Timetable at FEE Students of PGE Upload system BRUTE PRG

Lectures

Lecture	Day	Topics	Codes/slides
1.	22.2.	Lists, arrays, dictionaries	create , access , append , insert , delete
2.	1.3.	2D arrays, classes and objects	2D fill, generate, analyze search
3.	8.3.	Strings and text files Data are available in the practices section	strings1 strings2 strings3 strings4 strings5 textfiles climate1 climate2
4.	15.3.	Prefix sum, binary search, sliding window, speed issues	binsearch.py , prefixsum.py , sentinel.py , slidingwindow.py , sorts.py
5.	22.3.	Library support for searching and sorting, complexity of searching and sorting and other tasks.	combinations.py, maxsumsubseq.py, nestedloops.py , searchspeeds.py, sorts.py , sortspeeds.py
6.	29.3.	Trees and recursion I, principles, simple examples	recursive1 recursive2 recursive3
7.	5.4.	Midterm week
8.	12.4.	Trees and recursion II	binarytree1.py , binarytree2.py binarytree3.py , nodeclass.py, more below in the notes
9.	19.4.	Python application libraries Numpy, Matplotlib, Scipy with examples of use	numpy example display with mathplotlib display climate data climate data files
10.	26.4.	Processing Internet data sources	csv0, csv1, csv2, csv3.py, matplotlib , Gapminder data source, Kaggle data source
11.	3.4.	Package Numpy, speed-up, precision, limitations	numpydemo.py , integers.py, floats.py, rotatespeed.py, columns.py , User Guide
12.	10.5	University Sports Day	classes suspended
13.	17.5.	Abstract Data Types (ADT) – stack, queue, tree – and their implementation	stack, queue,tree - slides ADT queue ADT stack ADT tree cyclic queue ADT tree extended examples BFS demo video , DFS demo video
14.	24.5	Repetitions and exam examples	set 1 , set 2, arrays_tasks, recursion_tasks Programming exam examples: Gallery Guards Rectangles area Cooperating Robot Pairs Secure Matrix Areas
—	—	–	—
15.	not applied in 2023	Processing Internet data sources	csv0, csv1, csv2, csv3.py, matplotlib , Gapminder data source, Kaggle data source
16.	not applied in 2023	Estimation of execution time of a code, asymptotic complexity.	asymptotic complexity, nested loop examples , also, consult the example codes in related to speed effectivity in lessons 01-04 mainly

Notes

Lecture 2. Binary search visualisation

Lecture 4. binsearchdemo.py , using small display moduledisplay.py.

Lecture 5. 05searchsort1.py, 05searchsort2.py, 05searchsort3.py, 05searchsort4.py

combinations.py, maxsumsubseq.py, nestedloops.py , searchspeeds.py, sorts.py , sortspeeds.py

Lecture 8. treeincludes must be downloaded separatly.

Lecture 10. Gapminder data visualisation

population_total

Application libraries II, Basics of User Interface, TKinter | all.zip win1 label1 label2 label3 button1 button2 button3 button4 entry1 entry2 entry3 combo1 combo2 checkbutton1 checkbutton2 radio1 scroll1 scroll2 dialog1 calc1