Spring 2022  |  IDSC 6446 Section 060: Business Analytics for Managers II (57982)

Instructor(s)
Class Component:
Lecture
Credits:
2 Credits
Grading Basis:
A-F only
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Online Course
Enrollment Requirements:
MBA /Mgmt Sci student, IDSc 6444 or & 6444
Times and Locations:
Second Half of Term
 
03/15/2022 - 05/02/2022
Mon 05:45PM - 09:05PM
UMTC, West Bank
Hanson Hall 1-105
Enrollment Status:
Open (17 of 48 seats filled)
Also Offered:
Course Catalog Description:
This course builds upon IDSC 6444 "Business Analytics for Managers I" course. While IDSC 6444 focuses on the fundamental and most widely used data mining/analytics techniques, IDSC 6446 "Business Analytics for Managers II" delves into a number of other current and emerging data mining/analytics areas that are becoming increasingly important for modern organizations. Such areas include advanced elements of predictive modeling process, cost-aware data mining/analytics, mining text and Web data, advanced data mining techniques, and other advanced topics. This course promotes practical data-analytic thinking and decision making, covers a number of fundamental issues, and introduces students to a number of analytics techniques in the aforementioned areas. The students will be able to apply these techniques to design and test data mining models in different settings, using real world datasets. This course will also discuss the value of advanced data mining/analytics in a variety of organizational contexts and business applications.
Class Description:
This course builds upon IDSC 6444 "Business Intelligence" course. While IDSC 6444 focuses on the fundamental and most widely used data mining, data analytics, and personalization techniques, IDSC 6446 "Advanced Business Intelligence" delves into a number of other current and emerging data analytics areas that are becoming increasingly important for modern organizations. Such areas include mining text and Web data, temporal data analytics, and advanced data visualization. This course covers a number of fundamental issues and introduces students to a number of analytics techniques in each of these areas. The students will be able to apply these techniques in different settings, using real-world datasets. This course will also discuss the value of advanced data analytics in a variety of organizational contexts and business applications.
Who Should Take This Class?:
IDSC 6444 is reserved for MBA students. If you are a non-MBA student seeking to take this course, fill out the petition form found at goo.gl/9Y9PR5. Additional information, including petition deadlines, can be found at http://carlsonschool.umn.edu/degrees/master-business-administration/part-time-mba/admissions/mba-course-petition-form
Learning Objectives:
1. Students will demonstrate knowledge of several advanced data analytics techniques in the areas that include:
 Text and Web mining (i.e., extension of traditional data mining approached to unstructured data, such as text);
 Temporal data analytics (i.e., analysis of time-dependent or time-varying data);
 Advanced data visualization (i.e., interactive techniques for discovering patterns and relationships in large-scale data).
2. Students will demonstrate competence in applying the advanced business intelligence techniques to real-world problems.
3. Students will understand the benefits of advanced business intelligence and data analytics techniques for modern organizations.
Textbooks:
https://bookstores.umn.edu/course-lookup/57982/1223
Instructor Supplied Information Last Updated:
8 February 2017

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