Brief Introduction
This module aims to enhance learners’ managerial abilities by equipping them with computational tools and philosophical critical reasoning skills, thus empowering them to make well-informed decisions based on data and to critically evaluate solutions.
Description
Through a series of fun and engaging hands-on activities, this module aims to equip the learner with the ability to thoughtfully apply computational tools when solving complex real-world problems. This module aims to impart to the learner, the ability to critically self-evaluate the way they apply these tools, and thus be able to reason effectively in a variety of contexts. They will learn to identify problems and design solutions, while also developing a critical awareness of the merits and limits of their methods, thereby empowering them to make better-informed decisions and to articulate the reasons for those decisions
Knowledge
- Familiar with the process of computational problem-solving
- Simplify and analyse complex problems and identify possible solutions.
- Using computational tools to form persuasive arguments and prescriptions.
- Understand the rudimentary concepts of algorithm design
- Be familiar with the processes involved in creating algorithms to solve problems.
- Appreciate the importance of failure as an essential component in problem-solving.
- Be aware of the usefulness and limitations of various computational tools.
- Communicate effectively with others who engage in similar ways of problem-solving.
Generative Modelling
- 0.0
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This course focuses on the generation of complex spatial information models capturing various relationships and constraints. In the process, you will also further develop your coding skills....
Mathematical Thinking in Computer Science
- 4.4
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Mathematical thinking is crucial in all areas of computer science: algorithms, bioinformatics, computer graphics, data science, machine learning, etc. Am I sure my program computes the optimal answer?...
Introduction to Recommender Systems: Non-Personalized and Content-Based
- 4.5
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In addition to detailed lectures and interactive exercises, this course features interviews with several leaders in research and practice on advanced topics and current directions in recommender systems....
Computational Reasoning
- 0.0
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Through a series of fun and engaging hands-on activities, this module aims to equip the learner with the ability to thoughtfully apply computational tools when solving complex real-world problems....
