Danis Evangelos
  • +30 2310 891.801
  • danis uom.edu.gr

    Danis Evangelos

    Laboratory Teaching Personnel
    Department of Balkan, Slavic & Oriental Studies


    Curriculum Vitae
    Academic Titles
    • 02/2001–02/2003 MSc in Information Systems (MIS) EQF level 7 / University of Macedonia, Thessaloniki (Greece)
    • 10/1996–09/2000 BSc in Business Administration EQF level 6 / University of Macedonia, Thessaloniki (Greece)

    Teaching


    • INFORMATION, TECHNOLOGY AND SOCIETY
      (ΒΣΑ406-ΙΙ)

    Type
    ELECTIVE

    Department Abbreviation
    BSO

    Department
    DEPARTMENT OF BALKAN, SLAVIC AND ORIENTAL STUDIES

    Course Outlines

    COURSE OUTLINE

    (1) GENERAL

    SCHOOL

    ECONOMIC AND REGIONAL STUDIES

    ACADEMIC UNIT

    BALKAN, SLAVIC AND ORIENTAL STUDIES

    LEVEL OF STUDIES

    UNDERGRADUATE

    COURSE CODE

    ΒΣΑ406-ΙΙ

    SEMESTER

    C

    COURSE TITLE

    INFORMATION TECHNOLOGY AND SOCIETY

    INDEPENDENT TEACHING ACTIVITIES
    if credits are awarded for separate components of the course, e.g. lectures, laboratory exercises, etc. If the credits are awarded for the whole of the course, give the weekly teaching hours and the total credits

    WEEKLY TEACHING HOURS

    CREDITS

    Lectures and laboratory exercises

    4

    6

     

     

     

     

     

     

    Add rows if necessary. The organisation of teaching and the teaching methods used are described in detail at (d).

     

     

    COURSE TYPE

    general background,
    special background, specialised general knowledge, skills development

    Background, general knowledge and skills development

    PREREQUISITE COURSES:

     

    No

    LANGUAGE OF INSTRUCTION and EXAMINATIONS:

    Greek

    IS THE COURSE OFFERED TO ERASMUS STUDENTS

    No

    COURSE WEBSITE (URL)

    https://openeclass.uom.gr/courses/BSO146/

               

    (2) LEARNING OUTCOMES

    Learning outcomes

    The course learning outcomes, specific knowledge, skills and competences of an appropriate level, which the students will acquire with the successful completion of the course are described.

    Consult Appendix A

    • Description of the level of learning outcomes for each qualifications cycle, according to the Qualifications Framework of the European Higher Education Area
    • Descriptors for Levels 6, 7 & 8 of the European Qualifications Framework for Lifelong Learning and Appendix B
    • Guidelines for writing Learning Outcomes

    The aim of the course is to develop basic skills and abilities for the use of computer systems and their applications as the main tools for data processing today.

     

    Upon successful completion of the course, students are expected to be able to:

    • Describe the role and importance of Information Technology (IT) in the social sciences and humanities

    • Know the organization and operation of computer systems, the Internet and the World Wide Web

    • Know the social and economic impact of IT in everyday life

    • Search and evaluate information as well as scientific literature on the World Wide Web

    • Implement applications for processing of quantitative and qualitative data by using computer tools to solve problems

    • Compose, format and present a scientific paper using standalone or collaborative software tools

    • Implement modern multimedia content presentation or storytelling applications using codeless tools for economics, education and culture

     

     

    General Competences

    Taking into consideration the general competences that the degree-holder must acquire (as these appear in the Diploma Supplement and appear below), at which of the following does the course aim?

    Search for, analysis and synthesis of data and information, with the use of the necessary technology

    Adapting to new situations

    Decision-making

    Working independently

    Team work

    Working in an international environment

    Working in an interdisciplinary environment

    Production of new research ideas

    Project planning and management

    Respect for difference and multiculturalism

    Respect for the natural environment

    Showing social, professional and ethical responsibility and sensitivity to gender issues

    Criticism and self-criticism

    Production of free, creative and inductive thinking

    ……

    Others…

    …….

