Master Thesis

Course Information
TitleΜΕΤΑΠΤΥΧΙΑΚΗ ΔΙΠΛΩΜΑΤΙΚΗ ΕΡΓΑΣΙΑ / Master Thesis
CodeΔΕ4
FacultyEngineering
SchoolChemical Engineering
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter/Spring
CommonNo
StatusActive
Course ID600023338

Programme of Study: MSc Chemical and Biochemical Engineering: Health & Food

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
KORMOSDissertation4230

Class Information
Academic Year2025 – 2026
Class PeriodSpring
Faculty Instructors
Instructors from Other Categories
Class ID
600245876
Course Type 2021
Specialization / Direction
Mode of Delivery
  • Face to face
Digital Course Content
Prerequisites
Required Courses
  • ΑΔ1 Process analysis
  • ΕΔ1 Data mining and numerical analysis
  • ΣΒ1 Design of Food Industry Production Units
  • ΤΛ1 Functional Food Technology
  • ΒΦ2 Bio-Pharmaceutical Technology
  • ΔΠ2 Production processes of advanced biomaterials
  • ΣΒ2 Design of Manufacturing Processes for Pharmaceutical products
  • ΒΜ3 Biomedical Engineering, Regenerative Medicine, Tissue Engineering
  • ΒΤ3 Bioanalysis and -OMICS
  • ΔΦ2 Management of Manufacturing Industries & Medicines and Food Legislation
  • ΜΔΕ3 Master's Thesis (Literature review and experimental or computational study design)
General Prerequisites
The postgraduate student must have successfully passed all the courses of the 1st, 2nd and 3rd semesters of the program, in order to conduct the Diploma Thesis (semester 4 of studies)
Learning Outcomes
1) The student will be able to search, select, analyze and synthesize bibliographic data in a specific scientific field and topic 2) The student will be able to organize the theoretical/bibliographic material and become familiar with a specific way of writing a scientific text 3) The student will become familiar with the concept of plagiarism and its avoidance through the reproduction of bibliographic data 4) The student will become familiar with the use and citation of bibliographic references 5) The student will become familiar with laboratory experiments and/or computational studies of various types and methodologies and will be able to independently conduct laboratory experiments and/or computational studies with dedication and responsibility 6) The student will be able to evaluate the results of his laboratory experiments and/or computational studies, to judge their correctness and innovation and to adapt his experimental/computational plan accordingly 7) The student will be able to write the results and experimental/simulations part of his/her thesis, and critical evaluate those and to present in a specific way of writing a scientific text, the overall text of his/her thesis, according to the regulation of diploma theses of the postgraduate program 8) The student will be able to organize and present his data to a wide audience
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 an interdisciplinary team
  • Generate new research ideas
  • Design and manage projects
  • Respect natural environment
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
The postgraduate diploma Thesis in the fourth semester aims to introduce the student to the scientific research and/or scientific literature, research methodology, with the communication of their results, both written and oral, according to the rules applicable to the international scientific community. It includes the review of the scientific literature and the presentation of its results in a scientific subject. In addition, the student will be trained in the laboratory/computer methodologies that will be required for his/her thesis and will then conduct experiments/computer studies independently, according to the plan approved during the completion of the "Master's Thesis ( Literature review and design of experimental or computational study) of the third semester, and he/she will constantly evaluate his results in collaboration with his supervisor, redesign the next steps and evaluate the originality and innovation. Then, after the cycle of experiments/computational studies has been successfully completed, he/she will write the text of his diploma thesis where the results will be presented in a critical manner and always in accordance with the Regulations for diploma theses of the postgraduate program. Finally, he will present his thesis publicly.
Educational Material Types
  • διαρκής εκπαίδευση σε εργαστηριακή/υπολογιστική μεθοδολογία
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
Description
1) The supervisor communicates with the students via email, zoom, etc. 2) The evaluation of the course is performed electronically through qa.auth.gr. 3) The training will also take place through ICT (demonstration of instruments, software, watching webinars, etc., remote control of equipment
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Laboratory Work40013.3
Reading Assigment1003.3
Project2006.7
Written assigments2006.7
Total90030
Student Assessment
Description
The final evaluation of the diploma thesis is performed by the three members of the Advisory Committee (based on the submitted text of the thesis and the public presentation). The criteria include: - Scientific Quality - Writing Excellence - Presentation The final grade is the average of the three evaluators.
Student Assessment methods
  • Written Assignment (Summative)
  • Oral Exams (Summative)
  • Performance / Staging (Summative)
Bibliography
Course Bibliography (Eudoxus)
Ειδική κατά περίπτωση βιβλιογραφία
Last Update
20-02-2024