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

Domain	Mapped PEO(s)
Academic Education	PEO 1
Knowledge for solving computing problems	PEO 1
Problem Analysis	PEO 1
Design/Development of Solution	PEO 1
Modern Tool Usage	PEO 1
Individual and Teamwork	PEO 2
Communication	PEO 2
Computing Professionalism and Society	PEO 3
Ethics	PEO 3
Lifelong Learning	PEO 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

Course	Semester	Requirement
Pre-Math I	1st Semester	Required for F.Sc. Pre-Medical students
Pre-Math II	2nd Semester	Required for F.Sc. Pre-Medical students

Detail

BS Level
Morning Shift
8 Semester(s)
4 years Year(s)
136 Cr.

Eligibility Criteria

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

Code	Name	Credit Hours
RIPF-126	Programming Fundamentals	3+0
RIPF-126-L	Programming Fundamentals Lab	0+1
CSIT-102	Applications of ICT	2+0
CSIT-102-L	Applications of ICT Lab	0+1
ESFE-101	Functional English	3+0
NSAP-105	Applied Physics	2+0
NSAP-105-L	Applied Physics Lab	0+1
SSPS-103	Pakistan Studies	2+0
SSIS/SSET-104	Islamic Studies/Ethics	2+0
RIPM-116	Pre-Math – I	Non credit (3+0)