Business intelligence course syllabus pdf

Subject: Organizational Leadership & Decision Making

Question 1: Write 3+ Pages paper (APA format & 5 latest scholarly journal article references 2016 on words)

This week’s journal article focus on the how positive team culture can correct the impact of lagging leadership creativity. Additionally, we discussed how digital transformation leaders in regard to artificial intelligence (AI).

After reviewing the reading, please answer the following questions in your paper:

Q1. What is your definition of AI? Please explain.

Q2. What is your opinion of AI, is the technology currently available? Why or why not?

Q3. Please note at least four AI technologies, explain if they are truly AI or something else. Thoroughly explain your answer.

Q4. How is AI perceived as different in various industries and locations? Please explain.

***The paper must include an introduction, a body with fully developed content, and a conclusion.

Article 1: HAO MENG, ZHI-CHAO CHENG, & TIAN-CHAO GUO. (2016). Positive Team Atmosphere Mediates the Impact of Authentic Leadership on Subordinate Creativity. Social Behavior & Personality: An International Journal, 44(3), 355–368. http://search.ebscohost.com/login.aspx?direct=true&AuthType=shib&db=s3h&AN=114485096&site=eds-live&custid=s8501869&groupid=main&profile=eds_new

Article 2: Brock, J. K.-U., & von Wangenheim, F. (2019). Demystifying AI: What Digital Transformation Leaders Can Teach You about Realistic Artificial Intelligence. California Management Review, 61(4), 110–134. https://doi.org/10.1177/1536504219865226 http://search.ebscohost.com/login.aspx?direct=true&AuthType=shib&db=buh&AN=138097013&site=eds-live&custid=s8501869&groupid=main&profile=eds_new

Question 2: Write a 350+ word essay (APA format & 2 latest scholarly journal article references 2016 on words)

After completing the reading this week, we reflect on a few key concepts this week:

Q1. Discuss what performance management is and how it influences effective teams.

Q2. Review table 11.1 (refer attached "11.1.png"), define leadership behaviors (in your own words) and note which behaviors are beneficial at specific organizational activities (example: project planning, leading coworkers, etc…). Please note at least five organizational activities and be specific when responding.

Q3. Note at least two organizational capabilities and compare and contrast each.

Please be sure to answer all of the questions above.

Subject: Operational Excellence

Question 3: Create a 13 page PPT (APA format & latest scholarly journal article references 2016 on words)

For question details refer "OperationalExcellence PPT.docx"

NOTE: **** PLS follow the instructions to the point and pick relevant topics according to the subject

Subject: Business Intelligence

Question 4: Write a 1000+ word essay (APA format & 2 latest scholarly journal article references 2016 on words)

Part 1(100+ words): Compare the IoT with regular Internet.

Part 2(100+ words): Discuss the potential impact of autonomous vehicles on our lives.

Part 3(100+ words): Why must a truly smart home have a bot?

Part 4(100+ words): Why is the IoT considered a disruptive technology?

Part 5(200+ words): AT&T is active in smart city projects. Investigate their activities (solutions). Write a summary.

Part 6(200+ words): It is said that the IoT will enable new customer service and B2B interactions. Explain how.

Part 7(200+ words): Find information about Sophia, a robot from Hanson Robotics. Summarize her capabilities.

Question 5: Write a 400+ word essay (APA format & 2 latest scholarly journal article references 2016 on words)

Research Apple Home Pod. How does it interact with smart home devices? Alexa is now connected to smart home devices such as thermostats and microwaves. Find examples of other appliances that are connected to Alexa and write a report.

Question 6: Write a 400+ word essay (APA format & 2 latest scholarly journal article references 2016 on words)

Intelligent Systems and Ethics: Research the ethical issues of self-driving cars and offer opinions based on findings.

