- will introduce students to the concepts of business processes, social computing, business analytics, organizational analysis
- know different types of information systems and main approaches to analyzing organizations from an information perspective
- design and create information support resources
- be able to outline simple business processes paying attention to the needs of customers and organizations
- be able to construct basic analytical reports using Tableau
- be able to describe organizational goals of different services and model possible interactions between service systems and clients
- know basic principles of programming in the framework of working with RenPy library for Python
- Business Analytics and Data Processing1) Introduction to Information Systems What information is; How it is connected with data; Why do we need them; What is data science; the Basic process of the problem solving 2) Introduction to Excel Why Excel (Spreadsheets) is an important tool; Basic functions for the analysis in Excel; Making reports using Microsoft Word 3) Principles of working with data Sources where data can be found; Introduction to different data formats 4) Advanced analysis in Excel Logic functions; Manipulation with the data; Pivot tables 5) Working with text data in Excel Specificity of text data; Applying functions to texts 6) Information Systems in Business History of Information Systems; Basic principles of Business Analytics; Particular business cases from the industry 7) Individual work Recap of the covered material 8) Introduction to Tableau Why Tableau is an important tool; Tableau interface; Types of data; Specificity of working with different data types in Tableau; Basic principles of data visualization; Acquaintance with different types of plots 9) Stating and refining of the Research Question What research question is; Why it is needed for the project success; Types of research questions; How to make a good research question 10) Basic analysis in Tableau Data aggregation; Centrality measures (mean, median and mode); Types of plots 11) Creating dashboards What dashboard is; Where dashboard can be useful; Principles and aims of the dashboard; Implication to business cases 12) Analytical graphics Principles of analytical graphics; Types of dashboards; Characteristics of a Well-Designed Dashboard; UI Checklist for Dashboard Design 13) Geographical data When geographical data is necessary for the analysis; History of creating maps; Maps in science and business; Creating maps in Tableau 14) Advanced analysis in Tableau Connecting databases; Types of joins; Data filtration; Making calculations within Tableau using different data types
- Information Systems and Business Processes15) Key Performance Indicators What KPI is; Where it can be implemented; KPI types; Examples of KPI in different professional spheres 16) Agile analytics Basic principles of business analytics; User eXperience; System Analytics; Requirements engineering; Agile 17) Individual work Recap of the covered material 18) Communication and principles of teamwork Building teams; Basic software development principles; Distribution of duties within the team; Sufficient communication 19) Introduction to RenPy What RenPy is; Why do we need it; What visual novel is; How it can be implemented in the process of problem-solving
- Web Services and Social Computing20) Introduction to distributed groups What distributed group is; Working with business software; Organizing the working process; Documenting design decision 21) Basic programming with RenPy Logic functions (if, elif, else); Lists; Setting new variables; Changing values in variables 22) Successful distributed groups Characteristics of successful distributed groups; Distributed groups in the industry 23) Advanced programming with RenPy Imagemap; GUI 24) Advanced programming with RenPy Vocabularies; Probabilities as a visual novel element; Chances 25) Social Computing Principles of social computing; Background of the concept; Implementation in industry and business and specific examples 26) Discussion of RenPy projects Recap of the covered material; Consultation
- Homework (module 1)First homework consists of two tasks. Via the first one, students are supposed to demonstrate basic skills of manipulating data and answering research question (10 questions) with the help of Microsoft Excel. Second one is oriented on creation of basic reports in Microsoft Word.
- Group Project I (module 1)Students are divided into small groups. The main aim of the task is to create a knowledge-based article on the chosen topic (example: compare alternative to Excel products), reviewing and comparing information system products. Via this assignment, students learn how to work with the information and how to organise different sources into the valuable article for the non-professional readers.
- Individual Project (module 2)
- Group project II (module 3)Students are supposed to make this project in small groups. They are free to choose their own theme for the game (examples: replication of tv-show "who wants to be a millionaire" or a gamified navigator for the freshmen students of HSE University). There are three tasks to submit in this assignment: (1) a work plan developed by the students teams, (2) a project poster (updated due to milestones), and (3) a game created with the help of Python programming language, particularly, RenPy library. In the submission, students should demonstrate the sufficient knowledge of the programming language.
- Seminar Preparation and ActivityStudents are expected to be prepared and actively participate in each of the seminars. Each seminar is assessed by small oral or written tasks and groupwork activities and is graded on the scale from 0 to 1 with a possible intermediary grades, based on student’s demonstrated level of preparation, participation and critical analysis based on the following criteria. Grades for each seminar equally contribute to the Preparation for Seminars and in-class Participation grade.
- Interim assessment (2 module)0.3 * Group Project I (module 1) + 0.1 * Homework (module 1) + 0.4 * Individual Project (module 2) + 0.2 * Seminar Preparation and Activity
- Interim assessment (3 module)0.3 * Group project II (module 3) + 0.6 * Interim assessment (2 module) + 0.1 * Seminar Preparation and Activity
- Milligan, J. N. (2015). Learning Tableau. Birmingham, UK: Packt Publishing. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=986047
- Olson, D. (2014). Information Systems Project Management. New York: Business Expert Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=932347
- Vanderjack, B. (2015). The Agile Edge : Managing Projects Effectively Using Agile Scrum (Vol. First edition). New York: Business Expert Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1051103
- Murray, D. G., & InterWorks, I. (2016). Tableau Your Data! : Fast and Easy Visual Analysis with Tableau Software (Vol. Second edition). Indianapolis, IN: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1146894
- Rosenbaum, H., & Fichman, P. (2014). Social Informatics : Past, Present and Future. Newcastle upon Tyne: Cambridge Scholars Publishing. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=726145