AI in Finance
Ing. Martina Halousková
AI in Finance
Ing. Martina Halousková
AI in Finance
Info
Course
Term
Autumn 2023

Preliminary outline of the course during the semester - subject to change.

Timetable

Sat 23. 9. 12:00–15:50 VT206, 
Sat 14. 10. 12:00–15:50 VT206,
Sat 2. 12. 12:00–15:50 S314


Assessment methods
Grading is based on midterm (30%) and final exam (70%). 
A total of 51% minimum is required to pass. 
MUNI students who study study abroad have to pass the midterm and the exam.

Midterm
The midterm will be in the form of a take-home assignment.
You will receive the assignment after the lecture on 2.12., and you will have one week to work on it.
There will be no theoretical questions. You will receive a dataset with a set of instructions. The main goal of your analysis will be to design a prediction model. You can use all scripts/codes/functions from lectures.
Week 1 - 23.9.2023
Open

Introduction to programming in R and R studio & course info.

Chapter contains:
1
Folder
1
Study text
Teacher recommends to study from 23/9/2023 to 8/10/2023.
Week 2 - 14.10.2023
Open
Chapter contains:
1
PDF
3
Folder
1
Study text
Teacher recommends to study from 14/10/2023 to 31/10/2023.
Week 3 - 2.12.2023 + EXAM
Open
Chapter contains:
8
Homework Vault
1
PDF
3
Folder
1
Study text
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