    Search for, analysis and synthesis of data and information, with the use of the necessary technology

    Adapting to new situations

    Decision-making

    Working independently

    Team work

    Criticism and self-criticism

    Production of free, creative and inductive thinking

    (3) SYLLABUS

    The course "Information Technology and Society" consists of two sections. The first section covers the basic principles of computer science and technology, computer applications in economics, social sciences and humanities as well as ethical and social issues from the use of information technology. The second section includes practical activities for searching, collecting, evaluating, storing, processing, communicating, and sharing information using either MS-Office tools or Google web applications (such as Google Search, Google Drive, Google Sheets, Google Forms and Google Sites) with the aim of implementing digital scientific work. Finally, methodologies for developing multimedia content or digital storytelling applications for economics, education and culture are presented.

     

    (4) TEACHING and LEARNING METHODS - EVALUATION

    DELIVERY
    Face-to-face, Distance learning, etc.

    Face-to-face or distance learning

    USE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
    Use of ICT in teaching, laboratory education, communication with students

    Slides and notes to support lectures

     

    Use of software (MS-Office and Google apps) for practical activities

     

    Use of the E-Learning platform Open eClass in order to:

    • Organize the course material (slides, notes, examples, etc)
    • Perform weekly online quizzes to evaluate the understanding of the related course material
    • Hand in homeworks
    • Communicate with the students and the class

     

    Open courses and open educational material

    TEACHING METHODS

    The manner and methods of teaching are described in detail.

    Lectures, seminars, laboratory practice, fieldwork, study and analysis of bibliography, tutorials, placements, clinical practice, art workshop, interactive teaching, educational visits, project, essay writing, artistic creativity, etc.

     

    The student's study hours for each learning activity are given as well as the hours of non-directed study according to the principles of the ECTS

    Activity

    Semester workload

    Lectures

    52

    Laboratory practice

    26

    Project

    72

     

     

     

     

     

     

     

     

     

     

     

     

    Course total

    150

     

    STUDENT PERFORMANCE EVALUATION

    Description of the evaluation procedure

     

    Language of evaluation, methods of evaluation, summative or conclusive, multiple choice questionnaires, short-answer questions, open-ended questions, problem solving, written work, essay/report, oral examination, public presentation, laboratory work, clinical examination of patient, art interpretation, other

     

    Specifically-defined evaluation criteria are given, and if and where they are accessible to students.

    The evaluation of students is done conclusively through written exams and assignments. The written examinations take place at the end of the semester during the examination period. The written final exam (50%) includes multiple choice questions and short answers. The work (50%) is carried out in the middle of the semester and it includes the implementation of applications using computer tools for data processing. Finally, the evaluation criteria are available to students at Open eClass.

    (5) ATTACHED BIBLIOGRAPHY

    - Suggested bibliography:

    • Glava, M. (2021) Introduction to Computers and Informatics, Dissigma Publications (in Greek)

    • O’Leary, T. (2021) Basic Principles in Informatics, Broken Hill Publishers Ltd (in Greek)

    • Evans, A., K. Martin, and M.A. Poatsy (2014) Introduction to Informatics, 1st edition, Kritiki (in Greek)

    • Forouzan, B. (2015) Introduction to Computer Science, 3rd edition, Klidarithmos (in Greek)

    • Brookshear, J.B. (2009) Computer Science: An Overview, 10th Edition, Klidarithmos (in Greek)

     

    - Related academic journals:

     

     

    • INTRODUCTION TO ECONOMERTY
      (ΒΣΑ413-ΙΙ)

    Type
    ELECTIVE

    Department Abbreviation
    BSO

    Department
    DEPARTMENT OF BALKAN, SLAVIC AND ORIENTAL STUDIES

    Course Outlines

    Η περιγραφή του μαθήματος δεν είναι διαθέσιμη

    • MICROECONOMICS
      (ΒΣΑ407-ΙΙ)

    Type
    ELECTIVE

    Department Abbreviation
    BSO

    Department
    DEPARTMENT OF BALKAN, SLAVIC AND ORIENTAL STUDIES

    Course Outlines

    Η περιγραφή του μαθήματος δεν είναι διαθέσιμη

    • PRINCIPLES OF ECONOMICS
      (ΒΣΑ401-ΙΙ)

