Develop Advanced Computational Thinking and Problem-Solving Skills for IB DP Paper 2
This course is designed to help IB Diploma Programme (DP) Computer Science students master the Paper 2 syllabus content, focusing on computational thinking, programming, and object-oriented design. It provides the perfect balance between theory and practice, guiding both Standard Level (SL) and Higher Level (HL) learners toward success in programming and algorithmic problem-solving.
Course Modules
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B.1 Computational Thinking: Learn how to break down complex problems into logical steps, identify patterns, and develop algorithmic solutions using real-world examples.
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B.2 Programming: Build a strong foundation in programming concepts such as variables, data types, control structures, arrays, and functions through practical coding tasks and guided challenges.
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B.3 Object-Oriented Programming (OOP): Understand the principles of classes, objects, inheritance, and encapsulation to create efficient, modular, and reusable code using languages like Python or Java (based on IB requirements).
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B.4 Abstract Data Types (HL Only): Explore advanced concepts such as linked lists, stacks, queues, and binary trees — essential for Higher Level (HL) students aiming for top marks and strong computational logic.
What You’ll Gain
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Full coverage of the IB DP Computer Science Paper 2 syllabus
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Step-by-step programming tutorials and code walkthroughs
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Hands-on problem-solving and algorithm design exercises
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Practice questions and mock tests for exam readiness
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Expert feedback and mentor guidance for personalized learning
By completing this course, students will gain confidence in programming, develop analytical problem-solving abilities, and be fully prepared for the IB DP Paper 2 exam and future computing studies.
📘 Join now to strengthen your coding skills and master computational thinking at an IB level.
B1 Computational thinking
B1 Computational thinking
B1.1 Approaches to computational thinking
B1.1.1 Construct a problem specification.
B1.1.2 Describe the fundamental concepts of computational thinking.
B1.1.3 Explain how applying computational thinking to fundamental concepts is used to approach and solve problems in computer science.
B1.1.4 Trace flowcharts for a range of programming algorithms.
B2 Programming
B2 Programming
B2.1 Programming fundamentals
B2.1.1 Construct and trace programs using a range of global and local variables of various data types.
B2.1.2 Construct programs that can extract and manipulate substrings.
B2.1.3 Describe how programs use common exception handling techniques.
B2.1.4 Construct and use common debugging techniques.
B2.2 Data structures
B2.2.1 Compare static and dynamic data structures.
B2.2.2 Construct programs that apply arrays and Lists.
B2.2.3 Explain the concept of a stack as a “last in, first out” (LIFO) data structure.
B2.2.4 Explain the concept of a queue as a “first in, first out” (FIFO) data structure.
B2.3 Programming constructs
B2.3.1 Construct programs that implement the correct sequence of code instructions to meet program objectives.
B2.3.2 Construct programs utilizing appropriate selection structures.
B2.3.3 Construct programs that utilize looping structures to perform repeated actions.
B2.3.4 Construct functions and modularization.
B2.4 Programming algorithms
B2.4.1 Describe the efficiency of specific algorithms by calculating their Big O notation to analyse their scalability.
B2.4.2 Construct and trace algorithms to implement a linear search and a binary search for data retrieval.
B2.4.3 Construct and trace algorithms to implement bubble sort and selection sort, evaluating their time and space complexities.
B2.4.4 Explain the fundamental concept of recursion and its applications in programming. (HL only)
B2.4.5 Construct and trace recursive algorithms in a programming language. (HL only)
B2.5 File processing
B2.5.1 Construct code to perform file-processing operations.
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Numeric types & operations1 hr
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String types & operationsmin
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Arrays & lists1 hr
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Sequence & selection1 hr
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Iteration1 hr
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Functions & modularisation1 hr
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Exception handling & debugging techniques1 hr
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Stacks1 hr
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Queues1 hr
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Big O1 hr
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Search algorithms1 hr
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Sort algorithms1 hr
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Recursion (HL)1 hr
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File processing1 hr
B3 Object-oriented programming
B3 Object-oriented programming
B3.1 Fundamentals of OOP for a single class
B3.1.1 Evaluate the fundamentals of OOP.
B3.1.2 Construct a design of classes, their methods, and behaviour.
B3.1.3 Distinguish between static and non-static variables and methods.
B3.1.4 Construct code to define classes and instantiate objects.
B3.1.5 Explain and apply the concepts of encapsulation and information hiding in OOP.
B3.2 Fundamentals of OOP for multiple classes (HL only)
B3.2.1 Explain and apply the concept of inheritance in OOP to promote code reusability.
B3.2.2 Construct code to model polymorphism and its various forms, such as method overriding.
B3.2.3 Explain the concept of abstraction in OOP.
B3.2.4 Explain the role of composition and aggregation in class relationships.
B3.2.5 Explain commonly used design patterns in OOP.
B4 Abstract data types (HL only)
B4 Abstract data types (HL only)
B4.1 Fundamentals of ADTs
B4.1.1 Explain the properties and purpose of ADTs in programming.
B4.1.2 Evaluate linked lists.
B4.1.3 Construct and apply linked lists: singly, doubly and circular.
B4.1.4 Explain the structures and properties of BSTs.
B4.1.5 Construct and apply sets as an ADT.
B4.1.6 Explain the core principles of ADTs.
Md Mamun Ar Rashid
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- Price
$250
$591 - Instructor Md Mamun Ar Rashid
- Duration 90 hr
- Category International Baccalaureate (IB)
- Curriculum 4
- Lectures 32
- Enrolled 0