- +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 |
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ACADEMIC UNIT |
BALKAN, SLAVIC AND ORIENTAL STUDIES |
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LEVEL OF STUDIES |
UNDERGRADUATE |
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COURSE CODE |
ΒΣΑ406-ΙΙ |
SEMESTER |
C |
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COURSE TITLE |
INFORMATION TECHNOLOGY AND SOCIETY |
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INDEPENDENT TEACHING ACTIVITIES |
WEEKLY TEACHING HOURS |
CREDITS |
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Lectures and laboratory exercises |
4 |
6 |
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Add rows if necessary. The organisation of teaching and the teaching methods used are described in detail at (d). |
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COURSE TYPE general background, |
Background, general knowledge and skills development |
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PREREQUISITE COURSES:
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No |
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LANGUAGE OF INSTRUCTION and EXAMINATIONS: |
Greek |
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IS THE COURSE OFFERED TO ERASMUS STUDENTS |
No |
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COURSE WEBSITE (URL) |
https://openeclass.uom.gr/courses/BSO146/ |
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(2) LEARNING OUTCOMES
Learning outcomes |
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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
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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
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General Competences |
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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? |
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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 or distance learning |
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USE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY |
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:
Open courses and open educational material |
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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 |
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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:
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- 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 |
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COURSE CODE |
ΒΣΑ401-ΙΙ |
SEMESTER |
Α |
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COURSE TITLE |
PRINCIPLES OF ECONOMICS |
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INDEPENDENT TEACHING ACTIVITIES |
WEEKLY TEACHING HOURS |
CREDITS |
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LECTURES |
2 |
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TUTORIALS |
2 |
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TOTAL |
4 |
6 |
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Add rows if necessary. The organisation of teaching and the teaching methods used are described in detail at (d). |
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COURSE TYPE general background, |
GENERAL BACKGROUND |
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PREREQUISITE COURSES:
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NONE |
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LANGUAGE OF INSTRUCTION and EXAMINATIONS: |
GREEK |
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IS THE COURSE OFFERED TO ERASMUS STUDENTS |
NO |
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COURSE WEBSITE (URL) |
https://openeclass.uom.gr/modules/course_home/editdesc.php?course=BSO131 |
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(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
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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.
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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. 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. |
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USE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY |
USE OF ICT IN LECTURES, TUTORIALS, ESSAY PRESENTATION, COMMUNICATION WITH STUDENTS
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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 |
|
||||||||||||||||
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 bonus 20% of essay/presentation mark, added to final grade THE ASSESSMENT METHOD IS PRESENTED AND EXPLAINED THE COURSE |
(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.
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- 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 |
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ACADEMIC UNIT |
BALKAN, SLAVIC AND ORIENTAL STUDIES |
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LEVEL OF STUDIES |
UNDERGRADUATE |
||||
COURSE CODE |
ΒΣΑ410-ΙΙ |
SEMESTER |
D |
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COURSE TITLE |
QUANTITATIVE METHODS SOCIAL SCIENCES - STATISTICS |
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INDEPENDENT TEACHING ACTIVITIES |
WEEKLY TEACHING HOURS |
CREDITS |
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Lectures and laboratory exercises |
4 |
6 |
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|||
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|
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Add rows if necessary. The organisation of teaching and the teaching methods used are described in detail at (d). |
|
|
|||
COURSE TYPE general background, |
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
|
|
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
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|
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 or distance learning |
||||||||||||||||||||||
USE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY |
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:
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 |
|
||||||||||||||||||||||
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.