Atlantis University - Online Campus

Economics is the study of choices we make among our many wants and desires, given our limited resources. Resources are the input that society uses to produce output, called goods. These resources and goods are considered scarce because of society’s tendency to demand more resources and goods than are available. Macroeconomics is the study of the market system on a large scale. Macroeconomics considers the aggregate performance of all markets in the market system and is concerned with the choices made by the household sector, the business sector, and the government sector.

El curso " Child Development and Psychology" se enfoca en las teorías del desarrollo del niño y los principios psicológicos que subyacen al aprendizaje y conducta de los niños.

En el presente curso los estudiantes aprenderán sobre los procesos de evaluación y diagnóstico utilizados para identificar las necesidades individuales de los estudiantes con discapacidades. Se enfocarán en métodos de evaluación formativa y sumativa, adaptaciones en las evaluaciones y el uso de datos para informar la toma de decisiones educativas.

En el presente curso los estudiantes aprenderán sobre los procesos de evaluación y diagnóstico utilizados para identificar las necesidades individuales de los estudiantes con discapacidades. Se enfocarán en métodos de evaluación formativa y sumativa, adaptaciones en las evaluaciones y el uso de datos para informar la toma de decisiones educativas.

Este curso se centra en estrategias y métodos efectivos para la enseñanza de matemáticas a estudiantes con discapacidades leves a moderadas. Está diseñado para proporcionar a los educadores el conocimiento, las habilidades y las herramientas necesarias para apoyar el aprendizaje matemático de estudiantes diversos en entornos educativos inclusivos.  

The Data Structures course is designed to introduce students to the fundamental concepts of data structures and algorithms using the Python programming language. This course aims to provide students with a solid understanding of various data structures and their practical implementation in Python. Throughout the course, students will explore collections such as arrays, linked structures, stacks, queues, lists, trees, sets, dictionaries, and graphs, while also delving into important topics such as searching, sorting, complexity analysis, and algorithmic strategies.

Software Industry Foundations introduces students to the fundamental principles, processes, and professional practices used in the modern software industry. The course focuses on how software systems are conceived, planned, designed, constructed, tested, deployed, and maintained within organizational and industrial environments.

Rather than emphasizing programming syntax, the course emphasizes software engineering as a disciplined process, integrating technical, organizational, and quality considerations. Students study multiple software development life cycle (SDLC) models and learn how to select appropriate models based on project context, risk, scale, and constraints. The course also covers project planning and estimation, requirements analysis, structured and object-oriented design, modular construction principles, systematic testing and debugging, software measurement, and software quality.

Throughout the course, students apply theoretical concepts through hands-on activities, written analyses, modeling exercises, and a comprehensive final project that simulates a real-world software engineering scenario. By the end of the course, students will understand how professional software teams operate and how engineering discipline supports reliable, maintainable, and high-quality software systems.