Vision Statement of the Department
Department of Software Engineering aims to be recognized as a leader in Software Engineering education and research through excellence in modern education and targeted research in emerging areas of Software Engineering.
Program Mission – Bachelor of Software Engineering
The mission of Bachelor of Software Engineering program is to prepare technically strong Software Engineers who can contribute effectively towards the nation, society and the world at large through effective problem solving skills, application of engineering knowledge, leadership and healthy lifelong learning attitude.
Program Educational Objectives
Software Engineering department aims to deliver a strong and coherent Software Engineering program for the development of skilled Software Engineers. The curriculum is inline with PEC and HEC regulations to equip students with latest skills for industry and research activities. Software Engineering graduates should achieve the following educational objectives:
PEO-1: Graduates should demonstrate competence in applying Software Engineering principles & practices in various phases of software/system development life cycle in their respective professional career.
PEO-2: Graduates should demonstrate effective team member or leadership skills with strong managerial skills and a sound sense of social responsibility for the sustainable development of society.
PEO-3:Graduates should demonstrate sustained career development and progression through ethical engineering practices, effective communication skills and continuous learning.
Program Learning Outcomes
PLO 1: Engineering Knowledge: An ability to apply knowledge of computer science, software engineering fundamentals and an engineering specialization to the solution of complex software engineering problems.
PLO 2: Problem Analysis: An ability to identify, formulate, research literature and analyze complex software engineering problems reaching substantiated conclusions using software engineering principles, natural sciences and engineering sciences.
PLO 3: Design/Development of Solutions: An ability to design solutions for complex software 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.
PLO 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.
PLO 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.
PLO 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.
PLO 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.
PLO 8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
PLO 9: Individual and Team Work: An ability to work effectively, as an individual or in a team, on multifaceted and /or multidisciplinary settings.
PLO 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.
PLO 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.
PLO 12: Lifelong Learning: An ability to recognize importance of, and pursue lifelong learning in the broader context of innovation and technological developments.
| Scheme of Studies | |
| Duration | 4 Years |
| Number of Semesters | 8 |
| Number of weeks per semester | 18 (16 for teaching and 2 for exams.) |
| Total number of credit hours | 134 |
| Non-Engineering Courses (Minimum) | 40 |
| Engineering Courses (Maximum) | 94 |
Semester Wise Breakdown of Courses
| 1st Year – SEMESTER 1 | ||||||
| # | Pre-Req | Course Code | Course Title Total | Credit Hours | Theory | Lab |
| 1 | None | CSC 110 | Computing Fundamentals | 3 | 2 | 1 |
| 2 | None | CSC 113 | Computer Programming | 4 | 3 | 1 |
| 3 | None | GSC 110 | Applied Calculus & Analytical Geometry | 3 | 3 | 0 |
| 4 | None | ENG 105 | Functional English | 3 | 3 | 0 |
| 5 | None | GSC 114 | Applied Physics | 3 | 2 | 1 |
| Semester Credit Hrs | 16 | 13 | 3 | |||
| 1st Year – SEMESTER 2 | ||||||
| # | Pre-Req | Course Code | Course Title Total | Credit Hours | Theory | Lab |
| 1 | – | GSC 221 | Discrete Mathematics | 3 | 3 | 0 |
| 2 | CSC 113 | CSC 210 | Object Oriented Programming | 4 | 3 | 1 |
| 3 | – | SEN 120 | Introduction to Software Engineering | 3 | 3 | 0 |
| 4 | ENG 105 | HSS 120 | Communication Skills | 3 | 3 | 0 |
| 5 | – | ISL 101 | Islamic Studies/Ethics | 2 | 2 | 0 |
| 6 | – | CEN 122 | Digital Design | 3 | 2 | 1 |
| Semester Credit Hrs | 18 | 16 | 2 | |||
| 2nd Year – SEMESTER 3 | ||||||
| # | Pre-Req | Course Code | Course Title Total | Credit Hours | Theory | Lab |
| 1 | CSC 210 | CSC 221 | Data Structures & Algorithms | 4 | 3 | 1 |
| 2 | SEN 120 | SEN 211 | Software Requirement Engineering | 3 | 3 | 0 |
| 3 | None | SEN 212 | Human Computer Interaction | 3 | 3 | 0 |
