The Electrical Engineering Program at SS-CASE-IT has an exceptional blend of theoretical research and extensive practical training to mould students into skillful professionals ready to take up real world challenges in the industry.
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A strong curriculum is offered by highly qualified engineering faculty with reputable accomplishments in research, academic publications, and industrial projects.
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Our Electrical Engineering Program is one of the first Electrical Engineering Programs in Pakistan to receive Level 2 Accreditation from the Pakistan Engineering Council (PEC) under the new OBE Accreditation System. PEC also has the signatory status for the Washington Accord.
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Washington Accord is an international agreement among bodies responsible for the reciprocal accreditation of engineering degree programs. Among the signatories are Australia, Canada, Japan, Malaysia, Russia, Singapore, South Africa, UK, and USA. Graduates of our BSEE Program can directly apply for jobs in these countries.
The department has revamped the Electrical Engineering program in line with the current needs of the industry. The department now offers the BS Electrical Engineering degree with options for students to focus on areas in the IT sector such as Artificial Intelligence, Embedded Systems, Cyber Security, Block Chain Technologies, Mobile App development, and Web and Database Engineering.
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Program Duration
Minimum: 4 years (8 semesters)
Maximum: 6 Years (With One Year Extension)
Degree Requirements
To earn a Bachelor’s degree in Electrical Engineering, a student must successfully complete the course work as outlined in degree plans (132 CH) including six credit hours of Senior Design Project and a Summer Internship of 6 to 8 weeks (non‐credited). A student has to attain a minimum CGPA of 2.0 out of 4.0 to be eligible for the degree.
| In recent years, the integration of Artificial Intelligence (AI) with chip design has become increasingly important in the field of Electrical and Computer Engineering (ECE). Our curriculum is made flexible enough to tailor it towards AI & Chip design stream with solid the Electrical Engineering foundation. |  |
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AI and chip design intersect at the cutting edge of technology, offering immense innovation potential. In this specialization, students learn how to design hardware architectures optimized for AI algorithms, enabling faster and more efficient processing of AI tasks. They delve into topics such as digital logic design, computer architecture, Embedded Systems Design, Digital Signal Processing, VLSI (Very Large Scale Integration), and ASIC (Application-Specific Integrated Circuit) design. Additionally, they explore AI concepts like machine learning algorithms, neural networks, and deep learning techniques to understand how to tailor hardware designs to maximize performance for specific AI applications. This specialization is essential for meeting the growing demand for specialized hardware in areas such as autonomous vehicles, edge computing, Robotics, and smart devices. | ||
| Students in the specialization would be engaged in design projects and research projects that involve developing AI algorithms and implementing them on custom-designed chips. This could include designing and fabricating Application-Specific Integrated Circuits (ASICs) or Field-Programmable Gate Arrays (FPGAs) optimized for AI workloads.Students in the specialization would be engaged in design projects and research projects that involve developing AI algorithms and implementing them on custom-designed chips. This could include designing and fabricating Application-Specific Integrated Circuits (ASICs) or Field-Programmable Gate Arrays (FPGAs) optimized for AI workloads. |  |
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The program would also offer opportunities for internships with companies working on AI hardware and chip design, providing students with real-world experience and industry connections.
By specializing in AI and chip design with our ECE program, students can gain the knowledge and skills needed to design the next generation of AI-enabled devices and systems.
Eligibility Criteria for BS Electrical Engineering Program:
Applicants who have successfully completed their F.Sc. (Pre-Eng), F.Sc. (Pre-Med with additional Maths), ICS (with Physics), DAE or equivalent as PEC guidelines, A’ Levels, High School Diploma or International Baccalaureate, or will do so in the 2024 session. B. Tech (Hons) / B.S / B.Sc. / Bachelor of Technology (with relevant discipline) or equivalent qualification duly recognized by HEC with a maximum of one-year exemption as determined by the Department Academic Affairs Committee.
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- Scored at least 60% unadjusted marks in Intermediate, or equivalent examination*, with the following three subjects:
- Chemistry/Computer Studies/Computer Science
- Mathematics
- Physics
- Passed the SS-CASE-IT Admission test
OR
To be exempted from the SS-CASE-IT Admissions Test:
Must have given ECAT 2024/NTS-NAT IE/NAT ICS/HEC USAT-E/HEC USAT-CS
Details*
- Successfully cleared the following subjects in A’ Levels (Mathematics, Physics, Chemistry/Computer Studies/Computer Science)
- All foreign equivalent examinations must provide a certificate of equivalence with HSSC (Pre-Engineering or ICS) with at least 60% unadjusted marks issued by IBCC.
Determination of Merit:
The comparative merit of applicants will be determined based on weighted percentage marks obtained by the candidates as follows.
- Secondary School Certificate Examination (SSC) 20%
- Higher Secondary School Certificate Examination (HSSC) or Equivalent 40%
- Admission Test 40%
For result awaiting candidates, Previous Examination (like HSSC Part I or O level examination) result will be used for merit determination in place of HSSC or Equivalent Examination.
Program Learning Outcomes (PLOs)
The twelve graduate attributes in the guidelines provided by the Pakistan Engineering Council (PEC) as per Manual of Accreditation 2014 have been adopted by Sir Syed CASE Institute of Technology (SS-CASE-IT) as Program Learning Outcomes (PLOs) for the Electrical Engineering Program. It is ensured that these PLOs are achieved by Course Learning Outcomes (CLOs) of the electrical engineering curriculum as redefined by course outlines and assessed through both direct and indirect methods for the attainment of the program mission.
The list of PLOs for the Bachelor of Science in Electrical Engineering Program is:
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Engineering Knowledge: An ability to apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
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Problem Analysis: An ability to identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using the first principles of mathematics, natural sciences, and engineering sciences.
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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.
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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.
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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.
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The Engineer and Society: An ability to apply reason 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.
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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.
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Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
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Individual and Team Work: An ability to work effectively, as an individual or in a team, in multifaceted and /or multidisciplinary settings.
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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.
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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.
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Lifelong Learning: An ability to recognize the importance of, and pursue lifelong learning in the broader context of innovation and technological developments.
List of Semesters
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Title Credit Hours Pre-Requisite
Introduction to Computing 1+1 Functional English 2+0 Communication skills 2+0 Calculus & Analytical Geometry 3+0 Workshop Practices 0+1 Applied Physics 3+0 Total credit -Hours 13
The curriculum of our department is flexible in its structure to accommodate a variety of electives to shift the direction of the program to different streams.
2 Interdisciplinary electives and 5 Depth electives, 2 Breadth core elective a total of 9 courses and FYP course can be chosen such that the degree program is tailored towards Embedded, Chip design and AI.
Possible courses that can be offered are as follows:
Breadth Core:
- BC I: Electronic Design and Practice (Sem 5)
- BC II: Application Specific Integrated Circuits (Sem 6)
Inter Disciplinary Electives:
- IDE I: Introduction to Artificial Intelligence (Sem 3)
- IDE II: Robotics and Automation / Industrial Electronics (Sem 7)
Depth Electives:
- DE I: Digital System Design (Sem 5)
- DE II: VLSI Chip Design (Sem 6)
- DE III: AI and its application in Chip design (Sem 7)
- DE IV: Radio Frequency Integrated Circuit Design (Sem 7)
- DE V: AI in Embedded Systems (Sem 8)
Other Depth Elective possibilities include but not limited to the following:
Sensors and Actuators, IoT in automotive systems, M2M Communications, DSP, Adhoc networks, System on Chip, Wireless Sensor Networks, Introduction to MEMs, Machine Learning, Software Defined Radio Communications