COURSE SYLLABUS Business Intelligence 7.5 credits Business Intelligence Second cycle, D7044E Version Autumn 2019 Sp 1 - Spring 2021 Sp 4Autumn 2021 Sp 1 - Present Course syllabus valid: Autumn 2021 Sp 1 - PresentThe 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 requirementsIn 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 SelectionThe selection is based on 20-285 creditsCourse 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 projectContents 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).ExaminerAhmed ElragalLiterature. 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. Search books in the library » Course offered byDepartment of Computer Science, Electrical and Space EngineeringModules CodeDescriptionGrade scaleCrStatusFrom periodTitle 0001Individual examU G VG *4.00MandatoryA19 0002Individual tasksU G#1.50MandatoryA19 0003Group/Project workU G#2.00MandatoryA19 Study guidanceStudy 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 establishedby Jonny Johansson, HUL SRT 21 Nov 2018Last revisedby Jonny Johansson HUL, SRT 03 Dec 2020