Module Courses
MODULE COURSES
From the academic year 2021-22 the Statistics Department, in collaboration with the Informatics Department, introduces courses modules which consist of specific courses from both departments that are related to specific subjects. The modules subjects are:
- Data Science Module
- Operational Research Module
- Applied Mathematics Module
Each module’s courses offer the students flexibility to obtain additional knowledge in their subject.
Module Completion: In order for a student to complete a module, he/ she has to succeed in at least 5 module courses (these courses must not have been taken in any other modules), at least 2 of those has to be either from the Informatics Department either from the Management of Science and Technology Department.
Non – Compulsoriness: The modules are not compulsory, and the students are free to take courses of all modules. If a student does complete a module this is noted in the Diploma’s annex.
The courses titles and the way they are distributed in modules is displayed in the table below:
Cod. |
Course |
Data Science |
Operational Research |
Applied Mathematics |
Semester |
ECTS |
---|---|---|---|---|---|---|
6023 |
Linear Models (STAT) |
P |
4th |
8 |
||
6005 |
Data Analysis (STAT) |
P |
6th |
8 |
||
6136 |
Multivariate Statistical Analysis (STAT) |
P |
6th |
8 |
||
3531 |
Artificial Intelligence (INF) |
P |
5th |
7 |
||
3745 |
Machine Learning (INF) |
P |
7th |
6 |
||
3743 |
Data Mining (INF) (old title: Data Mining g from Large Databases and the Web) |
P |
8th |
6 |
||
3436 |
Databases (INF or DET) |
P |
4th |
8 |
||
6127 |
Methods of Statistical and Machine Learning (STAT) |
P |
7th |
8 |
||
3644 |
Information Retrieval Systems (INF) |
P |
8th |
6 |
||
6126 |
Stochastic Processes Ι (STAT) |
P |
P |
3rd |
8 |
|
6153 |
Introduction to Operations Research (STAT) |
P |
P |
6th |
7 |
|
6057 |
Stochastic Processes ΙΙ (STAT) |
P |
P |
7th |
8 |
|
6123 |
Statistical Quality Control (STAT) |
P |
4th |
7 |
||
6145 |
Time Series Analysis (STAT) |
P |
4th |
8 |
||
6125 |
Simulation (STAT) |
P |
6th |
7 |
||
3432 |
Algorithms (INF) |
P |
4th |
7 |
||
3713 |
Decision and Game Theory (INF) |
P |
8th |
6 |
||
3632 |
Special Topics in Algorithms (INF) |
P |
7th |
6 |
||
8116 |
Mathematical Programming (DET) |
P |
4th |
6 |
||
8143 |
Combinatorial Optimization (DET) |
P |
P |
7th |
6 |
|
6124 |
Probabilities IΙ (STAT) |
P |
2nd |
7,5 |
||
6082 |
Linear Algebra ΙΙ (STAT) |
P |
2nd |
7,5 |
||
6133 |
Introduction to Mathematical Analysis (STAT) |
P |
3rd |
7 |
||
6143 |
Mathematical Methods (STAT) |
P |
4th |
7 |
||
6116 |
Probability Theory (STAT) |
P |
6th |
8 |
||
6115 |
Numerical Methods in Statistics (STAT) |
P |
6th |
7 |
||
6256 |
Special Topics in Statistics and Probability (STAP): Introduction to Measurement Theory with regard to Probability and Statistics (STAT) |
P |
8th |
7 |
||
3117 |
Discrete Mathematics (INF) |
P |
1st |
6 |
||
3513 |
Numerical Linear Algebra (old title: Applied Numerical Analysis) (INF) |
P |
8th |
6 |
||
3612 |
Special Topics in Discrete Mathematics (INF) |
P |
8th |
6 |
||
3814 |
Information Theory (INF) |
P |
8th |
6 |
The teaching semester and the ECTS’s for courses provided either by the Statistics Department or other Departments could be modified.
COMMON MODULES INFORMATICS – STATISTICS - PREREQUISITES
DATA SCIENCE MODULE
PREREQUISITES |
|
---|---|
Artificial Intelligence (INF) |
Calculus II (STAT) or Algorithms (INF) |
Machine Learning (INF) |
Calculus II (STAT) or Artificial Intelligence (INF) |
Data Mining (INF) (old title: Data Mining g from Large Databases and the Web) |
Databases (INF) or Artificial Intelligence (INF) |
Databases (INF or DET) |
Introduction to Programming using R (STAT) or Programming with JAVA(INF) |
Methods of Statistical and Machine Learning (STAT) |
-------- |
Multivariate Statistical Analysis (STAT) |
-------- |
Information Retrieval Systems (INF) |
Introduction to Programming using R (STAT) or Computer Programming in Java (INF) |
Linear Models (STAT) |
Estimation – Hypothesis Testing (STAT) |
Data Analysis (STAT) |
Linear Models (STAT) |
OPERATIONAL RESEARCH MODULE
TITLE |
PREREQUISITES |
Algorithms (INF) |
Introduction to Programming using R (STAT) |
Introduction to Operations Research (STAT) |
----- |
Decision and Game Theory (INF) |
Calculus Ι (STAT), and Probabilities Ι (STAT) or Probabilities ΙΙ (STAT) |
Stochastic Procedures ΙΙ (STAT) |
----- |
Simulation (STAT) |
----- |
Topics in Algorithms (INF) |
Databases (INF) Or Algorithms (INF) |
Mathematical Programming (DET ) |
----- |
Statistical Quality Control (STAT) |
----- |
Combinatorial Optimization (DET) |
----- |
Time Series Analysis (STAT) |
----- |
APPLIED MATHEMATICS MODULE
TITLE |
PREREQUISITES |
Discrete Mathematics (INF) |
----- |
Numerical Methods in Statistics (STAT) |
----- |
Introduction to Operations Research (STAT) |
----- |
Introduction to Mathematical Analysis (STAT) |
------ |
Mathematical Methods (STAT) |
----- |
Stochastic Procedures ΙΙ (STAT) |
----- |
Introduction to Measurement Theory with regard to Probability and Statistics (STAT) |
----- |
Probability Theory (STAT) |
----- |
Topics in Discrete Mathematics (INF) |
Discrete Mathematics (INF) |
Information Theory (INF) |
Probabilities Ι (STAT) or Probabilities ΙΙ (STAT) |
Combinatorial Optimization (DET) |
----- |
Applied Numerical Algebra (old title: Applied Numerical Analysis) (INF) |
Calculus ΙΙ (STAT) and Computational Mathematics (INF) or Numerical Methods in Statistics |