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Fall 2020 Second Bi-Term · ITS 531 B10 ·  Print · Last updated Nov 6, 2020 · Follow

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School of Computer and Information Sciences COURSE SYLLABUS

Course Information ITS531 - B10 Business Intelligence Fall 2020 Second Bi-Term Course Format: Online CRN: 11900

Instructor Information

Name: Michael Jones Email: michael.jones@ucumberlands.edu Phone: (229)798-3363 (If no answer, be sure to send questions to my email address) Office Location: Georgia Office Hours/Preferred Contact Times: Office Hours: By appointment

Course Description This course covers theories and applications of business analytics. The focus is on extracting business intelligence from firms' business data for various applications, including (but not limited to) customer segmentation, customer relationship management (CRM), personalization, online recommendation systems, web mining, and product assortment. The emphasis is placed on the 'know-how' -- knowing how to extract and apply business analytics to improve business decision-making.

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Course Objectives Upon completion of this course:

Perform business reporting and visual analytics

Understand management support system technologies

Understand foundations and technologies for decision making

Understand techniques for predictive modeling

Understand emerging trends and future impacts

Learner Outcomes

Understand the main components of collaborative systems, robotics, and AI support systems.

Compare and contrast predictive analytics with prescriptive and descriptive analytics.

Understand the key concepts in statistical modeling, visualization, and data mining.

Analyze the key concepts in text mining, sentiment analysis, big data, and cloud computing,

Analyze the components of knowledge systems, the Internet of Things, and Intelligent Applications.

Course Website Access to the course website is required via the iLearn portal on the University of the Cumberlands website: http://www.ucumberlands.edu/ilearn/ or https://ucumberlands.blackboard.com/

Required Books and Resources

http://www.ucumberlands.edu/ilearn/
https://ucumberlands.blackboard.com/
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Title: Business Intelligence and Analytics ISBN: 9780135192016 Authors: Ramesh Sharda, Dursun Delen, Efraim Turban Publisher: Pearson Publication Date: 2019-01-04 Edition: 11th ED.

Course Required text can be found and purchased via the UC Barnes and Noble Bookstore: https://cumber.bncollege.com/shop/cumberlands/page/find-textbooks

Suggested Books and Resources

Machine Learning with Python for Everyone ISBN: 9780134845647 Authors: Mark Fenner Publisher: Addison-Wesley Professional Publication Date: 2019-07-30

Analytics, Data Science, and Artificial Intelligence ISBN: 9781292341552 Authors: RAMESH. DELEN SHARDA (DURSUN. TURBAN, EFRAIM.), Dursun Delen, Efraim Turban Publication Date: 2020-05-22

Requirements and Policies Academic Integrity/Plagiarism

At a Christian liberal arts university committed to the pursuit of truth and understanding, any act of academic dishonesty is especially distressing and cannot be tolerated. In general, academic dishonesty involves the abuse and

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misuse of information or people to gain an undeserved academic advantage or evaluation. The common forms of academic dishonesty include:

Cheating – using deception in the taking of tests or the preparation of written work, using unauthorized materials, copying another person’s work with or without consent, or assisting another in such activities.

Lying – falsifying, fabricating, or forging information in either written, spoken, or video presentations.

Plagiarism—using the published writings, data, interpretations, or ideas of another without proper documentation

Plagiarism includes copying and pasting material from the internet into assignments without properly citing the source of the material.

Episodes of academic dishonesty are reported to the Vice President for Academic Affairs. The potential penalty for academic dishonesty includes a failing grade on a particular assignment, a failing grade for the entire course, or charges against the student with the appropriate disciplinary body.

Attendance Policy

Course enrollment and participation will be monitored and verified for all students during the first two weeks of classes. Lack of participation during this time may jeopardize enrollment status. Each student is expected to meet course expectations by completing the coursework required each week. Active participation and staying abreast of the material is essential to success. Program specific attendance policies may still apply.

