COURSE GUIDE
 

 

 

 

 

 

IN GENERAL

  1. The undergraduate program of studies of the Department of Statistics has a similar structure to the programs of other European Universities, especially those with which the Department of Statistics has bilateral co-operation agreements. The program is based on the European Credit Transfer System (ECTS ). Every course has been assigned a specific number of credits as shown in the analytical Program of Studies.

  2. To determine each courses ECTS, overall requirements are taken into account (lectures, assignments, required preparation etc).

  3. To obtain a bachelor's degree, students must earn a total of 240 ECTS credits.

  4. All program courses are assigned with 8 ECTS credits and 4 teaching hours weekly.

  5. There are 14 compulsory courses.

 

COURSES CATEGORIES

Courses are divided into 2 basic categories:

1.       14 Compulsory courses

2.       Optional courses which are either

a.       Offered by the Statistics Department

b.      Offered by other Departments

Compulsory courses are offered during the 6 first semester (8 in the first year, 4 in the second year and 2 in the third).

During the last 2 semesters, no optional courses are offered.

During the first two semesters, students can enroll in courses whose corresponding ECTS’s do not exceed 32 per semester.

During the remaining semesters, students can enroll in courses whose corresponding ECTS’s do not exceed 40 per semester.

During the final two semesters, students can exceed the 40 ECTS’s per semester only for “Practical Projects”.

After the fourth year, students can enroll in courses whose corresponding ECTS’s do not exceed 48 per semester.

When choosing courses to enroll in each semester, compulsory courses from previous semesters that are not successfully completed by the student, and are offered in the specific semester, must precede all others.  

Besides the 14 compulsory courses corresponding to 112 ECTS’s, to complete the remaining required ECTS’s, a student must obtain at least 72 ECTS’s coming from optional courses offered by the Department. The remaining 56 ECTS’s required for graduation can come either from the Statistics Department offered courses either from other University Departments.

A course table is announced each academic year, and is depending on the courses offered and lecturer’s availability. Some optional courses might not be offered if there is not an available lecturer.

When graduating, a student is able to obtain a certified statement of PC knowledge, equivalent to the ECDL.

Students have the opportunity to attend courses to a corresponding section in a University abroad, through the ERASMUS + program.

 

 

STRUCTURE OF THE NEW PROGRAM

A’ Semester

B Semester

·   Probability I (C)

·   Calculus I (C)

·   Linear Algebra I (C) 

·   Introduction to Programming using R (C)

·   Probability II (C)

·   Calculus II (C)

·   Linear Algebra II (C)

·   Introduction to Probability and Statistics using R (C)

C’ Semester

D Semester

·   Estimation and Hypothesis Testing (C)

·   Stochastic Processes  I (C)

·   Introduction to Mathematical Analysis

·   Statistical Demography

·   Introduction to Economics

·   Introduction to Accounting Information Systems

·   Linear Models (C)

·   Time Series Analysis (C)

·   Sampling

·   Mathematical Methods

·   Actuarial Science I

·   Numerical  Methods in Statistics*

E’ Semester

F’ Semester

·   Generalized Linear Models (C)

·   Bayesian Statistics

·   Statistical Quality Control

·   Econometrics

·   Theoretical Statistics

·   Data Analysis (C)

·   Simulation

·   Multivariate Statistical Analysis

·   Non Parametric Statistics

·   Biostatistics I

G’ Semester

H’ Semester

·   Applied Linear Models

·   Probability Theory

·   Statistical Learning

·   Biostatistics II

·   Introduction to Operations Research

·   Stochastic Processes II

·   Actuarial Science II

·   Research Methodology*

·   Special Topics in Probability and Statistics

·   Bachelor Dissertation

·   Practical Training

·   Categorical Data Analysis

·   Advanced Sampling Methods

·   Statistical Methods for the Environment and Ecology

·   Official Statistics

·   Statistics (Erasmus Course)*

·   Advanced Bayesian Methods *

·   Special Topics in Probability and Statistics

·   Bachelor Thesis

·   Practical Training 

 

* The lesson is not offered during the 2015-16 Academic Year

Note: Regarding students enrolled 2008-2009 and before, the previous course guide is applied, according to which they must complete 240 ECTS's, from 11 compulsory courses and 72 ECTS's from optional courses with statistical context.

Transitional provisions for previous years students are here (in Greek).

 

 

 


 COMPULSORY COURSES

 

FIRST SEMESTER

PROBABILITY I (C)

CALCULUS I (C)

LINEAR ALGEBRA I (C)

INTRODUCTION TO PROGRAMMING USING R (C)

 

SECOND SEMESTER

PROBABILITY II (C)

CALCULUS II  (C)

LINEAR ALGEBRA II (C)

INTRODUCTION TO PROBABILITY AND STATISTICS USING R (C)

 

THIRD SEMESTER

ESTIMATION AND HYPOTHESIS TESTING (C)

STOCHASTIC PROCESSES I (C)

INTRODUCTION TO MATHEMATICAL ANALYSIS

STATISTICAL DEMOGRAPHY

INTRODUCTION TO ECONOMICS

INTRODUCTION TO ACCOUNTING INFORMATION SYSTEMS

 

FOURTH SEMESTER

LINEAR MODELS (C)

TIME SERIES ANALYSIS (C)

SAMPLING

MATHEMATICAL METHODS

ACTUARIAL SCIENCE I

NUMERICAL METHODS IN STATISTICS (NOT OFFERED IN THE ACADEMIC YEAR 2015 - 16)

