- Computer Science (ADP)
Duration
2 years full-time
Qualification
Associate Degree in Computing
Credit Hours
72
Academic Session
Spring and Fall
Program Overview
Scheme of study
Program Mission
Program Education Objectives (PEOs)
Program Learning Outcomes (PLOs)
Mapping of PLOs to PEOs
Mapping of CLOs to PLOs:
Modules
Courses Distribution
Specialization Areas
Teaching
Assessment Tools
Duration
Entry Requirement
Careers
Tuition Fee
Departments
Life at Chenab
Next Steps
2024 Entry
Program Overview
The Associate Degree Program (ADP) in Computer Science at the University of Chenab is a comprehensive two-year undergraduate program designed to provide students with foundational knowledge and practical skills necessary for success in the rapidly evolving field of computer science. This program is ideal for individuals seeking to enter the workforce quickly with a strong technical background or as a stepping stone towards further education in computer science and related disciplines.
Scheme of study
Areas | Credit Hours | Courses |
Computing Core | 34 | 10 |
Elective | 15 | 5 |
Mathematics & Supporting Courses | 3 | 1 |
General Education Requirement | 21 | 8 |
Total | 72 | 24 |
Program Mission
The mission of Bachelor of Computer Science program is to provide high quality education in computer science that prepares students for professional careers and lifelong learning in developing / managing computational processes and systems.
Program Education Objectives (PEOs)
PEO 1 Computing knowledge, skills, and creativity: Apply computing knowledge and skills to design and develop effective solutions for complex real-life problems.
PEO 2 Ethics and social responsibility: Demonstrate ethical and moral conduct in professional practices.
PEO 3 Communication and Leadership Skills: Manifest life-long learning and inter-personal skills for sustainable career development and professional growth.
Program Learning Outcomes (PLOs)
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 Teamwork: 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.
Mapping of PLOs to PEOs
| No. | Program Learning Outcomes | PEOs | ||
|---|---|---|---|---|
| PEO 1 | PEO 2 | PEO 3 | ||
| 1 | Academic Education | |||
| 2 | Knowledge for Solving Computing Problems | |||
| 3 | Problem Analysis | |||
| 4 | Design/ Development of Solutions | |||
| 5 | Modern Tool Usage | |||
| 6 | Indivoval and leamwork | |||
| 7 | Communication | |||
| 8 | Computing Professionalism and Society | |||
| 9 | Ethics | |||
| 10 | Life-long Learning | |||
Mapping of CLOs to PLOs:
Following CLOs to PLOs mapping is for the course of software engineering. For all other courses CLOs to PLOs mapping exist in detailed curriculum.
| Course Learning Outcomes (CLO): Upon successful completion of the course, the students will be able to | Mapping to PLOs | |
|---|---|---|
| CLO1 | Describe various software engineering processes and activities | PLO-1 |
| CLO2 | Apply the system modeling techniques to model a medium size software system | PLO-3 |
| CLO3 | Apply software quality assurance and testing principles to medium size software system | PLO-3 |
| CLO4 | Discuss key principles and common methods for software project management such as scheduling, size estimation, cost estimation and risk analysis | PLO-2 |
Modules
The ADP in Computer Science is structured to be completed over four semesters, with a total of 72 credit hours. The curriculum is carefully crafted to offer a blend of General Education Courses (GEC), major-specific courses, and compulsory courses that ensure a holistic educational experience.
