Course Structure
The Bachelor of Computer Applications program at Gulzar Group of Institutions offers a comprehensive curriculum spanning six semesters.
Provides foundational knowledge of computer systems, software, and hardware, introducing basic concepts and terminology essential for understanding computing technologies.
Teaches the C programming language fundamentals, focusing on syntax, control structures, functions, and data handling to build robust and efficient applications.
Covers essential mathematical concepts, including algebra, calculus, and discrete mathematics, that are fundamental for problem-solving in computer science and programming.
Explores computer hardware components, system architecture, and data representation, providing insights into how computers process and execute instructions.
Introduces electronic components and circuits, including diodes, transistors, and logic gates, crucial for understanding computer hardware and digital systems.
Focuses on object-oriented programming concepts using C++, including classes, objects, inheritance, and polymorphism to create modular and reusable code.
Teaches fundamental data structures such as arrays, linked lists, stacks, and queues, and their applications for efficient data management and algorithm design.
Builds on mathematical principles with topics like probability, statistics, and linear algebra, supporting analytical and quantitative skills necessary for computer science applications.
Covers the basics of operating systems, including process management, memory management, file systems, and system calls, essential for understanding how software interacts with hardware.
Introduces database concepts, including data modelling, SQL, normalisation, and transaction management, focusing on designing and managing efficient relational databases.
Explores software development methodologies, project management, and lifecycle models, emphasising best practices for designing, developing, and maintaining software applications.
Focuses on Java programming, covering object-oriented principles, exception handling, multithreading, and graphical user interfaces for building scalable applications.
Teaches the fundamentals of computer networks, including network protocols, topologies, and security, providing knowledge on how data is transmitted across networks.
Introduces data analysis techniques, including statistical methods, data visualisation, and data mining, to interpret and utilise data for decision-making and insights.
Covers principles and tools for developing mobile applications, including design patterns, user interface design, and mobile platforms like Android and iOS.
Delves into advanced Java concepts, including Java Enterprise Edition (JEE), frameworks, and APIs, for developing enterprise-level applications and web services.
Focuses on methodologies for analysing and designing information systems, including requirement gathering, modelling, and implementation strategies.
Introduces AI concepts, including machine learning, neural networks, and natural language processing, for developing intelligent systems and applications.
Teaches web programming techniques using server-side scripting languages, web services, and frameworks to build dynamic and interactive web applications.
Covers principles of managing software projects, including planning, scheduling, risk management, and quality assurance, essential for successful project execution.
Focuses on creating interactive and functional web applications using advanced tools, technologies, and frameworks, including front-end and back-end development.
Explores advanced database topics, including distributed databases, NoSQL databases, and database optimization techniques for complex data management tasks.
Introduces cloud computing concepts, including cloud services, deployment models, and virtualization, enabling students to design and manage cloud-based applications and infrastructure.
Covers machine learning algorithms and techniques, including supervised and unsupervised learning, for developing systems that can learn and make predictions from data.
Provides practical experience through industry internships or projects, allowing students to apply their knowledge in real-world settings and gain valuable hands-on skills.
Teaches principles of cybersecurity, including risk management, encryption, and security protocols, to protect systems and data from threats and breaches.
Focuses on software testing methodologies, including test planning, execution, and automation, to ensure the quality and reliability of software applications.
Introduces big data concepts and tools, including data processing frameworks like Hadoop and Spark, for managing and analysing large volumes of data.
Requires students to undertake a research project or dissertation, applying their knowledge to solve a specific problem or explore a topic in depth.
Covers ethical issues and professional standards in computing, emphasising responsible behaviour, legal considerations, and best practices in the technology industry.