| 4 | None | GSC 121 | Linear Algebra | 3 | 3 | 0 |
| 5 | – | – | Supporting Elective – I | 4 | 3 | 1 |
| Semester Credit Hrs | 17 | 15 | 2 | |||
| 2nd Year – SEMESTER 4 | ||||||
| Pre-Req | Course Code | Course Title Total | Credit Hours | Theory | Lab | |
| 1 | CSC 221 | CSC 320 | Operating Systems | 4 | 3 | 1 |
| 2 | None | GSC 122 | Probability & Statistics | 3 | 3 | 0 |
| 3 | CSC 113 | CSC 220 | Database Management Systems | 4 | 3 | 1 |
| 4 | SEN 211 | SEN 221 | Software Design & Architecture | 3 | 2 | 1 |
| 5 | University Elective I | 3 | 3 | 0 | ||
| Semester Credit Hrs | 17 | 14 | 3 | |||
| 3rd Year – SEMESTER 5 | ||||||
| # | Pre-Req | Course Code | Course Title Total | Credit Hours | Theory | Lab |
| 1 | None | HSS 320 | Technical Writing & Presentation Skills | 3 | 3 | 0 |
| 2 | None | CEN 222 | Data Communication & Networking | 4 | 3 | 1 |
| 3 | SEN 221 | SEN 311 | Software Construction | 3 | 2 | 1 |
| 4 | University Elective II | 3 | 3 | 0 | ||
| 5 | SE Elective I | 3 | – | – | ||
| 6 | None | PAK 101 | Pakistan Studies | 2 | 2 | 0 |
| Semester Credit Hrs | 18 | 15 | 3 | |||
| 3rd Year – SEMESTER 6 | ||||||
| Pre-Req | Course Code | Course Title Total | Credit Hours | Theory | Lab | |
| 1 | CSC 113 | SEN 310 | Web Engineering | 3 | 2 | 1 |
| 2 | SEN 120 | SEN 321 | Software Quality Engineering | 3 | 3 | 0 |
| 3 | CSC 407 | Information Security | 3 | 3 | 0 | |
| 4 | SE Elective II | 3 | – | – | ||
| 5 | SE Elective III | 3 | – | – | ||
| 6 | Supporting Elective II | 3 | – | – | ||
| Semester Credit Hrs | 18 | |||||
| SUMMER | ||||||
| Pre-Req | Course Code | Course Title Total | Credit Hours | Theory | Lab | |
| – | – | Summer Internship | – | – | – | |
| 4th Year – SEMESTER 7 | ||||||
| # | Pre-Req | Course Code | Course Title Total | Credit Hours | Theory | Lab |
| 1 | ESC 498 | Project I | 3 | 0 | 3 | |
| 2 | SEN 120 | SEN 410 | Software Project Management | 3 | 3 | 0 |
| 3 | None | HSS 422 | Engineering Ethics | 3 | 3 | 0 |
| 4 | SEN 311 | SEN 411 | Software Re-Engineering | 3 | 3 | 0 |
| 5 | SE Elective IV | 3 | – | – | ||
| Semester Credit Hrs | 15 | |||||
| 4th Year – SEMESTER 8 | ||||||
| # | Pre-Req | Course Code | Course Title Total | Credit Hours | Theory | Lab |
| 1 | ESC 499 | Project II | 3 | 0 | 3 | |
| 2 | SE Elective V | 3 | – | – | ||
| 3 | University Elective III | 3 | – | – | ||
| 4 | University Elective IV | 3 | – | – | ||
| 5 | Supporting Elective III | 3 | – | – | ||
| Semester Credit Hrs | 15 | |||||
| Total Credit Hours | 134 | |||||
Software Engineering Supporting Elective
This category of courses equips students with knowledge related to supporting aspects of Software Engineering ranging from Mathematics, natural sciences and engineering. Students are required to take 3 courses to cover this domain.
| SE SUPPORTING ELECTIVE COURSES | |||||
| Pre-Req | Course Code | Course Title Total | Credit Hours | Theory | Lab |
| GSC 110 | GSC 210 | Differential Equations | 3 | 3 | 0 |
| GSC 110 | GSC 220 | Complex Variables and Transforms | 3 | 3 | 0 |
| GSC 110 | GSC 320 | Numerical Analysis | 3 | 3 | 0 |
| GSC 122 | GSC 445 | Operations Research | 3 | 3 | 0 |
| GSC 122 | CEN 450 | Simulation and Modeling | 3 | 2 | 1 |
| GSC 114 | GSC 446 | Physics-II (Mechanics) | 3 | 3 | 0 |
| GSC 122 | GSC 440 | Stochastic Processes | 3 | 3 | 0 |
| SEN 120 | SEN 449 | Business Process Automation | 3 | 3 | 0 |
| CSC 320 | CEN 449 | System Programming | 3 | 2 | 1 |
| GSC 110 | SEN 323 | Formal Methods in Software Engineering | 3 | 3 | 0 |
| None | CSC 448 | Introduction to Bio-Informatics | 3 | 3 | 0 |
| CEN 463 | Robotics | 3 | 2 | 1 | |
| SEN 321 | SEN 429 | Fault Tolerant Systems | 3 | 3 | 0 |
| CSC 320 | CEN 453 | Real Time Systems | 3 | 3 | 0 |
| None | CSC 448 | Introduction to Bio-Informatics | 3 | 3 | 0 |
| None | CSC 315 | Theory of Automata | 3 | 3 | 0 |
| CSC 221 | CSC 321 | Design and Analysis of Algorithms | 3 | 3 | 0 |
| CSC 315 | CSC 323 | Compiler Construction | 3 | 2 | 1 |
| CEN 122 | CEN 221 | Computer Architecture & Organization | 4 | 3 | 1 |
| CSC 320 | CEN 321 | Microprocessors & Interfacing | 4 | 3 | 1 |
| GSC 113 | EEN 210 | Basic Electronics | 4 | 3 | 1 |
| GSC 110 | CSC 453 | Information Theory | 3 | 3 | 0 |
Elective Software Engineering Courses -15 Credit Hours
This category comprises of courses that provide in depth knowledge relevant to the areas of Software Engineering and applied computing domains. Students have to take five courses from this category with at least 2 courses comprising of lab components.
