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 (Created page with "'''Collection of files''' used in the exercises and lessons - all gathered here.  * M 29/01 Lesson 1: Unix * T 01/02 More lecture on Unix * M 05/02 Lesson 2: Python Recap and Objects * T 08/02 Official talk about Random numbers * M 12/02 Lesson 3: Regular Expressions * T 15/02 Continuing lesson * M 19/02 Lesson 4: Making Functions * T 22/02 Unofficial talk about Garbage Collection in Python * M 26/02 Lesson 5: Advanced Data Structures and New Da...")  | 
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* M 13/05 The project evaluation is handed in at 15.00 on DTU Learn  | * M 13/05 The project evaluation is handed in at 15.00 on DTU Learn  | ||
* T 15/05 Exam - [http://eksamensplan.dtu.dk/ the official DTU exam plan]  | * T 15/05 Exam - [http://eksamensplan.dtu.dk/ the official DTU exam plan]  | ||
== Curious about the exam ==  | |||
[https://teaching.healthtech.dtu.dk/22113/index.php/Aligning_expectations#Passing_the_course Read this] and if you fail or are afraid of failing [https://teaching.healthtech.dtu.dk/22113/index.php/Aligning_expectations#Failing_the_exam read here].  | |||
Revision as of 11:08, 19 November 2024
Collection of files used in the exercises and lessons - all gathered here.
- M 29/01 Lesson 1: Unix
 - T 01/02 More lecture on Unix
 - M 05/02 Lesson 2: Python Recap and Objects
 - T 08/02 Official talk about Random numbers
 - M 12/02 Lesson 3: Regular Expressions
 - T 15/02 Continuing lesson
 - M 19/02 Lesson 4: Making Functions
 - T 22/02 Unofficial talk about Garbage Collection in Python
 - M 26/02 Lesson 5: Advanced Data Structures and New Data Types
 - T 29/02 Unofficial talk about how Data Structures work in Python. Midterm evaluation - part 1 (this is an evaluation of the course, not of you)
 - M 04/03 Lesson 6: Comprehension, Generators, Functions and Methods
 - T 07/03 Midterm evaluation - part 2
 - M 11/03 Lesson 7: Classes
 - T 14/03 More lecture on Classes, Project introduction
 - M 18/03 Lesson 8: Unit test and start of project
 - T 21/03 More lecture on Unit test, project work
 - Easter holidays - Easter messes with the lesson order
 - T 04/04 Lesson 10: Runtime evaluation of algorithms
 - M 08/04 Lesson 9: Scientific Libraries, Pandas, Numpy
 - T 11/04 More lecture on Scientific Libraries, Pandas, Numpy, project work
 - M 15/04 Lesson 11: Scientific Libraries, Statistics SciPy
 - T 18/04 Continuing lesson, project work
 - M 22/04 Lesson 12: Scientific Libraries, Plotting Matplotlib, Seaborn
 - T 25/04 Continuing lesson, project work
 - M 29/04 Lesson 13, Last words, Biopython
 - T 02/05 Q/A session, project work
 - M 06/05 The project is handed in at 15.00 on DTU Learn
 - T 07/05 Start of project evaluation
 - M 13/05 The project evaluation is handed in at 15.00 on DTU Learn
 - T 15/05 Exam - the official DTU exam plan
 
Curious about the exam
Read this and if you fail or are afraid of failing read here.