Lecture

Lec 1 - Introduction To Problem Solving and Programming

This module serves as an introduction to the fundamental concepts of problem-solving and programming. Students will learn about:

  • The importance of problem-solving in computing
  • Basic programming concepts and constructs
  • How to create algorithms for various problems

By the end of this module, students should have a solid understanding of the foundations necessary for further studies in programming.


Course Lectures
  • This module serves as an introduction to the fundamental concepts of problem-solving and programming. Students will learn about:

    • The importance of problem-solving in computing
    • Basic programming concepts and constructs
    • How to create algorithms for various problems

    By the end of this module, students should have a solid understanding of the foundations necessary for further studies in programming.

  • This module explores various problem-solving techniques that are essential for programming. Students will delve into:

    • Identifying problems effectively
    • Using algorithms to devise solutions
    • Implementing solutions through programming

    Hands-on practice will reinforce the concepts learned, preparing students for more complex programming challenges.

  • This module introduces iterative and recursive programming styles. Key topics include:

    • Understanding the difference between iteration and recursion
    • When to use each approach effectively
    • Examples of problems solved using both techniques

    Students will engage in coding exercises to solidify their understanding of both styles.

  • This module covers the concepts of correctness and efficiency in programming. Highlights include:

    • Understanding program correctness
    • Analyzing algorithm efficiency
    • Time and space complexity measures

    Students will learn to evaluate their programs, ensuring they are both correct and efficient.

  • This module introduces imperative programming, covering essential concepts such as:

    • Basic syntax and structure of imperative languages
    • Control structures: loops and conditionals
    • Writing and executing simple programs

    Hands-on coding sessions will help students gain practical experience in programming.

  • This module delves into advanced features of imperative languages, focusing on:

    • Procedures and functions
    • List handling using references
    • File handling techniques

    Students will develop skills to manage data efficiently and implement more complex programs.

  • This module focuses on object-oriented programming concepts and their application. Students will learn about:

    • Defining and using classes and objects
    • Understanding encapsulation, inheritance, and polymorphism
    • Creating and manipulating objects in code

    Practical assignments will help reinforce these concepts through real-world applications.

  • This module provides an overview of the fundamental concepts of problem-solving and programming. Students will explore:

    • The definition of computing and its significance in various fields.
    • Basic problem-solving techniques including decomposition and pattern recognition.
    • A brief introduction to programming languages and their applications.

    By the end of this module, students will have a foundational understanding of how computing can be applied to solve real-world problems.

  • This module delves into the design of algorithms, emphasizing both iterative and recursive approaches. Students will learn to:

    • Understand the importance of algorithms in programming.
    • Differentiate between iterative and recursive techniques.
    • Implement algorithms using pseudocode and programming languages.

    Through practical exercises, students will enhance their problem-solving skills and learn to apply these strategies to various programming challenges.

  • In this module, students will focus on solving problems using a functional programming style. Key topics include:

    • The principles of functional programming and its advantages.
    • Higher-order functions and first-class functions.
    • Common functional programming languages and their unique features.

    By engaging with practical examples, students will develop the ability to apply functional programming concepts to real-world situations.

  • This module addresses correctness and efficiency issues in programming. Students will cover:

    • Methods for verifying program correctness.
    • Common efficiency issues and their impact on performance.
    • Strategies for optimizing code.

    Through case studies and coding exercises, students will learn to write reliable and efficient programs.

  • This module introduces students to time and space measures in programming, covering key concepts such as:

    • Big O notation and its significance in analyzing algorithms.
    • Memory management and its role in program efficiency.
    • Techniques for measuring and improving time and space complexity.

    Students will apply these concepts through hands-on activities, enhancing their understanding of resource management within software development.

  • This module covers imperative programming style, emphasizing control structures and data handling. Students will learn to:

    • Utilize control flow statements such as loops and conditionals.
    • Understand variable scope and lifetime.
    • Implement data structures and manipulate data effectively.

    Through practical assignments, students will gain proficiency in writing imperative code and handling complex data scenarios.

  • This module introduces advanced features of programming, focusing on:

    • Procedures and functions and their roles in modular programming.
    • List handling using references and the implications for memory usage.
    • File handling techniques for data input and output.