    Type
    COMPULSORY

    Department Abbreviation
    BSO

    Department
    DEPARTMENT OF BALKAN, SLAVIC AND ORIENTAL STUDIES

    Course Outlines

    COURSE OUTLINE

    (1) GENERAL

    SCHOOL

    ECONOMIC AND REGIONAL STUDIES

    ACADEMIC UNIT

    DEPARTMENT OF BALKAN, SLAVIC AND ORIENTAL STUDIES

    LEVEL OF STUDIES

    UNDERGRADUATE

    COURSE CODE

    ΒΣΑ401-ΙΙ

    SEMESTER

    Α

    COURSE TITLE

    PRINCIPLES OF ECONOMICS

    INDEPENDENT TEACHING ACTIVITIES
    if credits are awarded for separate components of the course, e.g. lectures, laboratory exercises, etc. If the credits are awarded for the whole of the course, give the weekly teaching hours and the total credits

    WEEKLY TEACHING HOURS

    CREDITS

    LECTURES

    2

     

    TUTORIALS

    2

     

    TOTAL

    4

    6

    Add rows if necessary. The organisation of teaching and the teaching methods used are described in detail at (d).

     

     

    COURSE TYPE

    general background,
    special background, specialised general knowledge, skills development

    GENERAL BACKGROUND

    PREREQUISITE COURSES:

     

    NONE

    LANGUAGE OF INSTRUCTION and EXAMINATIONS:

    GREEK

    IS THE COURSE OFFERED TO ERASMUS STUDENTS

    NO

    COURSE WEBSITE (URL)

    https://openeclass.uom.gr/modules/course_home/editdesc.php?course=BSO131

               

    (2) LEARNING OUTCOMES

    Learning outcomes

    The course learning outcomes, specific knowledge, skills and competences of an appropriate level, which the students will acquire with the successful completion of the course are described.

    Consult Appendix A

    • Description of the level of learning outcomes for each qualifications cycle, according to the Qualifications Framework of the European Higher Education Area
    • Descriptors for Levels 6, 7 & 8 of the European Qualifications Framework for Lifelong Learning and Appendix B
    • Guidelines for writing Learning Outcomes

    This is an introductory course, which teaches the basic principles of economics.

    We study the principles that help understand and clarify the complex choices that households, firms, and society make in pursuit of individual well-being and the greater common good. We explain and analyze the role of markets, government, and other institutions. We critically examine the role of government policies in implementing social welfare at the micro- and macro-economic levels.

    We learn the tools and methodologies economists use as social scientists to arrive at economic heories. Case studies and references to real-world economics and policy, primarily from the areas the epartment treats, connect theory with practical application.

    The purpose of the course is to develop a series of skills, by teaching tools that allow a better understanding of the problems in today's economic and social environment. At the same time, the  course provides a solid foundation for economic analysis and thinking, useful throughout the studies and subsequent professional career. For some, it can be a foundation for many years of study in

     Finance, Business Administration, and other related fields.

    Upon successful completion of the course, students have learned how to maintain constant contact with the educational environment, have acquired skills such as communication, teamwork, adaptability, conflict resolution, flexibility, leadership ability, and analytical problem/exercise solving skills.

     

    General Competences

    Taking into consideration the general competences that the degree-holder must acquire (as these appear in the Diploma Supplement and appear below), at which of the following does the course aim?

    Search for, analysis and synthesis of data and information, with the use of the necessary technology

    Adapting to new situations

    Decision-making

    Working independently

    Team work

    Working in an international environment

    Working in an interdisciplinary environment

    Production of new research ideas

    Project planning and management

    Respect for difference and multiculturalism

    Respect for the natural environment

    Showing social, professional and ethical responsibility and sensitivity to gender issues

    Criticism and self-criticism

    Production of free, creative and inductive thinking

    ……

    Others…

    …….

