Schedule

Week	Lecture (Mondays)	Labs	Homework DataCamp.com (Due on Sunday Night)
Module 1: Introductions to Computers and Programming: Hardware, Software, Data, Coding
1 8/31	Introduction: Syllabus, objectives, academic integrity, and policies. Lecture 1: Introduction to Computers and Programming (Part I) Introduction Hardware and software	Lab 1: How Computers Work	Introduction to Python Chapter 1: Python Basics Chapter 2: Python Lists
2 9/7**	** No classes, the college is closed
3 9/14	Lecture 2: Chapter 1 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	Lab 2: Hello Python (Variables and Data Types)	Introduction to Python Chapter 3: Functions and Packages
Module 2: Data Types, Functions, and Sequences
4 9/21	Lecture 3: Variables and Data Types Variables Data Types Operators Performing calculations	Lab 3: Machine Code Binary Number System Binary to Decimal Decimal to Binary	Introduction to Python Chapter 4: Numpy
5 9/28* 9/29**	* Monday 9/28-No class, College Closed Tuesday 9/29-Following Monday schedule Exam 1: Module 1 Lecture 4**: Sequences: Strings and Lists, and Mapping: Dictionaries Strings Lists Dictionaries Sequence operations: index, slicing, append, delete	Lab 4: Sports	Intermediate Python Chapter 1: Matplotlib
6 10/5	Lecture 5: Functions (Part I) Introduction to Functions Calling Functions Arguments The Random and Math Module Methods	Lab 5: Reusability	Intermediate Python Chapter 2: Dictionaries & Pandas
7 10/12* 10/14**	* Monday 10/12- No class, College Closed Wednesday 10/14-Following Monday schedule Lecture 6**: Functions (Part II) User-Defined Functions Designing a Program to Use Functions Parameters and arguments Scope: Local and Global Variables	Lab 6: Old McDonalds	Intermediate Python Chapter 3: Logic, Control Flow and Filtering
Module 3: Control Flow Structures: Decision Structures
8 10/19	Exam 2: Module 2 Lecture 7: Decision structures and Boolean logic Boolean Expressions The if Statement The if-else Statement Comparing Strings	Lab 7: Navigating	Intermediate Python Chapter 4: Loops
9 10/26	Lecture 8: Nested Decision structures Nested Decision Structures and the if-elif-else Statement	Lab 8: The Weather	Intermediate Python Chapter 5: Case Study: Hacker Statistics
10 11/2	Lecture 9: Complex Boolean Expression Logical Operators Complex Boolean Expressions	Lab 9: The Alarm System	Python Data Science Toolbox (Part 1) Chapter 1: Writing your own functions
Module 4: Control Flow Structures: Repetition Structures
11 11/9	Exam 3: Module 3 Lecture 10: Repetition Structures: While Loop Introduction to Repetition Structures The while loop: A Condition-controlled loop	Lab 10: Guess the Number	Python Data Science Toolbox (Part 1) Chapter 2: Default arguments, variable-length arguments and scope
12 11/16	Lecture 11: Repetition Structures: For Loop The for Loop: A count-controlled loop Calculating a running total Sentinels	Lab 11: Listed	Python Data Science Toolbox (Part 1) Chapter 3: Lambda functions and error-handling
13 11/23	Lecture 12: Repetition Structures: Nested Loops Input Validation Loops Nested Loops	Lab 12: In the Loop	Python Data Science Toolbox (Part 2) Chapter 1: Using iterators in PythonLand
Module 5: Computer Engineering, Data Science, and Artificial Intelligence
14 11/30	Exam 4: Module 4 Lecture 13: Computer Engineering: Logic gates and binary system (link to EMT1250) Basic logic gates, truth tables, final exam review	Lab 13: Logic Lab Simulator	Python Data Science Toolbox (Part 2) Chapter 2: List comprehensions and generators
15 12/7	Lecture 14: Data Science and AI Data Science AI/Machine Learning Industrial Revolution	Lab 14: Machine Learning	Python Data Science Toolbox (Part 2) Chapter 3: Bringing it all together! Python Programming Assessment
16 12/14	Final Exam

