Database courses teach students how to design, implement, and use databases. They cover topics such as relational databases, Structured Query Language (SQL), and database management systems (DBMS).
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E-LEARNING MANAGEMENT SYSTEM
DATAMEX COLLEGE OF SAINT ADELINE
(SUCAT BRANCH)
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An operating systems course typically provides a comprehensive understanding of how an operating system functions, covering key concepts like process management, memory allocation, file systems, scheduling algorithms, inter-process communication, device management, and security mechanisms, with a focus on how the OS acts as an interface between hardware and user applications, efficiently managing system resources to allow smooth program execution; students may also gain practical experience through implementing parts of a simple operating system to solidify theoretical knowledge.
Database courses teach students how to design, implement, and maintain databases. They cover topics such as relational databases, Structured Query Language (SQL), and database management systems (DBMS).
This course, using both lecture and laboratory practice, introduces students to basic computer concepts in hardware, software, networking, computer security, programming, database, e-commerce, decision support systems, and other emerging technologies such as blogs, wiki, RSS, podcasting, and Google applications. Additional lectures examine social, legal, ethical issues including privacy, intellectual property, health concerns, green computing, and accessibility. Students learn techniques to search, evaluate, validate, and cite information found online. Widely used applications including word processing, spreadsheets, databases, presentation, and web development software are studied.
An Applied Economics course focuses on applying core economic principles and theories to analyze and solve real-world problems across different sectors like business, government, and society, often using data analysis and statistical methods to evaluate the economic impact of policies and decisions, equipping students with practical skills to understand and address contemporary economic issues like pricing, market dynamics, and policy implications within a specific context
System analysis and design deal with planning the development of information systems through understanding and specifying in detail what a system should do and how the components of the system should be implemented and work together.
This course introduces World Wide Web as a fundamental information and application platform for today’s information systems. Students will examine core aspects of web technologies and web applications, and will develop usable websites. Independent research on an assigned topic is also required.
College Algebra is the introductory course in algebra. The course is designed to familiarize learners with fundamental mathematical concepts such as inequalities, polynomials, linear and quadratic equations, and logarithmic and exponential functions.
Developing and managing efficient and effective database applications requires understanding the fundamentals of database management systems, techniques for the design of databases, and principles of database administration. This course emphasized database concepts, developments, use and management in three main sections: database concepts, practice, and emerging trends. Relational database systems are the main focus, but other types, including object- oriented databases, are studied. Practical design of databases and developing database applications using modern software tools will be emphasized.
- Teacher: Kennan Virrey
Computers cannot interpret mathematical values and functions as continuous values to how they were built and developed. This course will provide the students with a background on discrete mathematical structures and how it is applied to Computer Science.
This course introduces advanced programming skills and focuses on the core concepts of object-oriented programming and design using a high-level language, either Python or Java. The course focuses on the understanding and practical mastery of object-oriented concepts such as classes, objects, data abstraction, methods, method overloading, inheritance and polymorphism. Practical applications in the domain of data science and as seen in stacks, queues, lists, and trees will be examined.