Semester 1
- Programming Fundamentals (CS1xx): 4 Credit Hours (3-3) – Core
- Application of Information & Communication Technologies (GE1xx): 3 Credit Hours (2-3) – General Education Requirement (GER)
- QR 1 (Discrete Structures) (GE1xx): 3 Credit Hours (3-0) – GER
- QR 2 (Calculus and Analytic Geometry) (GE1xx): 3 Credit Hours (3-0) – GER
- Functional English (GE1xx): 3 Credit Hours (3-0) – GER
- Total Credit Hours: 16 (14-6)
Semester 2
- Object Oriented Programming (CS1xx): 4 Credit Hours (3-3) – Core
- Database Systems (CS1xx): 4 Credit Hours (3-3) – Core
- Digital Logic Design (CS1xx): 3 Credit Hours (2-3) – Core
- Linear Algebra (MT1xx): 3 Credit Hours (3-0) – Mathematics
- Expository Writing (GE1xx): 3 Credit Hours (3-0) – GER
- Total Credit Hours: 17 (14-9)
Semester 3
- Data Structures (CS2xx): 4 Credit Hours (3-3) – Core
- Information Security (CS2xx): 3 Credit Hours (2-3) – Core
- Artificial Intelligence (CS2xx): 3 Credit Hours (2-3) – Core
- Computer Networks (CS2xx): 3 Credit Hours (2-3) – Core
- Software Engineering (CS2xx): 3 Credit Hours (3-0) – Core
- Computer Organization & Assembly Language (CS2xx): 3 Credit Hours (2-3) – Core
- Total Credit Hours: 19 (14-15)
Semester 4
- Elective 1 (e.g., Advanced Database Lab) (CS2xx): 2 Credit Hours (0-6) – Elective
- Elective 2 (e.g., Web Technologies Lab) (CS2xx): 3 Credit Hours (1-6) – Elective
- Elective 3 (e.g., Mobile Application Development Lab) (CS2xx): 3 Credit Hours (1-6) – Elective
- Elective 4 (e.g., Advanced Programming Lab) (CS2xx): 3 Credit Hours (1-6) – Elective
- Elective 5 (e.g., Cyber Security Lab) (CS2xx): 3 Credit Hours (1-6) – Elective
- Islamic Studies (GE2xx): 2 Credit Hours (2-0) – GER
- Ideology and Constitution of Pakistan (GE2xx): 2 Credit Hours (2-0) – GER
- Entrepreneurship (GE2xx): 2 Credit Hours (2-0) – GER
- Total Credit Hours: 20 (10-30)
Total Credit Hours for the Program: 72
Courses Distribution
Our program structure is divided up into core courses, foundation courses, general courses, and electives to complete the degree of Computer Science. The curriculum offers a flexible mixture of core/compulsory and optional modules. Through the optional module, you may choose to spend a year in a research exchange program, which will help you throughout your career.
There has been a concerted effort to develop skills for data collection, data analysis, data representation, data management, and data retrieval.
Specialization Areas
This program has vast canvas of following specialization areas.
- Data Science
- Machine Learning
- Artificial Intelligence
- Cyber Security
- Computer Networking
- Mobile Application Development
- Web Application Development
Teaching
In ADP Computing, we use various methods of teachings through classroom activities including a combination of lectures, tutorials, lab sessions, seminars, workshops, online learning, and independent study. In addition to these workshops, online learning and seminars are also considered. Mode of communication is English.
This program structure is comprised of a total number of thirty to thirty-two lectures and about 3 hours per week will be allocated for teaching and sixteen labs. Each lab consists of three hours of lab practice per week. You will be guided al about the studies, mainly about time for preparing classes, completion of research projects, and reading of primary texts. This program is taught in an appropriately positive learning environment for quality composing work to take place.
Our ADP Computing degree is undertaken in a better, more open, and more connected environment to keep more students engaged in a classroom.
Assessment Tools
Mainly evaluation will be concluded by extensive monitoring of written examination and course work completion along with routine quizzes, individual assignments, and group tasks i.e. programming such as writing, research and presentation.
Duration
The duration to complete ADP Computing degree program is about 2 years.
The candidates who acquired ADP Computing Degree are also eligible for admission in 5th Semester of BS Computing Programs. Such students shall complete the deficiency courses of General Education (if any) during 5th to 8th Semester.
