SOFT SKILLS

Course Information
TitleΜΕΤΑΒΙΒΑΣΙΜΕΣ ΔΕΞΙΟΤΗΤΕΣ / SOFT SKILLS
CodeMCM.1.4
FacultySciences
SchoolBiology
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter/Spring
CommonNo
StatusActive
Course ID600024604

Programme of Study: PMS MORIAKOI KAI KYTTARIKOI MĪCΗANISMOI EKFYLISĪS KAI ANAGENNĪSĪS ISTŌN 2025

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course115
Class Information
Academic Year2025 – 2026
Class PeriodWinter
Faculty Instructors
Weekly Hours2
Class ID
600273552
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • English (Instruction, Examination)
Learning Outcomes
Upon successful completion of this course, students will be able to: 1. Access and effectively use academic databases, journals, and other online resources. 2. Identify and avoid plagiarism and intellectual property violations in academic and research work. 3. Set clear career goals and develop a strategic plan and professional networks for a successful career in the life sciences. 4. Write and publish research articles in reputable scientific journals. 5. Draft research proposals to secure scholarships and research funding. 6. Understand the ethical and regulatory aspects of laboratory research, including the use of experimental animals and biological materials. 7. Apply fundamental statistical concepts and techniques relevant to biology. 8. Analyze, visualize, and interpret biological data using statistical methods and the R programming language. Throughout the course, students will engage in practical exercises, discussions, and assignments related to each lecture topic. By the end of the course, they will have developed a well-rounded skill set that enhances their career prospects in biology and life sciences.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an international context
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
The course is designed to equip Master’s students with a comprehensive range of transferable skills essential for success in both academic and professional settings. A variety of topics are covered, including: - Effective use of electronic resources and understanding plagiarism issues. - Emerging career opportunities in both the domestic and international job markets. - Scientific writing, including research publications and funding proposals. - Fundamental principles of statistical analysis. - The use of experimental animals and good laboratory practices. - Hands-on experience with R programming, a valuable and modern tool for bioinformatics analysis. By the end of the course, students will have developed practical and analytical skills that will enhance their career prospects in the life sciences.
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures
Written assigments
Exams
Total
Student Assessment
Description
Student assessment is conducted by the instructors throughout the course based on their participation in class, including asking questions and answering oral questions posed by the instructors. Students will prepare, submit, and present a Written Assignment, Report, or Paper at the end of the course, and will be graded based on this work.
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Formative, Summative)
  • Written Exam with Short Answer Questions (Formative, Summative)
  • Written Exam with Extended Answer Questions (Formative, Summative)
  • Written Assignment (Formative)
  • Oral Exams (Formative, Summative)
  • Written Exam with Problem Solving (Formative, Summative)
Last Update
23-03-2025