CASE
 
 
B.Sc Electrical Engineering Program (Fall - 2016 & Onwards)

B.Sc Electrical Engineering program is accredited by Pakistan Engineering Council (PEC). B.Sc Electrical Engineering program, with specialization in Telecommunication and Computer Engineering, has an exceptional blend of theoretical research and extensive practical training to mold students into skillful professionals ready to take up real world challenges in the industry. A career management team is on board to assist students in seeking employment immediately after the graduation.

A strong curriculum in each of these fields of study is offered by highly qualified engineering faculty including 7 Ph.Ds and 5 M.Scs with reputable accomplishments in research, academic publications and industrial projects. The School provides advanced lab facilities equipped with industrial software and hardware tools to support its academic programs.

 
Semester - I
Code Title Credit Hours Pre-Requisite
CS101 Introduction to Computing 1 Freshman Standing
CS101L Introduction to Computing Laboratory 1 Freshman Standing
HU101 Functional English 3 Freshman Standing
HU112 Islamic Ideology 2 Freshman Standing
MA101 Calculus and Analytical Geometry 3 Freshman Standing
MT111 Mechanics (IDE I) 3 Freshman Standing
PH101 Electricity & Magnetism 3 Freshman Standing
  Total 16  
 
Semester - II
Code Title Credit Hours Pre-Requisite
CS102 Programming Fundamentals 3 Freshman Standing
CS102L Programming Fundamentals Laboratory 1 Freshman Standing
EE101L Engineering Drawing Laboratory 1 Freshman Standing
EE111 Electric Circuit Analysis I 3 Electricity and Magnetism
EE111L Electric Circuit Analysis I Laboratory 1 Electricity and Magnetism
HU102 Communication Skills and Technical Writing 3 Functional English
MA102 Differential Equations 3 Calculus and Analytical Geometry
MA103 Multivariable Calculus 2 Calculus and Analytical Geometry
  Total 17  
 
Semester - III
Code Title Credit Hours Pre-Requisite
CS203 OOP and Data Structures using C++ 3 Programming Fundamentals
CS203L OOP and Data Structures using C++ Laboratory 1 Programming Fundamentals
EE212 Electric Circuit Analysis II 3 Electric Circuit Analysis I
EE212L Electric Circuit Analysis II Laboratory 1 Electric Circuit Analysis I
EE241 Digital Logic Design 3 Sophomore Standing
EE241L Digital Logic Design Laboratory 1 Sophomore Standing
HU223 Pakistan Studies 2 Sophomore Standing
MA204 Complex Variables and Transforms 2 Calculus and Analytical Geometry
MA205 Numerical Analysis 2 Calculus and Analytical Geometry
  Total 18  
 
Semester - IV
Code Title Credit Hours Pre-Requisite
EE221 Signals and Systems 3 Complex Variables and Transforms
EE221L Signals and Systems Laboratory 1 Complex Variables and Transforms
EE231 Electronic Devices & Circuits 3 Electric Circuit Analysis II
EE231L Electronic Devices & Circuits Laboratory 1 Electric Circuit Analysis II
EE242 Microprocessor and Computer Architecture 3 Digital Logic Design
EE242L Microprocessor and Computer Architecture Laboratory 1 Digital Logic Design
EE271 Electromechanical Systems 3 Electric Circuit Analysis II
EE271L Electromechanical Systems Laboratory 1 Electric Circuit Analysis II
MA206 Linear Algebra 3 Sophomore Standing
  Total 19  
 
Semester - V
Code Title Credit Hours Pre-Requisite
EEXXX Breadth Core I 3 As per specific course
EEXXXL Breadth Core I Laboratory 1 As per specific course
EE342 Microprocessor Based Embedded System Design 3 Microprocessor and Computer Architecture
EE342L Microprocessor Based Embedded System Design Laboratory 1 Microprocessor and Computer Architecture
EE351 Communication Systems 3 Signals and Systems
EE351L Communication Systems Laboratory 1 Signals and Systems
EE381 Control Systems 3 Linear Algebra, Signals and Systems
EE381L Control Systems Laboratory 1 Linear Algebra, Signals and Systems
MA307 Probability and Random Variables 3 Calculus and Analytical Geometry
  Total 19  
 
