Ziauddin University

BS Robotics & Intelligent Systems

The Bachelor of Science in Robotics and Intelligent Systems equips students with cutting-edge knowledge in robotics and intelligent systems to design, implement, and innovate, preparing them for careers in diverse fields and driving technological advancements and intelligent system solutions.

Mission

To provide students with comprehensive education and training in robotics and intelligent systems, addressing complex challenges and advancing technological progress across various industries. 

Programme Educational Objectives

PEO-1: Equip graduates with essential knowledge and skills in robotics and intelligent systems. 

PEO-2: Train graduates in modern robotic tools to manage operations across diverse industries with professionalism.

PEO-3: Ensure graduates can communicate clearly with stakeholders and uphold strong work ethics.

Programme Learning Outcomes

Sr.

PLOs

Description

1

Academic Education

To prepare graduates as computing professionals.

2

Knowledge for Solving Computing Problems

Apply knowledge of computing fundamentals, knowledge of a computing specialisation, and mathematics, science, and domain knowledge appropriate for the computing specialisation to the abstraction and conceptualisation of computing models from defined problems and requirements.

3

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.

4

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.

5

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.

6

Individual and Team Work

Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.

7

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.

8

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.

9

Ethics

Understand and commit to professional ethics, responsibilities, and norms of professional computing practice.

10

Life-long Learning

Recognise the need and have the ability to engage in independent learning for continual development as a computing professional.

  • HSC (Pre-Engineering / Computer Science / Pre-Medical / Commerce) or A-Level or DAE. 
  • Students with pre-medical and commerce backgrounds are required to take an additional mathematics course.
Semester 1st

First Year – Semester I

Title

Cr. Hrs.

Functional English

3+0

Applied Physics

3+0

Applied Physics 

0+1

Islamic Studies OR Religious Education/Ethics 

2+0

Applications of Information and Communication Technologies

2+0

Applications of Information and Communication Technologies 

0+1

Quantitative Reasoning I

3+0

TOTAL

13+2=15

Semester 2nd

First Year – Semester II

Title

Cr. Hrs.

Expository Writing

2+0

Ideology and Constitution of Pakistan

2+0

Object Oriented Programming

3+0

Object Oriented Programming

0+1

Quantitative Reasoning II

3+0

Digital Logic Design

3+0

Digital Logic Design

0+1

TOTAL

13+2=15

Semester 3rd

Second Year – Semester III

Title

Cr. Hrs.

Embedded System Design

3+0

Embedded System Design

0+1

Data Structure and Algorithm

3+0

Data Structure and Algorithm

0+1

Introduction to Robotics

3+0

Introduction to Robotics  

0+1

Computer Architecture 

2+0

Computer Architecture

0+1

Engineering Mechanics

2+0

Engineering Mechanics  

0+1

TOTAL

13+5=18

Semester 4th

Second Year – Semester IV

Title

Cr. Hrs.

Probability and Statistics

3+0

Data Communication and Computer Networks

3+0

Data Communication and Computer Networks

0+1

Signal & Systems

3+0

Signal & Systems  

0+1

Artificial Intelligence

3+0

Artificial Intelligence  

0+1

Engineering Drawing & CAD

0+1

TOTAL

12+4=16

Semester 5th

Third Year – Semester V

Title

Cr. Hrs.

Technical Report Writing

3+0

Robotic System & Programming

3+0

Robotic System & Programming  

0+1

Human Machine Interaction

3+0

Human Machine Interaction  

0+1

Sensors & Actuators

3+0

Sensors & Actuators  

0+1

TOTAL

12+3=15

Semester 6th
Third Year – Semester Break
TitleCr. Hrs.
Civics and Community Engagement (Internship) 2-3 WeeksQualifying
Third Year – Semester VI
TitleCr. Hrs.
Wireless Sensor Networks3+0
Linear Control System3+0
Linear Control System0+1
Database Management System3+0
Database Management System0+1
Introduction to Machine Learning and Deep Learning3+0
Introduction to Machine Learning and Deep Learning0+1
TOTAL11+3=15
Semester 7th

Fourth Year – Semester VII

Title

Cr. Hrs.

Robot Modelling & Control

3+0

Robot Modelling & Control

0+1

Elective – I

3+0

Elective – II

3+0

Elective – II

0+1

Social Sciences Elective

3+0

Final Year Project – I

0+3

TOTAL

12+5=17

Semester 8th
Fourth Year – Semester Break
Title Cr. Hrs.
Field Internship (6 – 8 Weeks) Qualifying
Fourth Year – Semester VIII
Title Cr. Hrs.
Machine Vision & Robotics 3+0
Management Science Elective 3+0
Elective – III 3+0
Elective – IV 3+0
Elective – IV 0+1
Final Year Project – II 0+3
TOTAL 12+4=16
LIST OF ELECTIVES

List of Electives (Social Science Courses)

Title

Cr. Hrs.

Engineering Ethics

3+0

Introduction to Sociology

3+0

Critical Thinking

3+0

Organisational Behaviour

3+0

Introduction to International Relations

3+0

 

List of Electives (Management Science Courses)

Title

Cr. Hrs.

Entrepreneurship

3+0

Leadership

3+0

Principles of Management

3+0

Engineering Economics & Management

3+0

Project Management

3+0

 

List of Electives (Robotics and Intelligent Systems Elective Courses)

Title

Cr. Hrs.

Machine Vision & Robotics

3+0

Introduction to Haptics

3+0

Introduction to Humanoid Robots

3+0

Advanced Modelling of Robotics

3+0

Optimal Kinematic Design of Robots

3+0

Distributive Robotics/Swarm Robotics

3+0

Introduction to Cloud Computing

3+0

Mechanics of Materials

3+0

Swarm Robotics

3+0

Robot Process Automation

3+0

Robot Process Automation  

0+1

Introduction to R Programming

3+0

Introduction to R Programming  

0+1

Computer Vision

3+0

Computer Vision  

0+1

Human Machine Interaction

3+0

Human Machine Interaction  

0+1

Artificial Neural Network

3+0

Artificial Neural Network  

0+1

AI for Computer Games

3+0

AI for Computer Games  

0+1

Chatbots

3+0

Chatbots  

0+1

Digital Image Processing

3+0

Digital Image Processing  

0+1

A BS in Robotics and Intelligent Systems opens a wide range of career prospects for graduates, such as 

  • Robotics Engineering
  • Artificial Intelligence 
  • Automation 
  • Research and Development 
  • Consulting and Entrepreneurship

The programme offers vast opportunities in robotics, artificial intelligence, and automation across various sectors, including manufacturing, healthcare, government, and consulting firms. With the increasing demand for robotics, students can pursue higher education and entrepreneurship in intelligent systems.

BS Computer Networks and Security

Per Cr. Hr.

Cr. Hrs.

Total (PKR)

Tuition

2,500

15

37,500

Examination

250

15

3,750

Semester Registration

 

 

5,000

Student Activity

 

 

2,000

Miscellaneous

 

 

45000

Sub-Total

 

 

93,250

Admission (One Time Only)

 

 

10,000

Security Deposit (One Time Only and Refundable)

 

 

5,000

Grand Total (1st Semester)

 

 

108,250

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