Disability Accommodations

University of the Cumberlands accepts students with certified disabilities and provides reasonable accommodations for their certified needs in the classroom, in housing, in food service or in other areas. For accommodations to be awarded, a student must submit a completed Accommodations Application form and provide documentation of the disability to the Disability Services Coordinator (Mr. Jacob Ratliff, Boswell Campus Center, Student Services Office Suite, jacob.ratliff@ucumberlands.edu). When all paperwork is on file, a meeting between the student and the Coordinator will be arranged to discuss possible accommodations before accommodations are formally approved. Students must then meet with the Coordinator at the beginning of each semester before any academic accommodations can be certified for that

mailto:jacob.ratliff@ucumberlands.edu
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term. Certifications for other accommodations are normally reviewed annually.

Academic Appeal

Both undergraduate and graduate students have the right to challenge a grade. If discussions with the course instructor and department chair do not lead to a satisfactory conclusion, students may file a formal written appeal with the Vice President for Academic Affairs, who will forward the appeal to the chair of the Academic Appeals Committee. This formal written appeal must be filed by the end of the 4th week of classes in the next regular term following the term in which the course in question was taken. The Academic Appeals Committee then gathers information from the student, the instructor, and any other relevant parties. The Committee will deliver its recommendation on the complaint to the Vice President for Academic Affairs. After reviewing this recommendation and concurring or amending it, the Vice President for Academic Affairs will inform the student and instructor of the disposition of the complaint no later than the last day of classes of the term in which the complaint was filed. Records of all actions regarding academic grade appeals, including their final disposition, are maintained by the Vice President for Academic Affairs and the Academic Appeals Committee. (Undergraduate Catalog/Graduate Catalog)

Student Responsibilities

Students should:

Use University of the Cumberlands email system for all academic, administrative, and co-curricular communication between faculty, staff and peers. Check for email and class announcements using iLearn (primary) and University of the Cumberlands webmail (secondary) daily. Demonstrate Cumberlands Character in and outside the classroom per the University Mission & Vision Ensure you have consistent required technology for the course Participate in courses regularly to:

Find announcements and updates Complete assignments on time. Keep in mind that all deadlines use Eastern Standard Time (EST). Engage in discussion Connect with fellow students and faculty

Present written work in an academic and professional manner.

https://www.ucumberlands.edu/academics/academic-catalog
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Take examinations on the designated dates and times. Students should make arrangements with faculty before the designated date for any needed accommodations. Contact faculty or student success coordinator with questions or concerns.

Course Policies

1. The only authorized electronic means of academic, administrative, and co-curricular communication between University of the Cumberlands and its students is through the UCumberlands email system (i.e. Webmail). Each student is responsible for monitoring his/her University email account frequently. This is the primary email account used to correspond with you directly by the University; imperative program information is sent to this email account specifically from campus and program office.

2. Students should check for e-mail and class announcements using iLearn (primary) and University of the Cumberlands webmail (secondary).

3. Students are expected to find out class assignments for missed classes and make up missed work.

4. Students are expected to find out if any changes have been made in the class or assignment schedule.

5. Written work must be presented in a professional manner. �. Work that is not submitted in a professional manner will not be

evaluated and will be returned as unacceptable. 7. There is a craft to writing. Spelling, grammar, punctuation and diction

(word usage) are all tools of that craft. Writing at the collegiate level will show careful attention to these elements of craft.

�. Work that does not exhibit care with regard to these elements will be considered as inadequate for college writing and graded accordingly.

9. Students are expected to take the examinations on the designated dates. If you are unable to take the exam on the scheduled date and know in advance, you are to make arrangements with your professor before the designated date. If you miss the exam, you must have a legitimate reason as determined by your professor.

Recognizing that a large part of professional life is meeting deadlines, it is necessary to develop time management and organizational skills. Failure to meet the course deadlines may result in penalties. Keep in mind that all deadlines are set using Eastern Standard Time (EST).

