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

COURSE TYPE 

general background, special background, specialised general

knowledge, skills development

LANGUAGE OF INSTRUCTION and

EXAMINATIONS:

Learning Outocomes

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

Summary Guide for writing Learning Outcomes

Students should have the following skills after completing the course:

Knowledge: Understanding and describing the application of course concepts such as prediction models, single and multiple linear regression, nonlinear regression, accounting regression, and time series is required.

Abilities: To be able to distinguish the specific nature of the problem and use the proper methods and procedures of analysis, evaluation, and forecasting for business decision making, you must first understand the concepts.

Skills: Selection, combination, and use of relevant business forecasting approaches. Explain and defend the problem-solving strategy.

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, analysis and synthesis of data and information, using the necessary technologies

Work in an interdisciplinary environment

•Decision making

•Promoting free, creative and inductive thinking

•Autonomous Work

DELIVERY

Face-to-face, Distance learning, etc.

i. Face-to-face lectures

ii. Face to face - Solving tutorial exercises

Posting material for further study and solving exercises on the e-class platform

Posting material for further study and solving exercises on the e-class platform

USE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY

Use of ICT in teaching, laboratory education,

communication with students

Use of ICT in teaching, as follows::

- Computer-based laboratory exercises (excel, SPSS)

- Support for the Learning process and communication with students through the electronic platform e-class

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 the theoretical part will be carried out in the Greek language in three distinct ways:

1. A mid-term assessment in the 7th or 8th week (20 %).

2. Individual tasks (10%) that will be graded in the following manner: Ability to solve problems and give a public presentation

3. A written final exam (70%) that covers the following topics:

- Multiple choice questions

- Comparative analysis of theoretical aspects

- Problem-solving skills

The evaluation of the laboratory part will be carried out in the Greek language in three distinct ways:

1. Mid-term evaluation during the 10th week (15%).

2. Individual tasks (25%) that will be evaluated as follows: Problem solving ability, public presentation

3. Final examination (50%) that includes

- Multiple choice questions

- Problem solving using PC