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BS Robotics & Intelligent Systems

Overview:

BS Robotics and Intelligent Systems Program - NUML

BS Robotics and Intelligent Systems Program

Department of Electrical Engineering - National University of Modern Languages (NUML)

Head of Department: Dr. Farhan Sohail

Introduction

In today's rapidly evolving technological landscape, the boundaries between traditional disciplines are dissolving. Electrical Engineering and Computer Science are merging to create a powerful force for innovation. Hardware and software automation are no longer separate entities but work together seamlessly. This interdisciplinary approach is fueling the development of cutting-edge solutions in areas like embedded systems, artificial intelligence, and the Internet of Things.

The BS RIS program offered at NUML aims at equipping graduates with the in-demand skills of both computing and hardware engineering, positioning them to become valuable assets in the workforce. This program aligns perfectly with the strategic vision of HEC and NCEAC, which recognizes the immense potential of merging Electrical Engineering and Computer Science to propel innovation forward.

The BS Robotics and Intelligent Systems Program is being offered by the Department of Electrical Engineering which is headed by Dr. Farhan Sohail.

Department Vision & Mission

Vision: To become a centre of excellence in producing competent graduates for contributing value to the engineering knowledge, economy, and society.

Mission: To motivate the graduates to become highly skilled professional engineers acquainted with knowledge of emerging trends in engineering. It also aspires to produce socially and ethically responsible graduates having innovative research skills to effectively contribute to industrial and societal progression.

University Mission

  • To become a leading institution in creating knowledge and competencies for inclusive development. (PEO 1, 2, 3)
  • To foster creative pedagogy, innovative research, and inclusive communication. (PEO 1, 2, 3)

Program Educational Objectives (PEOs)

  • PEO1: Technical Proficiency and Innovation — Graduates will demonstrate a high level of technical expertise and professional competence in computer engineering, enabling them to design, analyze, and implement innovative solutions to complex engineering problems using modern engineering tools and practices.
  • PEO2: Leadership and Collaboration — Graduates will possess strong communication and leadership skills, enabling them to work effectively in multidisciplinary teams and lead projects to successful outcomes in diverse professional environments.
  • PEO3: Professionalism and Lifelong Learning — Graduates will understand and commit to professional ethics, societal responsibilities, and lifelong learning, continually developing their skills and knowledge to ensure their sustained contribution to the advancement of computer engineering and related disciplines.

Program Learning Outcomes (PLOs)

PLO1: Academic Education
To prepare graduates as computing professionals.
PLO2
Apply knowledge of computing fundamentals, specialization, mathematics, and science to solve computing problems.
PLO3
Identify, formulate, and solve complex computing problems using fundamental principles.
PLO4
Design and evaluate solutions for complex computing problems and systems.
PLO5
Apply modern computing tools to complex computing activities with understanding of limitations.
PLO6
Function effectively as an individual and as a team member or leader in multidisciplinary settings.
PLO7
Communicate effectively with the computing community and society at large.
PLO8
Understand and assess societal, health, safety, legal, and cultural issues relevant to computing practice.
PLO9
Commit to professional ethics, responsibilities, and norms of computing practice.
PLO10
Engage in independent and lifelong learning for continual development as a computing professional.

PLO Coverage Matrix

DomainMapped PEO(s)
Academic EducationPEO 1
Knowledge for solving computing problemsPEO 1
Problem AnalysisPEO 1
Design/Development of SolutionPEO 1
Modern Tool UsagePEO 1
Individual and TeamworkPEO 2
CommunicationPEO 2
Computing Professionalism and SocietyPEO 3
EthicsPEO 3
Lifelong LearningPEO 3

Admission Requirements - BS BS Robotics and Intelligent Systems Program

Eligibility Criteria: Minimum 60% marks in Intermediate / 12 years schooling / A-Level (HSSC) or Equivalent with Mathematics are required for admission in the BS Computer Engineering Program.

Students of F.Sc. Pre-Medical shall be required to pass two additional Mathematics courses to make up for the deficient background in Mathematics at HSSC.

Additional Mathematics Courses

CourseSemesterRequirement
Pre-Math I1st SemesterRequired for F.Sc. Pre-Medical students
Pre-Math II2nd SemesterRequired for F.Sc. Pre-Medical students

Eligibility:

50% marks in Intermediate with Mathematics, ICS / A level or equivalent with Mathematics. Pre-medical background students will have to pass deficiency courses of Mathematics (06 credits) in first two semesters.

Courses:

S.No Course Code Subject Credit Hours
1 RIPF-126 Programming Fundamentals 3+0
2 RIPF-126-L Programming Fundamentals Lab 0+1
3 CSIT-102 Applications of ICT 2+0
4 CSIT-102-L Applications of ICT Lab 0+1
5 ESFE-101 Functional English 3+0
6 NSAP-105 Applied Physics 2+0
7 NSAP-105-L Applied Physics Lab 0+1
8 SSPS-103 Pakistan Studies 2+0
9 SSIS/SSET-104 Islamic Studies/Ethics 2+0
10 RIPM-116 Pre-Math – I Non credit (3+0)

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