 

FIFTH SEMESTER

GENERALIZED LINEAR MODELS (C)

BAYESIAN STATISTICS

STATISTICAL QUALITY CONTROL

ECONOMETRICS

THEORETICAL STATISTICS

 

SIXTH SEMESTER

DATA ANALYSIS (C)

SIMULATION

MULTIVARIATE STATISTICAL ANALYSIS

NON PARAMETRIC STATISTICS

BIOSTATISTICS I

 

SEVENTH SEMESTER

APPLIED LINEAR MODELS

PROBABILITY THEORY

STATISTICAL LEARNING

BIOSTATISTICS II

INTRODUCTION TO OPERATIONS RESEARCH

STOCHASTIC PROCESSES II

ACTUARIAL SCIENCE II

RESEARCH METHODOLOGY (NOT OFFERED IN THE ACADEMIC YEAR 2015 - 16)

SPECIAL TOPICS IN PROBABILITY AND STATISTICS

BACHELOR DISSERTATION

PRACTICAL TRAINING

 

EIGHTH SEMESTER

CATEGORICAL DATA ANALYSIS

ADVANCED SAMPLING METHODS

STATISTICAL METHODS FOR THE ENVIRONMENT AND ECOLOGY

OFFICIAL STATISTICS

STATISTICS (ERASMUS COURSE - NOT OFFERED IN THE ACADEMIC YEAR 2015 - 16)

ADVANCED BAYESIAN METHODS (NOT OFFERED IN THE ACADEMIC YEAR 2015 - 16)

SPECIAL TOPICS IN PROBABILITY AND STATISTICS

BACHELOR THESIS

PRACTICAL TRAINING

 


COURSES OFFERED BY OTHER DEPARTMENTS AVAILABLE IN THE ACADEMIC YEAR 2015 - 2016

 

WINTER SEMESTER 2015 - 2016

OPTIONAL COURSES OFFERED FROM OTHER DEPARTMENTS

ΕΜ

GENERAL ECONOMIC HISTORY

6

PRINCIPALS OF SOCIOLOGY

6

MACROECONOMIC THEORY I

6

MICROECONOMIC THEORY I

6

PUBLIC FINANCE I

6

COST ACCOUNTING

6

TEACHER TRAINING INTERNSHIP I

6

INTRODUCTION TO METHODOLOGY OF TEACHING - ANALYTICAL PROGRAMMS

6

ORGANIZATION AND MANAGEMENT OF EDUCATION AND EDUCATIONAL  INSTITUTIONS

6

INTRODUCTION TO PEDAGOGY

6

EDUCATIONAL EVALUATION

6

DISCRETE MATHEMATICS

6

COMPUTATIONAL MATHEMATICS

6

COMPUTER PROGRAMMING WITH C++

6

ARTIFICIAL INTELLIGENCE

6

SOFTWARE ANALYSIS AND DESIGN

6

COMMUNICATION NETWORKS

6

 SPECIAL TOPICS IN DISCRETE MATHEMATICS

6

 ADVANCED PROBABILITIES AND SIMULATION

6

INFORMATION RETRIEVAL SYSTEMS

6

DATA MINING FROM LARGE DATABASES AND THE WWW

6

FINANCIAL LAW

6

PORTFOLIO MANAGEMENT

6

INTRODUCTION TO BUSINESS ADMINISTRATION

6

MEDIA AND MEDIA NETWORKING

6

INTRODUCTION TO ELECTRONIC LOGISTICS AND FINANCE

6

INTRODUCTION TO MARKETING

6

DATABASES

 6

OPTIMIZATION METHODS IN ADMINISTRATIVE SCIENCE

 6

BUSINESS INTELLIGENCE AND LARGE DATA ANALYSIS

 6

COMBINATIONAL OPTIMIZATION

6

ENTREPRENEURSHIP

6

 

SPRING SEMESTER 2015 - 2016

OPTIONAL COURSES OFFERED FROM OTHER DEPARTMENTS

ΕΜ

MICROECONOMIC THEORY II

6

MACROECONOMIC THEORY II

6

ADVANCED FINANCIAL ACCOUNTING

6

FINANCIAL MANAGEMENT I

6

OPERATIONAL POLICY AND STRATEGY

6

INVESTMENT MANAGEMENT

6

TEACHER TRAINING INTERNSHIP II

6

GENERAL AND EVOLUTIONARY PSYCHOLOGY

6

QUALITY IN EDUCATION AND TEACHING

6

INTRODUCTION TO COMPUTERS - EDUCATIONAL APPLICATIONS

6

SPECIAL EDUCATION METHODOLOGY  - COURSES IN SPECIALTY TEACHING

6

ALGORITHMS

6

 

3

ADVANCED ARITHMETICAL ANALYSIS

6

DATABASE DESIGN

6

COMPUTER NETWORKS

6

GAME THEORY

6

MACHINE LEARNING

6

INFORMATION THEORY

 6

INTRODUCTION TO POLITICAL SCIENCE AND INTERNATIONAL RELATIONS

6

HUMAN RESOURCES MANAGEMENT

6

ELECTRONIC MARKETING

6

STRATEGIC MARKETING

6

MARKETING RESEARCH

6

ADVERTISING

6

RISK MANAGEMENT

6

PROGRAMMING I

6

SUPPLY CHAIN MANAGEMENT

6

PRODUCTION AND OPERATIONS MANAGEMENT

TOPICS IN OPERATIONAL RESEARCH AND DECISION SYSTEMS

6