Smart Systems (Autumn Semester - 2023, 2024, 2025)

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The objective of this course is to provide a basic understanding of machine learning through practice, to the final year undergraduate students. Following are the contents of this course, adapted mainly for time-series data.

• Data Manipulation and Feature Engineering of a dataset
• Supervised Learning (Regression and Classification)
• Unsupervised Learning (Clustering)
• Deep Learning (CNN and LSTM for time-series regression)

At the end of the module, students are able to:

• Understand the fundamental principles of machine learning algorithms
• Select and implement machine learning (or optimisation) method which is appropriate for the energy related problem under consideration.

English And Communication (Autumn Semester - 2023, 2024, 2025)

Official Course Link

The English and Communication course is designed to help students to do the following:

• Develop their oral and written comprehension and production skills in English
• Develop their confidence in using and communicating in English
• Professionalise their English usage and communication
• Develop transferable (“soft”) skills
• Develop their cultural and intercultural awareness
• Work towards certification of B2 level according to the CECRL.

At the end of the semester, students are able to:

• Analyse individual learning preferences, and develop strategies to promote autonomous language learning
• Deliver a prepared text in public with appropriate techniques (rhythm, intonation, body language)
• Communicate appropriately in a professional context, both face-to-face and using telecommunications (telephoning, emailing, video conferencing)