BS Computer Science

Introduction

Computer science has a wide range of applications in every field of life. The processes and concepts employed in the development of complex software systems are the emphases of the BS (Computer Sciences) curriculum. This BS Computer Science curriculum guides students through the examination of computer science's conceptual foundations, such as fundamental algorithms and programming languages, database systems, software and project management, artificial intelligence, data sciences, and more. The curriculum gives students a wide understanding of modern software and hardware tools and techniques and introduces them to a variety of programming paradigms. Additionally, students have the option of selecting from a diverse variety of electives.

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 discipline with at least 50% marks

 

Scheme of Study BS Computer Science Program

Total Credit Hours = 130

Introduction to ICT Calculus & Analytical Geometry Digital Logic & Design
Programming Fundamentals Functional English Discrete Structure
Communication & Presentation Skills Probability & Statistics Islamic Studies
Object-Oriented Programming Computer Organization & Assembly Language Data Structures & Algorithms
Technical & Report Writing Design & Analysis of Algorithms Operating System
Differential Equations Database Systems Theory of Automate
Linear Algebra Computer Networks Information Security
Software Engineering CS-Supporting 1 Compiler Construction
Artificial Intelligence Human Resource Management Digital Image Processing
CS-Supporting 2 Pakistan Studies Software Project

Elective Courses

Internet & Web Engineering Human Computer Interaction Introduction to Data Sciences
Advance Object Oriented Programming Data Mining & Data Warehousing Wireless Networks
Information Security Introduction to Machine Learning Digital Image Processing
Big Data Analysis Data & Network Security Advance DBMS
Introduction to Machine Vision Natural Language Processing Economics
Theory of Programming Languages Fundamentals of Marketing Financial Accounting
Visual Programming