What is “good mat” for Computer Science Students (A. Bolotov, 2017-05-10, 16:00)

LIS Sailak, BAILab PIUak eta LoRea ikerketa-taldeak, ondorengo hitzaldira gonbidatzen zaituzte:

Izenburua: What is “good mat” for Computer Science Students
Hizlaria: Alexander Bolotov. Department of Computer Science, Faculty of Science and Technology, University of Westminster
Data eta ordua: asteazkena, maiatzak 10, 16:00-17:00
Lekua: Ada Lovelace aretoa. Informatika Fakultatea

El Departamento de LSI, la UFI BAILab y el grupo de investigación LoRea os invitan a la siguiente charla:

Título: What is “good mat” for Computer Science Students
Conferenciante: Alexander Bolotov. Department of Computer Science, Faculty of Science and Technology, University of Westminster
Fecha y hora: miércoles 10 de mayo, 16:00-17:00
Lugar: Sala Ada Lovelace. Facultad de Informática


In the context of higher education, problem-based competence is a transferable skill that underpins effective performance in both academic and professional life and very important to the computer science discipline. Mathematics is a great example of problem solving by giving students the necessary skills of abstract reasoning. However, the latter is a barrier to the majority of our students. The aim of this talk is share experience in designing and implementing a problem-based learning in mathematics related modules in the computing UG provision at our university. We consider mathematics at the University undergraduate level as one of the core subjects of the foundation knowledge for our students. However, mathematics is related to a wider context and goes beyond computer science, forming the basis for one of the methodologies of problem-based learning.
In this talk we will discuss issues of Knowledge Processing, Flexibility, Challenges, Engagement and Confidence, and the Transitional Period reflecting the needs of different students? cohorts.

We describe our methodology, discuss the role of Mathematics in the Context of Computing Provision, Look at the issues of Overloaded ad Underloaded Module Content, speak about the Constructive Alignment Approach to Learning Outcomes and Our Approach to Abstract Reasoning based upon identifying various groups of students in relation to abstract reasoning.

Speaker Short-CV:

Alexander Bolotov is a Principal Lecturer within the Department of Computer Science and Software Engineering in the School of Electronics and Computer Science, at the University of Westminster. He is the group leader Software Systems Engineering and teaches various modules within BEng/MEng Software Engineering and Artificial Intelligence. He has been the winner of this year’s Westminster Teaching Excellence Team Awards for innovative approaches to Mathematics provision.

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