     

     

    Search for, analysis and synthesis of data and information, with the use of the necessary

     technology

    Team work

    Working in an interdisciplinary environment

    Showing social, professional, and ethical responsibility and sensitivity to gender issues

    Criticism and self-criticism

    Production of free, creative, and inductive thinking

    (3) SYLLABUS

    The course is an introduction to the two branches of Economics, 
    Microeconomics and Macroeconomics. In the first part, we deal with Microeconomics, 
    that is, the branch that studies how households and firms make decisions, as well as 
    how they interact in markets. In the second part, we deal with Macroeconomics, 
    the branch that studies the phenomena of the economy, including topics 
    like inflation, unemployment, and economic growth and development.
    SUBJECTS TO BE COVERED
    Week 1: AIM AND OBJECTIVES 
    Lecture: Economics - what it studies and why.
    Week 2: INTRODUCTION TO ECONOMICS AND METHODOLOGY
    Lecture: Economic science and its tools.
    Tutorial: Problems and applications
    Mankiw & Taylor (MT), chs 1, 2, 19 (pp 429-434).
    Begg, Vernasca, Fischer & Dornbusch (BVFD), chs 1, 2.
    Krugman & Wells (KW), Part 1: Sections 1, 2, 3
    PART I: MICROECONOMICS
    Week 3: The operation of markets
    Lecture: Demand and supply.
    Tutorial: Problems and applications
    Mankiw & Taylor (MT), ch. 3.
    Begg, Vernasca, Fischer & Dornbusch (BVFD), ch. 3.
    Krugman & Wells (KW), Part 2: Sections 5, 6, 7 & Part 5: Section 13.
    Week 4: The operation of markets
    Lecture: Elasticity and its applications.
    Tutorial: Problems and applications
    Mankiw & Taylor (MT), ch. 4.
    Begg, Vernasca, Fischer & Dornbusch (BVFD), ch. 4.
    Krugman & Wells (KW), Part 3: Sections 8, 9, 10.
    Week 5: The operation of markets
    Lecture: Consumer behavior – Consumer choices and demand.
    Key findings on consumer behavior inspired by Behavioral Economics.
    Tutorial: Problems and applications
    Mankiw & Taylor (MT), chs 5, 12.
    Begg, Vernasca, Fischer & Dornbusch (BVFD), ch. 5.
    Krugman & Wells (KW), Part 7: Sections 18, 19, 20.
    Week 6: The operation of markets
    Lecture: The behavior of the firm. Cost and production in the short and long run.
    Tutorial: Problems and applications
    Mankiw & Taylor (MT), ch. 6.
    Begg, Vernasca, Fischer & Dornbusch (BVFD), chs 7, 8.
    Krugman & Wells (KW), Part 8: Sections 21, 22, 23.

    Week 7: Firm behavior and market structures

    Lecture: Perfect competition.

    Tutorial: Problems and applications

    Mankiw & Taylor (MT), ch. 6.

    Begg, Vernasca, Fischer & Dornbusch (BVFD), ch. 9.

    Krugman & Wells (KW), Part 9: Sections 24, 25, 26, 27.

    Week 8: Monopoly & Market Efficiency and Social Welfare

    Lecture: Monopoly. Consumers, producers, and market efficiency.

    Tutorial: Problems and applications

    Mankiw & Taylor (MT), chs 7, 8, 14.

    Begg, Vernasca, Fischer & Dornbusch (BVFD), chs 9, 14.

    Krugman & Wells (KW), Part 4: Sections 11, 12 & Part 10: Sections 28, 29.

