Machine Learning and Deep Neural Networks

Description: Introduction to Machine Learning, Artificial Neural Networks, Perceptron, Multilayer perceptron. Backpropagation, Deep neural networks. Convolutional NNs, Deep learning for object detection, Deep Semantic Image Segmentation, Generative Adversarial Networks, Recurrent Neural Networks. LSTMs, Data Clustering, Decision Surfaces. Support Vector Machines, Distance-based Classification, Dimensionality Reduction, Kernel Methods, Bayesian Learning, Deep Reinforcement Learning, CVML Software Development Tools

Institution: Aristotle University of Thessaloniki

Department: Department of Informatics

Short Course

ECTS: 1.5

Level: MSc/Senior undergraduate

Semester: Spring Semester

Start Day, Duration: 17th February 2021, 2 Days

Language: English

Participation mode: teleconference/tele-exams

Participation terms: See course website

Lecturer: Prof. Ioannis Pitas, pitas@csd.auth.gr

Link to course: https://icarus.csd.auth.gr/cvml-short-course-machine-learning-and-deep-neural-networks/

Computer Game Creativity

Description: Introduction, Level & World Generation, Rules and Mechanics, Experience-driven Procedural Content Generation (PCG), Visuals & Audio, Narrative, Mixed-Initiative PCG, Evaluating PCG The study-unit includes a study of the different game facets from the perspective of human authors, presents the state-of-the art in procedural content generation within games, and connects them to instances of computational or mixed-initiative creativity outside of games (e.g. parametric design in architecture, generative art, procedural audio). Computational game creativity is positioned at the intersection of developing fields within games research, such as procedural content generation and AI-assisted design, and long-studied fields, such as visual art and narrative.

Institution: University of Malta

Department: 

Short Course

ECTS: 

Level: Graduate

Semester: Spring Semester

Start Day, Duration: 22nd February 2021

Language: English

Participation mode: 

Participation terms: 

Lecturer: Dr Antonios Liapis an.liapis@gmail.com

Link to course: https://sites.google.com/view/msc-in-digital-games-2020/idg5155-computational-game-creativity

Player Modeling: From Game Analytics to Affective Computing

Description: Revisiting game artificial intelligence. The role of Player Modeling, Basic data analysis, data preprocessing and descriptive statistics, Classification and prediction, Clustering, Data Visualization, Industrial game analytics – problems and needs, Theories of emotion (affect and cognition), The Affective Loop: key components, Eliciting Emotion (protocols and approaches), Recognizing and Modelling Emotion, The model’s input (Speech, eye gaze, physiology, images, movement/posture), Feature Extraction / Selection, The model’s output (affect annotation / ranks, ratings, ground truth), A taxonomy of modelling approaches, Pattern recognition, Classification, Regression, Preference Learning, Expressing Emotion (via agents and virtual environments), Closing the affective loop: Adaptation via agents and virtual environments, Player Experience Modeling, Popular application domains: computer games, HCI, health etc.

Institution: University of Malta

Department: 

Short Course

ECTS: 

Level: Graduate

Semester: Spring Semester

Start Day, Duration: 22nd February 2021

Language: English

Participation mode: 

Participation terms: 

Lecturer: Prof. Georgios N. Yannakakis georgios.yannakakis@um.edu.mt

Link to course: https://sites.google.com/view/msc-in-digital-games-2020/idg5159-player-modeling