This millennium is an era of innovation and change, and this change is not limited to any specific industry rather it is wrapping around every walk of life. Education is no different. Traditional boundaries between different educational specializations are fading away. This disruptive trend has given birth to many professions which were never thought of before, for example medical physicists, computational biologists, computational historians etc. One common aspect in all of these different interdisciplinary educational specializations is that technology, specifically computational technology is taking center stage. This is now no surprise that the future will be shaped by the people who will have the capability of working with these computational machines, also known as Computers. As a learning facilitator, I encourage our youth to embark on the journey of thinking and to build an ability to question what are the limits of current technology and how to make a dent in those limits.

Dr. Rizwan Ahmed Khan
Professor
Dean, Faculty of Information Technology


At the Salim Habib University (SHU), we offer BS program in computer science that is pursuant to the latest technological trends. Consistent with our vision to be a leader in innovation, research, and dissemination of knowledge we aspire to impart education in an effective and contemporary manner so that our students can cope up with the rapid changes in the market needs. The curriculum of offered program involves the study of data and data structures and the algorithms to process these structures; of principles of computer architecture-both hardware and software; of addressing particular challenges in areas such as robotics, computer vision, artificial intelligence or digital forensics; and of language design, structure, and translation technique. Our faculty consists of members with local and international research and industry experience. The Computer Science department at SHU offers a flexible study environment where students are empowered to focus on inter-disciplinary / specialized areas as per their motivation.

The Department of Computer Science offers an exceptional blend of theoretical research and extensive practical training. It transforms students into skillful professionals ready to take up real-world challenges in the industry.

Department Mission & Objectives

Our mission is to produce graduates who are capable of taking a lead in creating a knowledge-based economy by solving real-life problems. Our graduates:

  • Understand basic principles that underlie modern computational technology and are proficient in using it.
  • Are capable of creatively applying their understanding of principles of computer science to solve challenging problems.
  • Exhibit leadership qualities with excellent communication skills and the ability to function effectively as part of a team.
  • Demonstrate ethical responsibility in professional endeavors.

We also aim to create an environment that is conducive to professional growth through carrying out research projects and undergoing training.


Vision

The program’s vision is to produce globally competitive computer science graduates with innovative leadership capabilities. Program will inculcate critical and professional thinking through engagement in cutting edge innovation and research activities.

Mission

The program’s mission is to provide quality education to our graduates with well-balanced emphasis on conceptual knowledge and hands-on laboratory experience to enable them practice their profession with integrity and to better serve society.

Objectives

The program objectives are to prepare graduates with deep knowledge and outstanding computational skills that makes them able to:

  • Demonstrate a sound understanding of computing fundamentals with an ability to exercise critical judgment across a range of related issues.
  • Critically analyze and design solutions for complex computing problems with best practices and use of modern tools and techniques.
  • Function and communicate effectively as an individual and as a leader / member of a team having understanding of professional ethics and social responsibility.
  • Adapt technological advancements through active participation in life-long learning to serve society.

Program Learning Outcomes (PLOs)

PO. No PO Attribute PLO Statement
PLO1                 Academic Education To prepare graduates as computing professionals
PLO2 Knowledge for Solving Computing Problems Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements
PLO3 Problem Analysis Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines
PLO4 Design/ Development of Solutions Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations
PLO5 Modern Tool Usage Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
PLO6 Individual and Team Work Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings
PLO7 Communication Communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions
PLO8 Computing Professionalism and Society Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.
PLO9 Ethics Understand and commit to professional ethics, responsibilities, and norms of professional computing practice
PLO10 Life-long Learning Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional

Scheme of Studies BS Computer Science
(For Pre-Engineering Students)

Course Code Course Title Credit Hours
Year 1
Semester - I
CSC105 Programming Fundamentals 3+1
CSC104 Introduction to Information and Communication Technologies 2+1
MTH103 Calculus and Analytical Geometry 3+0
ENG101 Functional English 2+1
PST101 Pakistan Studies 2+0
Credit Hours 15
Semester - II
CSC103 Object Oriented Programming 3+1
ENG106 Presentation and Communication Skills 2+1
PHC102 Applied Physics 3+0
MTH111 Multivariate Calculus 3+0
IST102 Islam and World Religions 2+0
Credit Hours 15
Year 2
Semester - III
ELE203 Digital Logic Design 3+1
CSC201 Data Structures and Algorithms 3+1
ENG201 Technical and Business Writing 3+0
MTH208 Linear Algebra 3+0
XXXX General Elective – I 2+1
Credit Hours 17
Semester - IV
CSC202 Computer Organization and Assembly language 3+1
CSC210 Discrete Structures 3+0
MTH302 Numerical Analysis 3+0
XXXX General Elective – II 3+0
MTH209 Differential Equations 3+0
XXXX Community Service 0+1
Credit Hours 17
Year 3
Semester - V
CSC303 Theory of Automata 3+0
CSC301 Operating Systems 3+1
CSC302 Software Engineering 3+0
CSC304 Database Systems 3+1
MTH301 Statistics 3+0
Credit Hours 17
Semester - VI
CSC305 Computer Networks 3+1
CSC306 Design & Analysis of Algorithms 3+0
CSCxxx CS Elective – I 3+0
CSCxxx CS Elective–II 3+0
xxxx General Elective – III 3+0
Credit Hours 16
Year 4
Semester - VII
CSC401 Final Year Project – I 0+3
CSC402 Parallel and Distributed Computing 3+0
CSC406 Compiler Construction 3+0
CSCxxx CS Elective – III 3+0
CSC407 Artificial Intelligence 3+1
Credit Hours 16
Semester - VIII
CSC403 Final Year Project – II 0+3
CSC404 Information Security 3+0
CSC405 Professional Practices 3+0
CSCxxx CS Elective – IV 3+0
CSCxxx CS Elective – V 3+0
xxxx General Elective – IV 3+0
Credit Hours 18

