103

Data & Analysis

10

 

University Elective

10

INF102

Functional &  Object Oriented
Programming

10

INF104

Math for IT

10

2

INF201

Processing Formal and Natural Languages

20

INF203

Reasoning and agents

20

MATH203

Applied Probability

10

120

MATH204

Advanced Linear Algebra 

10

INF202

Algorithms, Data structures, and learning

20

MATH201

Vector Spaces and Polynomials

10

INF208

Introduction to Computer Systems

10

MATH202

Combinatorics

10

INF209

Introduction to Software Engineering

10

3

INF301

 

System Design and practical Project

20

INF304

Algorithms and Data Structures

10

 

 

Specific modules for CS-AI and CS-SE awards are shown in Tables 1.5 and 1.6 below.

80 for common first term and second term

INF305

Database systems

10

INF302

Human-Computer Interaction

10

INF306

Computer Communications and Networks

10

INF303

Professional Issues

10

INF307

Operating systems

10

 

* List of University Electives for General Education is given in Table 1.5 below*

** For students who after testing show a requirement, a non credit bearing MATH001 will also be offered in the beginning of first year

 

Term 3Year 3 & Year 4 Structure for CS-AI Award

 

Table 1.6             Programme Structure for Last two years for CS-AI award

 

 

Term (1)

 

 

Term (2)

 

 

Term (3)

 

 

Yr

Module Number

Module Name

Cr

Module Number

Module Name

Cr

Module Number

Module Name

Cr

Total

Cr

3

 

 

First two terms common

for CS-AI and CS-SE awards,

Shown in table 1.4 above

INF308

Computational complexity

10

40 for third term and 120 for full year

AI301

Introductory Applied Machine Learning

10

AI302

Foundations of Natural Language Processing

10

AI303

Introduction to Vision and Robotics  

10

4

INF401

Computer Animation and Visualisation

10

INF402

Distributed Systems

10

 

 

 

120

 

AI Elective

10

AI401

Machine Learning & Pattern Recognition

10

 

AI Elective

10

 

CS/AI/SE Elective

10

 

CS Elective

10

 

CS Elective

10

INF403

Honours Project (Informatics)

40

 

 

Electives

 

Table 1.8             Programme Specific Elective Modules

 

AI Electives

 

Module Code

Module Name

Cr.

*AI301

Introductory Applied Machine Learning (for CS-SE)

10

*AI302

Foundations of Natural Language Processing (for CS-SE)

10

*AI303

Introduction to Vision and Robotics  (for CS-SE)

10

*AI401

Machine Learning & Pattern Recognition (for CS-SE)

10

AI402

Logic Programming

10

AI403

Intelligent Autonomous Robotics

10

AI404

Adaptive Learning Environments

10

AI405

Machine Translation

10

AI406

Natural Language Generation

10

AI407

Agent Based Systems

10

 

*These modules are core modules for CS-AI programme but available as electives for Cs-SE award

 

SE Electives

 

Module Code

Module Name

Cr.

SE402

Embedded Software

10

SE403

Energy Aware Computing

10

SE404

Data Integration and Exchange

10

*SE301

Computer Security (for CS-AI)

10

*SE401

Software Testing (for CS-AI)

10

*SE302

Software Engineering with Objects and Components (for CS-AI)

10

*SE303

Software Architecture, Process, and Management (for CS-AI)

10

*These modules are core modules for CS-SE programme but available as electives fro CS-AI award

 

CS Electives

 

Module Code

Module Name

Cr.

CS401

Compiling Techniques

10

CS402

Advanced Databases

10

CS403

Parallel Programming Languages and Systems

10

CS404

Text Technologies

10

List of University Electives for Year 1 BSc CS-AI and BSc CS-SE awards:

 

Module Code

Module Descriptor

SOSC104

Diversity and Multiculturalism

SOSC101

Introduction to Sociology

ARCH103

Introduction to Sustainability

SOSC102

Introduction to Comparative Politics and Government

SOSC103

Introduction to Ethics

BUS104

Principles of Management

Learning Outcome:

General Education Learning Outcomes

 

The following outcomes will be achieved by all students as a result of completing the University-wide general education modules for first year.

 

By completing the general education modules a student will:

 

KNOWLEDGE AND UNDERSTANDING

 

1      Gain knowledge and understanding of key concepts related to English, mathematics, and the use of computers.

2      Develop an understanding of citizenship through the transfer of knowledge relating to humanities and social sciences issues and challenges.

3      Acquire knowledge and competencies for the use of quantitative methods based upon introductory statistics and numerical techniques

 

INTELLECTUAL SKILLS

 

4      Acquire ability to discuss, and improve citizenship skills through competency and understanding in the areas of society, politics, economic development, cultural diversity and in environment.

5      Be able to critically analyse and discuss opposing ideas, recognising information needs and sourcing.

6      To be familiar with university academic and student culture and environment

 

SUBJECT PRACTICAL SKILLS

 

7      Acquire the ability to apply skills in all areas of the English language, in mathematics, and in the use of computers

8      Be able to apply understanding of the social sciences to develop critical awareness, enquiry and thought.

 

TRANSFERABLE SKILLS

 

9      Gain knowledge and skills required for successful performance as a university student

10   Drawing upon the undergraduate educational experience and culture, be capable of engaging constructively and purposefully in a range of different activities provided by the different modules constituting the general and introductory Year one curriculum

11   Exercise the appropriate skills of comprehension and communication using English language, quantitative methods and computer use, for the understanding and critical review of a range of scientific and cultural areas

12   Recognise, understand and respect other perspectives and cultures

 

Learning Outcomes of the BSc CS-AI Programme (Programme Specific Content)

 

The programme provides an opportunity for students to develop and demonstrate knowledge and understanding, qualities, skills and other attributes in the area of Computer Science and Artificial Intelligence by following subject specific modules (4 modules in first year and the rest in second, third and fourth year).

