UNIVERSITY OF THE EAST
Caloocan
COURSE SYLLABUS IN FUNDAMENTALS OF BUSINESS ANALYTICS
Second Semester SY 2019-2020
Course Code
Course Title
Credit Units
Pre-requisite(s)
BBC 1102
Fundamentals of Business Analytics
Lecture
3
Course Code
NA
Course Title
Course Description
Business analytics (BA) is the practice of iterative, methodical exploration of an
organization's data, with an emphasis on statistical analysis. Business analytics is used
by companies committed to data-driven decision-making.
This course is designed to provide the students basic techniques of data science, that
included prominent algorithms used to mine data (e.g., clustering and association rule
mining), and basic statistical modeling (e.g., linear and non-linear regression). The course
is targeted towards learners and practitioners who would like to know the practices used
and the potential use of data analyses for fact-based business decision-making.
Course Objectives
The goal of this course is to introduce the main ideas, fundamental concepts, and key
algorithms in the fields of data analytics tools, data mining, and machine learning. The
course will prepare students to adapt to the big data era, to facilitate them to conduct
research in data science, and to be able to apply the introduced algorithms in their own
research areas.
Course Outline
1. Introduction of Business Analytics
2. Descriptive Statistics
3. Data Visualization
4. Linear Regression
5. Time Series Analysis and Forecasting
6. Data Mining
7. Spreadsheet Models
8. Linear Optimization Models
9. Integer Linear Optimization Models
10. Monte Carlo Simulation
11. Decision Analysis
Class Schedule
Session/
Topic
Date
1/
Course Orientation/
Introduction to
Business Analytics
2/
Descriptive Statistics
3/
4/
Data Visualization
Class Activity
Lecture/ Discussion
Lecture/ Discussion/
Computer Hands-on
Quiz/Seatwork
Lecture/ Discussion/
Computer Hands-on
Class Requirement
5/
Time Series Analysis
6/
PRELIM EXAM
7/
Forecasting
Lecture/ Discussion/
Computer Hands-on
Quiz/Seatwork
Linear Regression
Lecture/ Discussion/
Computer Hands-on
Quiz/Seatwork
11/
Data Mining
Lecture/ Discussion/
Computer Hands-on
12/
MIDTERM EXAM
13/
Spreadsheet Models
Class Presentation/
Discussion
Quiz/Seatwork
Linear Optimization
Model
Class Presentation/
Discussion
Quiz/Seatwork
17/
Monte Carlo Simulation
Class Presentation/
Discussion
18/
FINAL EXAM
8/
9/
10/
14/
15/
16/
Lecture/ Discussion/
Computer Hands-on
Written Examination/
Computer Hands-on Exam
Submission of Problem
Set No. 1
Written Examination/
Computer Hands-on Exam
Submission of Problem
Set No. 2
Submission of Problem
Set No. 3
Written Examination/
Computer Hands-on Exam
Requirements of the Course
1. Prelim Examination
2. Midterm Examination
3. Final Examination
4. Group Presentation
5. Problem Set/Case Problems Compilation
6. Attendance to at least 80% of class recitation time
Grading System
Cumulative System
Quizzes
33 1/3%
Class Standing 33 1/3% (Assignment, Exercises, Problem Set)
Term Exam
33 1/3%
Grade: (Previous term + Current term x 2)/3
Textbook
Camm, Jeffrey D. et al. Essentials of Business Analytics – Philippine Edition; Cengage
Learning; USA. 2019
References:
Quantitative Techniques for Business
Operations Research
Management Science
Statistics Textbook
ABNER A. AQUINO
BSECE (Wesleyan University)
MBA/ EDD (UE-Manila, Dissertation writing)
PhD Statistics (UP-Diliman, On-leave)
Cell Phone Number: 0929-2647719
Email Address: abneraquino_ue@yahoo.com
Facebook Account: Abner Aquino