| DATA SCIENCE AND INFORMATION TECHNOLOGIES | ||||||
| FALL SEMESTER 2024-25 | ||||||
| MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY | ||
| Lesson Code | HOURS | HOURS | HOURS | HOURS | HOURS | |
| Μ164 | Knowledge Technologies | 11 a.m.-2 p.m. | ||||
| Koubarakis – Santipantakis | ||||||
| Required 1st Elective 2nd | ||||||
| Depart. of Informatics & Telecom. NKUA | ||||||
| Classroom Γ | ||||||
| M415 | Computer Vision | 2-5 p.m. | ||||
| Avrithis- Psomas | ||||||
| Elective 1st | ||||||
| Depart. of Informatics & Telecom. NKUA | ||||||
| Classroom Δ | ||||||
| Μ430 | Machine Learning | 6-9 p.m. | ||||
| Perantonis | ||||||
| Required 1st and 2nd | ||||||
| (online) | ||||||
| Μ417 | Introduction to Biotechnology | 12 n.-3 p.m. | ||||
| Tsaggaris-Stravopodis-Tsitsiloni | ||||||
| Required 2nd | ||||||
| Depart. of Informatics & Telecom. NKUA | ||||||
| Classroom Γ | ||||||
| Μ416 | Biology-Physiology | 10 a.m.-1 p.m. | ||||
| Stravopodis-Tsitsiloni-Anastasiadou | ||||||
| Required 2nd | ||||||
| Depart. of Informatics & Telecom. NKUA | ||||||
| Classroom Δ | ||||||
| Μ413 | Introduction to Bioinformatics | 2 p.m-5 p.m. | ||||
| Reczko-Dimopoulos | ||||||
| Required 2nd Elective 1st | ||||||
| Depart. of Informatics & Telecom. NKUA | ||||||
| Classroom Γ | ||||||
| M402 | Clustering Algorithms | 5-8 p.m. | ||||
| Koutroumpas | ||||||
| Elective 1st and 2nd | ||||||
| Depart. of Informatics & Telecom. NKUA | ||||||
| Classroom Γ | ||||||
| Μ161 | High scale Analytics | 9 a.m.-12 p.m. | ||||
| Gunopulos | ||||||
| Required 1st Elective 2nd | ||||||
| Depart. of Informatics & Telecom. NKUA | ||||||
| Classroom ΣΤ | ||||||
| Μ404 | Biostatistics | 12 n.-3 p.m. | ||||
| Linardatos | ||||||
| Elective 1st and 2nd | ||||||
| Depart. of Informatics & Telecom. NKUA | ||||||
| Classroom Γ | ||||||
| Μ401 | Deep Neural Networks | 3-6 p.m. | ||||
| Papageorgiou- Kolovou | ||||||
| Required 1st Elective 2nd | ||||||
| Depart. of Informatics & Telecom. NKUA | ||||||
| Classroom Γ | ||||||
| Clarification: | 1st : Specialization Big Data and AI | |||||
| 2nd: Specialization Bioinformatics -Biomedical Data Science | ||||||
