Monte Carlo Methods Course | Education. Online. Free. | iversity
onte Carlo Methods in M Finance
19 Jan
Prof. Dr. Alberto Suárez
22:15
Welcome to the Monte Carlo MOOC! Dear Monte Carlo MOOC students, Welcome to Monte Carlo Methods in Finance! In this course we will explore a family of numerical methods that
involve the generation of random numbers to obtain precise and accurate answers to quantitative problems in finance. The first chapter, scheduled between Monday 2014/01/20 and Wednesday 2014/01/29, introduces some mathematical and financial concepts that will be used throughout the course. After finishing this chapter, you will be able to answer the following questions: What are the properties of time series of asset prices and why are they modeled using stochastic processes? What is an investment portfolio?
Monte Carlo Methods Course | Education. Online. Free. | iversity
What is the difference between simple returns and log returns? What are financial derivatives and how can we compute their price? The chapter consists of units. In the first unit [Unit 1.0] you will find the following material: Summary of the contents of the chapter and the recommended bibliography. Slides for this chapter. Instructions to download the time series of prices for different stocks. Programs that will be used to illustrate the different concepts discussed in this chapter. Homework for Chapter 1, which is due on [Monday 2014/02/03 23:59 GMT+1]. In the second unit [Software resources] you will find instructions to download the software packages that are needed to run the code distributed with the course. You only need ONE of these programs: either GNU Octave or MATLAB. Each of the following units [Unit 1.1 – Unit 1.11] consists of a video followed by a quiz.
Finally, there is a unit in which you can answer the questions included in the homework. The solutions to the homework of Chapter 1 will be published in the last unit of this chapter after the due date. I hope that you enjoy and take advantage of the course! Best, The Monte Carlo MOOC team
22 Dec
Prof. Dr. Alberto Suárez
13:34
Ready for January 20, 2014 https://iversity.org/my/courses/monte-carlo-methods-in-finance/announcements[1/20/2014 8:09:42 PM]
Monte Carlo Methods Course | Education. Online. Free. | iversity
Dear future students, We are looking forward to the New Year and to having you as a student in the course "Monte Carlo Methods in Finance", which will be offered on iversity from 20 January, 2014 until 16 April, 2014. The course is structured in 9 chapters. The chapters are divided into units. Each unit consists of a video followed by a quiz. At the end of each chapter you will solve and turn in some homework exercises. In these exercises you will explore additional material on your own and then respond to questions in multiple choice format. After completing the course assignments (videos, quizzes and homework) you will receive a certificate of participation. Some of the explanations in the videos and the exercises make
reference to short programs that you can download and execute in your own computer. The programs used in the course can be executed either in GNU Octave (version 3.6.4) or in MATLAB. GNU Octave is freely redistributable software and can be downloaded from http://www.gnu.org/software/octave/. The version that should be used in Windows is Octave3.6.4_gcc4.6.2, which can be retreived at the URL Octave 3.6.4 for Windows MinGW. Please follow the instructions in that webpage to install the software. MATLAB is commercial software and you need to have a valid license to install it in your computer. As a result of support from MathWorks, students will be granted a downloadable license to MATLAB and the recommended toolboxes (Statistics and Optimization) for the duration of the course. We are looking forward to embarking on this learning adventure with you! Best wishes for the New Year!
Monte Carlo Methods Course | Education. Online. Free. | iversity
Important Notifcation: Postponement of Course Start Date Dear future student, Thank you for signing up for my course “Monte Carlo Methods in Finance” on iversity! I am sending you this announcement to keep you updated about the progress my team and I are making in preparing the course for you. Due to circumstances outside of our control, the course start date will need to be postponed to 20 January 2014. We are very excited about the opportunities provided by this new form of teaching. However, producing a MOOC presents a number of novel challenges. We want to offer a high quality course, and therefore, would like to ask you for your understanding that we have to shift the beginning date. I apologise for the inconvenience, but I am confident that the wait will be worth it! We are looking forward to sharing this learning experience with you! My best regards, Alberto Suárez
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