| Week | Topic(s) | Slide(s) | Additional Resources |
|---|---|---|---|
| Week 0I 03.10 |
Course
Information and Introduction |
Lec 1: pdf | -
https://www.youtube.com/watch?v=ll5LY7wI_Xc - https://www.youtube.com/watch?v=kjgFdfBYY9Q - https://www.youtube.com/watch?v=T-4pgL1rNAo - https://www.youtube.com/watch?v=iBWixWwn5Dk - a href="http://aima.cs.berkeley.edu/"> http://aima.cs.berkeley.edu/ |
| Week II 10.09 |
Chapter 1
- Introduction to Computers, Programs, and Python [Liang] Chapter 1 - General Introduction [Think Python : Interactive Edition] |
Ch1 :
ppt |
pdf Ch 1 : html |
Introduction to How Computers Work - https://www.khanacademy.org/computing/computer-science/how-computers-work2 - https://bjc.edc.org/bjc-r/topic/topic.html?topic=nyc_bjc/6-how-computers-work.topic&course=bjc4nyc.html&novideo&noassignment Programming Languages - Languages in GitHub - https://madnight.github.io/githut/ - Tiobe Index - https://www.tiobe.com/tiobe-index/ - https://www.tutorialspoint.com/python/python_overview.htm |
| Week II 10.09 |
Chapter 2
- Elementary Programming Chapter 2 - Simple Pyhon Data |
Ch 2 :
ppt |
pdf Ch 2: hhtml |
This week lecture will be online on
TEAMS (Teams Code: 1ask5mg). realPython - Operators and Expressions in Python (html/a>) w3schools- Comments, Variables, Datatypes, Numbers (html) learnPython - Variables and Types (html) Python for Computational Science and Engineering (html) Python for Computational Science and Engineering - Ch 2 (html) Jupyter Notebooks for Variables and Expressions (ipynb) |
| Week III 17.10 |
Chapter 3: Mathematical Functions,
Strings, and Objects Chapter 4 - Python Turtle Graphics [Think Python : Interactive Edition] Chapter 5 - Python Modules [Think Python : Interactive Edition] |
Ch 3:
ppt |
pdf Ch 4: html Ch 5: html |
w3schools - Strings (html) Turtle Tutorials: - Tutorial I (html) - Tutorial II (html) -The Beginner's Guide to Python Turtle (html) Examples in Ch 3 (html) |
| Week IV 24.10 |
Chapter 4 - Selections Chapter 7 - Selection [Think Python : Interactive Edition] |
Ch 4:
ppt |
pdf Ch 7: html |
w3schools - If ... Else (html) programiz - Python Flow Control (html) Python for Computational Science and Engineering - Ch 3 (html) Python for Computational Science and Engineering - Ch 4 (html) Python for Computational Science and Engineering - Ch 5 (html) Python for Computational Science and Engineering - Ch 6 (html) Examples in Ch 4 (html) |
| Week V 31.10 |
Chapter 5 - Loops Chapter 8 - More About Iteration [Think Python : Interactive Edition] |
Ch 5:ppt
| pdf Ch 8: html |
w3schools - Python While Loops (html)
programiz - Python For loops (html) |
| Week VI 07.11 |
Chapter 6 - Functions
Chapter 6 - Functions [Think Python : Interactive Edition] |
Ch 6: ppt | pdf
Ch 6: html |
w3schools - Python Functions (html)
programiz - Python Functions (html) |
| Week VII 14.11 |
Chapter 7 - Object-Oriented
Programming Chapter 17 - Classes and Objects - the Basics |
Ch 7: ppt | pdf
Ch 17: html |
w3schools - Python Classes/Objects (html)
programiz - Python Object Oriented Programming (html) |
| Week VIII | Midterm Week | ||
| Week IX 28.11 |
Chapter 10
- Lists Chapter 10 - Lists |
Ch 10: ppt | pdf Ch 10: html |
w3schools - Python Lists (html) programiz - Lists (html) Examples in Ch 10 (html) |
| Week X 05.12 |
Chapter 11 - Lists for Multi dimensional Data Chapter 12 - Inheritance and Class Design Chapter 10 - Nested Lists Chapter 19 - Inheritance |
Ch 11:
ppt |
pdf Ch 12: ppt | pdf Ch 10: html Ch 19: html |
w3schools - Python Inheritance (html) programiz - Inheritance (html) |
| Week XI 12.12 |
Chapter 13 - Files and Exception
Handling Chapter 11 - Files Chapter 14 - Tuples, Sets, and Dictionaries Chapter 12 - Dictionaries |