Entry Requirement
Admission Requirement/Eligibility Criteria for AD Computing and Further Pathways:
- Minimum 50% marks in Intermediate/12 years schooling/A- Level (HSSC) or Equivalent with Mathematics are required for admission in Associate Degree Computing.
- The students who have not studied Mathematics at intermediate level have to pass deficiency courses of Mathematics (06 credits) in first two semesters.
- A minimum 2.0 CGPA (Cumulative Grade Point Average) on a scale of 4.0 is required for award of AD Computing degree.
- The candidates with AD Computing Degrees are eligible for admission in 5th Semester of BS Computing Programs. Such students shall complete the deficiency courses of General Education (if any) during 5th to 8th Semester.
- The candidates who acquired ADP Computing Degrees prior to the admission criteria (as stated above) are also eligible for admission in 5th Semester of BS Computing Programs. Such students shall complete the deficiency courses of General Education (if any) during 5th to 8th Semester.
*Equivalency certificate by IBCC will be required in case of education from some other country or system.
Careers
Students from the Department of Computer Science can start their careers in the any of following industries and companies:
Automobiles and Aviation Toyota, Suzuki, Honda, Cavalier
Computer Systems NetSol, TechAbout, KalSoft, Techlogix
Computer Security TISS, Tier3, PakCERT, Catalytic Security
Consumer goods Nishat, Ashabi, Stallion Textile Mills
Finance SBP, NBP, HBL, MCB
Software Beltok, Nets Tech, Webicosoft, Glowlogix
Research Higher Education Institutions
Bachelor of Computer Science degree holders are eligible for pursuing their Postgraduate degrees in the subject of Computer Science and its related areas and thus become further capable for the job of Computer Science researcher, Web Developer, Software Engineer, System Analyst, University academic, Economist, Statistician, and many others.
They can pursue roles such as:
- Software engineer
- Systems analyst
- Investment analyst
- Web designer/developer
- Business analyst
- Actuary
- Economist and statistician
- Computer science researcher
- University academic
- Teacher
- Entrepreneur
- Start-up owner
Helping you find the right career
We have the facilities of devoted career counselors who help you to select your career choices and assist you in preparing for various recruitment programs. You can also be a part of career fest programs which are an interactive session with the recruiters so, you can understand their requirements and recruitment criteria.
Tuition Fee
Tuition Fee
Mainly tuition fees majorly covers our study cost, which includes assessment and teaching. Advanced fees are taken before the academic semester. If the university takes fees directly then you can choose the installment methods to pay your fees.
Additional course costs
You may be charged an extra cost of additional things such as books, stationery, recreational and study trips, and other materials.
Fee Structure Fall 2024
| Semester | Courses | CrdHrs | Tuition Fee/CrdHr | Tuition Fee/Semester | Enrollment Fee (500 per Course) | Examination Fee (500 per Course) | Medical Diagnostic Charges (500 per Semester) | Societies & Club Fee (2500 per Semester) | Total Fee For Semester |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 7 | 16 | 3,400 | 54,400 | 3,500 | 3,500 | 500 | 2,500 | 64,400 |
| 2 | 9 | 17 | 3,400 | 57,800 | 4,500 | 4,500 | 500 | 2,500 | 69,800 |
| 3 | 10 | 19 | 3,600 | 68,400 | 5,000 | 5,000 | 500 | 2,500 | 81,400 |
| 4 | 12 | 20 | 3,600 | 72,000 | 6,000 | 6,000 | 500 | 2,500 | 87,000 |
| Total Semesters Fee | 252,600 | Total | 302,600 | ||||||
| Registration Fee (payable once – Non Refundable) | 20,000 | ||||||||
| Total Fee | 322,600 | ||||||||
Final Year Project internal and external evaluation fee is Rs. 10000 which will be charged once at the time of evaluation.
Funding
We offer several fully and partially funded undergraduate scholarships to full-time undergraduate students. Visit Funding Policy for further queries.
