Informatics and Econometrics
In semester 1, students complete library training and a health and safety course on a platform available at https://szkolenia.sggw.pl
| Subject | Number of hours | ECTS points | Form of verification | |
|---|---|---|---|---|
|
OHS training:
4 |
- | Pass | O | |
|
Dynamic and financial econometrics
|
Lecture:
15 Laboratory exercises: 30 |
4 | Exam | O |
|
Multidimensional Data Analysis
|
Lecture:
30 Laboratory exercises: 15 |
4 | Pass with grade | O |
|
Network Services
|
Lecture:
15 Laboratory exercises: 15 |
3 | Pass with grade | O |
|
Foundations of Artificial Intelligence
|
Lecture:
15 Laboratory exercises: 15 |
2 | Pass with grade | O |
|
Second Foreign Language
|
Language course:
30 |
2 | Pass with grade | G |
|
Econometric Modelling
|
Lecture:
15 Laboratory exercises: 15 |
2 | Pass with grade | O |
|
Object Oriented Programming
|
Laboratory exercises:
30 |
3 | Pass with grade | O |
|
Operational Research - Applications
|
Lecture:
15 Laboratory exercises: 30 |
3 | Exam | O |
|
Selected Issues in Sociology and Psychology
|
Lecture:
30 Auditorium exercises: 15 |
3 | Pass with grade | O |
|
Big Data Analytics
|
Lecture:
15 Laboratory exercises: 30 |
4 | Pass with grade | F |
| Sum | 379 | 30 |
| Subject | Number of hours | ECTS points | Form of verification | |
|---|---|---|---|---|
|
Survey Sampling
|
Lecture:
15 Laboratory exercises: 30 |
3 | Exam | O |
|
Master Seminar
|
Auditorium exercises:
30 |
2 | Pass | O |
|
Big Data Analytics
|
Lecture:
15 Laboratory exercises: 30 |
4 | Exam/pass with grade | G |
|
Module 1
|
Lecture:
90 |
6 | Pass with grade | G |
|
Second Foreign Language
|
Language course:
30 |
2 | Pass with grade | G |
|
Mathematical Economics
|
Lecture:
30 Auditorium exercises: 30 |
5 | Exam | O |
|
Microeconometrics
|
Lecture:
15 Laboratory exercises: 30 |
3 | Exam | O |
|
Software Engineering
|
Laboratory exercises:
30 |
3 | Pass with grade | O |
|
Advanced Programming
|
Laboratory exercises:
30 |
2 | Pass with grade | O |
| Sum | 405 | 30 |
| Subject | Number of hours | ECTS points | Form of verification | |
|---|---|---|---|---|
|
Theory of Forecasting and Simulations
|
Lecture:
15 Laboratory exercises: 30 |
4 | Exam | O |
|
Basics of Financial Engineering
|
Lecture:
15 Laboratory exercises: 30 |
4 | Exam | O |
|
Big Data Analytics
|
Lecture:
45 Laboratory exercises: 90 |
10 | Exam | G |
|
Module 2
|
Lecture:
90 |
6 | Pass with grade | G |
|
Master Seminar
|
Auditorium exercises:
30 |
2 | Pass | O |
|
Network Security
|
Lecture:
15 Laboratory exercises: 30 |
4 | Pass with grade | O |
| Sum | 390 | 30 |
| Subject | Number of hours | ECTS points | Form of verification | |
|---|---|---|---|---|
|
Statistical Analysis in Market Research
|
Laboratory exercises:
30 |
2 | Pass with grade | O |
|
Business Ethics
|
Lecture:
15 Auditorium exercises: 15 |
1 | Pass with grade | O |
|
Master thesis
|
Diploma thesis:
0 |
20 | - | G |
|
Master Seminar
|
Auditorium exercises:
30 |
2 | Pass | O |
|
Project Management
|
Lecture:
15 Laboratory exercises: 30 |
4 | Exam | O |
|
Intelectual Property Management
|
Lecture:
15 |
1 | Pass with grade | O |
| Sum | 150 | 30 |
