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Course Content
Module 1: Introduction
0/29
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
15:00
Case Study: Relationship between Computers and Programs
15:00
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
15:00
Case Study: Basic principles of Computers
15:00
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
15:00
Case Study: File Systems
15:00
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
15:00
Case Study: Python Interpreter
15:00
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
15:00
Case Study: Introduction to Binary Computation
15:00
Module based Quiz-I
01:00:00
Module 2: Data Types and Control Structures
0/30
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
15:00
Case Study: Data Types, Variables, Expressions, and Statements
15:00
Topic 2: Operators
03:06
LO1: Describe Operators and their types
10:57
LO2: Explain the Precedence of Operators
03:31
LO3: Knowledge Check
15:00
Case Study: Operators
15:00
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
15:00
Case Study: Assignment Statements
15:00
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
15:00
Case Study: Strings and String Operations
15:00
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
15:00
Case Study: Control Structures: Loops
15:00
Topic 6: Control Structures: Decision
02:40
LO1: Discuss Decision control structures
04:19
LO2: Knowledge Check
15:00
Case Study: Control Structures: Decision
15:00
Module based Quiz-II
01:00:00
Module 3: Modularization and Classes
0/24
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
15:00
Case Study: Standard Modules
15:00
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
15:00
Case Study: Packages
15:00
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
15:00
Case Study: Classes
15:00
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
15:00
Case Study: Functions
15:00
Module Based Quiz-III
01:00:00
Module 4: Exceptions and Data Structures
0/20
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
15:00
Case Study: Data Structures
15:00
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
15:00
Case Study: Error Processing
15:00
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
15:00
Case Study: Exception Raising and Handling
15:00
Module based Quiz-IV
01:00:00
Module 5: Object-oriented Design
0/22
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
15:00
Case Study: Programming types
15:00
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
15:00
Case Study: Object-oriented Programming
15:00
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
15:00
Case Study: Object-oriented Design
15:00
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
15:00
Case Study: Inheritance and Polymorphism
15:00
Module based Quiz-V
01:00:00
Final Exam
0/1
Final Exam
01:15:00
Analyst Programmer_AP103: Fundamentals of AI Programming
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