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'''[[Collection of files]]''' used in the exercises and lessons - all gathered here. | '''[[Collection of files]]''' used in the exercises and lessons - all gathered here. | ||
* M | * M 03/02 Lesson 1: [[Unix]] | ||
* T | * T 06/02 More lecture on [[Unix]] | ||
* M | * M 10/02 Lesson 2: [[Python Recap and Objects]] | ||
* T | * T 13/02 Official talk about Random numbers | ||
* M | * M 17/02 Lesson 3: [[Regular Expressions]] | ||
* T | * T 20/02 Continuing lesson | ||
* M | * M 24/02 Lesson 4: [[Making Functions]] | ||
* T | * T 27/02 Unofficial talk about Garbage Collection in Python | ||
* M | * M 03/03 Lesson 5: [[Advanced Data Structures and New Data Types]] | ||
* T | * T 06/03 Unofficial talk about how Data Structures work in Python. [https://evaluering.dtu.dk/ Midterm evaluation] - part 1 (this is an evaluation of the course, not of you) | ||
* M | * M 10/03 Lesson 6: [[Comprehension, Generators, Functions and Methods]] | ||
* T | * T 13/03 [https://evaluering.dtu.dk/ Midterm evaluation] - part 2 | ||
* M | * M 17/03 Lesson 7: [[Classes]] | ||
* T | * T 20/03 More lecture on [[Classes]], Project introduction | ||
* M | * M 24/03 Lesson 8: [[Unit test]] and start of project | ||
* T | * T 27/03 More lecture on [[Unit test]], project work | ||
* M 31/03 Lesson 9: [[Scientific Libraries, Pandas, Numpy]] | |||
* T 03/04 More lecture on [[Scientific Libraries, Pandas, Numpy]], project work | |||
* M | * M 07/04 Lesson 11: [[Scientific Libraries, Statistics]] SciPy | ||
* T | * T 10/04 Continuing lesson, project work | ||
* M | * Easter holidays - <span style="color: red;">Easter messes with the lesson order. Notice the switch between 10 & 11</span> | ||
* T | * T 24/04 Lesson 10: [[Runtime evaluation of algorithms]] | ||
* M | * M 28/04 Lesson 12: [[Scientific Libraries, Plotting]] Matplotlib, Seaborn | ||
* T | * T 01/05 Continuing lesson, project work | ||
* M | * M 05/05 Lesson 13, [[Last words]], Biopython | ||
* T | * T 08/05 Q/A session, project work | ||
* M | * M 12/05 The project is handed in at 15.00 on DTU Learn | ||
* T | * T 13/05 Start of project evaluation | ||
* M | * M 20/05 The project evaluation is handed in at 15.00 on DTU Learn | ||
* T | * T 16/05 Exam - [http://eksamensplan.dtu.dk/ the official DTU exam plan] | ||
== Curious about the exam == | == 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_course read here]. | [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_course read here]. | ||
Latest revision as of 16:37, 17 January 2025
Collection of files used in the exercises and lessons - all gathered here.
- M 03/02 Lesson 1: Unix
- T 06/02 More lecture on Unix
- M 10/02 Lesson 2: Python Recap and Objects
- T 13/02 Official talk about Random numbers
- M 17/02 Lesson 3: Regular Expressions
- T 20/02 Continuing lesson
- M 24/02 Lesson 4: Making Functions
- T 27/02 Unofficial talk about Garbage Collection in Python
- M 03/03 Lesson 5: Advanced Data Structures and New Data Types
- T 06/03 Unofficial talk about how Data Structures work in Python. Midterm evaluation - part 1 (this is an evaluation of the course, not of you)
- M 10/03 Lesson 6: Comprehension, Generators, Functions and Methods
- T 13/03 Midterm evaluation - part 2
- M 17/03 Lesson 7: Classes
- T 20/03 More lecture on Classes, Project introduction
- M 24/03 Lesson 8: Unit test and start of project
- T 27/03 More lecture on Unit test, project work
- M 31/03 Lesson 9: Scientific Libraries, Pandas, Numpy
- T 03/04 More lecture on Scientific Libraries, Pandas, Numpy, project work
- M 07/04 Lesson 11: Scientific Libraries, Statistics SciPy
- T 10/04 Continuing lesson, project work
- Easter holidays - Easter messes with the lesson order. Notice the switch between 10 & 11
- T 24/04 Lesson 10: Runtime evaluation of algorithms
- M 28/04 Lesson 12: Scientific Libraries, Plotting Matplotlib, Seaborn
- T 01/05 Continuing lesson, project work
- M 05/05 Lesson 13, Last words, Biopython
- T 08/05 Q/A session, project work
- M 12/05 The project is handed in at 15.00 on DTU Learn
- T 13/05 Start of project evaluation
- M 20/05 The project evaluation is handed in at 15.00 on DTU Learn
- T 16/05 Exam - the official DTU exam plan
Curious about the exam
Read this, and if you fail or are afraid of failing read here.