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Accounting and Finance (A&F)
Management of financial resources and reporting for effective decision-making.
Advanced Computer Architecture (ACA)
Exploring cutting-edge concepts in advanced computer system design and optimization.
Advanced Database Concepts (ADC)
In-depth exploration of advanced topics in database management and optimization.
Advanced Operating System (AOS)
Exploring Cutting-Edge Concepts in Advanced Operating System Design and Functionality
Advanced Programming (AdP)
Complex software development techniques, algorithms, and problem-solving for experienced programmers.
Advanced Software Engineering (ASE)
Complex software development methodologies, tools, and best practices for experts.
Advanced Stats (AdS)
Advanced Stats: Complex quantitative methods for in-depth data analysis and interpretation.
Applied Physics (AP)
Practical application of physics principles in real-world technological advancements.
Artificial Intelligence (AI)
Machine learning, algorithms, and data for intelligent computer systems and automation.
Big Data (BD)
Analysis of vast digital datasets for insights, trends, and decision-making.
Business Process Engineering (BPE)
Optimizing workflows for efficiency, innovation, and competitiveness in organizations
COAL LAB (COALL)
Hands-on exploration of computer hardware and low-level programming techniques.
Calculus (Cal)
Mathematical study of change and motion through derivatives and integrals.
Cloud Computing (ICC)
Digital data storage, processing, and access via remote servers.
Communication and Presentation Skills (CPS)
Effective verbal and visual communication techniques for impactful presentations.
Communication and Presentation Skills Lab(CPS Lab)
Enhancing communication, public speaking, and presentation skills through practical exercises.
Complier Construction (CC)
Compiler Construction: Building efficient language translation tools for software development.
Computer Architecture (CA)
Design and organization of computer systems and their components.
Computer Modelling Simulation (CMS)
Digital replication of real-world processes for analysis and problem-solving.
Computer Networks (CN)
Study of data communication and connectivity in digital information systems.
Computer Networks Lab (CN Lab)
Practical exploration of computer network concepts and protocols in a laboratory.
Computer Organization & Assembly Language (COAL)
Hardware fundamentals and low-level programming with assembly language
Computer Vision (CV)
Computer Vision: Machine perception, analysis, and understanding of visual data.
Critical Thinking (CT)
Analytical and reasoned approach to problem-solving and decision-making skills.
Data Science (DS)
Analyzing data to extract insights, inform decisions, and drive innovation.
Data Structures (DS)
Organizing and managing data for efficient storage and retrieval techniques.
Data Structures Lab (DS Lab)
Practical exploration of fundamental data structures through hands-on programming exercises.
Data Warehousing & Data Mining (DW)
Analyzing vast datasets to extract valuable insights for informed decisions.
Data Warehousing and Data Mining (DW)
Integration and analysis of data for informed decision-making and insights.
Database (DB)
Structured storage of digital information for efficient retrieval and management.
Database Lab (DB Lab)
Exploring databases, data management, and SQL in practical laboratory settings.
Deep Learning (DL)
Advanced machine learning technique using neural networks for complex tasks.
Design and Analysis of Algorithms (Algo)
Efficient problem-solving through algorithm development, complexity analysis, and optimization techniques.
Differential Equations (DE)
Mathematical study of rates of change in diverse real-world phenomena.
Digital Image Processing (DIP)
Digital Image Processing: Enhancing, analyzing, and manipulating visual data digitally.
Digital Logic Design (DLD)
Foundations of electronic circuits and binary system for digital technology.
Digital Logic Designing Lab (DLD Lab)
Hands-on exploration of digital circuit design, analysis, and implementation techniques.
Discrete Structures (DS)
Mathematical foundations of computer science and problem-solving with discrete elements.
Ecommerce (EC)
Online buying and selling of goods and services via websites.
English Comprehension Lab (Eng Comp Lab)
Enhancing English comprehension skills through interactive learning and practice sessions
English Comprehension and Composition (Eng Comp)
Enhancing language skills through reading, analysis, and effective writing strategies.
Enterprise Information Systems (EIS)
Integration of technology for efficient business data management and operations.
Entrepreneurship (Entre)
Innovative pursuit of business opportunities, creating value and driving growth.
Environmental Sciences (ES)
Study of Earth's ecosystems, climate, and human impact on nature.
Evolutionary Computation (EC)
Algorithmic optimization inspired by natural selection and genetic algorithms.
Formal Methods (FM)
Mathematical techniques ensuring software/system correctness and reliability through rigorous analysis.
