Course in InSIS – 4IT482, classroom – SB107
Date: 24-26 January 2022, exam will be taken – 28 January 2021
the capacity of the course is full
Dr George Feuerlicht is an Associate Professor at the Department of Information Technologies, Prague University of Economics. George has been following cloud computing developments for over a decade and has published a number of recent articles dealing with cloud computing topics. He has presented seminars and professional development courses in Australia, Europe, Asia and USA and is the author of over 100 publications across a range of topics in computer science. He holds a PhD in Electrical Engineering from the Imperial College, London University, U.K.
Cloud computing has emerged recently as the dominant approach for the implementation of information systems with many government and private organizations migrating their entire IT infrastructure to the cloud. Most experts today recognize the benefits of cloud computing that include fast implementation, cost reduction and potential for rapid innovation. However, the fast rate of evolution of cloud technologies and the complexity of managing large-scale cloud environments represent a challenge for organizations making the transition into the cloud. This three-day course aims to provide the attendees with a balanced view of cloud computing covering the basic cloud concepts and terminology and discussing both the benefits and challenges of cloud adoption. The course includes demonstrations and practical hands-on exercises using the AWS (Amazon Web Services) services (MongoDB, PostgreSQL, etc.).
- Introduction to cloud computing: current IT technology trends, business motivations and technology drivers, benefits and challenges, cloud vs on premises IT, cloud computing in a historical context, cloud computing case studies
- Cloud computing concepts and terminology: SOA services and APIs, virtualization, virtual machines and containers, serverless computing, DevOps and microservices, cloud computing service models: SaaS, IaaS, PaaS, cloud computing deployment models: public, private, and hybrid clouds, multitenancy and polymorphic applications, etc.
- Cloud databases: SQL and NoSQL databases, document databases, column databases, graph databases, etc. CAP theorem and BASE consistency, tunable consistency, NoSQL examples: MongoDB, Amazon DynamoDB, etc.
- Public cloud platforms: AWS, Azure, Google Cloud Platform. AWS core services: EC2, EBS, S3, RDS (Oracle, DynamoDB, Amazon Aurora), ML, etc.
- Cloud computing architectures and open source frameworks: NIST Reference Architecture, Kubernetes, Cloud Foundry, etc.
- Cloud computing adoption: migration readiness and planning, migration strategies, AWS Adoption Framework
- Future directions: Industrialization of IT, IoT, Machine Learning, etc.
Course in InSIS – 4EK614, classroom – on site
Date: 8-10 February 2022
Department of Econometrics and the leading consulting company EY is planning to open the extra–semester intensive course 4EK614 Applied Operational Research in Business Consulting (3credits) o be taught on February 8 –10,2022.
The coursewill be led by EY experts presenting case studies of applications of operations research in the industrial and financial sector. Details can be found on the EY website.
Exams will take place in February–March 2022 and will have the form of defense of a project. The credits will fall into the spring semester of 2022.
Please DO NOT register viaInSIS. Registration is done via the EY website (button“Register Now”) no later than on January 31,2022.
Course in InSIS – 4SA535, classroom – Žižkov Campus
Date: 30 May – 3 June 2022 (8:00- 12:00 and 13:00-16:00)
the registration is open, capacity of the course is 30
Prof. M.Sonntag is a guest teacher, coming from the Johanned Kepler University Linz.
The aim of the course is to introduce current problems of security and privacy, especially regarding the web. How these can be solved through technological approaches, e.g. incident response techniques, system design/implementation, is discussed together with their legal and society limitations. Students will be introduced to the foundations of the topics through lectures. Based on this, current research and development are presented and discussed. Selected aspects of each topic will be covered through practical work and in demonstrations. Because of time-constraints, only some specialty areas will be covered in detail, while others will only be mentioned.
course in InSIS 4ST650 – Advanced statistical methods
Date: 25-29 April 2022
the registration will be open 7 March – 23 April
Dr. Nasrollah Saebi is a guest teacher from the Kingston University, London.
· Measures of forecasting errors and their applications.
· Forecasting methods for seasonal data: Additive and Multiplicative Decomposition Methods involving centred moving averages and statistical regression technique.
· Forecasting method for data without a trend: Single Exponential Smoothing.
· Forecasting methods incorporating trend: Brown’s Method, Holt’s Method.
·Box-Jenkins Forecasting Methodology and Modelling Procedures: AR, MA and ARIMA models; stationarity and invertibility; Ljung-Box diagnostic model testing; back-shift operator; Akaike and Schwartz Bayesian model selection criteria.
· Use of appropriate industry standard software packages (e.g. SAS for Box-Jenkins modelling and modelling and forecasting methods and MS-Excel and Solver for other methods).
The theoretical aspects will be delivered through a series of lectures, developing from the basic moving average methods. The lectures will be complemented by practical sessions in which economic and business time series data will be analysed. Here, tentative models are identified and forecasts are made using an appropriate statistical software package.
course in InSIS 4IT370
Date: 23-25 May 2022
the registration will from 1 April
Dr George Feuerlicht is an Associate Professor at the Department of Information Technologies at the Unicorn University and a visiting lecturer at the Prague University of Economics and Business. George has been involved in database research and teaching for over three decades. He has presented seminars and professional development courses in Australia, Europe, Asia and USA. He is the author of over 100 publications across a range of topics in computer science. He holds a PhD in Electrical Engineering from the Imperial College, London University, U.K.
Large volumes and complexity of data that organizations manage today is challenging traditional approaches to data management. To address such challenges relational databases have introduced a range of advanced features that support the management of complex data objects. More recently, a new generation of non-relational databases known as NoSQL have emerged. NoSQL databases include a diverse collection of products designed to manage large volumes of different types of data using cloud infrastructure. In this 3-day course we discuss the motivation for NoSQL and then cover a range of advanced database techniques with practical demonstrations and hands-on exercises using leading NoSQL databases.
- Introduction: Data management challenges, benefits and limitations of relational databases
- Advanced SQL features: User Defined Types, Collections, Object types and methods, etc.
- Management of semi-structured data: XML and JSON data types, XQuery
- Overview of NoSQL databases: Document databases, Column databases, Graph databases, In-memory databases, etc.
- NoSQL concepts and techniques: horizontal scalability and sharding, schema-less data, CAP theorem, data replication and BASE consistency
- AWS database services
- Examples of NoSQL databases: DynamoDB, MongoDB, Neo4j, etc.
- Summary: SQL vs NoSQL- benefits and drawbacks, future developments
- Practical hand-on exercises using MongoDB and Neo4j