1 Course objectives and content

Transcription

1 Course code Main field of study Course title INFN45 Informatics; Information Systems Business Intelligence Credits 7.5 Level (Cycle) Code for the depth of study relative to the degree requirements Language of instruction Advanced level A1N English 1 Course objectives and content The objective of this course is for the students to achieve a profound understanding of Business Intelligence (BI) systems in terms of its tools, current practices and impacts. The students should acquire knowledge on how to design BI solutions for different BI targets and users. Learning outcomes On completion of the course, students shall have achieved the following: Knowledge and understanding For a pass on the course, students must demonstrate knowledge about and understanding of K1- organizational and individual decision-making K2 key concepts and current practices of business intelligence K3 the individual, organizational and societal impacts of BI systems K4 - analytical techniques used in business intelligence systems K5 - integration of business intelligence into decision-making processes K6 big data and analytics K7 data visualization techniques K8 - future trends of business intelligence Competence and Skills For a pass on the course, students must demonstrate the ability to C1 use BI systems and technology to support decision making C2 design and build BI applications based on users needs C3 - identify business and technical requirements for a BI solution 1(6)

2 C4 - apply relevant theories, concepts and techniques to solve real-world BI problems C5 - perform data analyses C6 visualize the results of data analyses Judgment and approach For a pass on the course, students must demonstrate the ability to J1 critically evaluate the limitations and possibilities of BI technology J2 evaluate BI impacts on decision-making processes and on organizations Course content Business intelligence (BI) is a broad category of applications, technologies, and processes for gathering, storing, accessing, and analyzing data to help business users make better decisions and take actions. Many companies recognize the importance of corporate data and information and decide to implement BI due to the increased competition and its significant impact on their performance. BI is one of the current hot topics and although the IT investments have decreased in the recent years, BI is still dominant in IT leaders agenda and it is positioned as the most important of application and technology developments. The BI targets differ in terms of their focus, scope, level of sponsorship, commitment, and resources required, technical architecture, impact on personnel and business processes, and benefits. In this course BI is explored at both the micro and macro levels. At the micro level, the course concentrates on design of BI solutions. At the macro level, implementing BI enterprise-wide is investigated. Issues related to BI data management (from separate BI databases to real-time data warehousing), meta-data, data quality, BI governance, and BI benefits are addressed. Contemporary BI trends will be covered. The trends include scalability (more data, more users, and more complex queries), pervasive BI, operational BI, and the BI-based organization (how organizations can compete on analytics). 2 Grading scale The applies a system of criterion-referenced grades according to which the letters A to E signify passing grades and the letter U a fail (please see table below). Grade Definition Marks (% out of maximum) Criteria A Excellent An excellent result in terms of theoretical depth, B Very good A very good result in terms of theoretical depth, 2(6)

3 C Good A good result in terms of theoretical depth, practical relevance, analytical ability and D Satisfactory A satisfactory result in terms of theoretical depth, E Sufficient A result that satisfies the minimum requirements with regard to theoretical depth, practical relevance, analytical ability and independence, but not more. U Fail 0-49 An inadequate result with regard to theoretical depth, Grading rules Test grading a) The grades A to E and U are applied to exams which are awarded different passing grades and credits according to the table above. b) The grades A to E and U are applied to exams which are awarded different passing grades but no credits. c) The grades U and G (Fail and Pass) are applied to exams which are not awarded different passing grades. Final course grading A final grade for the course will be awarded when all tests have been successfully completed. The grade calculation is based on the test grades A- E. Each letter is given a numerical value in accordance with the table below. Grade Value A 15 B 14 C 13 D 12 E 11 The test values are multiplied by the number of hec for each test and added together. The result is then divided by the total number of hec of the A-E tests, and any decimals will be rounded off to whole numbers. This final figure indicates the final grade in the table above. 3(6)

4 3 Teaching and examination The teaching will be in the form of modules, consisting of lectures, seminars, labs and assignments. Required tests Individual alt. group work Credits Grade Seminars Individual 1 U-G Assignment Individual 2 A-U Labs Group 1.5 U-G Projects Group 3 A-U Re-exams will be held in close proximity to the ordinary examination period. Academic misconduct such as cheating, plagiarism, fabrication and falsification is considered a serious offence in higher education (see Chapter 8 of the Higher Education Ordinance). The disciplinary measures that may be taken as a result of such offences are caution or suspension for a limited period of time from the university (and all the faculties of the university). The relation between examination and learning outcome: Examination Seminars Assignment Learning outcomes K2 key concepts and current practices of business intelligence K5 - integration of business intelligence into decision-making processes K8 - future trends of business intelligence C4 - apply relevant theories, concepts and techniques to solve real-world BI problems K1- organizational and individual decision-making K3 the individual, organizational and societal impacts of BI systems J2 evaluate BI impacts on decision-making processes and on organizations Labs Projects K4 - analytical techniques used in business intelligence systems K6 big data and analytics K7 data visualization techniques C1 use BI systems and technology to support decision making J1 critically evaluate the limitations and possibilities of BI technology C2 design and build BI applications based on users needs C3 - identify business and technical requirements for a BI solution C5 - perform data analyses C6 visualize the results of data analyses 4(6)

5 4 Specific admission requirements Completed courses INFA16, INFB03 and INFK11 and in addition 15 credits in Informatics/Information Systems at Bachelor level or the equivalent. English B. An exception for the general entry requirement in Swedish will be granted when the course is given in English. 5 Further information Regarding transitional regulations, please contact the study advisor for an individual evaluation. Should the course be discontinued, the possibility for examination might be limited. Please contact the study advisor for information. 6 Amendments 7 Reading list Please see the appendix. 5(6)

6 READING LIST Business Intelligence, 7.5 hp Compendium of articles.. 6(6)