    PART II: MACROECONOMICS
    Week 9: The real economy
    Lecture: Measuring national welfare. International comparisons and differences. 
    Components of aggregate demand.
    Tutorial: Problems and applications
    Mankiw & Taylor (MT), chs 20, 21.
    Begg, Vernasca, Fischer & Dornbusch (BVFD), chs 17, 19.
    Krugman & Wells (KW), Part 15: Sections 45, 46, 47, 48.
    Week 10: The real economy
    Lecture: Economic growth.
    Tutorial: Problems and applications
    Mankiw & Taylor (MT), ch. 22.
    Begg, Vernasca, Fischer & Dornbusch (BVFD), ch. 18.
    Krugman & Wells (KW), Part 17: Sections 53, 54, 55.
    Week 11: The real economy
    Lecture: Unemployment and Inflation.
    Tutorial: Problems and applications
    Mankiw & Taylor (MT), chs 21, 23, 28.
    Begg, Vernasca, Fischer & Dornbusch (BVFD), chs 24, 25, 26.
    Krugman & Wells (KW), Part 16: Sections 49, 50, 51, 52.
    Week 12: Short-term economic fluctuations
    Lecture: Keynesian economic theory.
    Tutorial: Problems and applications
    Mankiw & Taylor (MT), ch. 32 (not the IS-LM model).
    Begg, Vernasca, Fischer & Dornbusch (BVFD), ch. 19.
    Krugman & Wells (KW), Part 19: Sections 60, 61, 62.
    Week 13: Short-term economic fluctuations
    Lecture: Aggregate Demand and Aggregate Supply.
    Tutorial: Problems and applications
    Mankiw & Taylor (MT), ch. 33.
    Begg, Vernasca, Fischer & Dornbusch (BVFD), ch. 24.
    Krugman & Wells (KW), Part 20: Sections 63, 64, 65.

    (4) TEACHING and LEARNING METHODS - EVALUATION

    DELIVERY
    Face-to-face, Distance learning, etc.

    Face-to-face.

    Each week, 2 hours of lectures and 2 hours of
     interactive learning:
    • Check understanding of the material
    o multiple choice questions
    o simple exercises
    • Discussion of current economic issues
     
    Topics covered, assignments, problems/exercises, 
    and anything else related to the course are posted in 
    the course folder each week before the lecture
     and tutorial, so students have time to prepare.

    USE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
    Use of ICT in teaching, laboratory education, communication with students

    USE OF ICT IN LECTURES, TUTORIALS, ESSAY

    PRESENTATION, COMMUNICATION WITH STUDENTS

     

    TEACHING METHODS

    The manner and methods of teaching are described in detail.

    Lectures, seminars, laboratory practice, fieldwork, study and analysis of bibliography, tutorials, placements, clinical practice, art workshop, interactive teaching, educational visits, project, essay writing, artistic creativity, etc.

     

    The student's study hours for each learning activity are given as well as the hours of non-directed study according to the principles of the ECTS

    Activity

    Semester workload

    LECTURES

    26

    TUTORIALS

    26

    PREPARATION FOR TUTORIAL EXERCISES

    13

    WRITING ESSAY &TEAM PREPARATION FOR ITS PRESENTATION

    30

    INDEPENDENT STUDY OF COURSE MATERIAL

    55

     

     

    Course total

    150

     

    STUDENT PERFORMANCE EVALUATION

    Description of the evaluation procedure

     

    Language of evaluation, methods of evaluation, summative or conclusive, multiple choice questionnaires, short-answer questions, open-ended questions, problem solving, written work, essay/report, oral examination, public presentation, laboratory work, clinical examination of patient, art interpretation, other

     

    Specifically-defined evaluation criteria are given, and if and where they are accessible to students.

     

    ·         FINAL EXAM
    ·         OPTIONAL CLASS TESTS (2 tests with multiple choice questions) 
    bonus 20% of the average mark added to the final grade
    ·         OPTIONAL TEAM WORK – ESSAY PRESENTATION    
     on a topical issue of students’ choice
    bonus 20% of essay/presentation mark, added to final grade
     
    THE ASSESSMENT METHOD IS PRESENTED AND EXPLAINED THE COURSE
    WEBSITE (as well as all other
    information on the course and its progression)

     (5) ATTACHED BIBLIOGRAPHY

     

    - Suggested bibliography:

    Alternative textbooks:

    Οικονομική, MankiwN. G., TaylorP. M., Εκδόσεις Τζιόλα, 2021. [94689228]

    Εισαγωγή στην Οικονομική BeggD., VernascaG., FisherS., DornbuschR., Εκδόσεις Κριτική, 2023. [122075454]

    Οικονομική σε διδακτικές ενότητες KrugmanP. &WellsR. Εκδόσεις Gutenberg Γ. Δαρδανός - Κ. Δαρδανός Ο.Ε., 2018. [77112350]

     

    - Related academic journals:

     

    Various journals are recommended (in Greek and English) depending on the essay topics.

