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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Software Engineering & Programming Basics | 15% | - Programming paradigms - Basic syntax and control structures - Software development lifecycle - Testing and debugging fundamentals |
| Topic 2: Computer Architecture & Organization | 15% | - CPU, memory, I/O systems - Memory hierarchy and performance - Instruction sets and execution cycles - Von Neumann architecture |
| Topic 3: Algorithms & Complexity | 25% | - Sorting and searching algorithms - Algorithm design and analysis - Recursion and iterative structures - Big O notation, time and space complexity |
| Topic 4: Data Structures | 20% | - Arrays, linked lists, stacks, queues - Data storage and retrieval principles - Primitive and composite data types - Trees, graphs, hash tables |
| Topic 5: Discrete Mathematics & Logic | 25% | - Set theory, relations, functions - Proof techniques and mathematical induction - Propositional and predicate logic - Boolean algebra and digital logic |
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NEW QUESTION # 23
What is the time complexity of a binary search algorithm?
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