Departments
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.
Department works with a clear mission to provide the country with trained resources for development of high-tech products and services and to exercise commercialization through incubation of high-tech companies.
- To produce best quality Computer Science & IT professionals and researchers by providing state-of-the-art training, hands on experience, and healthy research environment.
- To collaborate with industry and academia around the globe for achieving quality technical education and excellence in research through active participation of all the stakeholders.
- To promote academic growth by establishing Center of Excellences and offering inter-disciplinary postgraduate and doctoral programs.
- To establish and maintain an effective operational environment and deliver quality, prompt, cost effective and reliable technology services to the society as well as compliment the local and global economic goals.
- Making world class technology available to undertake large and complex IT Projects inPakistan.
- Exercising commercialization through incubation of high tech companies.
Currently, the Department is offering the following undergraduate and postgraduate degree programs:
2024
Ejaz, S., Baig, R., Ashraf, Z., Alnfiai, M. M., Alnahari, M. M., & Alotaibi, R. M. (2024). A deep learning framework for the early detection of multi-retinal diseases. PLOS ONE, 19(7), e0307317.
Shaukat, F., Ejaz, N., Ashraf, Z., Alnfiai, M. M., Alnahari, M. M., & Alotaibi, R. M. (2024). GenVis: Visualizing Genre Detection in Movie Trailers for Enhanced Understanding. IEEE Access.
Ashraf, Z., Sohail, A., & Iqbal, M. (2024). Design and Implementation of Lightweight Certificateless Secure Communication Scheme on Industrial NFV-Based IPv6 Virtual Networks. Electronics, 13(13), 2649.
Mahmood, Z., Ashraf, Z., Iqbal, M., & Farooq, B. (2024). User-trust centric lightweight access control for smart IoT crowd sensing applications in healthcare systems. Personal and Ubiquitous Computing, 28(2), pp. 1-14.
2023
Ashraf, Z., Sohail, A., Hameed, A., Farhan, M., Alotaibi, F. A., & Alnfiai, M. M. (2023). Robust and Lightweight Remote User Authentication Mechanism for Next-Generation IoT-based Smart Home. IEEE Access 11, pp. 137899 – 137910
Ashraf, Z., Mahmood, Z., & Iqbal, M. (2023). Lightweight Privacy-Preserving Remote User Authentication and Key Agreement Protocol for Next-Generation IoT-Based Smart Healthcare. Future Internet, 15(12), 386.
Ashraf, Z., Sohail, A., & Yousaf, M. (2023). Lightweight and authentic symmetric session key cryptosystem for client–server mobile communication. The Journal of Supercomputing, 1-25.
Ashraf, Z., Sohail, A., & Yousaf, M. (2023). Robust and lightweight symmetric key exchange algorithm for next-generation IoE. Internet of Things, 22, 100703.
Ashraf, Z., Sohail, A., Latif, S. A., Pitafi, A. H., & Malik, M. Y. (2023). Challenges and Mitigation Strategies for Transition from IPv4 Network to Virtualized Next-Generation IPv6 Network. Int. Arab J. Inf. Technol., 20(1), 78-91.
Butt, U. M., Arif, R., Letchmunan, S., Malik, B. H., & Butt, M. A. (2023). Feature Enhanced Stacked Auto Encoder for Diseases Detection in Brain MRI. Computers, Materials & Continua, 76(2).
Ikram, A., Butt, M. A., & Tariq, I. (2023). Comparative Analysis of Regression Algorithms used to Predict the Sales of Big Marts. Journal of Innovative Computing and Emerging Technologies, 3(1).
Butt, M. A., Danjuma, S., Ilyas, M. S. B., Butt, U. M., Shahid, M., & Tariq, I. (2023). Demand Prediction on Bike Sharing Data Using Regression Analysis Approach. Journal of Innovative Computing and Emerging Technologies, 3(1).
