Analyst Programmer_AP103: Fundamentals of AI Programming (Supreme)

About Course

This course provides an entry point into:

The core principles of programming, encompassing an
understanding of its nature and functionality
Binary computation
Problem-solving strategies
Algorithm construction
Procedural and data abstractions
Addressing program design
Debugging, testing, and documentation

Upon successful completion of this course, the student will have demonstrated the ability to:

Understand basic principles of computers
Understand the basics of binary computation
Understand the programming basics (operations, control structures, data types, etc.)
Readily use the Python programming language
Apply various data types and control structure
Understand class inheritance and polymorphism
Understand the object-oriented program design and development
Understand and begin to implement code

Course Content

Module 1: Introduction

Topic 1: Relationship between Computers and Programs

03:40
LO1: Describe Algorithm and its characteristics

12:41
LO2: Define Pseudocode and differentiate between pseudocode and programs

04:39
LO3: Explain the Flowchart and its symbols used

08:21
LO4: Knowledge Check
Case Study: Relationship between Computers and Programs
Topic 2: Basic principles of Computers

03:26
LO1: Articulate the Core Architecture of a Computer System

02:40
LO2: Differentiate between Data and Information in a Computational Context

04:00
LO3: State the Fundamental Principles of Algorithms in AI

06:40
LO4: Knowledge Check
Case Study: Basic principles of Computers
Topic 3: File Systems

03:21
LO1: Explain the fundamental concepts and components of a File system

07:02
LO2: Define and classify standard File systems

09:30
LO3: Knowledge Check
Case Study: File Systems
Topic 4: Python Interpreter

02:57
LO1: Explain Python IDE and understand the Role of the Python Interpreter

09:09
LO2: Describe the Input and Output operations in Python

02:10
LO3: Knowledge Check
Case Study: Python Interpreter
Topic 5: Introduction to Binary Computation

03:06
LO1: Describe Number Systems and data storage

04:36
LO2: Explain Binary Arithmetic operations

05:33
LO3: Discuss Binary data representation

05:01
LO4: Knowledge Check
Case Study: Introduction to Binary Computation
Module based Quiz-I

Module 2: Data Types and Control Structures

Topic 1: Data Types, Variables, Expressions, and Statements

02:58
LO1: Elaborate on Variables, Expressions, and Statements

02:36
LO2: Name and describe Values and Data Types

03:40
LO3: Knowledge Check
Case Study: Data Types, Variables, Expressions, and Statements
Topic 2: Operators

03:06
LO1: Describe Operators and their types

10:57
LO2: Explain the Precedence of Operators

03:31
LO3: Knowledge Check
Case Study: Operators
Topic 3: Assignment Statements

03:23
LO1: Understand the Purpose and Syntax of Assignment Statements

02:08
LO2: Apply Assignment Statements with Different Data Types

05:04
LO3: Knowledge Check
Case Study: Assignment Statements
Topic 4: Strings and String Operations

04:12
LO1: Describe a Collection Data Type, Indexing, String Methods, and Slicing

10:08
LO2: Discuss Traversal Patterns and the in and not-in Operators

02:11
LO3: Knowledge Check
Case Study: Strings and String Operations
Topic 5: Control Structures: Loops

03:55
LO1: Elaborate the for loop and the while statement

11:38
LO2: Explain Applications, Patterns, Sentinels, and Input Validation

04:28
LO3: Knowledge Check
Case Study: Control Structures: Loops
Topic 6: Control Structures: Decision

02:40
LO1: Discuss Decision control structures

04:19
LO2: Knowledge Check
Case Study: Control Structures: Decision
Module based Quiz-II

Module 3: Modularization and Classes

Topic 1: Standard Modules

02:36
LO1: Define Modules and Getting Help

03:51
LO2: Compare and contrast the math module and the random module

05:52
LO3: Knowledge Check
Case Study: Standard Modules
Topic 2: Packages

02:59
LO1: Define the concept of a Package in Python

02:51
LO2: List standard Python packages used in AI, such as NumPy, Pandas, etc

03:26
LO3: Demonstrate the Install and Import process of Python packages

02:01
LO4: Knowledge Check
Case Study: Packages
Topic 3: Classes

02:52
LO1: Define a Class and explain the components of a Class

04:30
LO2: Explain accessing of Class members via Objects

05:26
LO3: Knowledge Check
Case Study: Classes
Topic 4: Functions

03:20
LO1: Define Functions, Arguments, and Unit Testing

09:29
LO2: Discuss Local Variables and Parameters

01:26
LO3: Interpret the Accumulator Pattern and Program Development

02:02
LO4: Understand the Nesting Functions, Flow of Execution, and using the main()

03:03
LO5: Knowledge Check
Case Study: Functions
Module Based Quiz-III

Module 4: Exceptions and Data Structures

Topic 1: Data Structures

04:36
LO1: Define and differentiate between common Data Structures used in AI Programming

