Artificial Intelligence - Bath - May 2023
Week 1
To summarise:
Search: Explore options to find the best solution. Think of finding the shortest route
between two places.
Probabilistic reasoning: Use probabilities and maths to make decisions in uncertain
situations. For example, predict rain based on weather patterns.
Machine learning: Utilise data to build models for predictions and decisions. For
instance, analyse stock prices to forecast trends.
Logical reasoning: Use logical facts and rules to make deductions and conclusions.
For example, deduce mortality based on human status.
Remember, we will learn algorithms related to these areas, applying them through
interactive coding exercises in Python using Jupyter notebooks. By the end of this
unit, you will have a strong understanding of artificial intelligence and its techniques.
Artificial intelligence involves creating intelligent systems capable of human-like
tasks. It encompasses four key areas:
Search: Finding optimal solutions, like identifying the shortest route.
Probabilistic reasoning: Making decisions based on probabilities, considering
uncertainty.
Machine learning: Building models from data for predictions and decisions.
Logical reasoning: Drawing conclusions from logical facts and rules.
Through hands-on coding, you will gain proficiency in AI concepts. AI research has
effectively addressed a broad range of challenges, from gaming to medical
diagnosis.
In summary:
Search: Try options for a solution.
Probabilistic reasoning: Use probabilities for decision-making.
Machine learning: Employ data to make predictions.
Logical reasoning: Deduce conclusions from logical facts.
Algorithms are a primary focus in this unit. Artificial intelligence empowers intelligent
agents to reason, learn, and act autonomously. Get ready to explore this fascinating
world of AI!
To summarise:
Knowledge and understanding:
, Understand various AI techniques, their pros and cons.
Recognize AI as a practical solution for complex computational problems.
Grasp the principles of formal AI and apply them.
Develop the ability to write small- to medium-sized AI programs.
Critically evaluate cutting-edge AI applications.
Skills, qualities, and attributes:
IT proficiency: Gain competence in using IT tools and technologies related to AI.
Problem-solving: Develop skills to solve problems using AI techniques.
Communication: Improve the ability to effectively communicate AI concepts and
findings.
Critical thinking: Enhance the capacity to analyse and evaluate AI approaches
critically.
Remember, by studying this unit, you will acquire a broad understanding of AI
techniques, practical problem-solving abilities, proficiency in IT tools, effective
communication skills, and critical thinking capabilities.
AI Techniques:
Understand various AI techniques and their pros and cons.
Apply formal AI concepts in practice.
Develop programming skills for AI-related tasks.
Evaluate state-of-the-art AI applications critically.
Skills and Attributes:
Utilise IT tools effectively.
Solve problems using AI approaches.
Communicate AI concepts clearly.
Think critically when evaluating AI methodologies.
Throughout your studies, you will gain a strong foundation in AI knowledge and
practical skills, empowering you to navigate the world of artificial intelligence
confidently.
Week 1
Demonstrate an understanding of uninformed search techniques.
Contrast the use of various uninformed search techniques for practical problems.
Produce code which applies one or more uninformed search techniques.
Week 1
To summarise:
Search: Explore options to find the best solution. Think of finding the shortest route
between two places.
Probabilistic reasoning: Use probabilities and maths to make decisions in uncertain
situations. For example, predict rain based on weather patterns.
Machine learning: Utilise data to build models for predictions and decisions. For
instance, analyse stock prices to forecast trends.
Logical reasoning: Use logical facts and rules to make deductions and conclusions.
For example, deduce mortality based on human status.
Remember, we will learn algorithms related to these areas, applying them through
interactive coding exercises in Python using Jupyter notebooks. By the end of this
unit, you will have a strong understanding of artificial intelligence and its techniques.
Artificial intelligence involves creating intelligent systems capable of human-like
tasks. It encompasses four key areas:
Search: Finding optimal solutions, like identifying the shortest route.
Probabilistic reasoning: Making decisions based on probabilities, considering
uncertainty.
Machine learning: Building models from data for predictions and decisions.
Logical reasoning: Drawing conclusions from logical facts and rules.
Through hands-on coding, you will gain proficiency in AI concepts. AI research has
effectively addressed a broad range of challenges, from gaming to medical
diagnosis.
In summary:
Search: Try options for a solution.
Probabilistic reasoning: Use probabilities for decision-making.
Machine learning: Employ data to make predictions.
Logical reasoning: Deduce conclusions from logical facts.
Algorithms are a primary focus in this unit. Artificial intelligence empowers intelligent
agents to reason, learn, and act autonomously. Get ready to explore this fascinating
world of AI!
To summarise:
Knowledge and understanding:
, Understand various AI techniques, their pros and cons.
Recognize AI as a practical solution for complex computational problems.
Grasp the principles of formal AI and apply them.
Develop the ability to write small- to medium-sized AI programs.
Critically evaluate cutting-edge AI applications.
Skills, qualities, and attributes:
IT proficiency: Gain competence in using IT tools and technologies related to AI.
Problem-solving: Develop skills to solve problems using AI techniques.
Communication: Improve the ability to effectively communicate AI concepts and
findings.
Critical thinking: Enhance the capacity to analyse and evaluate AI approaches
critically.
Remember, by studying this unit, you will acquire a broad understanding of AI
techniques, practical problem-solving abilities, proficiency in IT tools, effective
communication skills, and critical thinking capabilities.
AI Techniques:
Understand various AI techniques and their pros and cons.
Apply formal AI concepts in practice.
Develop programming skills for AI-related tasks.
Evaluate state-of-the-art AI applications critically.
Skills and Attributes:
Utilise IT tools effectively.
Solve problems using AI approaches.
Communicate AI concepts clearly.
Think critically when evaluating AI methodologies.
Throughout your studies, you will gain a strong foundation in AI knowledge and
practical skills, empowering you to navigate the world of artificial intelligence
confidently.
Week 1
Demonstrate an understanding of uninformed search techniques.
Contrast the use of various uninformed search techniques for practical problems.
Produce code which applies one or more uninformed search techniques.