Semester - VI
Code Title Credit Hours Pre-Requisite
EE361 Electromagnetic Theory 3 Electricity & Magnetism
EEXXX Depth Elective I 3 As per specific course
EEXXXL Depth Elective I Laboratory 1 As per specific course
EEXXX Breadth Core II 3 As per specific course
EEXXXL Breadth Core II Laboratory 1 As per specific course
EEXXX Depth Elective II 3 As per specific course
EEXXXL Depth Elective II Laboratory 1 As per specific course
MT382 Industrial Automation (IDE II) 3 Microprocessor Based Embedded Systems Design, Control Systems
MT382L Industrial Automation (IDE II) Laboratory 1 Microprocessor Based Embedded Systems Design, Control Systems
  Total 19  
 
Semester - VII
Code Title Credit Hours Pre-Requisite
EE491 Senior Year Design Project-I 3 Earned Credit Hours 92 or more
EE4XX Depth Elective III X As per specific course
EE4XX Depth Elective IV X As per specific course
EM412 Engineering Project Management 3 Senior Standing
HU422 Professional Ethics 2 Senior Standing
  Total X  
 
Semester - VIII
Code Title Credit Hours Pre-Requisite
EE492 Senior Year Design Project-II 3 Senior Year Design Project-I
EE4XX Depth Elective V X As per specific course
EM401 Engineering Economics 3 Senior Standing
EM423 Entrepreneurship 3 Senior Standing
HU431 Philosophy 2 Senior Standing
  Total X  
 
Computer Engineering Electives
Code Title Credit Hours Pre-Requisite
Breadth Core Courses
EE332 Electronic Design & Practice 3 Electronic Devices & Circuits
EE332L Electronic Design & Practice Laboratory 1 Electronic Devices & Circuits
EE454 Data Communication Networks 3 Programming Fundamentals
EE454L Data Communication Networks Laboratory 1 Programming Fundamentals
Depth Elective Courses
EE422 Digital Signal Processing 3 Signals and Systems
EE422L Digital Signal Processing Laboratory 1 Signals and Systems
EE423 Digital Image Processing 3 Digital Signal Processing
EE423L Digital Image Processing Laboratory 1 Digital Signal Processing
EE440 Advanced Topics in Computer Systems 3 Microprocessor and Computer Architecture, Programming Fundamentals
EE445 Digital System Design 3 Digital Logic Design
EE445L Digital System Design Laboratory 1 Digital Logic Design
EE446 Operating System 3 Microprocessor and Computer Architecture
EE446L Operating System Laboratory 1 Microprocessor and Computer Architecture
EE447 Parallel Processing 3 Microprocessor and Computer Architecture, Programming Fundamentals
EE447L Parallel Processing Laboratory 1 Microprocessor and Computer Architecture, Programming Fundamentals
EE444 Database Management Systems 3 OOP and Data Structures using C++
EE444L Database Management Systems Laboratory 1 OOP and Data Structures using C++
EE455 Network and System Programming 3 Programming Fundamentals, Data Communication Networks
EE455L Network and System Programming Laboratory 1 Programming Fundamentals, Data Communication Networks
EE456 Network Security 3 Senior Standing
 