Scheme of Studies BS Computer Science
(For Pre-Medical Students)

Course Code Course Title Credit Hours
Year 1
Semester - I
CSC105 Programming Fundamentals 3+1
CSC104 Introduction to Information and Communication Technologies 2+1
MTH110 Basic Mathematics I 3+0
ENG101 Functional English 2+1
PHC102 Applied Physics 3+0
Credit Hours 16
Semester - II
CSC103 Object Oriented Programming 3+1
ENG106 Presentation and Communication Skills 2+1
ELE203 Digital Logic Design 3+1
MTH120 Basic Mathematics II 3+0
XXXX General Elective - I 3+0
Credit Hours 17
Year 2
Semester - III
MTH103 Calculus and Analytical Geometry 3+0
CSC201 Data Structures and Algorithms 3+1
ENG201 Technical and Business Writing 3+0
MTH208 Linear Algebra 3+0
XXXX General Elective – II 3+0
IST102 Islam and World Religions 3+0
Credit Hours 18
Semester -
CSC202 Computer Organization and Assembly language 3+1
XXXX General Elective – III 3+0
CSC210 Discrete Structures 3+0
CSC304 Database Systems 3+1
MTH209 Differential Equations 3+0
XXXX Community Service 0+1
Credit Hours 18
Year 3
Semester - V
CSC303 Theory of Automata 3+0
CSC301 Operating Systems 3+1
CSC302 Software Engineering 3+0
MTH111 Multivariate Calculus 3+0
MTH301 Statistics 3+0
PST101 Pakistan Studies 2+0
Credit Hours 18
Semester - VI
CSC305 Computer Networks 3+1
CSC306 Design & Analysis of Algorithms 3+0
CSCxxx CS Elective – I 3+0
CSCxxx CS Elective–II 3+0
MTH302 Numerical Analysis 3+0
Credit Hours 16
Year 4
Semester - VII
CSC401 Final Year Project – I 0+3
CSC402 Parallel and Distributed Computing 3+0
CSC406 Compiler Construction 3+0
CSCxxx CS Elective – III 3+0
CSC407 Artificial Intelligence 3+1
Credit Hours 16
Semester - VIII
CSC403 Final Year Project – II 0+3
CSC404 Information Security 3+0
CSC405 Professional Practices 3+0
CSCxxx CS Elective – IV 3+0
CSCxxx CS Elective – V 3+0
xxxx General Elective – IV 3+0
Credit Hours 18

List of Electives

Course Code Course Title Domain Credit Hours
CSCXXX Mobile Application Development Software Engineering 3
CSCXXX Web Engineering Software Engineering 3
CSCXXX Software Quality Assurance Software Engineering 3
CSCXXX Enterprise Resource Planning Software Engineering 3
CSCXXX Simulation and Modelling Software Engineering 3
CSCXXX DevOps Software Engineering 3
CSCXXX Computer Vision Artificial Intelligence 3
CSCXXX Data Science Artificial Intelligence 3
CSCXXX Big Data Analytics Artificial Intelligence 3
CSCXXX Machine Learning Artificial Intelligence 3
CSCXXX Natural Language Processing Artificial Intelligence 3
CSCXXX Human Computer Interaction Artificial Intelligence 3
CSCXXX Deep Learning Artificial Intelligence 3
CSCXXX Internet of Things Network and Security 3
CSCXXX Digital Forensics Network and Security 3
CSCXXX Cloud Computing Network and Security 3
CSCXXX Ethical Hacking Network and Security 3
CSCXXX Blockchain Technologies Network and Security 3

Prof. Dr. Engr. Rizwan Ahmed Khan

Professor & Dean (Department of Computer Science)

Email: rizwan.khan@shu.edu.pk

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Faculty Members

Person

Dr. Sheeraz Arif

Professor & Chairperson

Email: sheeraz.arif@shu.edu.pk

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Dr. Samita Bai

Assistant Professor

Email: samita.bai@shu.edu.pk

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Ms. Sidra Nasir

Lecturer

Email: sidra.nasir@shu.edu.pk

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Mr. Umer Mehmood

Lecturer

Email: muhammad.umer@shu.edu.pk

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Ms. Sumra Khan

Lecturer

Email: sumra.khan@shu.edu.pk

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Person

Ms. Saadia Karim

Lecturer

Email: saadia.karim@shu.edu.pk

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Mr. Muhammad Rahil

Lecturer

Email: muhammad.rahil@shu.edu.pk

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Person

Mr. Ateeque Rahman

Lecturer

Email: ateeque.rahman@shu.edu.pk

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Person

Mr. Muhammad Fahim

Lecturer

Email: muhammad.fahim@shu.edu.pk

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Mr. Muhammad Owais

Research & Teaching Associate

Email: muhammad.owais@shu.edu.pk

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Mr. Mansoor Ahmed

Research & Teaching Associate

Email: mansoor.ahmed@shu.edu.pk

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Ms. Sania Mariam

Research & Teaching Associate

Email: sania.mariam@shu.edu.pk

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Person

Mr. Abdullah Tariq

Research & Teaching Associate

Email: abdullah.tariq@shu.edu.pk

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