Ivan Luković, University of Novi Sad, Faculty of Technical Sciences & University of Montenegro,...

Neum, 30. 8 – 6. 9. 2009.JCSE W-2009 / Ivan Luković

Ivan Luković,University of Novi Sad,Faculty of Technical Sciences

&University of Montenegro,Faculty of Science, Podgorica

9th Workshop JCSE

Experiences in Teaching Data Experiences in Teaching Data Warehouse Systems within the Warehouse Systems within the

Computer Science and Software Computer Science and Software Engineering CurriculumEngineering Curriculum

JCSE W-2009 / Ivan Luković Neum, 30. 8 – 6. 9. 2009. 2 / 24

Agenda

• Scope and Prerequisites• Goals and Plan• Results• Experiences


Scope and Prerequisites

• Faculty of Technical Sciences– Department of Computing and Control– Curriculum

• Computing and Control• Module: Computer Science and Informatics• accredited bologna program, type: 4 + 1

– Course• Data Warehouse Systems (DW Systems, for short)• I semester of Master Curriculum (actually, IX semester)• 3+2, 5 ECTS

– elective course

– the first performance: 2008/2009



• Curriculum– general background (fundamentals)

• mathematics, physics, electrical engineering, electronics, theory of systems, automation and control systems

• "strong", and "classical" approach• a wide room reserved for such courses

– constant organizational intention and "pressure" to extend it

– Computer Science and SE fundamentals• computer architecture, operating systems, computer

networks,• algorithms, programming techniques and paradigms,

databases, computer graphics,• software engineering, information systems, etc.



• Curriculum– closely related courses

• Software Modeling– VI semester, mandatory

• Software Design– VII semester, mandatory

• Databases– VII semester, mandatory

• Information Systems– VIII semester, elective

• Data Mining– IX semester, elective



• Implementation aspects– lack of real knowledge / awareness about

• organization system theory• management of organization systems• ERP, CRM, HR, financial management, etc.• project management• business process modeling and WfMS• quality assurance in organization systems• performance measurement and analysis of organization

processes



• Implementation aspects– prior students' experiences

• approximately a half of students are already employed or contracted for a job

• most of them believe that they "perfectly know" in advance– what knowledge they will need in software industry

– what are the real circumstances in software industry

– what will be the real circumstances in the future

• most of them believe that– they are very good in database design, but

– information system design is an easy and intuitive job

• they are usually strong and confident in their belief, but– the reality is much different from their belief, and

– some of them are not so strong in proper completing their duties


Agenda



Goals and Plan

• Data Warehouse Systems– Goals

• recognize wide variety of DW topics, and their usage domains

• recognize organizational, engineering (particularly SE), and technology issues in developing a DW system

• practice how to successfully specify and build a DW system in a given application domain

• become able for further self learning• become able for team working

– Methods• ex-cathedra, but motivating the students for a discussion• group exercises• practices trough a project in a selected application domain


Goals and Plan

• Data Warehouse Systems– Topics

• Fundamentals of DW, classifications and terminology• Planning, requirements and development of DW systems• Types and structures of database schemas for DW systems• Data management and ETL process in DW systems• Data aggregation in DW systems• Physical data organization in DW systems• Fundamentals of Business Intelligence, Data Mining and On-

Line Analytical Processing (OLAP)• OLAP functions and queries over a DW


Goals and Plan

• Data Warehouse Systems– Score system

Ex1 Ex2 Proj1 Test1 Atnd. Fin.Ex.

Max. 10 10 30 15 5 70 30 100

Adv.Min.

