Postgraduate Diploma Thesis
| Title | Μεταπτυχιακή διπλωματική εργασία / Postgraduate Diploma Thesis |
| Code | DMCI301 |
| Faculty | Sciences |
| School | Informatics |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter/Spring |
| Coordinator | Konstantinos(constantine) Kotropoulos |
| Common | No |
| Status | Active |
| Course ID | 600022989 |
Programme of Study: PMS PSĪFIAKA MESA - YPOLOGISTIKĪ NOĪMOSYNĪ (2018 éōs sīmera) PF
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Compulsory Course | 3 | 2 | 30 |
| Academic Year | 2023 – 2024 |
| Class Period | Winter |
| Faculty Instructors | |
| Class ID | 600241964
|
Course Type 2021
Skills Development
Course Type 2016-2020
- Scientific Area
- Skills Development
Course Type 2011-2015
Knowledge Deepening / Consolidation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600241964
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Instruction, Examination)
Prerequisites
General Prerequisites
A necessary condition to present the Postgraduate Diploma Thesis (MSc Thesis) is the successful examination in eight (8) courses of the Program of Postgraduate Studies (Master's Program).
Learning Outcomes
1) The student should be able to search for relevant information so that to select one of the subjects offered.
2) The student should prepare a thesis of research or technical content having a sufficient degree of originality or demonstrates good knowledge and in-depth understanding of a specific topic of current research or technical interest.
3) The student should be able to organize his research material (bibliography, data, code, experimental results) and get familiarized with writing a scientific document.
4) The student should adopt a code of ethics, i.e., not to plagiarize, to use tools, such as turnitin, to limit extensive copying of material from the internet, to avoid using tools, such as ChatGPT or assigning the preparation of his/her thesis to third parties.
5) The student should become familiar with the use and citation of bibliographic references.
6) The student should be able to organize and present the research results in a scientific conference or a peer-reviewed article submitted to a scientific journal.
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
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
Postgraduate Diploma (MSc) Thesis is targeted to cutting edge topics in Digital Media - Computational Intelligence (e.g., Signal Processing, Computational Vision, Computational Intelligence, Biosignal Analysis/Neuroinformatics, Games and Artificial Intelligence, Bioinformatics and Digital Biology, Complex/Dynamical Systems, Language Technology, Deep Learning, Autonomous System Perception, Virtual Reality). The Postgraduate Thesis has research or technical nature making a sufficient degree of originality or demonstrates good knowledge and in-depth understanding of a specific topic of current research or technical interest.It aims at analytical contribution that is validated by experimental results using modern software tools that are exploited by the industry, academia, or research centers. In addition to specialized knowledge, the student will learn to survey he will learn the literature, to implement one or more state-of-the-art techniques against which to compare the performance of the technique he/she proposes. At the same time, the students will familiarize themselves with the effective presentation of their work (increasing their communication skills, correct use of presentation techniques, familiarity with questions from the audience).
Keywords
Signal Processing, Computational Vision, Computational Intelligence, Biosignal Analysis/Neuroinformatics, Games and Artificial Intelligence, Bioinformatics and Digital Biology, Complex/Dynamical Systems, Language Technology, Deep Learning, Autonomous System Perception, Virtual Reality
Educational Material Types
- Scientific papers and books via HealLink
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Communication with Students
Description
Development of computer-based applications using MATLAB, python, or deep learning platforms.
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Reading Assigment | 300 | ✓ | |||
| Project | 350 | ✓ | |||
| Written assigments | 200 | ✓ | |||
| Thesis revision and presentation | 50 | ✓ | |||
| Total | 900 |
Student Assessment
Description
1. The Postgraduate Diploma Thesis is graded with a grade of ten (10) if a published paper was produced or an original paper is submitted for publication to a scientific journal or conference of high reputation.
2. The minimum passable grade of the Postgraduate Diploma Thesis is six (6).
Student Assessment methods
- Written Assignment (Formative, Summative)
- Performance / Staging (Formative, Summative)
Bibliography
Additional bibliography for study
Ειδική κατά περίπτωση αναλόγως προς το θέμα της διπλωματικής εργασίας. Specific literature depending on the Postgraduate Diploma Thesis subject.
Last Update
20-09-2023