Telecommunication Engineering Electives
Code Title Credit Hours Pre-Requisite
Breadth Core Courses
EE332 Electronic Design & Practice 3 Electronic Devices & Circuits
EE332L Electronic Design & Practice Laboratory 1 Electronic Devices & Circuits
EE454 Data Communication Networks 3 Programming Fundamentals
EE454L Data Communication Networks Laboratory 1 Programming Fundamentals
Depth Elective Courses
EE422 Digital Signal Processing 3 Signals and Systems
EE422L Digital Signal Processing Laboratory 1 Signals and Systems
EE423 Digital Image Processing 3 Digital Signal Processing
EE423L Digital Image Processing Laboratory 1 Digital Signal Processing
EE433 Power Electronics 3 Electronic Devices & Circuits
EE433L Power Electronics Laboratory 1 Electronic Devices & Circuits
EE445 Digital System Design 3 Digital Logic Design
EE445L Digital System Design Laboratory 1 Digital Logic Design
EE450 Advanced Topics in Telecommunications Engineering 3 Digital Communication
EE452 Wireless Communications 3 Digital Communication
EE453 Digital Communication 3 Communication Systems, Probability and Random Variables
EE453L Digital Communication Laboratory 1 Communication Systems, Probability and Random Variables
EE457 Telecom Switching & Signaling Systems 3 Communication Systems
EE458 Optical & High Speed Networks 3 Communication Systems
EE462 Antenna Design and Microwave Engineering 3 Electromagnetic Theory
EE462L Antenna Design and Microwave Engineering Laboratory 1 Electromagnetic Theory
EE464 Radar Systems 3 Communication Systems
 
Click here for Curriculum before Fa-2016 Semester
 
Degree Requirement
 
To earn a Bachelors degree in electrical engineering from the Institute, a student must successfully complete minimum of 137 credit hours of course work as outlined in degree plans including six credit hours of senior design project and a summer internship (noncredit). The total credit hours required are grouped into Basic Sciences, Humanities & Management, Core courses, Stream Specific courses and Senior Design Project as given in degree plans. This distribution is in accordance with the PEC/HEC requirements and guidelines. Maximum duration for completion of Bachelors of Science degree in Electrical Engineering is seven (07) years.
 
Program Learning Outcomes
 
Introduction:
 
The twelve graduate attributes in the guidelines provided by Pakistan Engineering Council (PEC) as per Manual of Accreditation 2014 have been adopted by Sir Syed CASE Institute of Technology (SSCIT) as Program Learning Outcomes (PLOs) for the Electrical Engineering Program. It is ensured that these PLOs are achieved by Course Learning Outcomes (CLOs) of electrical engineering curriculum as redefined by course outlines and assessed through both direct and indirect methods for the attainment of program mission.
 
List of PLOs:
 
The list of PLOs for Electrical Engineering Program at SSCIT is;
  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.
 
Review Process of PLOs:
 
The review process for the PLOs is being carried out through a department committee composed of senior faculty members known as the Departmental OBE Management Committee (DOMC). The committee is responsible for revision and improvement of PLOs and for taking any other corrective actions to meet the desired criterion. In order to establish the attainment of PLOs, the two different methods are suggested for triangulation i.e. direct and indirect assessment. The measurement tools to analyze the attainment of PLOs include;
  1. Course Evaluation Forms
  2. Alumni Surveys
  3. Student Surveys
  4. Exit Surveys
 
Indirect Assessment of PLOs:
 
Along with direct measurements from CLOs, the PLOs are also assessed indirectly using feedback taken from employers and graduating students’ exit survey. The indirect assessment methods are shown in Table below. These methods form the Key Performance Indicators (KPIs) of the PLOs. Students must attain all PLOs at the time of graduation.

Indirect assessment of PLOs
Program Learning Outcomes Strategy KPI
PLOs 1 to 12 Exit surveys
(Indirect)
Feedback on relevant questions of 60% of contestant should be above C
Employers surveys
(Indirect)
Feedback on relevant questions of 60% of contestant should be above C
 
Direct Assessment of PLOs:
 
All these assessment methods are mainly designed to comply with the Bloom’s taxonomy, which comprises of the following domains:
The PLOs are assessed directly by accumulating student’s individual scores in CLOs relating to a specific PLO. A student must obtain 50% score in each PLO. Throughout the course of education, the DOMC monitors PLOs of each student and in case if they find deficiency a CAR is generated and measures are taken to ensure the student attains required minimum score in all the PLOs.
Following methods are used to assess the outcomes of targeted courses.
  1. Assignments
  2. Quizzes
  3. Mid Term Exam
  4. Final Exam
  5. Projects
  6. Presentations
All these assessment methods are mainly designed to comply with the Bloom’s taxonomy.
 
List of Class Learning Outcomes (CLOs):