6 6 15 8 5 40 15 55

Points Grade

55 – 64 6

65 – 74 7

75 – 84 8

85 – 94 9

95 – 100 10


Goals and Plan

• Data Warehouse Systems– Score system

• Min. 30 points required from in-term requirements• Min. 55 points required to pass the whole exam• Final Exam, as any other requirement, is not mandatory


Agenda



Results

• Obtained from one year course performance• No. of students: 54

– No. of students that are selected Data Mining course at the same time: 24

• Attendance and initial requirements

Lesson attendance (average) 83.18%

Excercise attendance (average) 96.38%

Total attendance (average) 89.78%

Students with attendance 80% (47 / 54) 87.04%

Students with 30 pts from in-term reqirements 100.00%


Results

• Performance

Avg. No. of pts from in-term excercises 46.37 / 50 92.74%

Avg. No. of pts from test (theoretical knwldg.) 9.15 / 15 61.00%

Avg. No. of pts from final exam ("theoretical") 19.56 / 30 65.20%

No. of students passed till today 45 / 54 83.33%

No. of students passed without final exam 12 / 45 26.67%

Average No. of points 76.09 76.09%

Average final grade 8.22 82.20%


Results

• Performance– "extremes" (10, 9) vs. (6, 7) are significant


Agenda



Experiences

• General– there are always well-motivated students

• ready to learn something new and useful• ready to communicate well• ready to complete all the tasks in time

– sometimes, a lack of discipline• a culture of proper exercise attendance is present, but• problems with lessons attendance

– lesson attendance of 83.18% gives a false picture

– in some cases, it is just fighting for points and nothing more


Experiences

• Students' comments– positive

• everything is ok, nice to learn something new, etc.– in our circumstances, if something is performed in a proper

way, it is not commented at all, because it is ok!

• a very good experience with a student spending before a couple of months in Wien, Austria

– working on SAP system, in a large-scale company

– with excellent performance in her studies

– with perfect perceiving of motivation factors for DW

• a remarkable experience with self-motivated students– with excellent or very good performance in their studies


Experiences

• Students' comments– negative

• We don't need such kind of knowledge in practice!• Why do you force us to learn something that we really don't

need in practice?• The DW knowledge is applicable only in large-scale projects,

and even we don't have such projects in Serbia!• May be, DW projects will be present in Serbia in a far future!• We need a practice, why do you force us to learn theory

about DW?• Everything can be learned easily trough projects only! Why

theory?


Experiences

• Students' comments– Unfortunately, very false pictures are perceived

• DW systems are not necessarily large-scale– there is a plenty of "small" problems that may be resolved by

means of DW approach

• every day emerging opportunities for DW projects in Serbia and the region, and even more in EU

– new software companies come with primary business interests in DW systems

• a balance between theory and practice is a must in CS and SE

– software and system development is not an easy job;

– requires a theoretical knowledge and the abstraction principle

• if you think that you don't need some knowledge, it doesn't mean that you really don't need it


Experiences

• Some issues– problems with perceiving a real importance of the

topics and problems discussed throughout the course in an industry practice

• there is a noticeable difference between students having and not having and industry experience

– it seems that students mostly recognize as the important only the knowledge necessary for their first working years

• they primarily think how to target their first jobs• they sometimes do not perceive that they must survive and

be competitive on market for 40 years, not only for the first 5


Experiences

• Some issues– a whole picture about the DW knowledge is

"assembled" at the end of the course, or even latter• a significant raising of students' motivation at the very end of

the course

– a problem of having false pictures may be seen as a consequence of

• constrained life experience combined with bad economical situation for many years

• a lack of culture that "naturally" imposes respecting the organizational rules

• weak recognition of the importance of knowledge about system organization and management in the course of engineering


Experiences

• What we may / should do locally?– better profile CS and SE curriculum

• with a special care to the selection and design of fundamental courses

• more oriented towards body of knowledge in CS and SE• more flexible and multidisciplinary oriented

– create better opportunities for exchanging students between different institutions

• give them a chance to exchange experiences, attend other universities and meet early highly developed economies

– early motivate students to better• develop their capabilities for abstraction and adoption of

common theoretical principles• differentiate between more and less important things

Neum, 30. 8 – 6. 9. 2009.JCSE W-2009 / Ivan Luković

Ivan Luković,University of Novi Sad,Faculty of Technical Sciences

&University of Montenegro,Faculty of Science, Podgorica

9th Workshop JCSE

Experiences in Teaching Data Experiences in Teaching Data Warehouse Systems within the Warehouse Systems within the

Computer Science and Software Computer Science and Software Engineering CurriculumEngineering Curriculum

Ivan Luković, University of Novi Sad, Faculty of Technical Sciences & University of Montenegro,...

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