Programme - Spring 2023

Collection of files used in the exercises and lessons - all gathered here.

• M 30/01 Lesson 1: Unix
• T 02/02 More lecture on Unix
• M 06/02 Lesson 2: Python Recap and Objects
• T 09/02 Random numbers
• M 13/02 Lesson 3: Regular Expressions
• T 16/02 Continuing lesson
• M 20/02 Lesson 4: Making Functions
• T 23/02 Continuing lesson
• M 27/02 Lesson 5: Advanced Data Structures and New Data Types
• T 02/03 Midterm evaluation - part 1 (this is an evaluation of the course, not of you)
• M 06/03 Lesson 6: Comprehension, Generators, Functions and Methods
• T 09/03 Midterm evaluation - part 2
• M 13/03 Lesson 7: Classes
• T 16/03 More lecture on Classes, Project introduction
• M 20/03 Lesson 8: Unit test and start of project
• T 23/03 More lecture on Unit test, project work
• M 27/03 Lesson 9: Scientific Libraries, Pandas, Numpy
• T 30/03 More lecture on Scientific Libraries, Pandas, Numpy, project work
• Easter holidays
• T 13/04 Lesson 10: Runtime evaluation of algorithms
• M 17/04 Lesson 11: Scientific Libraries, Statistics SciPy
• T 20/04 Continuing lesson, project work
• M 24/04 Lesson 12: Scientific Libraries, Plotting Matplotlib, Seaborn
• T 27/04 Continuing lesson, project work
• M 01/05 Lesson 13, Last words, Biopython
• T 04/05 Q/A session, project work
• M 08/05 The project is handed in at 15.00 on DTU Learn
• T 09/05 Start of project evaluation
• M 14/05 The project evaluation is handed in at 15.00 on DTU Learn
• T 15/05 Exam - the official DTU exam plan