Mr. Rhed CS

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Hello everyone! I am a passionate Computer Science teacher with over 20 years of experience teaching across multiple international curricula, including: ✔ IG...

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B2.1.2 Construct programs that can extract and manipulate substrings

B2.1.1 Construct and trace programs using a range of global and local variables of various data type

B1.1.2 Describe the fundamental concepts of computational thinking

B1.1.4 Trace flowcharts for a range of programming algorithms

B1.1.3 Explain how applying computational thinking to fundamental concepts is used to approach and s

B1.1.1 Construct a problem specification

A4.4.2 Discuss ethical aspects of the increasing integration of computer technologies into daily.

A4.4.1 Discuss the ethical implications of machine learning in real world scenarios

A4.3.10 Explain the importance of model selection and comparison in machine learning

A4.3.9 Describe how CNNs are designed to adaptively learn spatial hierarchies of features in images

A4.3.8 Outline the structure and function of ANNs and how multi layer networks are used to model com

A4.3.7 Describe the application of genetic algorithms in various real world situations

A4.3.6 Describe how an agent learns to make decisions by interacting with its environment in RL.

A4.3.5 Describe how learning techniques using the association rule are used to uncover relations bet

A4.3.4 Describe how clustering techniques in unsupervised learning are used to group data based on s

A4.3.3 Explain the role of hyperparameter tuning when evaluating supervised learning algorithms

A4.3.2 Explain how classifications techniques in supervised learning are used to predict discrete ca

A4.3.1 Explain how linear regression is used to predict continuous outcomes

A4.2.3 Describe the importance of dimensionality reduction

A4.2.2 Describe the role of feature selection

A4.2.1 Describe the significance of data cleaning

A4.1.2 Describe the hardware requirements for various scenarios where machine learning is deployed

A4.1.1 Describe the types of machine learning and their applications in the real world

A3.4.4 Describe the features of distributed databases

A3.4.3 Explain the role of online analytical processing OLAP and data mining for business intelligen

A3.4.2 Explain the primary objectives of data warehouses in data management and business intelligenc

A3.4.1 Outline the different types of databases as approaches to storing data

A3.3.6 Describe how transactions maintain data integrity in a database HL only

A3.3.5 Describe different database views HL only

A3.3.4 Construct calculations within a database using SQL’s aggregate functions (HL only)