2022
Butt, U. M., Ullah, H. A., Letchmunan, S., Tariq, I., Hassan, F. H., & Koh, T. W. (2023). Leveraging Transfer Learning for Spatio-Temporal Human Activity Recognition from Video Sequences. Computers, Materials & Continua, 74(3).
Butt, U. M., Letchmunan, S., Hassan, F. H., & Koh, T. W. (2022). Hybrid of deep learning and exponential smoothing for enhancing crime forecasting accuracy. Plos one, 17(9), e0274172.
Baig, R., Rehman, A., Almuhaimeed, A., Alzahrani, A., & Rauf, H. T. (2022). Detecting malignant leukemia cells using microscopic blood smear images: a deep learning approach. Applied Sciences, 12(13), 6317.
Fatima, M., Rextin, A., Nasim, M., & Yusuf, O. (2022, October). Digital Information Seeking and Sharing Behaviour During the COVID-19 Pandemic in Pakistan. In Multidisciplinary International Symposium on Disinformation in Open Online Media (pp. 44-62). Cham: Springer International Publishing.
Prince Sultan University, Riyadh, Saudi Arabia
King Saud University, Riyadh, Saudi Arabia
Taif University, Taif, Saudi Arabia
- University of Kotli, Kotli, Azad Jammu & Kashmir
- IQRA University, Islamabad Campus, Islamabad
- RIPHAH University, Islamabad Campus, Islamabad
- COMSATS University, Sahiwal Campus, Sahiwal
Department of computer science has built strong linkage with industry and signed various MOUs with different software houses for jobs and internships.
Recently the University of Chenab has signed MOUs with following software houses.
- KMS Enterprise Solutions in Canada
- Techno Verse
- Twin Spider
- Dev Valley
- Cipher Coders
- Soft Pin
- Huawei ICT Academy
- Gujrat Chamber of Commerce and Industries
Led By
Life at Chenab
Peaceful ambience, agile teaching as well as non-teaching staff, and a disciplined yet enjoyable and motivating atmosphere. Welcome to the University of Chenab. We produce professionals who are adept in their disciplines. Our institution is not only concerned with grades and education, but also take care of mental well-being of our students.
The University of Chenab
Our Mission
The University of Chenab represents excellence in teaching, research, scholarship, creativity and engagement. Its mission is to produce professionals outfitted with the highest standards in creativity, transfer and application of knowledge dissemination to address issues of our time.
The UChenab sculpts its graduates to become future leaders in their fields to inspire the next generation and to advance ideas that benefit the world.
The University of Chenab
Our Vision
The University of Chenab, Gujrat aspires to become a nationally and internationally recognized university that distinguishes itself as an embedding center for outstanding ethical and moral values, teaching quality, learning outcomes, and richness of the student experience.
The University of Chenab, Gujrat envisions a transformative impact on society through its continual innovation in education, creativity, research, and entrepreneurship.
Next Steps
Finding Your
Course
- Visit (Website link admission tab) and search your respective course and department on this website.
- Check the admission criteria and learn about the eligibility criteria of your selected course.
- If you are confused about the fee structure visit our fee guide at (link)
- To search more about the campus and studies visit other events and tabs to learn about the latest news and events.
- Still if there are any ambiguities then contact our admission office.
Apply Online
- Search the page and select your course scroll to the menu and click on and option ‘Apply.’
- Fill the online application form with the required attachments.
- After the form is submitted then you’ll receive a confirmation email. Confirm your application which is then processed forward.
In-Campus Test
- After the acceptance of the online registration a date and time is allocated for an in-campus test.
- You must bring your original attested documents on your test day.
Results And Enrolment
- After sometimes the results are out so constantly check your email for the notification.
- Visit the campus for enrolment.
Final Steps
- After the enrolment attend your orientation day as it is an interactive session among students and the faculty.
- Then, receive your timetable.
- Finally, start a new step of your carrier.
2024 Entry
