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CIS 405: Business Analytics Winter Quarter 2015 PROFESSOR INFORMATION Professor: Dr. Christie Fuller Email: [email protected] Office hours: My office is 205 in the College of Business Monday 8:30-11:30, 1-2 Tuesday 8:30-11:00 Wednesday 9:00-11:30, 1-2 Phone: (318) 257-4011 Course Description: Fundamentals of Business Analytics will be examined. Topics will include problem definition, data preparation, and the use of analytic techniques to solve business problems. Prerequisite: QA 233 Learning Objectives At the completion of this course students will: Understand the importance of business analytics in today's business environment Be able to identify sources of data for analysis Understand the fundamentals of preparing data for analysis, such as data scrubbing, consolidation and transformation Learn the most common types of business analytics algorithms, such as classification, estimation and clustering, and understand where each is applicable Learn to use appropriate software packages Complete basic exercises in business analytics utilizing real-world data Required Text: Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (3rd Edition) by Gordon S. Linoff and Michael J. A. Berry. ISBN: 0470650931 Required materials: A flash drive will be required for submission of your final team project. Required software: IBM Modeler will be used for this class. It will be available in room 104, via remote desktop connection and in the Cyber Forensics Lab (COBB 104A). You will be issued a key fob for access to the Cyber Forensics Lab. Access to the Cyber Forensics Lab is a privilege. Only CIS 405 students will have access to this lab. You may not give access to friends and other students. Inappropriate behavior in the lab will result in revocation of your access privileges. Details for fob checkout and remote access to the software will be provided in class and on Moodle. Individual Assignments: There will be three to four homework assignments related to the course content, in addition to the group project. Assignments will be posted on Moodle. All assignments must be turned in by the date and time specified by your instructor. Assignments are typically due at the beginning of the class period. If you are late to class, your work may not be accepted. Late work will receive a score of zero. Exceptions to this policy are rare and will be made only under extreme and unusual circumstances. If such an exception is made, related documentation must be submitted to the instructor within 7 calendar days of the original due date or by the last day of the quarter, whichever is sooner. All homework assignments (aside from the group project) are individual assignments. While you may ask me or your classmates questions, the work submitted should be your own. I recommend that you retain any returned assignments. Group Project: In addition to individual assignments, there will be a group project and presentation in this course. Details will be posted on Moodle and discussed in class. Teams will be assigned by your professor. There will be a peer review component to the group project grade, which may increase or decrease the points an individual student receives for the group project. Failure to submit required peer review forms by the deadline specified by your instructor will result in a subtraction of 10% (8 points) of an individual's grade for the term project. The amount by which peer reviews may increase an individual student's grade for the term project is 10%. There is no limit as to how much the peer reviews may decrease an individual student's grade for the project. The instructor reserves the right to disregard anomalous ratings. Exams:We will have 2 exams. If you must miss a test for any reason, you must let me know ahead of time, except in the case of an emergency. If you miss the test for an unexpected reason, you must contact me as soon as you can after the test date. If you have an unexcused absence on a test day, you will get a zero on that test. If you have an excused absence for a test day, you will be allowed to take a comprehensive make up test at the end of the quarter. All students eligible to take the makeup exam must take the makeup exam by 5pm on Friday, February 27. You may be required to document the reason for your absence in order to have the absence excused and to be eligible for the makeup exam. Test dates will be announced in class. Documentation must be submitted to the instructor within 7 calendar days of the absence or the last day of classes, whichever comes sooner. If you have an excused absence for more than one exam, you will be required to take a separate comprehensive makeup exam for each excused exam absence. You do not need to bring a scantron form for exams. Grades: Exams 200 Assignments 120 Term Project and Presentation 80 Total 400 The grade scale for this class will be as follows: A = 90-100% 360.00 points and above B = 80-89% 320.00-359.99 points C = 70-79% 280.00-319.99 points D = 60-69% 240.00-279.99 points F = Below 60% Below 240 points Attendance I accordance with university policy, attendance will be taken at the beginning of each class period. Anyone not present at that time will be marked absent. Do not disrupt class by asking to be marked present, if you were not in present at the beginning of class. Participation and Professionalism As business students, it is important that you be able to conduct yourself in a professional and courteous manner. Please refer to the College of Business Student Responsibilities for details on appropriate classroom decorum. Additionally, no laptops, tablets, cell phones, smart phones, pdas or other electronic devices will be allowed in class. There may be certain times where your instructor allows access to electronic devices to facilitate a classroom exercise. Only at these specified times will electronic devices be allowed. These devices must otherwise be turned off and put away. If an electronic device is visible during an exam, it will be presumed that you are cheating on the exam and you will receive a zero for the exam. You may have an opportunity to review the exam in class. If an electronic device is visible during an exam review period, it will be presumed that you are engaged in academic dishonesty and you will receive a zero for the exam. The professor will provide a place for you to store any electronic devices during the exam and exam review if you do not have a suitable place to put the device so that is not visible. Further, the lab computers may only be used at times specified during your instructor. Tentative Course Outline Topic Chapter or Date What is Data Mining and Why Do It? Chapter 1 Data Mining Applications in Marketing and Customer Relationship Chapter 2 Management The Data Mining Process Chapter 3 Statistics 101: What You Should Know About Data Chapter 4 Descriptions and Prediction: Profiling and Predictive Modeling Chapter 5 Classification Chapters 6,7,8 Test 1 January 12 or 14 Estimation Chapters 6,7,8 Survival Analysis Chapter 10 Automatic Cluster Detection Chapter 13 Market Basket Analysis and Association Rules Chapter 15 Customer Signatures (Replacing Missing Data) Chapter 18 Derived Variables Chapter 19 Text Mining Chapter 21 Test 2 February 9 Term Project due February 26 Term Project Presentations March 2 Please note: For many chapters listed, we will cover only a portion of the text. Academic Integrity Students are expected to read, understand, and adhere to the Louisiana Tech Academic Honor Code. Violations of the honor code will be reported. In accordance with the Academic Honor Code, students pledge the following: Being a student of higher standards, I pledge to embody the principles of academic integrity. Students with disabilities Qualified students needing testing or classroom accommodations based on a disability are encouraged to make their requests to me at the beginning of the quarter either during office hours or by appointment. Note: Prior to receiving disability accommodations, verification of eligibility from the Testing and Disability Services Office is needed. Disability information is confidential. Information for Testing and Disability Services may be obtained in Wyly Tower 318 or www.latech.edu/ods Disaster preparedness In the event that a disaster or other emergency results in campus closure, this course will continue via moodle. You will be required to login to http://moodle.latech.edu for further instructions. You may also refer to http://www.latech.edu or http://www.latech.info for updates. All Louisiana Tech students are strongly encouraged to enroll and update their contact information in the Emergency Notification System. It takes just a few seconds to ensure you’re able to receive important text and voice alerts in the event of a campus emergency. For more information on the Emergency Notification System, please visit http://www.latech.edu/administration/ens.shtml The instructor reserves the right, when necessary, to modify the syllabus: alter the grading policy, change examination dates, and modify the course content. The instructor also reserves the right to assign seats. Modifications will be announced and discussed in class. Students are responsible for those changes.