Syllabus and Course Description
Fall/Spring Semester of the Academic Year of Spring, 2016
Course Title：(Chinese)商業分析 / Department/Institute / IBM and GMBA
(English) Business Analytics / Permanent Course ID / IBM 6167
Instructor: Sule Balkan
Credits / 3 / Required/Elective / E / Year of Students (for undergraduate courses)
Required competence or courses that must be previously taken by students:
NA
Course Descriptions and Objectives:
This course is about Business Analytics at Managerial and Strategic level. Business Analytics is understanding company’s core competencies and what is required to rapid learning and value creation. It is having the right data and information at the right time for the right people. How we make decisions using huge, noisy data requires business analytics (Laursen, Thorlund). The objective of the class is understanding analytical perspective on data, on methods and processes, and on people. Students will be assigned chapter readings, journal articles, tutorials and cases to understand these concepts.
Textbooks (please specify titles, authors, publishers and year of publication) / Business Analytics for Managers (Wiley & SAS Business series) Gert H.N. Laursen, Jesper Thorlund, 2010
Journal articles, tutorials and cases from
Teradatauniversitynetwork.com
Course Contents / Hours / Remarks
Topics / Outlines / Lectures / Demon-
stration / Experiment / Others[i]
1.BA Model
2.Case Studies
3. BA at Strategic Level
4. BA at Functional Level
1. Microstrategy
2.Tableau
3. SAS
4.Clarabridge
Description of Course Details:
Lectures : Portions of class sessions will be devoted to traditional “lectures” and discussions around concepts, frameworks, and models that may be applied to a real-life situation described in the case study.
Hands on Exercises: Portions of a few class sessions will be devoted to technologies that underlie BI systems – data warehousing, data mining, business process management – including hands-on computer use to further the understanding of concepts introduced in the class.
Student Presentations/Discussions: Student teams will be asked to make a presentation in front of the class to provide a deeper understanding of a topic or to illustrate relevance of the topic to real-life situations. Homework assigned will mainly consist of preparing such presentations or Chapter Quizzes
In-class Work: Students will be asked to work individually or in teams on topics of the day, do problem solving, generate ideas, write short answers to questions, etc.
Quizzes: 150 points (15X10) Quiz from the readings that will be discussed that day. If you will be absent from the class please provide proper documentation.
Homework and Assignments: 150 points (50X3): Homework assignments will be given. Students will share their work in class in rotation.
Group Project 200 pts.: More detail will be provided
Office Hours / Time Slot / Location / Contact Information
Tuesday 9:30-12:30 Thursday 9:00-12:00 / M116
Syllabus
Week / Date / Contents/Topic
1 / Meet and greet
Syllabus Review
2 / · What Does BA Mean?
· Data Scientist vs Business Analyst
· Analytical Skills Used by data Scientists
3 / · BI vs BA- Overview of BA Model
· Profiling, Correlation Analysis, Trend Analysis, Sizing, Segmentation
4 / · Case Study: A trip to the Summerhouse
5 / · Hypothesis Driven Methods of BA
6 / · Data Mining with Target Variables
7 / · Explorative Methods
8 / · Microstrategy)
9 / · Tableau Tutorial
10 / · SAS VA
11 / · Social Media Analytics assignment
12 / · Predictive Analytics
· Regression, Decision Tree, Segmentation, Neural Networks
13 / · Correlation vs. Causation
14 / · Analytics Driven Campaign Management
15 / · Calculation of Value Added of Business Analytics
16 / · Big Data and BA- How to Incorporate Big Data to DW
17 / Group Presentations
18 / Group Presentations
Remarks：
1、Inclusive of visiting institutes/organizations outside the NCTU or other academic events.
2、Please adhere to pertinent regulations/laws on intellectual property rights. Do not use pirated textbooks.
[i]