Schedule

Module 1: Introductions to Computers and Programming: Hardware, Software, Data, Coding

Introduction: Syllabus, objectives, academic integrity, and policies.

Lecture 1: Introduction to Computers and Programming (Part I)

• Introduction
• Hardware and software

2

Lecture 2: Introduction to Computers and Programming (Part II)

• How computers store data
• How a program works
• Using Python

This video can help to understand section 1.3

Module 2: Data Types, Functions, and Sequences

3

9/23

Lecture 3: Variables and Data Types

• Variables
• Data Types
• Operators
• Performing calculations

4

9/30

• Strings
• Lists
• Dictionaries
• Sequence operations: index, slicing, append, delete

5

10/7

Lecture 5: Functions (Part I)

• Introduction to Functions
• Calling Functions
• Arguments
• The Random and Math Module
• Methods

6  10/14*

Exam 1:  Module 1 Intro to Python

Lecture 6: Control Structures

Module 3: Control Flow Structures: Decision Structures

7

10/21

Lecture 7: Decision structures and Boolean logic

• Boolean Expressions
• The if Statement
• The if-else Statement
• Comparing Strings

8

10/28

Lecture 8: Nested Decision Structures

• Nested Decision Structures and the if-elif-else Statement

9

11/4

Lecture 9: Complex Boolean Expression

• Logical Operators
• Complex Boolean Expressions

Module 4: Control Flow Structures: Repetition Structures

10

Lecture 10: Repetition Structures:

While Loop

Introduction to Repetition Structures

The while loop: A Condition-controlled loop

11

12

11/25

13 12/2

Module 5: Computer Engineering, Data Science, and Artificial Intelligence

14

12/9

• Basic logic gates, truth tables, final exam review

12/16

• Final Exam