Electronic Business

Do you want to develop an electronic payment system like PayPal for your business purposes? Do you want to know how web data is being
transformed with semantic technologies to be ready for machine based processing? Do you want to develop a mobile business application
to the point where you can start selling it on Google market? Or you want to know the latest trends in managing enterprises and organizations due to information technology advancements? And you want to go for your own innovative start-up? Then E-business course is for you.

With the penetration of e-media (from traditional internet to internet of things and pervasive computing) into all areas of our lives business and private) new ways of doing business emerged. These new ways are largely determined by technology. However, although technology is the key driver, knowing only this technology is not sufficient for successful e-business. Therefore this course starts with the basic definitions and a brief historical overview of the field. Next, a systemic view on e-usiness is given with analysis and simulation of some typical structures like internal and external logistic chains, and the effects f decision making on their behavior. This topic will be followed by technological views with the emphasis on integration, first of data and documents (RIP, XML technologies, semantic web with RDF and OWL), and processes integration (standards SOAP / UDDI / WSDL, PEL and BPMN). Also the complementary technological means for e-business will be covered, i.e., electronic payment systems. In the second part we will focus on organizational views (business functions and processes, information systems evolution, new business models
and auditing standards like COBIT and ISO 27000). The main EU and national legislation in this domain will be given next. In the end we will analyze e-business specific methods for planning and introduction of new information systems (advancements in strategic IS management, use of formal methods, compliance with standards like Common Criteria, etc.), and state future developments in this area.

Practical laboratory work will consist of hands-on work that, for example, covers e-biz portal development, its integration with back-end system and business logic, introduction of a payment system a'la eBay, and inclusion of a mobile application. However, also ectures will be "refreshed" and will include hands-on work in focused and specialized areas of e-business like ontology development, simulations, innovation thinking techniques, etc.

Finally, it is recommended that students are familiar with Information systems course. The course will be in Slovene.

Organisation and Management

The course introduces to students the most important and newest concepts of organization and management. The main purpose of the course is to present to students how modern enterprises and public institutions should be managed and organized. The goal of the course is to teach the students the basic skills needed for successful management of enterprises and public institutions.

Introduction to Data Mining

What is common to marketing, insurance, telecoms, resellers, surveillance, fraud detection, and scientific discovery? Any modern business of today can gather vast amounts of data. To make this data useful, we need to extract patterns that provide insight to the data and can uncover hidden commonalities. A branch of computer science that develops techniques for discovery of knowledge from large data sets is called data mining. It combines methods from statistics, artificial intelligence, machine learning, visualization and database management. The course will introduce some of the most popular data mining techniques and will focus on those that can deal with large collections of data. These will include dimensionality reduction techniques, various data clustering/segmentation approaches, methods for finding frequent item sets, network-based explorative analysis techniques and support vector machines. During the course students will learn how to apply these techniques on the real data and use modern scripting-based data mining environments.