New Technologies in Finance

  • New Technologies in Finance

    This course will be lectured again in the fall term 2021. You can study the course individually year-round. Please contact ruth.kailaATaalto.fi if you are interested.


    AI



    The course provides a holistic view of the new technologies that are powerfully reshaping and redefining the financial industry. 

    Financial markets are facing new challenges and new opportunities stemming from

    • digitalization and new technologies: fintech, blockchain and cryptocurrencies, high-frequency trading, big data and data analytics, machine learning and artificial intelligence, cybersecurity;
    • new regulations: regulation to open the financial markets for competition, to ease investments, and to stabilize financial markets;
    • rapidly changing global landscape: Fintech startups and large tech companies are challenging traditional banks and financial institutions. 

    The aim of the course is that the students would get both an idea of the multiple possibilities of the new technologies and a basic understanding of some of these technologies. 

    ----

    The course consists of lectures and assignments. The online lectures will be given during period II on Wednesdays from 14.15-16.00. The lectures are not compulsory, this course can be studied individually. The deadline for all the assignments is 15.1.2021.

    Basically, 1 or 3 credits available. On top of this, 2-3 credits additional credits can be earned by doing individual assignments related to machine learning in finance. Please, register here which version you want to pick. You can change your choice later.

    lecture diary on 6 lectures, based on the lectures and/or the lecture material. Instructions on the lecture diary will be given later. To ensure that the student has understood the technical parts of the lectures, the lecture diary might include small assignments. The diary is graded Passed/Failed. 
    the 1 credit version (lecture diary) AND
    an essay of 10-12 pages on some of the topics considered during the course. The essay is graded 0-5. Possible topics for the essay are given at the beginning of the course.

    the 3 credit version AND
    personal computational assignment on machine learning with financial data. To do this assignment, knowledge of both programming and finance is needed - this assignment is carried out very individually. 
     


    Please find more instructions on page 'Passing the course'. 

    ----
    Lecturer Ruth Kaila
    Assistant Eljas Toepfer
    Remote lectures on Wednesdays 28.10.- 2.12. at 14.15-16.00.
    Zoom links are given in the schedule below. 
    The lectures won't be recorded. However, you can pass the course without attending the lectures. All important will be in the lecture notes. 

    ----

    The course is open to all students of Aalto University. There are no specific prerequisites, but some knowledge in engineering mathematics is useful (Basic courses in Mathematics (1-2 years) at Aalto.

    The course can be included in the Minor in Financial Engineering, 20-25 credits.








    Schedule, II period 2020

    Remote live lectures via zoom: Wednesdays at 14.15-16.00  (no recording)

    28.10. Fintech

    1. Motivation
    2. Different areas of Fintech

    4.11. Cryptocurrencies

    1. Different cryptocurencies
    2. Related technologies

    11.11. High-frequency trading

    18.11.  Artificial intelligence

    1. Machine Learning in finance
    2. Natural Language Processing in finance

    25.11. Cybersecurity 

    1. Cyber security in general; lecture by Major Jussi Tuovinen Finnish Defence Forces
    2. Cyber security in finance

    2.12. Quantum computing in finance

    1. Very basics of quantum computers
    2. Possible applications in the financial sector

    Please feel free to ask more information on the course, ruth.kailaATaalto.fi.


    WELCOME!

    Ruth and Eljas





Course home

Course home

Next section

Assignments►