BS Artificial Intelligence

Introduction

Artificial Intelligence (AI) refers to the endeavor to create intelligent artificial systems. There are two main directions of study in the field of AI available by the best university in Multan. One is to employ computer models to better understand natural intelligence. The other provides techniques and technology for creating intelligent decision-making and action-taking systems. As a result, AI is a science as well as an engineering discipline. From' smart' controllers for household equipment to computers that can communicate in English or any other language, play games, conduct clever web searches, or operate as a robot's brain, AI has a wide range of applications such as intelligent systems, smart cars, smart houses, purpose base robots, etc.

Program Educational Objectives (PEOs)

PEO-I

Contribute competently in the computing industry by applying requisite technical skills.

PEO-II

Demonstrate advancement in the computing profession by enhancing their knowledge and skills.

PEO-III

Demonstrate ethical values and contribute positively to society.

Programs Learning Outcomes (PLOs)

Knowledge

An ability to apply knowledge of mathematics, science, computing fundamentals, and computing specialization to the solution of complex computing problems.

Problem Analysis

An ability to identify, formulate, research literature, analyze complex computer science problems, reaching substantiated conclusions using first principles of mathematics, natural sciences, and computer sciences.

System Design

An ability to design solutions for complex computer science problems and design systems, components, or processes that meet specified needs while maintaining computing standards, cultural, societal, and environmental considerations.

Investigation

An ability to investigate complex computer science problems in a methodical way, including literature survey, design and development of systems, analysis and interpretation of computational data, and synthesis of the information to derive valid conclusions.

Computing Tool Usage

An ability to create, select and apply appropriate techniques, resources, and modern IT tools, including prediction and modeling, to complex computer science activities, with an understanding of the limitations.

Impact Analysis

An ability to apply to reason informed by the contextual knowledge to assess societal, legal, and cultural issues and the consequent responsibilities relevant to professional computer science practice and solutions to complex computer science problems.

Management Skills

An ability to demonstrate management skills and apply computing principles to one’s own work, as a member and/or leader in a team, to manage projects in a multidisciplinary environment.

Team Work

An ability to work effectively, as an individual or in a team, in multifaceted and /or multidisciplinary settings.

Ethics

Apply ethical principles and commit to professional ethics and responsibilities and norms of computing practice.

Communication

An ability to communicate effectively, orally as well as in writing, on complex computing activities with the computing 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.

Lifelong Learning

An ability to recognize the importance of and pursue lifelong learning in the broader context of innovation and technological developments.

Eligibility Criteria

Intermediate or equivalent with either mathematics as a subject or Pre-Medical as a discipline with at least 50% marks

 

Scheme of Study BS Artificial Intelligence Program

Total Credit Hours = 130

Introduction to ICT Discrete Structures Calculus & Analytical Geometry
Programming Fundamentals English Composition & Comprehension Object Oriented Programming
Database Systems Probability & Statistics Communication & Presentation Skills
Linear Algebra Data Structures & Algorithms Information Security
Artificial Intelligence Differential Equations Computer Networks
Digital Logic & Design Computer Organization & Assembly Language Analysis of Algorithms
Programming for AI Operating Systems Artificial Neural Networks
AI – Elective 1 Machine Learning Knowledge Representation & Reasoning
AI – Elective 2 Computer Vision Natural Language Processing
Parallel & Distributed Computing University Elective -1 AI – Elective 3
AI – Elective 4 University Elective -2 University Elective -3
Software Engineering Technical & Business Writing Final Year Project – 1
University Elective – 4 Pakistan Studies Islamic Studies
Professional Practices Final Year Project – 2

Elective Courses (Group-I)

Fuzzy Systems Data Mining Deep Learning
Theory of Automata & Formal Languages

 

Elective Courses (Group-II)

Advance Statistics Speech Processing Reinforcement Learning
Evolutionary Computing