08:47
LO2: Discuss Arrays and their applications in Python

08:17
LO3: Describe Lists and their applications in Python

09:26
LO4: Explain Dictionaries and their applications in Python

04:48
LO5: Knowledge Check
Case Study: Data Structures
Topic 2: Error Processing

03:45
LO1: Define common types of Errors encountered in AI Programming

05:11
LO2: Compare and contrast Syntax errors, Runtime errors, and Logical errors

03:50
LO3: Knowledge Check
Case Study: Error Processing
Topic 3: Exception Raising and Handling

04:06
LO1: Describe Exception Handling and Flow-of-control

08:09
LO2: Explain Principles of using Exceptions

01:54
LO3: Discuss Catching Multiple Specific Exceptions

02:59
LO4: Assess Clean-up after Exceptions

02:27
LO5: Knowledge Check
Case Study: Exception Raising and Handling
Module based Quiz-IV

Module 5: Object-oriented Design

Topic 1: Programming types

02:40
LO1: Define and differentiate between common Programming paradigms

09:29
LO2: Evaluate the strengths and weaknesses of different paradigms in the context of AI

09:56
LO3: Knowledge Check
Case Study: Programming types
Topic 2: Object-oriented Programming

02:52
LO1: Explain core Object-oriented Programming concepts

09:00
LO2: Discuss the merits and demerits of OOPs

03:43
LO3: Knowledge Check
Case Study: Object-oriented Programming
Topic 3: Object-oriented Design

02:59
LO1: Describe the principles of Object-oriented design

08:25
LO2: Discuss the merits and demerits of OODs

03:08
LO3: Knowledge Check
Case Study: Object-oriented Design
Topic 4: Inheritance and Polymorphism

02:44
LO1: Explain Inheritance with suitable examples

12:36
LO2: Explain Polymorphism with suitable examples

10:00
LO3: Discuss the merits and demerits of Inheritance and Polymorphism

03:50
LO4: Knowledge Check
Case Study: Inheritance and Polymorphism
Module based Quiz-V

About Course

Course Content

Module 1: Introduction

Topic 1: Relationship between Computers and Programs

LO1: Describe Algorithm and its characteristics

LO2: Define Pseudocode and differentiate between pseudocode and programs

LO3: Explain the Flowchart and its symbols used

LO4: Knowledge Check

Case Study: Relationship between Computers and Programs

Topic 2: Basic principles of Computers

LO1: Articulate the Core Architecture of a Computer System

LO2: Differentiate between Data and Information in a Computational Context

LO3: State the Fundamental Principles of Algorithms in AI

LO4: Knowledge Check

Case Study: Basic principles of Computers

Topic 3: File Systems

LO1: Explain the fundamental concepts and components of a File system

LO2: Define and classify standard File systems

LO3: Knowledge Check

Case Study: File Systems

Topic 4: Python Interpreter

LO1: Explain Python IDE and understand the Role of the Python Interpreter

LO2: Describe the Input and Output operations in Python

LO3: Knowledge Check

Case Study: Python Interpreter

Topic 5: Introduction to Binary Computation

LO1: Describe Number Systems and data storage

LO2: Explain Binary Arithmetic operations

LO3: Discuss Binary data representation

LO4: Knowledge Check

Case Study: Introduction to Binary Computation

Module based Quiz-I

Module 2: Data Types and Control Structures

Topic 1: Data Types, Variables, Expressions, and Statements

LO1: Elaborate on Variables, Expressions, and Statements

LO2: Name and describe Values and Data Types

LO3: Knowledge Check

Case Study: Data Types, Variables, Expressions, and Statements

Topic 2: Operators

LO1: Describe Operators and their types

LO2: Explain the Precedence of Operators

LO3: Knowledge Check

Case Study: Operators

Topic 3: Assignment Statements

LO1: Understand the Purpose and Syntax of Assignment Statements

LO2: Apply Assignment Statements with Different Data Types

LO3: Knowledge Check

Case Study: Assignment Statements

Topic 4: Strings and String Operations

LO1: Describe a Collection Data Type, Indexing, String Methods, and Slicing

LO2: Discuss Traversal Patterns and the in and not-in Operators

LO3: Knowledge Check

Case Study: Strings and String Operations

Topic 5: Control Structures: Loops

LO1: Elaborate the for loop and the while statement

LO2: Explain Applications, Patterns, Sentinels, and Input Validation

LO3: Knowledge Check

Case Study: Control Structures: Loops

Topic 6: Control Structures: Decision

LO1: Discuss Decision control structures

LO2: Knowledge Check

Case Study: Control Structures: Decision

Module based Quiz-II

Module 3: Modularization and Classes

Topic 1: Standard Modules

LO1: Define Modules and Getting Help

LO2: Compare and contrast the math module and the random module

LO3: Knowledge Check

Case Study: Standard Modules

Topic 2: Packages

LO1: Define the concept of a Package in Python

LO2: List standard Python packages used in AI, such as NumPy, Pandas, etc

LO3: Demonstrate the Install and Import process of Python packages

LO4: Knowledge Check

Case Study: Packages

Topic 3: Classes

LO1: Define a Class and explain the components of a Class

LO2: Explain accessing of Class members via Objects

LO3: Knowledge Check

Case Study: Classes