Estructura de capital y política de dividendos

  • 3.6
Approx. 9 hours to complete

Course Summary

This course introduces the fundamental concepts of data structures and algorithms. It covers topics such as Arrays, Stacks, Queues, Linked List, Trees, Graphs, Sorting, Searching, and Hashing.

Key Learning Points

  • Develop foundational skills in data structures and algorithms
  • Understand the importance of efficient algorithms
  • Learn how to analyze the runtime of algorithms

Related Topics for further study


Learning Outcomes

  • Ability to design and implement basic data structures and algorithms
  • Understand how to analyze the performance of algorithms
  • Develop a strong foundation for further study in computer science

Prerequisites or good to have knowledge before taking this course

  • Basic understanding of programming
  • Familiarity with a programming language such as Java, Python, or C++

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced

Similar Courses

  • Data Structures and Algorithms Specialization
  • Algorithms, Part I
  • Introduction to Data Structures and Algorithms in C++

Related Education Paths


Related Books

Description

En el curso estructura de capital y política de dividendos se analizará la forma en la que una empresa financia sus activos a través de métodos internos o externos, estructurando así su pasivo y capital. Dichas fuentes de financiamiento se ven reflejadas en el costo de capital promedio ponderado (Weighted Average Cost of Capital- WACC). De la mano de la determinación de dicho costo de financiamiento y de la estructura del capital, el administrador financiero deberá determinar la política de dividendos, tomando como referencia el teorema de Modilgliani – Miller. En este curso el administrador financiero adicionalmente será capaz de evaluar activos financieros o portafolios, evaluando la relacion que existe entre riesgo y retorno bien a través del modelo Capital Asset Pricing Model CAPM o del Arbitrage Pricing Theory APT.

Outline

  • Estructura de Capital y Política de Dividendos
  • Bienvenida
  • Si no estás inscrito a este curso como usuario de Coursera para la UNAM, por favor revisa esta información:
  • Bienvenida al curso
  • Estructura de Capital
  • Capital
  • Financiamiento
  • Funciones del administrador financiero
  • Mensaje final del módulo
  • Capital de operación de la empresa
  • Costo de Capital
  • Teorema de Modigliani y Miller
  • Costo Promedio Ponderado de Capital
  • Mensaje final del módulo
  • Fuentes de capital
  • Riesgo
  • Beta y retorno esperado
  • Mensaje final del módulo
  • Presencia de riesgo
  • Valuación de Activos Financieros (CAPM)
  • Modelo y fórmula CAPM
  • Mensaje final del módulo
  • Modelo de valuación de activos financieros
  • Política de Dividendos
  • Tipos de acciones
  • Crecimiento de dividendos
  • Mensaje final del módulo
  • Administración de dividendos

Summary of User Reviews

Discover the basics of structural engineering with this comprehensive online course. Students praise the engaging instructors who make complex concepts easy to understand. Overall, this course is highly recommended for anyone interested in learning about structural engineering.

Key Aspect Users Liked About This Course

Engaging instructors who make complex concepts easy to understand.

Pros from User Reviews

  • Comprehensive coverage of structural engineering basics
  • Highly engaging instructors who make complex concepts easy to understand
  • Great course for beginners in structural engineering
  • Interactive exercises and quizzes keep students engaged
  • Course content is well-organized and easy to follow

Cons from User Reviews

  • Some students found the course material too basic
  • Lack of real-life case studies or examples
  • Course may move too slowly for those with prior experience in structural engineering
  • Limited opportunities for interaction with instructors or other students
  • Limited job prospects for those who complete the course
Spanish
Available now
Approx. 9 hours to complete
Carlos Martínez de la Fuente
Universidad Nacional Autónoma de México
Coursera

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