     

     


    • QUANTITATIVE METHODS OF SOCIAL SCIENCES - MATHEMATICS
      (ΒΣΑ405-ΙΙ)

    Type
    ELECTIVE

    Department Abbreviation
    BSO

    Department
    DEPARTMENT OF BALKAN, SLAVIC AND ORIENTAL STUDIES

    Course Outlines

    Η περιγραφή του μαθήματος δεν είναι διαθέσιμη

    • QUANTITATIVE METHODS OF SOCIAL SCIENCES - STATISTICS
      (ΒΣΑ410-ΙΙ)

    Type
    ELECTIVE

    Department Abbreviation
    BSO

    Department
    DEPARTMENT OF BALKAN, SLAVIC AND ORIENTAL STUDIES

    Course Outlines

    COURSE OUTLINE

    (1)    GENERAL

    SCHOOL

    ECONOMIC AND REGIONAL STUDIES

    ACADEMIC UNIT

    BALKAN, SLAVIC AND ORIENTAL STUDIES

    LEVEL OF STUDIES

    UNDERGRADUATE

    COURSE CODE

    ΒΣΑ410-ΙΙ

    SEMESTER

    D

    COURSE TITLE

    QUANTITATIVE METHODS SOCIAL SCIENCES - STATISTICS

    INDEPENDENT TEACHING ACTIVITIES
    if credits are awarded for separate components of the course, e.g. lectures, laboratory exercises, etc. If the credits are awarded for the whole of the course, give the weekly teaching hours and the total credits

    WEEKLY TEACHING HOURS

    CREDITS

    Lectures and laboratory exercises

    4

    6

     

     

     

     

     

     

    Add rows if necessary. The organisation of teaching and the teaching methods used are described in detail at (d).

     

     

    COURSE TYPE

    general background,
    special background, specialised general knowledge, skills development

    General Background

    PREREQUISITE COURSES:

     

    No

    LANGUAGE OF INSTRUCTION and EXAMINATIONS:

    Greek

    IS THE COURSE OFFERED TO ERASMUS STUDENTS

    No

    COURSE WEBSITE (URL)

    https://openeclass.uom.gr/courses/BSO103/

               

    (2)    LEARNING OUTCOMES

    Learning outcomes

    The course learning outcomes, specific knowledge, skills and competences of an appropriate level, which the students will acquire with the successful completion of the course are described.

    Consult Appendix A

    • Description of the level of learning outcomes for each qualifications cycle, according to the Qualifications Framework of the European Higher Education Area
    • Descriptors for Levels 6, 7 & 8 of the European Qualifications Framework for Lifelong Learning and Appendix B
    • Guidelines for writing Learning Outcomes

    The main purpose of the course is to familiarize students with the statistical analysis of data, the art of examining, summarizing and drawing conclusions from data. Specifically, the student, after understanding the basic principles of statistics in the field of economics and social sciences, can:

    • describe and organize the data collected using descriptive statistical techniques

    • handles probabilities and random variables effectively

    • solves inferential statistics problems

    • performs statistical analysis and analysis of data using one of the most popular statistical software packages (MS-Excel, SPSS, Stata, R) on PC

     

    General Competences

    Taking into consideration the general competences that the degree-holder must acquire (as these appear in the Diploma Supplement and appear below), at which of the following does the course aim?

    Search for, analysis and synthesis of data and information, with the use of the necessary technology

    Adapting to new situations

    Decision-making

    Working independently

    Team work

    Working in an international environment

    Working in an interdisciplinary environment

    Production of new research ideas

    Project planning and management

    Respect for difference and multiculturalism

    Respect for the natural environment

    Showing social, professional and ethical responsibility and sensitivity to gender issues

    Criticism and self-criticism

    Production of free, creative and inductive thinking

    ……

    Others…

    …….