Week

Lecture (Mondays)

Labs

Homework DataCamp.com (Due on Sunday Night)

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

8/31

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

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

Introduction
Hardware and software

Lab 1: How Computers Work

Introduction to Python

Chapter 1: Python Basics
Chapter 2: Python Lists

9/7**

** No classes, the college is closed

9/14

Lecture 2: Chapter 1 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

Lab 2: Hello Python (Variables and Data Types)

Introduction to Python

Chapter 3: Functions and Packages

Module 2: Data Types, Functions, and Sequences

9/21

Lecture 3: Variables and Data Types

Variables
Data Types
Operators
Performing calculations

Lab 3: Machine Code

Binary Number System

Binary to Decimal

Decimal to Binary

Introduction to Python

Chapter 4: Numpy

9/28*

9/29**

* Monday 9/28-No class, College Closed

** Tuesday 9/29-Following Monday schedule

Exam 1: Module 1

Lecture 4: Sequences: Strings and Lists, and Mapping: Dictionaries

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

Lab 4: Sports

Intermediate Python

Chapter 1: Matplotlib

10/5

Lecture 5: Functions (Part I)

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

Lab 5: Reusability

Intermediate Python

Chapter 2: Dictionaries & Pandas

10/12*

10/14**

* Monday 10/12- No class, College Closed

** Wednesday 10/14-Following Monday schedule

Lecture 6: Functions (Part II)

User-Defined Functions
Designing a Program to Use Functions
Parameters and arguments
Scope: Local and Global Variables

Lab 6: Old McDonalds

Intermediate Python

Chapter 3: Logic, Control Flow and Filtering

Module 3: Control Flow Structures: Decision Structures

10/19

Exam 2: Module 2

Lecture 7: Decision structures and Boolean logic

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

Lab 7: Navigating

Intermediate Python

Chapter 4: Loops

10/26

Lecture 8: Nested Decision structures

Nested Decision Structures and the if-elif-else Statement

Lab 8: The Weather

Intermediate Python

Chapter 5: Case Study: Hacker Statistics

11/2

Lecture 9: Complex Boolean Expression

Logical Operators
Complex Boolean Expressions

Lab 9: The Alarm System

Python Data Science Toolbox (Part 1)

Chapter 1: Writing your own functions

Module 4: Control Flow Structures: Repetition Structures

11/9

Exam 3: Module 3

Lecture 10: Repetition Structures: While Loop

Introduction to Repetition Structures
The while loop: A Condition-controlled loop

Lab 10: Guess the Number

Python Data Science Toolbox (Part 1)

Chapter 2: Default arguments, variable-length arguments and scope

11/16

Lecture 11: Repetition Structures: For Loop

The for Loop: A count-controlled loop
Calculating a running total
Sentinels

Lab 11: Listed

Python Data Science Toolbox (Part 1)

Chapter 3: Lambda functions and error-handling

11/23

Lecture 12: Repetition Structures: Nested Loops

Input Validation Loops
Nested Loops

Lab 12: In the Loop

Python Data Science Toolbox (Part 2)

Chapter 1: Using iterators in PythonLand

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

11/30

Exam 4: Module 4

Lecture 13: Computer Engineering: Logic gates and binary system (link to EMT1250)

Basic logic gates, truth tables, final exam review

Lab 13: Logic Lab Simulator

Python Data Science Toolbox (Part 2)

Chapter 2: List comprehensions and generators

12/7

Lecture 14: Data Science and AI

Data Science
AI/Machine Learning
Industrial Revolution

Lab 14: Machine Learning

Python Data Science Toolbox (Part 2)

Chapter 3: Bringing it all together!

Python Programming Assessment

12/14

Final Exam

Schedule

The OpenLab at City Tech:A place to learn, work, and share

Support

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Creative Commons

The OpenLab at City Tech:A place to learn, work, and share

Support

Accessibility

Copyright

Creative Commons