L4 Problem Solving Techniques--Module 2
Lecture 4: Problem Solving Techniques
Page 1:
Lecture Title: Problem Solving Techniques
Page 2: Introduction to Problem Solving
Problem Solving Basics
Logic is essential for effective problem solving.
Classification of Computational Problems
Various types of computational problems.
Programming Paradigms and Methodologies
Introduction and significance in computing.
Introduction to Algorithms
Algorithms for simple problems and analysis techniques.
Flow Charts
Basic flow chart creation and usage of the RAPTOR tool for implementation with simple problems.
Learning Outcomes
Relevant for CSE 101/102, Computer Science and Engineering.
Page 3: The Problem Solving Loop
Identify the Problem
Explore Information
Gather data and create ideas.
Select the Best Idea
Build and Test the Idea
Evaluate the Results
Lesson 4 connects problem solving with programming paradigms and methodologies.
Page 4: Learning Objectives
Understanding key concepts such as:
Problem solving basics
The importance of logic in problem solving
Various types and classifications of computational problems
Introduction to relevant programming paradigms and methodologies.
Page 5: Overview of Concepts
Additional Information
Syntax, Control Flow, and Video clips.
Case studies and DIY exercises included.
Page 6: Skill Set for Software Engineers
Key competencies and skills necessary for software engineers.
Page 7: Understanding What is a Problem
Definition and characteristics of problems in programming and computation.
Page 8: Detailed Exploration of Problems
More insights into problem characteristics and context.
Page 9: Handling Bigger Problems
Approaches to managing larger problems effectively.
Page 10: Problem Solving Life Cycle
Structured approach to navigating the problem-solving process.
Page 11: The Role of Logic
Syntax and Additional Information
Key phrases and keywords related to logic in problem solving.
Page 12: Logical Thinking Process
Steps and considerations in logical thinking for problem solving.
Page 13: Importance of Logic
Logic's crucial role in effective problem solving.
Page 14: Continued Importance of Logic
Further discussion on the relevance of logic in various contexts.
Page 15: Types of Logic
Overview of the different systems and types of logic.
Page 16: Types of Problems
Categorization of varying types of problems faced in computational contexts.
Page 17: Computational Problems
Detailed look at computational problems and their characteristics.
Page 18: Applications of Computational Problems
Broad applications for computational problems in real-world scenarios.
Page 19: Classification of Computational Problems
Different methods for classifying computational problems.
Page 20: Distributed/Concurrent Computation
Key points on distributed and concurrent computing.
Page 21: Sequential/Event-Based Computation
Explanation of sequential and event-driven approaches to computation.
Page 22: Software Development Life Cycle (SDLC)
Overview of the Software Development Life Cycle and its significance.
Page 23: Programming Paradigms and Methodologies
Discussion of methodologies used during the SDLC:
Unstructured Programming
Structured Programming (C)
Object-Oriented Programming (OOP; C++)
Page 24: Unstructured Programming (USP)
Characteristics of USP:
Entire code in one continuous program.
Direct data operation.
Example: Basic Language.
Page 25: Limitations of USP
Challenges as program size increases:
Hard to understand and modify.
Redundant code resourcing and risk of errors.
Page 26: Structured Programming (SP)
Definition and advantages of SP:
Breaks problems into manageable subtasks.
Example Programming Languages: ALGOL, Pascal, Ada.
Page 27: Limitations of SP
Focuses on algorithms over the data, making it suitable mainly for small to medium-sized projects.
Page 28: Object-Oriented Programming (OOP)
Characteristics of OOP:
Designed for complex problems.
Represents real-life situations through objects.
Components: State and Behavior (Example languages: C++, Java).
Page 29: Summary of Key Concepts
Summary covering:
Problem solving
Logic and its significance
Classifications of computational problems
Programming paradigms: USP, SP, and OOP.