http://ocw.cs.pub.ro/courses/ 2026-05-17T15:07:42+03:00 http://ocw.cs.pub.ro/courses/ http://ocw.cs.pub.ro/courses/lib/tpl/arctic/images/favicon.ico text/html 2021-03-17T17:07:22+03:00 http://ocw.cs.pub.ro/courses/ewis/laboratoare/01?rev=1615993642&do=diff Lab 1 - Introduction to Python What we need Python is a widely used high-level interpreted programming language for general-purpose programming. Python 3.x will be used which presents some changes in terms of syntax and lots of improvements from Python 2.x, while the two major versions are not backward compatible. text/html 2023-03-15T17:40:21+03:00 http://ocw.cs.pub.ro/courses/ewis/laboratoare/02?rev=1678894821&do=diff Lab 2 - Data Structures. Functions. Modules Functions Functions are used to group code statements in order to perform a task. Similar to most programming languages, a function can take one or more inputs, perform the calculations, and then return the result. Once defined, a function can be used many times in a program. text/html 2023-03-22T17:51:33+03:00 http://ocw.cs.pub.ro/courses/ewis/laboratoare/03?rev=1679500293&do=diff Lab 3. Useful Python skills. Working with data files Exceptions If you have some code that may “raise an exception” under some unknown conditions, you can defend your program by placing the suspicious code in a try: block. After the try: block, include an except: statement, followed by a block of code which handles the problem as elegantly as possible: text/html 2023-03-29T15:23:37+03:00 http://ocw.cs.pub.ro/courses/ewis/laboratoare/04?rev=1680092617&do=diff Lab 4. Object Oriented Programming. Web Scraping Object Oriented Programming (OOP) is a computer programming model that organizes software design around data, or objects, rather than functions and logic. An object can be defined as a data field that has unique attributes and behavior. OOP allows for writing code that is better organized and maintainable, especially in large enterprise applications. text/html 2023-04-05T16:10:21+03:00 http://ocw.cs.pub.ro/courses/ewis/laboratoare/05?rev=1680700221&do=diff Lab 5. Relational Databases. Introduction to SQL Introduction to Databases A database (DB) is a structured set of data that allows the storage of information and efficient processing by multiple users. A database management system (DBMS) is a software product that ensures interaction with a database, allowing the definition, consultation and updating of data in the database. All requests for access to the database are handled and controlled by the DBMS. text/html 2023-04-12T18:01:08+03:00 http://ocw.cs.pub.ro/courses/ewis/laboratoare/06?rev=1681311668&do=diff Lab 6. Relational Databases. MySQL-Python. Charts In this lab, we are introduced to more advanced SQL (functions, joins, subqueries) that are commonly used when querying databases. Then, we will connect to the database and run queries using Python and we will experiment with a plotting library to visualize the results. text/html 2023-04-19T18:08:34+03:00 http://ocw.cs.pub.ro/courses/ewis/laboratoare/07?rev=1681916914&do=diff Lab 7. Statistical models. Linear regression Introduction to scikit-learn Scikit-learn is a machine learning package for Python. This package contain different algorithms for Classification, Regression and Clustering, of which the algorithms used in the following laboratories are highlighted in bold. text/html 2023-04-26T17:55:31+03:00 http://ocw.cs.pub.ro/courses/ewis/laboratoare/08?rev=1682520931&do=diff Lab 8. Supervised Learning. Decision Trees The purpose of an information system is to extract useful information from raw data. Data science is a field of study that aims to understand and analyze data by means of statistics, big data, machine learning and to provide support for decision makers and autonomous systems. While this sounds complicated, the tools are based on mathematical models and specialized software components that are already available (e.g. Python packages). In the following l… text/html 2023-05-10T18:02:20+03:00 http://ocw.cs.pub.ro/courses/ewis/laboratoare/09?rev=1683730940&do=diff Lab 9. Unsupervised Learning. K-Means Clustering What you will learn: * How to perform cluster analysis * How to find the optimal number of clusters * How to identify appropriate features * How to interpret results Unsupervised Learning What is Unsupervised Machine Learning and when it can be useful: text/html 2020-03-13T15:09:50+03:00 http://ocw.cs.pub.ro/courses/ewis/laboratoare/10?rev=1584104990&do=diff Lab 10. Midterm Exam text/html 2023-04-26T19:18:53+03:00 http://ocw.cs.pub.ro/courses/ewis/laboratoare/11?rev=1682525933&do=diff Lab 11. Project / Case Study This week is for working on the laboratory project and preparing the final presentation. Requirements Select an algorithm and a dataset to make a presentation / case study of 10-25 slides. The combination of an algorithm and a dataset has to be unique for each student. text/html 2022-10-17T10:28:47+03:00 http://ocw.cs.pub.ro/courses/ewis/laboratoare/12?rev=1665991727&do=diff Lab 12. Presentation