Instructor: Reza Rezazadegan
Venue: Shiraz University, Department of Mathematics and Computer Science
Programming languages: Python and C
Course webpage: www.dreamintelligent.com/advanced-programming-2025
Course Github: https://github.com/rezareza007/advanced-prog
Textbooks:
- Charles Severance, Python For Everybody
- Martelli, et al., Python in a Nutshell, 4th edition, 2023
- Kernighan, Ritchie, The C programming language
TAs: Mojtaba Naji (@Shayan8488), Mehran Moein, R. Khademi
Course evaluation
- Homework (1 point)
- Presentation (3 points)
- Project (4 points)
- Midterm exam (6 points)
- Final exam (6 points)
Course syllabus
Review of Python
- The
forloop andenumerate - String methods, keyboard input
- List comprehension
- Sets
- Iterators and
yield - References vs copies in Python
Other Python Topics
- File IO
- Exception handling
- Debugging
Object Oriented Programming in Python
- Object Oriented Programming
- Operator overloading
More topics
- Modular programming
- AI-assisted programming
C Programming
- Variables and types
- Control flow
- Functions
- Pointers and arrays
- Memory allocation
- C structures
- Data structures in C (linked list, etc.)
- Sorting
- File IO
Programming environment
We’ll use Visual Studio Code. You will need to install the extension for Jupyter Notebooks.
You can also use the PyDroid3 app on your cellphone.
Presentation topics
Each presentation is performed by groups of 3 students. In a presentation a programming concept or tool is introduced, together with code and examples to showcase the use of the tool. Students must be able to explain and showcase the usage of the programming tool and answer the questions that arise.
- C++ standard library
- The Rust programming language
- Git
- MPI (Message Passing Interface)
- MySQL database
- Web programming with Flask or Django
- Pandas library
- GUI with Tkinter or Kivy
- Selenium
- Scrapy (Web scraping)
- Parallel programming with Python
- Regex
- Network programming
- Spacy: for Natural Language Processing
Project
Course project involves scraping cryptocurrency prices from a website, storing them in a CSV file and then using a time series forecasting model to predict future prices. Students will work in groups of 2 and will receive hints on how to parse HTML data and on using the time series model.
Students will be required to defend their project.