    Search for, analysis and synthesis of data and information, with the use of the necessary technology

    Decision-making

    Working independently

    Production of free, creative and inductive thinking

    (3)    SYLLABUS

    The aim of the course is the introduction to the field of Statistics and its connection with the Economic and Social Sciences. The course deals with issues related to a) sampling and data production, b) descriptive statistics, c) probability theory and d) inferential statistics. The purpose of sampling and data production is to select a representative sample from the population and collect data from the sample. Descriptive statistics aims to summarize the main data properties in a sample, using graphical and numerical methods. inferential statistics aims to draw conclusions about the behavior of a population from a sample of data with the help of probability theory. Application of statistical analysis using software.

     

    (4)    TEACHING and LEARNING METHODS - EVALUATION

    DELIVERY
    Face-to-face, Distance learning, etc.

    Face-to-face or distance learning

    USE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
    Use of ICT in teaching, laboratory education, communication with students

    Slides and notes to support lectures

     

    Use of statistical software (Excel or STATA) for data analysis

     

    Use of the E-Learning platform Open eClass in order to:

    • Organize the course material (slides, notes, examples, etc)
    • Perform weekly online quizzes to evaluate the understanding of the related course material
    • Hand in homeworks
    • Communicate with the students and the class

     

    Open courses and open educational material

    TEACHING METHODS

    The manner and methods of teaching are described in detail.

    Lectures, seminars, laboratory practice, fieldwork, study and analysis of bibliography, tutorials, placements, clinical practice, art workshop, interactive teaching, educational visits, project, essay writing, artistic creativity, etc.

     

    The student's study hours for each learning activity are given as well as the hours of non-directed study according to the principles of the ECTS

     

    Activity

    Semester workload

    Lectures

    52

    Laboratory practice

    26

    Tutorials

    26

    Project

    46

     

     

     

     

     

     

     

     

     

     

    Course total

    150

     

    STUDENT PERFORMANCE EVALUATION

    Description of the evaluation procedure

     

    Language of evaluation, methods of evaluation, summative or conclusive, multiple choice questionnaires, short-answer questions, open-ended questions, problem solving, written work, essay/report, oral examination, public presentation, laboratory work, clinical examination of patient, art interpretation, other

     

    Specifically-defined evaluation criteria are given, and if and where they are accessible to students.

    The evaluation of students is done conclusively through written exams and midterm exam. The written examinations take place at the end of the semester during the examination period. The written final exam (70%) includes multiple choice questions and short answers. The midterm exam (30%) is carried out in the middle of the semester and it includes data analysis questions using statistical software on PC. Finally, the evaluation criteria are available to students at Open eClass.

    (5)    ATTACHED BIBLIOGRAPHY

    - Suggested bibliography:

    • Ioannidis, D. and Michailidis, P. (2021) Quantitative Methods in Social-Economic Sciences, Tziolas Publications, 2021 (in Greek).

    • Agresti A (2021), Statistical Methods for the Social Sciences, 5th edition, Tziolas Publications, 2021 (in Greek).

    • Moore, D.S. and McCabe, G.P. (2014) Introduction to the Practice of Statistics, 8th Edition, W.H. Freeman.

     

    - Related academic journals:

    • Computational Statistics & Data Analysis

    • Statistics and Probability Letters

    • Journal of Applied Statistics

     

    • TOPICS IN COMPUTER SCIENCE
      (ΒΣ0826)

    Type
    ELECTIVE

    Department Abbreviation
    BSO

    Department
    DEPARTMENT OF BALKAN, SLAVIC AND ORIENTAL STUDIES

    Course Outlines

    The course offers an introduction to the basic principles of database design and implementation, as well as data mining applications. Specifically, the course covers the analysis of requirements according to the needs of a small business unit, the Entity and Relationship diagrams, its implementation in relational tables and finally the design and implementation of tables, queries, forms and reports with the help of MS-Access. The course also covers basic principles, methods and applications of data mining from large data sets.

    Publications


    Wheelchair Blue
    Accessibility Tools
    Fonts PlusIncrease Text
    Fonts MinusDecrease Text
    ContrastHigh Contrast
    GrayscaleGrayscale
    Readable FontReadable Font