Ch 13:
ppt |
pdf Ch 11: html Ch 14: ppt | pdf Ch 12: html |
w3schools - File Handling (html) programiz - File I/O (html) w3schools - Try Except (html) programiz - Exception Handling (html) programiz - Tuple (html), Set (html), Dictionary (html) w2schools - Tuples (html), Sets (html), Dictionaries (html) |
| Week XII 19.12 |
- AI, AI Applications, Models, Process - Python libraries for data manipulation and analysis: Numpy and Pandas - NumPy Tutorial (html) - Pandas Tutorial (html) - Data Loading, Storage, and File Formats - Wes McKinney (html, github) |
AI 1: pdf |
- Tutprialspoint NumPy Tutorial (html)
|
| Week XIII 26.12 |
- Exploratory Data Analysis (EDA) - Examples - Complete Exploratory Data Analysis for Insurance (html, local copy, insurance.csv) - Exploratory Data Analysis for the Healthcare (html, github Link, local copy, data.csv) - Descriptive Statistics (github link, local copy,fortune500.csv) |
AI 2: pdf | -https://www.kaggle.com/code/imoore/intro-to-exploratory-data-analysis-eda-in-python - https://www.geeksforgeeks.org/exploratory-data-analysis-in-python/ - https://www.geeksforgeeks.org/quick-guide-to-exploratory-data-analysis-using-jupyter-notebook/ - https://deepnote.com/app/code-along-tutorials/A-Beginners-Guide-to-Exploratory-Data-Analysis-with-Python-f536530d-7195-4f68-ab5b-5dca4a4c3579 - https://medium.com/analytics-vidhya/introduction-to-exploratory-data-analysis-for-image-text-based-data-1179e194df3f - https://github.com/henrhoi/image-classification/blob/master/feature_extraction_and_exploratory_data_analysis.ipynb - https://www.kaggle.com/code/faldoae/exploratory-data-analysis-eda-for-image-datasets - https://www.kaggle.com/code/ligtfeather/eda-and-cnn-for-image-classification - 6 Essential Data Visualization Python Libraries - Matplotlib, Seaborn, Bokeh, Altair, Plotly, GGplot (html) - Tutorial: Comparing 7 Tools For Data Visualization in Python (html) - matplolib.prg tutorials (html) |
| Week XIV 02.01 |
- Machine Learning & Model
Development - Machine Learning: Classification, Regression and Clustering from Ch15 of Deitel Book (html) - Examples - Obesity Level Prediction (html, dataset1) - Heart Desease Detection (html, dataset2) |
AI 3: pdf |
- scikit-learn Machine Learning in Python (html) - Introduction to k-Nearest Neighbors: A powerful Machine Learning Algorithm (with implementation in Python & R) (html) - K Nearest Neighbors - Classification (html) - KNN Algorithm - Finding Nearest Neighbors (html) - Regression Algorithms - Overview (html) - Commonly used Machine Learning Algorithms (html) - K-Means (html) - The Most Comprehensive Guide to K-Means Clustering (html) - Dimensionality Reduction Algorithms: Strengths and Weaknesses (html) - Choosing the right estimator (html) |
| Week XV 09.01 |
- Machine Learning, Model
Development and Review - Machine Learning: Classification, Regression and Clustering from Ch15 of Deitel Book (html) |
||
| ADDITIONAL MATERIAL (NOT COVERED) | |||
| Chapter 8 - More on Strings and Special Methods | Ch 8: ppt | pdf
Ch 9: html |
w3schools - Python Strings (html)
programiz - Pyhton Strings (html) |
|
|
Chapter 9 -
GUI Programming Using Tkinter Chapter 15 - GUI and Event Driven Programming |
Ch 9: ppt | pdf Ch 9: html |
Python GUI Examples (Tkinter Tutorial) (html) Python Tkinter (html) Python - GUI Programming (Tkinter) (html) Introduction To GUI With Tkinter In Python (html) Tkinter Tutorial For Beginners (html) Tkinter tutorial - zetcode (html) |
|
| Chapter 15 - Recursion
Chapter 16 - Recursion |
Ch 15:
ppt |
pdf Ch 16: html |
programiz - Recursion (html)
realpython (html) Examples in Ch 14,15 (html) |
|