Whenever possible, I will announce changes to the course via the Canopy announcement function.

Transcription

1 Course Information: Title: Business Intelligence Course #: IS Credit Hours: 3 Term: Spring, nd Term February 29, 2016 April 24, 2016 Tuesday s 6:00 9:50, Lindner 215 Prerequisites: IS6030 or IS7030 with a minimum grade of C Instructor Information: Name: Dina Maqsud Title: Adjunct Professor Office Information: Linder, Room 106 Office: (513) maqsuddm@ucmail.uc.edu Office Hours: Tuesdays 5-6 PM EST and by appointment Communication Policy: You are encouraged to contact me anytime via . is the best way to communicate with me. I intend to reply your s within 36 hours. Therefore, I expect the same courtesy from you. will be a very important mode of communication in this class as we meet only once/twice a week. Please start your subject line of your s with IS University policy requires that the set up in Blackboard is the primary means of communication. It is advisable that you use your UC for this purpose and that you check it often. If you choose to change your in Blackboard to a non-uc it is your responsibility to ensure you check it frequently. Please see the attached Student Policy for more information: Whenever possible, I will announce changes to the course via the Canopy announcement function. Campus Closures: In the event of inclement weather and the university is closed, we will have course via Webex and the start time will be ½ later than normal. All course assignments and activities will remain as scheduled in the course syllabus. Class Conduct: One of our goals in the College of Business is to prepare you for a professional career and we wish to instill good habits through insisting on a high level of conduct in all your classes. The following behaviors are anticipated and expected in this class:

2 Attend the class. Be attentive. Participate. Be prepared. Be on time. o In attendance o In turning in assignments Be respectful. Silence Mobile Devices. Listen when others are speaking. Have Integrity. Be honest. Plagiarism / cheating will not be tolerated! o As with all Lindner College of Business efforts, this course will uphold the highest ethical standards, critical to building character (the C in PACE). Ensuing your integrity is vital and your responsibility. o LCB instructors are required to report ANY incident of academic misconduct (e.g., cheating, plagiarism) to the college review process, which could result in severe consequences, including potential dismissal from the college. For further information on Academic Misconduct or related university policies and procedures, please see the UC Code of Conduct ( PACE - This course aligns with PACE, the Lindner College of Business platform for developing the total business professional. P Professionalism Enhance oral & written communication, express ideas clearly, logically and persuasively. Develop and practice teamwork skills through group projects and exercises. Practice professional habits of punctuality, preparation, respect and participation. A Academics Develop foundational knowledge of core business functions and their interactions within firms. Begin applying functional and cross-functional knowledge to critically analyze business problems; for example applying techniques for business plan development. C Character Learn and apply leadership techniques for project management (plan, brief, execute, debrief). Build an understanding and initial skills of managing diversity, including understanding cultural differences, and challenges and opportunities of global business.

3 Understand importance of ethics and social responsibility in business and personal settings. E Engagement Build understanding of importance and practices of networking through interactions with business professionals and guest speakers. Develop awareness and appreciation of involvement in social organizations, community service, and professional group opportunities. Disability: Students with disabilities who need academic accommodations or other specialized services while attending the University of Cincinnati will receive reasonable accommodations to meet their individual needs as well as advocacy assistance on disability-related issues. Students requiring special accommodation must register with the Disability Services Office. Course Materials Ramesh Sharda, Dursun Delen, and Efraim Turban: Business Intelligence and Analytics Systems for Decision Support 10th Edition, Pearson, Course Description: This course is designed for the comprehensive learning of data warehousing technology for business intelligence. Data warehouses have been created to store (archive) data from operational information systems. In the last 10 years, this information technology has matured and found to be very useful in generating valuable control and decision-support business intelligence for many organizations in adjusting to their competitive business environment. As a result, there is now a fairly stable body of knowledge about the design, development and operation of data warehouses, which you will learn in this course. Moreover, students will apply and integrate the business intelligence knowledge learned from IS7034 in SAP Business Intelligence suite. This course also includes several case studies and a term project. Student Learning Objectives: Know business intelligence terminology and definitions Understand key issues of managerial decision making Understand the foundations and technologies for decision making Be able to explain ETL Understand data warehouse administration and security issues Be able to define business reporting Be able to create basic meaningful visualizations Know the capabilities and limitations of dashboards Comprehend query, reporting, and BPM Instructional Methods:

4 The following course utilizes the Blackboard (Bb) Learning Management System to provide student-centered online learning that will enhance the teaching and learning process. Through a variety of instructional methods (e.g. discussion boards, video lectures, readings, online assessments, etc.) the learner will become immersed and engaged in the learning process. If you are not familiar with these tools, please visit Course Administration: You are expected to come and prepare for every class by reading the weekly lecture assignments that will be posted in the Canopy. Class lectures will discuss extensively on the key concepts and ideas of each topic with additional insight. Most importantly, class lectures will clarify students' questions and initiate the lively discussion. I will create an active education environment to motivate you to understand and apply the information technologies for BI implementation. Therefore, attendance and class participation are critical. Absence for a class does not relieve you of your responsibility for the subject matter, assignments when they are due, and other course-related issues discussed during that class period. "A" students must attend all classes and actively provide thoughtful and relevant comments to class discussions. Homework Assignments and Exams: 1 Quiz each week except weeks 4 and 7 50 points Week 4 Midterm Exam 200 points Week 7 Final Exam 200 points Homework due in weeks 2, 3, 4, 5, 6 50 points Project 200 points There are no scheduled make-up tests, so it is important that you take all tests at their scheduled times. If you have a problem with a test date for a valid reason like a last minute accident or illness, you must contact the instructor immediately by or phone before the actual test time. Failure to do so will mean getting a zero score. Late submissions of homework cannot be accepted unless there is a real emergency (job interviews don't qualify) AND prior permission of instructor has been obtained. You may appeal any score on a test or an assignment, but such appeal must be made in writing or in person within one week from the time the test or homework is returned to the class. Course Grade: Your final course grade will be determined as: Quizzes 10% Homework 10% Project 25% Midterm 25% Final 30%

5 Evaluation: The final grade will be based on the percentage of the total possible points awarded as follows: Grade Low Score High Score Grade Low Score High Score A C A C B D B D B D C F 0 59 Course Schedule: Module Topics Readings & Assignments Syllabus and Course Logistics Business Intelligence, Analytics and Decision Chap 1 1 March 1 Support: Overview Foundations and Technologies for Decision Making Chap 2 Quiz 2 March 8 Data Warehousing Definitions, ETL Chap 3 ( ) 3 March 15 Data Warehousing Chap 3 ( ) March 22 Spring Break 4 March 29 Review of Homework, Midterm Business Reporting Definitions, Concepts, Chap 4 ( ) Visualization 5 April 5 Charting & Dashboards Chap 4 ( ) 6 April 12 Performance Management, Balanced Scorecards, Chap 4 ( ) Six Sigma 7 April 19 Review of Homework Project Due April 26 Final