By the end of the programme a student should be able to:

 

KNOWLEDGE AND UNDERSTANDING

 

K1     understand the principles and mechanisms underlying various kinds of computing processes

K2     understand how to deal more effectively with Computer Science tools and techniques

K3     understand how to represent and reason about knowledge in a computer

K4     have a knowledge and understanding of the principles of operation of computers from application programs down through system software to hardware and of computer networks

K5     understand the concept of abstraction and its importance in the design of computer-based systems

K6     understand the key aspects of the software development process

K7     understand some of the underlying mathematical concepts used to reason about computers and computer-based systems

K8     have an awareness of the social, professional, ethical and legal issues involved in the use of computing systems

K9     have an awareness of key issues in Computer Science and Artificial Intelligence that will continue to challenge researchers in the future

 

INTELLECTUAL SKILLS

I1       specify and design intelligent and traditional computer-based systems, using formal design procedures where appropriate

I2       identify problems requiring a combination of techniques from both Computer Science and Artificial Intelligence

I3       derive abstract representations and formulate appropriate solutions for problems

I4       understand theoretical ideas and how they are realised in practice using computers

 

SUBJECT PRACTICAL SKILLS

P1     develop and implement intelligent and traditional computer-based systems

P2     use support tools from Computer Science and Artificial Intelligence during the development process

P3     formulate appropriate assessment criteria and evaluate computer-based systems

P4     apply principles of human-computer interaction to the evaluation and construction of systems

P5     operate computing equipment and software systems effectively

 

TRANSFERABLE SKILLS

T1      deploy logical, analytical, and problem solving skills and to synthesise solutions

T2      show self-direction and time management skills when working independently

T4      provide and accept peer evaluation

T5      communicate effectively through a variety of media including oral, visual, written, diagrammatic and on-line

T6      make effective use of learning materials and to acquire and apply knowledge from a variety of sources.

  • Humanities and Arts Modules

Introduction to Comparative Politics and Government

This module is an introduction to the fields of politics and government on an international level.  The module will focus on acquiring an understanding of basic concepts, theories and models of diversity and multiculturalism as well as their basic social, cultural and political dimensions, including a number of recent areas of controversy, such as governance and multicultural management.  The module will also cover the field on an international level, including information on case studies, particularly those relevant to the UAE and region, that have to do with cultural and social issues in organisations with multicultural staff, leadership in a multicultural society, and providing services for a diverse and multicultural population. 

 

  • Diversity and Multiculturalism

This module is an introduction to the interdisciplinary field of diversity and multiculturalism studies.  The module will focus on acquiring an understanding of basic concepts, theories and models of diversity and multiculturalism as well as their basic social, cultural and political dimensions, including a number of recent areas of controversy, such as governance and multicultural management.  The module will also cover the field on an international level, including information on case studies, particularly those relevant to the UAE and region, that have to do with cultural and social issues in organisations with multicultural staff, leadership in a multicultural society, and providing services for a diverse and multicultural population. 

 

Islamic Module

  • Islamic Values

The purpose of this module is to provide students with knowledge and discourse on fundamental Islamic values. Student will gain solid knowledge and understanding of the basic fundamentals of Islam, its values, and how values are connected to human development. The module also allows students to discuss research and report findings on issues related to Islamic societies as they highlight some of the practices of Islamic values shared by individuals and in a special connection to the UAE context.

 

Social or behavioral Sciences

  • Introduction to Sociology

This module is an introduction to the field of sociology, including basic concepts, theories and models of social structures, institutions, forces, change, and social behaviour as well as major sociological traditions of inquiry.  Important topics include socialisation, social stratification, social constructions of knowledge, issues of ethnic, race, and gender relations, the sociology of work, and the sociology of politics.  The module will also relate the general field of sociology to topics relevant to the UAE and region, focussing on social change, diversity, and cultural constructions of society.

 

  • Principles of Management

This module introduces students to the nature and the structure of business firms and the principles of organization. The course defines, explains and discusses the management functions, namely, planning, organizing, leading and controlling. Leadership, ethics, motivation, culture and organization structure will also be explored.

 

Credit Transfer

  • BUiD does not normally award credit for experiential learning.
  • BUiD does consider credit transfer arrangements towards their undergraduate programmes from other higher education institutions subject to the following conditions.
  • The applicant meets BUiD’s formal entry requirements.
  • The relevant Faculty is able to determine that the coursework was taken at undergraduate level and is at least equivalent to the credit rating available for one module of the programme for which the credit transfer is being considered.
  • The student attained a minimum GPA of 2.0 on a 4.0 scale or equivalent for the credit of a module to be transferred.
  • The institution at which the programme was taken is recognised by the MOHESR or licensed or officially recognised by the Department/Ministry of Education in the home country (and so attestable by MOHESR)
  • The Faculty only allows exemptions from modules with content equivalent to that qualification providing the transferable points.
  • Credit points can only be transferred where the work done for the previous qualification would allow the student to successfully perform the assessment exercise for the exempted module.
  • The decision as to whether a previously taken qualification or credit accumulation serves to exempt a student from a current module rests with the Board of Examiners on the recommendation of the Dean of the Faculty.
  • Credits which have already formed part of an award are not acceptable for transfer.
  • Credit transfer will not be awarded for study completed as part of a credit-bearing programme of continuing education. 
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