Level of study: 3.
Year: 1.
Compulsory subject

The aim of the subject is to provide students with knowledge in the field of data economy. The course deals with the analysis and processing of large data sets (Big Data). Students should become familiar with the creation, structure, and management of data warehouses, understand approaches to acquiring knowledge from data, and gain advanced knowledge of neural networks.

Brief course outline:

  • Big data - Big data, the complexity of big data, big data processing architectures, big data technologies, the commercial value of big data, data warehouses, data warehouse management, workflow management in data warehouses,
  • Data mining - Data and file formats (structured, unstructured, etc.), SQL and databases, text processing (parsing, tokenizing, stemming, etc.),
  • Data representation (representation of feature vectors, etc.) The need for data mining, Data preprocessing: dimension reduction, missing value analysis, normalization and standardization, noise and outlier detection.
  • Pattern detection, classification, association, and prediction techniques. Machine learning Basic concepts of neural networks, characteristics of neural networks, terminology, application of neural networks. Supervised machine learning, unsupervised machine learning, reinforcement learning.
  • Knowledge discovery, artificial intelligence, learning rules, error correction learning, memory-based learning, Hebbian learning, competitive learning, Boltzmann learning, single-layer perceptron, multi-layer perceptron, backpropagation, recurrent networks, network simplification, adaptive networks,
  • Decision-based neural networks, hierarchical neural networks, probabilistic neural networks, radial basis function networks, comparison of RBF and multilayer perceptron networks.
  • Classification of linearly separable patterns, Boltzmann machine, Helmholtz machine, Support vector machines, Self-organizing migration algorithm, genetic algorithms, prediction systems.

Level of study: 2.
Year: 2.
Compulsory subject

The aim of the subject Purchasing and Supply Management (PSM) in the era of Industry 4.0 is to ensure that individual students have the necessary knowledge to join any PSM department of any large organization and are prepared to respond to various aspects that purchasing will face in the (near) future. The course provides opportunities for individual students to acquire the necessary skills and competencies to improve their competitiveness in the labor market today and in the future, and also aims to develop their professional and personal skills in the long term. Increasing the number of highly qualified students in the field of PSM will support the development of various solutions for supply chains, logistics, finance, and the business environment in general.

Brief course outline:

  • The role of purchasing in the supply chain. Procurement and purchasing in a company.
  • Purchasing behavior in industry
  • Supply chain management
  • Module II: Setting requirements for suppliers using data and technology A.
  • Module II: Setting requirements for suppliers using data and technology B.
  • Module III: Sourcing and evaluating suppliers in the digital age A.
  • Module III: Securing resources and evaluating suppliers in the digital age B.
  • Module IV: Selecting suppliers A.
  • Module IV: Selecting suppliers B.
  • Module V: Advanced automation in operational procurement
  • Module I: Strategic Digital Leadership
  • Characterization of Industry 4.0 from the perspective of PSM.

Level of study: 1.
Year: 2
Compulsory elective

The aim of the course is to provide students with the latest knowledge in the field of auditing, define the subject, tasks and significance of auditing, characterize the legal regulation of auditing (national and supranational), as well as the methodology of auditing – with the use of auditing procedures and methods. The course aims to familiarize students with the audit system and, through case studies and model situations, involve students in the practice of auditing in accordance with national legislation and international auditing standards.

Brief outline of the course:

  • Auditing – definitions, tasks, and significance of auditing.
  • Transnational regulation of auditing. International auditing bodies and institutions. National regulation of auditing.
  • The auditing profession in the Slovak Republic, Act No. 540/2007 Coll. on auditors, auditing and supervision of auditing.
  • Auditor's responsibility. Auditor's independence. Auditor's professional ethics. Auditor's code of ethics.
  • Audit selection for control and substantive tests. Audit methods and procedures.
  • Types of audit - compliance audit, internal audit, operational audit. Relationship between independent and internal auditors. Audit documentation.
  • Audit report and auditor's opinion. International Standards on Auditing – ISA.
  • Audit conclusions and reports. Harmonization of auditing and its prospects.

Subcategories

Department of Economics

Department of Information and Language Communication