The teacher must also help students with the problems that they are facing during solution creation. At the end of laboratory classes, students will present their conclusions and teacher will help to evaluate the solution prepared by students. Those conclusions will be discussed collaboratively. In Table 2. a suggested schedule of Data Warehouse course is presented with applied teaching methods. 2. Teaching methods applied in Data Warehouse Course. Day 1 Applied Day 2 Applied Day 3 Applied Day 4 Applied Hours Topics Methods Topics Methods Topics Methods Topics Methods Informal L3: DW3 Lecture, L5: DW6 - Lecture, Lab4: Lab, meeting, Data Quizzes, Data Individual DW9 - Individual Discussion Warehouse Construction Warehouse reports, Distance projects forum, Models summaries, Design and Creation Pretest charts Active using books ICT L1: Lecture, L4: DW4 Lecture, Lab2: DW7 Lab, Lab5: Team DW1 Quizzes, Analytical Group - Creation DW10 work, From Processing reports, of Data DW Project, discussion, and DW Warehouse Individual Projects BYOD to Active Operations in Pentaho tasks Data books L2: Lecture, Lab1: DW5 Lab, Lab3: DW8 Lab, Informal DW2 Library Introduction Sofware - Making Data meeting, search, to Pentaho analysis Analysis Test Final Discussion with creation exam of Data forums. Component Pentaho Active Installation tasks) results of this research can be presented as guidelines for new and innovative teaching methods of Business Informatics (including DW course): The description of the methods is the following Providing real examples with case studies; Providing the description of these case studies in electronic format before having classes; Notifying students for the electronic version of the case studies; Starting the exercises; Discussion on questions before starting; Defining research questions; Using several software products by several tutors; Discussing the output of the software;
The teacher must also help students with the problems that they are facing during solution creation. At the end of laboratory classes, students will present their conclusions and teacher will help to evaluate the solution prepared by students. Those conclusions will be discussed collaboratively. In Table 2. a suggested schedule of Data Warehouse course is presented with applied teaching methods. 2. Teaching methods applied in Data Warehouse Course. Hours Day 1 Topics Applied Methods Day 2 Topics Applied Methods Day 3 Topics Applied Methods Day 4 Topics Applied Methods Informal meeting, Discussion forum, Pretest L3: DW3 Data Warehouse Models Lecture, Quizzes, Construction summaries, Active books L5: DW6 - Data Warehouse Design and Lecture, Individual reports, Creation charts Lab4: DW9 - Distance using ICT Lab, Individual projects L1: DW1 From to Data Lecture, Quizzes, discussion, Active books L4: DW4 Analytical Processing and DW Operations Lecture, Group reports, Lab2: DW7 - Creation of Data Warehouse in Pentaho Lab, Individual tasks Lab5: DW10 DW Projects Team work, Project, BYOD L2: DW2 of Data Lecture, Library search, Discussion forums. Active Lab1: DW5 Introduction to Pentaho Lab, Sofware Component Installation Lab3: DW8 - Making analysis with Pentaho Lab, Data Analysis creation tasks) Final exam Informal meeting, Test results of this research can be presented as guidelines for new and innovative teaching methods of Business Informatics (including DW course): The description of the methods is the following Providing real examples with case studies; Providing the description of these case studies in electronic format before having classes; Notifying students for the electronic version of the case studies; Starting the exercises; Discussion on questions before starting; Defining research questions; Using several software products by several tutors; Discussing the output of the software;