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Training and Lectures on Key Computer Science Topics

 

Computer Science Topics

Here are multimedia course training materials with animations to help you learn key Computer Science topics. The eight learning modules are: Algorithms, Artificial Intelligence, Data Structures, Machine Architecture, Number Systems, Operating Systems, Programming Languages, and Software Engineering. Each module consists of a set of lessons with animations and interactive components including review questions. The work consists of 44 animations, 2,008 files, and 255 folders, totaling 15.5MB. The animations and interactive components are expected to improve the effectiveness of learning the covered topics. Each module consists of a set of lessons and review questions which test the important concepts from the lesson and provide practice problems, along with embedded interactive components implemented as Flash animations or Java applets.


Algorithms

The following lessons introduce the topic of algorithms by discussing the characteristics of a good algorithm and comparing several sorting algorithms to illustrate algorithm efficiency and algorithm analysis.

  1. Introduction to Algorithms
  2. The Definition of an Algorithm

  3. Specifying Algorithms

  4. Sorting Algorithms

    1. Basic Operations

    2. The Simple Card Sort

    3. The Simple Sort

    4. The Insertion Card Sort

    5. The Insertion Sort

    6. The Selection Card Sort

    7. The Selection Sort

  5. Algorithm Analysis

    1. Space Efficiency

    2. Time Efficiency

    3. Comparison of Sorts

    4. Analysis of Selection Sort

    5. Analysis of Other Sorts

    6. Worst Case Comparison

    7. Order Notation

  6. Summary


Artificial Intelligence

The following lessons introduce the topic of artificial intelligence (AI) in computers by surveying several of the major application domains of AI. These application domains include language processing, visual processing, game playing, expert systems, and neural networks.

  1. Introduction to Artificial Intelligence
  2. Humans Versus Computers

  3. Natural Language Processing

  4. Game Playing

  5. Visual Processing

  6. Neural Networks

  7. Expert Systems

  8. Summary


Data Structures

The following lessons introduce the topic of data structures by comparing how data is actually stored in a computer with the abstract structures that programmers use. To illustrate this comparison, several basic data structures such as lists, stacks, and queues are described.

  1. Introduction to Data Structures
  2. Computer Memory

  3. Pointers and Indirection

  4. Linear Data Structures

    1. Ordered List: The Abstract View

    2. Ordered List: The Implementation View

    3. Stacks: The Abstract View

    4. Stacks: The Implementation View

    5. Queues: The Abstract View

    6. Queues: The Implementation View

  5. Nonlinear Data Structures

    1. Multidimensional arrays

    2. Trees

    3. Graphs

  6. Abstract Data Types

  7. Summary


Machine Architecture

The following lessons introduce the topic of machine architecture by explaining data storage in computers, gates and circuits, and the central processing unit.

  1. Introduction to Machine Architecture
  2. Data Storage

  3. Gates

  4. Circuits

  5. The Central Processing Unit

  6. Summary


Number Systems

The following lessons introduce the topic of number systems with a focus on binary numbers and binary arithmetic.

  1. Introduction to Binary Numbers
  2. Understanding Number Systems

    1. Binary to Decimal Conversion

    2. Decimal to Binary Conversion

    3. Converting Fractions

  3. Binary Arithmetic

    1. Binary Addition

      1. Adding Two Binary Numbers

      2. Adding Multiple Binary Numbers

      3. Adding Binary Fractions

    2. Binary Subtraction

    3. Binary Multiplication

    4. Binary Division

  4. Signed numbers

    1. One's complement

    2. Two's complement

  5. Subtraction with Signed Numbers

    1. Subtraction with One's complement

    2. Subtraction with Two's complement

  6. Hexadecimal and Octal Numbers

  7. Comparing Number Systems

  8. Summary


Operating Systems

The following lessons introduce the topic of operating systems in computers by discussing the main function of operating systems and investigating several key parts of operating systems such as memory and file managers.

  1. Introduction to Operating Systems
  2. Resources

  3. Processes

  4. Synchronization

  5. Deadlock

  6. Memory Allocation

  7. Virtual Memory

  8. File Management

  9. Summary


Programming Languages

The following lessons introduce the topic of programming languages by discussing the five important concepts in a computer language: identifiers, expressions, control structures, input/output, and abstraction. The final lessons illustrate these concepts with an example program implementing the selection sort algorithm.

  1. Introduction to Programming Languages
  2. Identifiers

  3. Assignment

  4. Expressions

  5. Boolean Expressions

  6. Data Types

  7. Control Structures

    1. Selection

    2. Loops

    3. Subprograms

    4. Parameters

  8. Input/Output

  9. Programs

  10. Summary


Software Engineering

The following lessons introduce the topic of software engineering by comparing two important models of the software life cycle, the Waterfall Model and the Spiral Model, and two paradigms for designing software, the Procedural Paradigm and the Object-Oriented Paradigm (OOP).

  1. Introduction to Software Engineering
  2. Software Life Cycle Models

    1. The Waterfall Model

    2. The Spiral Model

  3. Software Quality Characteristics

  4. Procedural Paradigm

  5. Object Oriented Paradigm

  6. Classes and Inheritance

  7. Comparison of Paradigms

  8. Summary



Mark's Lecture Material

These training materials are very well presented in an understandable and coherent way. They cover and C Programming, Operating Systems, Unix, Systems Administration, Computer Networking, and Computer Security

C Programming Tutorial

A Short Introduction to Operating Systems (pdf)

The Unix Programming Environment (pdf)


Network and System Administration 1:


Computer Security:

 

 


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