SGN-33007 Media Analysis, 5 cr
Implementation SGN-33007 2017-01
Description
Upon completion of this course, the students shall learn the basic concepts in media analysis using modern artificial intelligence methodologies. The course will be conducted as a seminar where attendance is recorded and students are responsible for reading the literature, preparing and giving seminar presentations. There will be no exams in the course (ignore the exam and exam date mentioned below, we will try to fix this). The list of course material below is tentative and may change during the course. The aim is to cover up-to-date and recent advances in the field of AI and media analysis. We may also extend the scope of the course and consider other types of data.
Lessons
| Period | 3 - 4 |
| Methods of instruction | Luento |
| Person responsible | Moncef Gabbouj, Jenni Raitoharju |
Assessment scale
Evaluation scale passed/failed will be used on the course
Requirements
Attendance, computer project and or seminar and exam
Additional information of course implementation
Recommended for final year MSc and postgraduate students.
| SGN-33007 Media Analysis/Lec/01 | Tue 09.01.2018 | 12:00 - 14:00 |
| SGN-33007 Media Analysis/Lec/01 | Tue 16.01.2018 | 12:00 - 14:00 |
| SGN-33007 Media Analysis/Lec/01 | Tue 23.01.2018 | 12:00 - 14:00 |
| SGN-33007 Media Analysis/Lec/01 | Tue 30.01.2018 | 12:00 - 14:00 |
| SGN-33007 Media Analysis/Lec/01 | Tue 06.02.2018 | 12:00 - 14:00 |
| SGN-33007 Media Analysis/Lec/01 | Tue 13.02.2018 | 12:00 - 14:00 |
| SGN-33007 Media Analysis/Lec/01 | Tue 20.02.2018 | 12:00 - 14:00 |
| SGN-33007 Media Analysis/Lec/01 | Tue 06.03.2018 | 12:00 - 14:00 |
| SGN-33007 Media Analysis/Lec/01 | Tue 13.03.2018 | 12:00 - 14:00 |
| SGN-33007 Media Analysis/Lec/01 | Tue 20.03.2018 | 12:00 - 14:00 |
| SGN-33007 Media Analysis/Lec/01 | Tue 27.03.2018 | 12:00 - 14:00 |
| SGN-33007 Media Analysis/Lec/01 | Tue 10.04.2018 | 12:00 - 14:00 |
| SGN-33007 Media Analysis/Lec/01 | Tue 17.04.2018 | 12:00 - 14:00 |
| SGN-33007 Media Analysis/Lec/01 | Tue 24.04.2018 | 12:00 - 14:00 |
Study material
| Type | Name | Author | ISBN | Additional information | Language | Examination material |
| Book | Artificial Intelligence Now - Current Perspectives from O'Reilly Media | T. McGovern, Ed. | This is a light treatment of AI for beginners. It is a recommended reading for all students. In addition to AI landscape, it explores AI technology and Autonomous Systems in II&III. Part IV focuses on natural language processing and deep learning. Several use cases are explored in Part V, whereas Part VI explores the next generation AI where Human and Machine Intelligence are integrated. | English | No | |
| Book | Content-Based Management of Multimedia Databases | Kiranyaz, S. and Gabbouj, M. | English | No | ||
| Book | Data Warehousing in the Age of Artificial Intelligence | G. Orenstein, C. Doherty, M. Boyarski and E. Boutin | This book explains the basis concepts of data warehousing in the new era of artificial intelligence. Several chapters of the book are of interest to the course, particularly chapters 6-11 which focus on data pipeline building, processing, strategies, use cases and the future of data processing for AI. | English | No | |
| Book | Deep Learning | Ian Goodfellow, Yoshua Bengio, and Aaron Courville | This reference is one of the best references available about modern machine learning. | English | No | |
| Research | Advances in Artificial Intelligence - From Theory to Practice | S. Benferhat, K. Tabia and M. Ali (Eds.) | This reference contains Part II of the Proceedings of the 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, held in Arras, France on 27-30 June 2017. (120?) | English | No |