Principles of Valuation: Time Value of Money
link Источник: www.coursera.org
list 6 последовательности
assignment Уровень : Средний
chat_bubble_outline Язык : английский
language Субтитры : корейский
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timer 60 час(ы) курса

Резюме

We will introduce the time value of money (TVM) framework in a carefully structured way, using relatively simple applications at first and quickly moving to more advance ones. We will then spend some time on developing an understanding of alternative decision criteria (NPV, IRR, Profitability, etc.) that are commonly used in the real world. We will wrap up the course with an exposure to the determination of cash flows using accounting principles. The main focus in this building block will be on individual/personal decisions because of two reasons: (a) we learn when we see value to us as individuals and (b) the beauty of finance is that the building blocks of finance are applicable to any decision, personal or corporate. The course will last six weeks with time included for assimilation and two final exams. You can do this course standalone or as part of the online Specialization on Valuation & Investing or to qualify for the residential component of the Finance for Strategic Decision-Making Executive Education program. For more information on the Finance for Strategic Decision-Making Executive Education program, see the FAQ below.

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Программа

  • Week 1 - Overview of Specialization & Course
    This module contains detailed videos and syllabi of both the Specialization and this course. This specialization has been designed to enable you to learn and apply the powerful tools of modern finance to both personal and professional situations. The courses w...
  • Week 1 - Module 1
    In module one, we will introduce the framework of time value of money (TVM) in a carefully structured way, using relatively simple applications.
  • Week 2 - Module 2
    We will build on Module 1, and move quickly to more advanced applications of TVM focusing on situations we confront on a daily basis.
  • Week 3 - Module 3
    In this module, we will spend some time on developing an understanding of alternative decision criteria - Net Present Value (NPV), Internal Rate of Return (IRR), Profitability, etc. - that are commonly used in the real world, with a focus on a critical evaluat...
  • Week 4 - Module 4
    We will wrap up the course by exposing you to the key determinants of cash flows using accounting principles.
  • Week 5 - Module 5
    This week will be spent on a short wrap up video of the course and time for assimilation and review by learners to be prepared to take the final exams. In the past, learners have really valued this time and hence it is built into this new structure/platform as...
  • Week 6 - Module 6
    This is finals week. Please note there are two finals and you need to attempt both.
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Пользователи

Gautam Kaul
Professor of Finance & Fred M. Taylor Professor of Business Administration
Ross School of Business

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Разработчик

University of Michigan

L'Université du Michigan (UM, UMich ou simplement Michigan) est une université publique de recherche située à Ann Arbor, dans le Michigan, aux États-Unis. Fondée en 1817, l'université est la plus ancienne et la plus grande du Michigan.

La mission de l'université du Michigan est de servir les habitants du Michigan et le monde entier en occupant une place prépondérante dans la création, la communication, la préservation et l'application des connaissances, de l'art et des valeurs académiques, et en formant des dirigeants et des citoyens qui défieront le présent et enrichiront l'avenir.

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Платформа

Coursera

Coursera - это цифровая компания, предлагающая массовые открытые онлайн-курсы, основанные учителями компьютеров Эндрю Нгом и Стэнфордским университетом Дафни Коллер, расположенные в Маунтин-Вью, штат Калифорния.

Coursera работает с ведущими университетами и организациями, чтобы сделать некоторые из своих курсов доступными в Интернете, и предлагает курсы по многим предметам, включая: физику, инженерию, гуманитарные науки, медицину, биологию, социальные науки, математику, бизнес, информатику, цифровой маркетинг, науку о данных и другие предметы.

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