    Students will engage in hands-on projects that require them to implement these advanced features in practical programming tasks.

  • This module introduces students to the fundamental concepts of problem-solving and programming. Emphasis will be placed on:

    • The importance of algorithm design in computing.
    • Understanding the difference between iterative and recursive approaches.
    • Applying functional programming styles for efficient problem-solving.

    Students will engage in practical exercises to enhance their programming skills, focusing on both imperative and functional styles. Through hands-on projects, they will learn about:

    • Assertions and loop invariants.
    • File handling techniques.
    • Object-oriented programming concepts.

    The module aims to build a strong foundation for further studies in computer science and engineering.

  • This module delves deeper into the principles of designing algorithms. Students will learn about:

    • Step-by-step algorithm development.
    • Common algorithmic patterns and their applications.

    Participants will engage in exercises that allow them to practice implementing algorithms in a programming language of their choice, focusing on:

    • Efficiency and optimization techniques.
    • Analyzing algorithm complexity.

    By the end of this module, students will be able to develop efficient algorithms to solve a variety of problems.

  • This module introduces students to recursive programming. Key topics include:

    • The concept of recursion and its applications.
    • Comparing recursive and iterative solutions.

    Students will work on practical examples to understand:

    • Recursive function implementation.
    • Base cases and recursive cases.

    Through hands-on exercises, learners will develop skills to identify when to use recursion effectively and how to debug recursive functions.

  • This module focuses on the functional programming paradigm, emphasizing:

    • Pure functions and side effects.
    • Higher-order functions and their usage.

    Students will engage in activities that promote:

    • Understanding immutability and its importance.
    • Applying functional techniques to solve problems.

    By the end of this module, learners will be able to implement solutions using a functional programming approach, enhancing their adaptability in various programming environments.

  • This module addresses correctness issues in programming, covering:

    • Methods for verifying program correctness.
    • Common pitfalls and bugs in programming.

    Students will learn about:

    • Testing techniques and strategies.
    • Debugging tools and best practices.

    Through practical exercises, they will apply these concepts to ensure their programs are reliable and error-free.

  • This module explores efficiency issues in programming by examining:

    • The importance of time and space complexity.
    • Profiling and optimizing code.

    Students will participate in exercises that require them to:

    • Analyze their code for performance bottlenecks.
    • Implement optimizations to improve efficiency.

    By the end of this module, learners will be equipped with tools to write efficient code and understand how their algorithms perform.

  • This final module provides an overview of object-oriented programming (OOP) concepts, including:

    • Understanding classes and objects.
    • Encapsulation, inheritance, and polymorphism.

    Students will engage in projects that allow them to:

    • Create their own classes and objects.
    • Implement inheritance and polymorphism in their code.

    By the conclusion of this module, learners will have a solid grasp of OOP principles, preparing them for advanced programming topics.

  • This module focuses on the fundamental concepts of problem-solving and programming. Students will learn:

    • The importance of algorithms in programming.
    • How to differentiate between iterative and recursive styles.
    • Functional programming principles for effective problem-solving.
    • How to verify the correctness of algorithms and programs.
    • Efficiency considerations including time and space complexity.

    By the end of this module, students will have a solid grounding in basic programming concepts, setting a strong foundation for further study in computing.

  • This module delves deeper into programming concepts, emphasizing the imperative style of programming. Key topics include:

    • Understanding assertions and loop invariants.
    • Utilizing procedures and functions to enhance code reusability.
    • Handling lists and references effectively in programming.
    • File handling techniques for data management.
    • Introduction to objects and classes for object-oriented programming.

    Students will engage in hands-on programming tasks that solidify their understanding of these critical programming concepts.

  • This module is designed to reinforce and apply the concepts learned in previous modules through practical exercises and projects. Students will:

    • Work on algorithm design and implementation challenges.
    • Practice debugging techniques to identify and fix errors.
    • Engage in collaborative programming tasks to enhance teamwork skills.
    • Explore advanced features in an imperative programming language.
    • Present their projects to demonstrate understanding and application of programming concepts.

    By completing this module, students will gain confidence in their programming abilities and readiness for more advanced topics.