Administration and setup#
Welcome to TAU’s Hybrid Computer Science and Programming Course!#
This is a programming course, in which we also touch in computer science conecpts
A lot of hands-on experience
No other way to learn how to program
The course is taught in a hybrid mode
a mix of self-learning online materials and in-person guidance
So what does a hybrid means in practice?#
Lectures
Flipped classroom
Exam-like questions
Recitations
Practical sessions in a standard classroom
Assignment-like questions
Bring your own laptop the class - highly recommended!
Lab hours
Extra help with the assignments
Technical support (Anaconda, Pycharm, etc.)
Use it
Office hours
Extra help with the course material
The course staff is here to support you
Resources:#
Course website
Homework submission guidelines
Lectures and recitations - Jupyter book
Course website: http://courses.cs.tau.ac.il/pyProg/pyprog4chem/2526b/#
Administration (Course staff contact info, office hours lab hours etc.)
Assignment instructions
Submission guidelines
Installation guides
External resources
Other useful link
Moodle: https://moodle.tau.ac.il/course/view.php?id=351110001#
HW submission and grades
Announcements
Topics learned in each week
Assignment forums
Course material forums
Forums are for student discussions regarding topics related to the forum.
Course staff may also participate in the forums but will not respond to every post
Jupyter book#
A website platform that wrapping up our course material
Contains texts, videos, code examples, quizzes and more
Let’s try it out together
Assignments#
Guidelines#
Coding exercises
A single Python file per assignment
Submission via Moodle
5 exercises
Must pass at least 4 of 5 assignments to pass the course.
Average of best 4 exercises is 25% of the final grade
5 grace days
Submission in singles
No cheating!
Full list of assignment guidelines in the course website under the Assignments tab
Where can I work?#
Anywhere from your own laptops
Computer labs - with the course lab instructor!
Time and location appear in the course website
Back-up with email / disk-on-key/ dropbox / etc. !
Lab instructors#
Two course staff members
present in the lab (times and locations are available in the course website)
helps with technical issues (enviroment installations, notebooks uploading your HW etc.)
helps with homework assignments
use it!!
Environment settings - Anaconda#
In this course we use Python 3.11.x
Do not work with Python 2.7/3.6/3.12 etc.
We will use Python through Anaconda
A bundle of programs and tools installed together
Simple installation process
Helpful in order to manually install numerous tool
Your code must run under Anaconda configurations with Python 3.11
Here you can find the official guide for installing Anaconda
Code editor - Pycharm#
You write code in a Code editor (Also called intergrated development environment, or IDE)
A program in which you can write code
Contains other functionalities that help you write your code correctly and fast
In this course, the staff denomstrate the support the Pycharm IDE, but you can use another one, if you prefer
Pycharm user manuals#
Here you can find user guide for installing and using Pycharm
In Hebrew with screeshots
Note that the screens may look slightly different across different PyCharm versions.
Importantly, recent versions of Pycharm uses AI assistant, which should be disabled
This assistant might introduce code that do not comply with comply with the assignment guidelines
You can disable it by following this guide
Live demonstration of Pycharm#
Pycharm’s Python console#
Individual statements
Convenient for testing short code snippets
Pycharm file editor#
Writing many code lines
Execution of complete programs
Helpful tools for finding errors in the code, or debugging
Download, setup and submission of assignments#
Assigment are provided as downloadable zip file from the course website
The zip contains:
A PDF with the assignment instructions
A Python file (also called “code skeleton”)
Possibly other auxiliary files (relevant for later assignments)
Extract the zip file
Place all the extracted files into the PyCharm project folder of the assignment.
Now you can edit the Python/code skeletion file from the Pycharm
After you finish the assignment, upload your Python file solution to the assignment box in the Moodle
Note that the solution should be a single Python file, not PDF/Word
Your python file should be able to be executed without any errors in Pycharm
You can also use this tutorial for downloading assignment and upload solution
Need some extra help? Ask our course staff!#
The exam#
Final grade is composed out of homework and final exam
You must pass the exam to pass the course
Written “pen-and-paper” exam
Writing code and spotting errors in code
Includes all course material:
Lectures, recitations, and assignments
