hartmannsolution / docker_notebooks

Course content

There will be weekly handin assignments and individual class presentations, that is how you get studypoints (no points are given for attendance!) Throughout the semester you must have 5 approved group presentations to qualify for examination.

Preliminary Class schedule is shown below (subject to change)

Uger	Dato	Emne	Indhold	Læringsmål	Uge opgaver
1	31-01-2023	Flow 1	Getting started, Python language features	Learning objectives	ex 1
2	07-02-2023	Flow 1	Whirlwind, Lists, Loops, Cond. Stmts., Functions, Modules	Learning objectives	ex 2
3	14-02-2023	Flow 1	OOP, Exceptions, plotting	Learning objectives	ex 3
4	21-02-2023	Flow 2	Intro to Numpy	Learning objectives	ex 4
5	28-02-2023	Flow 2	Intro to Pandas	Learning objectives	ex 5
6	07-03-2023	Flow 2	Webscraping, Regular Exp, Selenium and Requests	Learning objectives	ex 6
7	14-03-2023	Flow 2	Semester project part 1 INGEN UNDERVISNING
8	21-03-2023	Flow 3	Feature spaces	Learning objectives	ex 7
9	28-03-2023	Flow 3	Feature engineering and Clustering	Learning objectives	ex 8
10	04-04-2023	Påskeferie
11	11-04-2023	Flow 3	Neural Networks and classification of images	Læringsmål	ex 9
12	18-04-2023	Flow 3	Working with images OpenCV	Learning objectives	ex 11
13	25-04-2023	Flow 3	Working with text	Learning objectives	ex 10
14	02-05-2023	Flow 4	Semester project
15	09-05-2023	Flow 4	Semester project
16	16-05-2023	Flow 4	Semester project
17	23-05-2023	Flow 4	Eksamensforberedelse
18	31-05-2023	Hand-in Semester projekt
	(06-07)-06-2023	Eksamen

Studypoint assignment sheet