Introduction to Python Programming

This program is a beginners’ Python course where participants will gain a full understanding of Python programming and some useful Python modules mainly for data processing.

The course covers two parts: Python programming and  advanced Python modules. In the first part, you will learn about Python programming including data types, control structures (if-else, for-loop, while) and basic algorithms, file operations, code-reuse (function, class, module), and program debugging. In the second part, you will learn to use  some most common and popular Python modules for data processing: NumPy, Pandas for data analysis; Matplotlib, Seaborn for data visualization; Requests, Beautiful Soup for crawling.

This course will also include Python for scientific calculation (using module SciPy), and some basic machine learning methods achieved when learning basic algorithms, e.g. k-means clustering, random forest.

Learning Goals:

• Learn basic Python programming with examples

• Know how to modularize your code with function, class and module

• Learn to install and run a third-party Python library using pip

• Use common Python tools for data analysis and visualization

•  Know basic knowledge to crawl data online

Course Structure:

Reading week: January 4th - January 8th, 2021. Flexible, 10 hours preparatory work to be done on-demand.

Online course: January 11th - January 29th, 2021. Estimated session times are Mondays through Fridays from 9 am to 2 pm CET for live lectures and group sessions, etc.

Please note that exact session times will be confirmed once registrations have closed (sessions will be scheduled according to the time zones of the registered course participants).

Should you have any questions regarding the course timetable, please contact us at summeruniversity@tubs.de

Please note this is a full-time, intensive course. Weeks 1-3 will involve approximately 30 hours of workload.

Syllabus:

A detailed syllabus with information on the schedule will be made available to registered participants.

You may find the syllabus useful when discussing with your home university whether the ECTS credits attainable for this course are accepted by them.

Course Components:

• live lectures

• independent assignments

• webinars for assignments discussion and solutions

• independent project

• webinars for project discussion/tutoring

This course is designed for current university students, working professionals and any individuals with an interest in furthering their knowledge and skills in understanding of how to program in Python.

Participants from all fields and disciplines are welcome.

Dongrui Jiang is a Research Assistant in the Energy and Resource Management Department (ER) of the TU Berlin and an engineering Ph.D. student specializing in numerical simulation technologies. She uses Python as a working language in her scientific research to analyze data of the Germany energy market and use it to optimize future energy systems. She has practical experience in using Python in conjunction with scientific computing modules and libraries to analyze data in specific fields.

Course fees for Introduction to Python Programming are as follows:

Student: 920 Euro

Working professional/Non-student: 1320 Euro

The early bird discount is available for all participants until November 1^st. Registrations open in October 2020.

Please note that students will be required to upload proof of their student status (student card/ enrolment information) during the registration process.