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

TITLE

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