• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
Bachelor 2016/2017

Information Systems

Type: Compulsory course (Sociology)
Area of studies: Sociology
When: 1 year, 2, 3 module
Mode of studies: Blended
Instructors: Муратов Алексей Алимович, Ilya Musabirov, Vadim Voskresensky
Language: English
ECTS credits: 4

Course Syllabus

Abstract

This course studies the interconnections of technology, people, and business in organizations implemented as information systems. Starting from the basics of Information Technology, we will discuss how organizations use contemporary IT toolkit to achieve their goals. We will study different types of information systems and major approaches to their design in alignment with organizational goals, including data processing, decision making and transaction costs aspects. We will uncover the strong social nature of IS planning, design, and development processes and how social science theory and methods can enrich these processes. We will study different types of IS for different audiences, including business information systems and information systems in science and research. From a sociotechnical point of view, we will discuss mobile technologies, cloud computing, Big Data, social media, and how they influence the present and the future of information systems. Then the course will move to collaborative systems of different levels – from small group document sharing to the World Wide Web, and their design principles.
Learning Objectives

Learning Objectives

  • introduction to the concepts of business processes, social computing, business analytics, organizational analysis
Expected Learning Outcomes

Expected Learning Outcomes

  • will know different types of information systems and main approaches to analyzing organizations from an information perspective
  • will be able to design simple business processes paying attention to the needs of customers and organizations
  • will be able to construct basic analytical reports using Tableau
  • will be able to describe organizational goals of different services and model possible interactions between service systems and clients
  • will know basic principles of programming in the framework of working with Ren’Py library for Python
Course Contents

Course Contents

  • Business Analytics and Data Processing
    1) 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 15) Test (module 2)
  • Information Systems and Business Processes
    16) Key Performance Indicators What KPI is; Where it can be implemented; KPI types; Examples of KPI in different professional spheres 17) Agile analytics Basic principles of business analytics; User eXperience; System Analytics; Requirements engineering; Agile 18) Individual work Recap of the covered material 19) Communication and principles of teamwork Building teams; Basic software development principles; Distribution of duties within the team; Sufficient communication 20) 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 Computing
    21) Introduction to distributed groups What distributed group is; Working with business software; Organizing the working process; Documenting design decision 22) Basic programming with RenPy Logic functions (if, elif, else); Lists; Setting new variables; Changing values in variables 23) Successful distributed groups Characteristics of successful distributed groups; Distributed groups in the industry 24) Advanced programming with RenPy Imagemap; GUI 25) Test (module 3) 26) Advanced programming with RenPy Vocabularies; Probabilities as a visual novel element; Chances 27) Social Computing Principles of social computing; Background of the concept; Implementation in industry and business and specific examples 28) Discussion of RenPy projects Recap of the covered material; Consultation
  • Project
Assessment Elements

Assessment Elements

  • non-blocking Group project (module 2)
  • non-blocking Test I (module 2)
    Each test consists of 10 questions. Each test questions weights 1 point. Each open question weight equals the number of sub-items in the question. Up to 2 additional points might be awarded for excellent answers on the open questions.
  • non-blocking Group project (module 3)
  • non-blocking Test II (module 3)
  • non-blocking Exam (module 3)
Interim Assessment

Interim Assessment

  • Interim assessment (3 module)
    0.4 * Exam (module 3) + 0.15 * Group project (module 2) + 0.15 * Group project (module 3) + 0.15 * Test I (module 2) + 0.15 * Test II (module 3)
Bibliography

Bibliography

Recommended Core Bibliography

  • 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

Recommended Additional Bibliography

  • 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