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COURSE SYLLABUS

Business Intelligence 7.5 credits

Business Intelligence
Second cycle, D7044E
Version
Course syllabus valid: Autumn 2021 Sp 1 - Present
The version indicates the term and period for which this course syllabus is valid. The most recent version of the course syllabus is shown first.


Education level
Second cycle
Grade scale
U G VG *
Subject
Systems Science
Subject group (SCB)
Informatics/Computer and Systems Sciences
Main field of study
Information Systems Sciences

Entry requirements

In order to meet the general entry requirements for the course, you must have accomplished a minimum of 120 ECTS of university studies, out of which 60 ECTS in the areas of computer or system science. The studies shall have included Introductory Programming (for example D0009E Introduction to Programming or D0007N Objectoriented programming) and Fundamentals of Databases (for example D0004N Database Systems I or D0018E Database Technology) . Knowledge in English, equivalent to English 6.


More information about English language requirements


Selection

The selection is based on 20-285 credits



Course Aim

The objective of the course is for the student to develop their knowledge and skills in Business Intelligence. After passing the course, the student should be able to:

[1].   Explain and use the concepts in business intelligence

[2].  Describe the business intelligence evolution and components

[3].  Explain how decisions are made in organizations

[4].  Evaluate a business intelligence system

[5].  Analyze and reflect on the relationship between its components, current and future

[6]. Plan how to manage a business intelligence project


Contents

The course is an introduction to the multidisciplinary field of data science. The focus of the course is on organizational decision making and how they should be supported, while doing so the course takes into account various viewpoints and paradigms. The course covers a wide spectrum of topics such as: data warehousing, big data, type of data, type of decisions, and how to manage a business intelligence project.


Realization

Lectures, labs, assignments, case studies and/or project work. Laboratory work requires access to very high computational capacity. During the course, the students work with individual tasks and/or group work. Some assignments or case studies in the course might contain work in contact with or about the industry. The student uses different methods and techniques, and it is important to choose the right method, technique or computer support for each task. Before and after the tasks are solved, there are lectures to present and discuss different solutions. 


Examination

Through individuals tests, as well as individual and group/project assignments, different student abilities are examined. Those are: the ability to explain and use business intelligence tools and frameworks and the ability to address business problems using business intelligence individually and in groups.


Remarks

Technical Requirements: access to PC with Windows XP, microphone, Web cam and permission to install software. Internet connection (minimum 0,5 Mbps).


Examiner
Ahmed Elragal

Literature. Valid from Autumn 2019 Sp 1
Main literature:
Ramesh Sharda,‎ Dursun Delen,‎ & Efraim Turban. Business Intelligence, Analytics, and Data Science: A Managerial Perspective (4th Edition), 2017, Pearson. ISBN-13: 978-0134633282.

Complementary literature:
Provost, F. and Fawcett, T. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking, 2013, O’Reilly Media, CA, USA.
Larissa Moss & Shaku Atre. Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications. Addison-Wesley Professional, 2003.

Course offered by
Department of Computer Science, Electrical and Space Engineering

Modules
CodeDescriptionGrade scaleCrStatusFrom periodTitle
0001Individual examU G VG *4.00MandatoryA19
0002Individual tasksU G#1.50MandatoryA19
0003Group/Project workU G#2.00MandatoryA19

Study guidance
Study guidance for the course is to be found in our learning platform Canvas before the course starts. Students applying for single subject courses get more information in the Welcome letter. You will find the learning platform via My LTU.

Syllabus established
by Jonny Johansson, HUL SRT 21 Nov 2018

Last revised
by Jonny Johansson HUL, SRT 03 Dec 2020