To be an international partner in computing education, research and development with our graduates impacting the society as computing professionals and entrepreneurs demonstrating professional integrity and leadership.

To disseminate computing education to the students of the department emphasizing entrepreneurship and ethical standards while encouraging them to remain abreast with latest developments in computing tools and processes and use their skills to identify and find solution to society’s problems; And to use department’s resources and computing expertise to help industry, government and community in solving their problems.

1. Excel in a career utilizing their education in Computer Engineering;
2. Continue to enhance their knowledge;
3. Be effective in multidisciplinary and diverse professional environments;
4. Provide leadership and demonstrate professional integrity.

1. Engineering Knowledge: An ability to apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
2. Problem Analysis: An ability to identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.
3. Design/Development of Solutions: An ability to design solutions for complex engineering problems and design systems, components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
4. Investigation: An ability to investigate complex engineering problems in a methodical way including literature survey, design and conduct of experiments, analysis and interpretation of experimental data, and synthesis of information to derive valid conclusions.
5. Modern Tool Usage: An ability to create, select and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, to complex engineering activities, with an understanding of the limitations.
6. The Engineer and Society: An ability to apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice and solution to complex engineering problems.
7. Environment and Sustainability: An ability to understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
9. Individual and Team Work: An ability to work effectively, as an individual or in a team, on multifaceted and /or multidisciplinary settings.
10. Communication: An ability to communicate effectively, orally as well as in writing, on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
11. Project Management: An ability to demonstrate management skills and apply engineering principles to one’s own work, as a member and/or leader in a team, to manage projects in a multidisciplinary environment.
12. Lifelong Learning: An ability to recognize importance of, and pursue lifelong learning in the broader context of innovation and technological developments.

A four years degree program leading towards a B.Sc. (Honours) Computer Science was introduced by the department in 1999 and another 4 years B.Sc. program in Computer Science and Engineering in 2001. For students enrolling from September 2003 onwards, B.Sc programs have been re-named and modified into four years B.Sc. Computer Science (CS) and four years B.Sc. Computer Engineering (CE) programs. Three students each from the graduating class of Computer Science and Computer Engineering may opt for a second degree in Computer Engineering and Computer science as the case may be, subject to fulfilment of prescribed conditions, from fall semester 2011. The B.Sc CS program is accredited by National Computing Education Accreditation Council (NCEAC) and B.Sc. (CE) program is accredited by Pakistan Engineering Council (PEC). PhD. program in Computer Science was launched in 2002 and twenty three students have completed their Ph.D. degree to date from this department. M.Sc. and PhD programs in Computer Engineering have been launched from 2007.

With expansion in academic programs, computer laboratories in the department have risen to nine spread over two buildings. These laboratories are equipped with 350 computers fully networked with state of the art servers. Computer to student ratio is 1:1. The department is proud of its no-piracy policy. All the operating systems installed are either licensed or open-source operating systems. Microsoft, USA, has an academic alliance with the department. Oracle has also contributed software worth more than Rs 40 million to the department. Department’s computing facilities are linked with Research Center, Main Library and other teaching departments through a fiber optic backbone. Multimedia projectors are fitted where required and Internet facility is available in all laboratories. Department s class rooms are located in a third building known as New Lecture Theaters. In addition, the department has two Electronics Systems Laboratories, one Industrial Automation Laboratory and One Embedded Systems Laboratory.

Current topics of research of CSE faculty members include, but are not limited to, the following areas: Estimation Theory, Signal Processing, Modern Control and related areas. Data bases, Semantic Web and related areas, Communications, Wireless Telecommunication and related areas, Software Engineering, Modelling and related areas, Data mining, Data analytics, Data warehousing, Artificial Intelligence and related areas, Artificial Intelligence, Multi-agents expert systems and related areas, Information Retrieval, Web Engineering, data bases and related areas Computer Networks and related areas Bio-informatics, Speech and Language Processing.