Human Computer Interaction (HCI)
Study of how humans interact with computers and user interface design.
Human Resource Management (HRM)
Strategic personnel oversight for organizational success, talent development, and workforce optimization.
Information Retrieval (IR)
Efficient methods for finding and retrieving relevant data and documents.
Information Security (IS)
Protecting data and systems from unauthorized access and breaches.
International Relations (IR)
Global diplomacy, politics, and cooperation among nations for world order.
Internet of Things (IOT)
Interconnected devices transforming data, automation, and connectivity across industries and homes.
Intro to Data Science (Intro to DS)
Foundations of Data Analysis and Interpretation for Practical Decision-Making.
Introduction To ICT (IICT)
Foundations of Information and Communication Technology: An Introductory Overview.
Islamic Studies
Academic exploration of Islam's history, beliefs, culture, and societal impact.
Linear Algebra (LA)
Mathematical study of vectors, matrices, and their algebraic properties.
Management and Organizational Behavior (MOB)
Study of leadership, teamwork, and decision-making in organizational settings.
Marketing Management (MM)
Strategies for promoting products, services, and brands in competitive markets.
Mass Communication (MC)
Study of information dissemination through various media channels and platforms.
Natural Language Processing (NLP)
Computer-based analysis of human language for communication and understanding.
Network Security (NS)
Protecting digital systems from threats through robust safeguarding techniques.
Numerical Computing (NC)
Mathematical techniques for efficient, accurate, and practical computational solutions.
Object Oriented Analysis & Design Lab (SDA Lab)
Practical application of Object-Oriented concepts in software system development.
Object Oriented Programming (OOP)
Programming paradigm using objects to model and organize code systems.
Object Oriented Programming Lab (OOP Lab)
Practical application of OOP concepts through hands-on programming exercises.
Operating System (OS)
Software managing hardware and enabling user applications on computers.
Operating System Lab (OS Lab)
Exploring OS fundamentals, practical implementation, and system administration techniques.
Operations Research (OR)
Mathematical optimization for efficient decision-making and problem-solving in complex systems.
Pakistan Studies (PS)
Interdisciplinary study of Pakistan's history, culture, society, and political development.
Parallel and Distributed Computing (PB)
Improving software reliability and performance through systematic quality assurance practices.
Parallel and Distributing Computing (PDC)
Efficient computing across multiple processors for faster data processing.
Principles of Leadership (PoL)
Fundamental principles guiding effective and ethical leadership strategies and practices.
Probability
Quantifying uncertainty and predicting outcomes through mathematical analysis and statistics.
Professional Issues in IT (PP)
Ethical dilemmas, security, and challenges in contemporary Information Technology careers.
Programming Fundamental Lab (PF Lab)
Introduction to coding basics and hands-on programming exercises for beginners.
Programming Fundamentals (PF)
Essential principles for beginners: Programming Fundamentals demystified and made accessible.
Psychology
The study of mind, behavior, and mental processes in individuals.
Requirements Engineering (RE)
Requirements Engineering: Defining, analyzing, and documenting software project specifications effectively.
Social Network Analysis (SNA)
Analyzing connections in networks to study social relationships and structures.
Sociology
Study of human society, behavior, and relationships to understand social dynamics.
Software Design and Analysis (SDA)
Methods for creating and evaluating effective software solutions systematically.
Software Engineering (SE)
Designing, developing, and maintaining efficient, reliable, and scalable software systems.
Software Engineering Technologies (SET)
Advanced tools and methods for modern software development practices.
Software Process Management and Metrics (SPMM)
Optimizing software development through effective processes and performance measurement techniques.
Software Quality Assurance & Management (SQA)
Ensuring software reliability, efficiency, and compliance through systematic management.
Software Requirements Engineering (SRE)
Capturing, analyzing, and documenting software needs for successful development projects
Software Testing (ST)
Quality assurance through systematic evaluation and validation of software functionality.
Software for Mobile Devices (SMD)
Mobile Device Software: Development, Applications, and User Experience Optimization.
Statistical Pattern Recognition & Learning (SPRL)
Machine learning techniques for recognizing patterns in complex data sets.
Technical & Business Writing (TBW)
Effective communication for professionals in technical and business contexts.
Theory of Automata (TA)
Formal study of abstract machines and computational problem-solving principles.
Theory of Programming Languages (TPA)
Study of formal languages, syntax, semantics, and language design principles.
Web Engineering (WE)
Designing, developing, and maintaining websites and web applications for efficiency.
Web Programming (WP)
Creating dynamic websites using coding languages for interactive user experiences.
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