2023/24 Undergraduate Module Catalogue

LISS1060 Computational Thinking: Unlocking the Power of Problem Solving

10 creditsClass Size: 30

Module manager: Costas Loizou
Email: C.Loizou@leeds.ac.uk

Taught: 1 Jul to 31 Aug View Timetable

Year running 2023/24

Pre-requisite qualifications

GPA of 2.5 (US) or equivalent and enrolled at a university

This module is not approved as a discovery module

Module summary

This module transcends computer science, cultivating problem-solving expertise across diverse domains, from business to biology. In the global innovation landscape, computational thinking serves as a universal language. Students will equip themselves to think like a computer scientist, mastering concepts like decomposition, pattern recognition, and abstraction. Students will develop crucial skills in logical thinking and algorithm design, tackling real-world problems with confidence. Students will enhance both their spoken and written scientific communication abilities.

Objectives

The module aims to enable the students to:
Develop a creative way of thinking that would be useful for scientific problem solving and programming in various disciplines.
Introduce an approach to computational thinking and demonstrate a broad understanding of its concepts and techniques.
Develop scientific communication skills

Learning outcomes
On successful completion of the module students will have demonstrated the following learning outcomes relevant to the subject:
1. Express physical problems in a computational setting.
2. Implement core principles of computational thinking to obtain appropriate solutions of problems in a well-defined context.
3. Explain the background and solution of a given problem to an audience of non-specialists effectively in English.

Skills outcomes
On successful completion of the module students will have demonstrated the following skills learning outcomes:
a) Understand and communicate the key concepts of Computational Thinking effectively in English (Work-Ready, Academic, Digital).
b) Develop a logical approach towards problem solving (Academic, Work-Ready, Sustainability).
c) Move towards an autonomous learning style with an ability to work independently and in a group situation (Work-Ready, Sustainability, Enterprise).

Syllabus

Teaching methods

Delivery type	Number	Length hours	Student hours
Fieldwork	1	8.00	8.00
Fieldwork	1	10.00	10.00
Seminar	8	3.00	24.00
Independent online learning hours			15.00
Private study hours			43.00
Total Contact hours			42.00
Total hours (100hr per 10 credits)			100.00

Opportunities for Formative Feedback

Student progress will be monitored through:
Observation of student participation in seminar discussions and in-class group tasks
One-to-one discussion with the tutor during the tutor’s office hours.

Reading list

There is no reading list for this module

Last updated: 19/02/2024

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