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

8

3745

Machine Learning (INF)

P

7th

6

3743

Applied Data Science (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)

Applied Data Science (INF) (old title: Data Mining 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