Skip to main content
MyCourses MyCourses
  • Schools
    School of Arts, Design, and Architecture (ARTS) School of Business (BIZ) School of Chemical Engineering (CHEM) –sGuides for students (CHEM) – Instructions for report writing (CHEM) School of Electrical Engineering (ELEC) School of Engineering (ENG) School of Science (SCI) Language Centre Open University Library Aalto university pedagogical training program UNI (exams) Sandbox
  • CORONAVIRUS INFO
    Koronavirus - tietoa opiskelijalle Coronavirus - information for students Coronavirus - information för studerande Koronaviruksen vaikutus opiskeluun: kysymyksiä ja vastauksia Effects of the coronavirus on studies: questions and answers Coronaviruset och studierna: frågor och svar Corona help for teachers
  • Service Links
    MyCourses - Instructions for Teachers - Teacher book your online session with a specialist - Digital tools for teaching - Personal data protection instructions for teachers - Instructions for Students - Workspace for thesis supervision WebOodi Into portal for students Courses.aalto.fi Library Services - Resourcesguides - Imagoa / Open science and images IT Services Campus maps - Search spaces and see opening hours Restaurants in Otaniemi ASU Aalto Student Union Aalto Marketplace
  • ALLWELL?
    Study Skills Support for Studying Starting Point of Wellbeing About AllWell? study well-being questionnaire
  •   ‎(en)‎
      ‎(en)‎   ‎(fi)‎   ‎(sv)‎
  • Toggle Search menu
  • Hi guest! (Log in)

close

TU-EV - New technologies in finance, 28.10.2020-02.12.2020

  1. Home
  2. Courses
  3. School of Science
  4. department of...
  5. tu-ev - new t...
Syllabus

New Technologies in Finance

  • 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.

    1 credit version:
    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. 

    3 credit version: 
    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.

    5-6 credit version:
    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. 
     

    Remember to register your credit choice!

    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.
    Here is the official page for the Minor.








    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





    • icon for activity Announcements Forum
    • icon for activity General discussion Forum

Course home

Course home

Next section

Assignments►
Skip Upcoming events
Upcoming events
Loading There are no upcoming events
Go to calendar...
  • TU-EV - New technologies in finance, 28.10.2020-02.12.2020
  • Sections
  • New Technologies in Finance
  • Assignments
  • Passing the course
  • Choosing the course version
  • Home

Aalto logo

Tuki / Support
  • MyCourses help
  • mycourses(at)aalto.fi
Palvelusta
  • MyCourses rekisteriseloste
  • Tietosuojailmoitus
  • Palvelukuvaus
About service
  • MyCourses protection of privacy
  • Privacy notice
  • Service description
Service
  • MyCourses registerbeskrivining
  • Dataskyddsmeddelande
  • Beskrivining av tjänsten

Hi guest! (Log in)
  • Schools
    • School of Arts, Design, and Architecture (ARTS)
    • School of Business (BIZ)
    • School of Chemical Engineering (CHEM)
    • –sGuides for students (CHEM)
    • – Instructions for report writing (CHEM)
    • School of Electrical Engineering (ELEC)
    • School of Engineering (ENG)
    • School of Science (SCI)
    • Language Centre
    • Open University
    • Library
    • Aalto university pedagogical training program
    • UNI (exams)
    • Sandbox
  • CORONAVIRUS INFO
    • Koronavirus - tietoa opiskelijalle
    • Coronavirus - information for students
    • Coronavirus - information för studerande
    • Koronaviruksen vaikutus opiskeluun: kysymyksiä ja vastauksia
    • Effects of the coronavirus on studies: questions and answers
    • Coronaviruset och studierna: frågor och svar
    • Corona help for teachers
  • Service Links
    • MyCourses
    • - Instructions for Teachers
    • - Teacher book your online session with a specialist
    • - Digital tools for teaching
    • - Personal data protection instructions for teachers
    • - Instructions for Students
    • - Workspace for thesis supervision
    • WebOodi
    • Into portal for students
    • Courses.aalto.fi
    • Library Services
    • - Resourcesguides
    • - Imagoa / Open science and images
    • IT Services
    • Campus maps
    • - Search spaces and see opening hours
    • Restaurants in Otaniemi
    • ASU Aalto Student Union
    • Aalto Marketplace
  • ALLWELL?
    • Study Skills
    • Support for Studying
    • Starting Point of Wellbeing
    • About AllWell? study well-being questionnaire
  •   ‎(en)‎
    •   ‎(en)‎
    •   ‎(fi)‎
    •   ‎(sv)‎