| SOFTWARE ENGINEERING ELECTIVE COURSES | |||||
| Pre-Req | Course Code | Course Title Total | Credit Hours | Theory | Lab |
| CSC 113 | CSC 313 | Visual Programming | 3 | 2 | 1 |
| None | SEN 448 | Software Applications For Mobile Devices | 3 | 2 | 1 |
| CSC 113 | CSC 445 | Principles of Programming Languages | 3 | 3 | 0 |
| CSC 210 | SEN 328 | Game Application Development | 3 | 2 | 1 |
| SEN-310 | SEN 424 | Semantic Web | 3 | 2 | 1 |
| None | SEN 324 | Software Metrics & Estimation | 3 | 3 | 0 |
| SEN-210 | SEN 440 | Software Engineering Economics | 3 | 3 | 0 |
| CSC-113 | SEN 441 | Mathematical Tools For Software Engineering | 3 | 3 | 0 |
| None | SEN 450 | Design Pattern | 3 | 3 | 0 |
| None | SEN 452 | Agile Development | 3 | 3 | 0 |
| SEN 320 | SEN 456 | Usability Engineering | 3 | 3 | 0 |
| None | CSC 411 | Artificial Intelligence | 3 | 2 | 1 |
| SEN 443 | Introduction to Soft Computing | 3 | 2 | 1 | |
| GSC 122 | CSC 441 | Natural Language Processing | 3 | 3 | 0 |
| SEN 331 | Scientific Computing | 3 | 3 | 0 | |
| None | SEN 330 | Agent Based Computing | 3 | 3 | 0 |
| None | SEN 459 | Mobile and Pervasive Computing | 3 | 3 | 0 |
| None | SEN 401 | Cloud Computing | 3 | 2 | 1 |
| CSC 210 | CSC 456 | Distributed Computing | 3 | 2 | 1 |
| None | CEN 451 | Data Encryption & Security | 3 | 3 | 0 |
| None | SEN 460 | IoT Application Development | 3 | 2 | 1 |
| CSC 220 | CSC 460 | Data Mining | 3 | 2 | 1 |
| CSC 220 | CSC 454 | Data Warehousing | 3 | 3 | 0 |
| CSC 220 | CSC 495 | Introduction to Data Science | 3 | 2 | 1 |
| None | SEN 332 | Big Data Analytics | 3 | 3 | 0 |
| SEN 120 | CSC 458 | Management Information Systems | 3 | 3 | 0 |
| CSC 220 | SEN 326 | Advanced Database Management Systems | 3 | 2 | 1 |
| None | SEN 455 | Knowledge Based Management Systems | 3 | 3 | 0 |
| None | SEN 453 | Information System Audit | 3 | 3 | 0 |
| CSC 220 | SEN 327 | Distributed Database Systems | 3 | 3 | 0 |
| None | CSC 444 | Computer Graphics | 3 | 2 | 1 |
| SEN 329 | Digital Animation | 3 | 3 | 0 | |
| None | SEN 493 | Multimedia Systems | 3 | 3 | 0 |
| GSC 121 | CEN 445 | Digital Image Processing | 3 | 2 | 1 |
| CEN 445 | CSC 464 | Computer Vision | 3 | 3 | 0 |
| SEN 335 | Object Oriented Software Engineering | 3 | 2 | 1 | |
University Electives
This category consists of cross domain courses ranging from social sciences, management sciences, finance and economy. Student shall take 4 courses from this category to complete 12 credits of University Elective courses.
| UNIVERSITY ELECTIVE COURSES | |||||
| Pre Req | Course Code | Course Title | Total Credit Hours | Theory | Lab |
| Languages | |||||
| None | HSS 452 | English Literature | 3 | 3 | 0 |
| None | HSS 459 | Foreign Language (Arabic, French, etc) | 3 | 3 | 0 |
| Finance & Economy | |||||
| None | ECO 457 | Economics | 3 | 3 | 0 |
| None | HSS 461 | Accounting & Finance | 3 | 3 | 0 |
| Management Sciences | |||||
| None | MGT 111 | Principles of Management | 3 | 3 | 0 |
| None | HSS 453 | Human Resource Management | 3 | 3 | 0 |
| None | HSS 456 | Organizational Behavior | 3 | 3 | 0 |
| None | HSS 421 | Entrepreneurship & Leadership | 3 | 3 | 0 |
| Social Sciences | |||||
| None | HSS 202 | Introduction to Sociology | 3 | 3 | 0 |
| None | HSS 111 | Introduction to International Relations | 3 | 3 | 0 |
| None | HSS 115 | Introduction to Media Studies | 3 | 3 | 0 |
| None | HSS 201 | Introduction to Anthropology | 3 | 3 | 0 |
| None | PSY 101 | Introduction to Psychology | 3 | 3 | 0 |