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Late assignments will be accepted with a late penalty not exceeding Tuesday, December 08, 2020. Also note that late penalties are built within the assessment rubrics for both discussions and assignment so completing or posting work late will be assessed for overall class performance.

Course Activities and Experiences

Students are expected to:

Review any assigned reading material and prepare responses to homework assigned. Actively participate in activities, assignments, and discussions. Evaluate and react to each other’s work in a supportive, constructive manner. Complete specific assignments and exams when specified and in a professional manner. Utilize learned technologies for class assignments.

Connect content knowledge from core courses to practical training placement and activities.

Links to Support UC Academic Catalog: https://www.ucumberlands.edu/academics/academic-catalog UC Student Handbook: https://www.ucumberlands.edu/student-handbook Academic Resources & Writing Center: www.ucumberlands.edu/learningcommons Library: http://www.ucumberlands.edu/library/ Bookstore: https://cumber.bncollege.com/shop/cumberlands/home About University of the Cumberlands: https://www.ucumberlands.edu/about/presidents-welcome Instructions for Accessing, Downloading, and Activating Office 365 Pro Plus (free for UC Students): https://helpdesk.ucumberlands.edu/support/solutions/articles/7000045435

Course Evaluation

https://www.ucumberlands.edu/academics/academic-catalog
https://www.ucumberlands.edu/student-handbook
http://www.ucumberlands.edu/learningcommons
http://www.ucumberlands.edu/library/
https://cumber.bncollege.com/shop/cumberlands/home
https://www.ucumberlands.edu/about/presidents-welcome
https://helpdesk.ucumberlands.edu/support/solutions/articles/7000045435
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A student will be evaluated/weighted on the following basis: Mid-Term Exam and Final Exam (25%)

Each exam will consist of multiple-choice style questions and exam items will be derived primarily from lectures and readings. Exams will be available through iLearn but must be completed independently. See course calendar for due dates. Since there are two exams in this course, below is a specific breakdown of point allocation based on a possible 1000 points in the class:

Mid-Term Exam - (125 points) Final Exam - (125 points

Knowledge and Skill Papers and Discussions (75%)

Case Study Assignments and discussions will be given throughout the term. Assignments and discussions will come from reviewing literature and below is a specific breakdown of point allocation based on a possible 1000 points in the class.

Six (6) graded and case level discussions (62.5 points each totaling 375 points) Five (5) Knowledge and Skills Papers (62.5 points each totaling 312.5 points) One (1) Knowledge, Skills and Executive Program Practical Connection Paper (62.5 Points

Total point allocation for all work from exams, discussions, and assignments is - (1000 Points)

Grading Scale Graded work will receive a numeric score reflecting the quality of performance as given above in evaluation methods. The overall course grade will be determined according to the following scale:

A= 900 – 1000 (90% - 100%) B= 800 – 899 (80% - 89%) C = 700 – 799 (70% - 79%) F < 699 (Below 69%)

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Course Schedule

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IT531 - Course Schedule

Grading Category Activity Title Due Date

Grade Allocations

Week 1: Overview of Business Intelligence, Analytics, Data Science, and Artificial Intelligence / Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications

Required Readings

Chapter 1 & Chapter 2 (Analytics, Data Science & Artificial Intelligence)

Tuesday, October 20, 2020

0

Discussion Graded Discussion: Getting to Know You (InitialPosting) Wednesday, October 21, 2020 62.5Discussion

Peer Replies

Graded Discussion: Getting to Know You (Peer Replies)

Saturday, October 24, 2020

Graded Assignment Knowledge and Skills Paper

Sunday, October 25, 2020

62.5

Week 2: Nature of Data, Statistical Modeling, and Visualization / Data Mining Process, Methods, and Algorithms

Required Readings

Chapter 3 & Chapter 4 (Analytics, Data Science & Artificial Intelligence)

Tuesday, October 27, 2020

0

Discussion Graded Discussion: Business Intelligence (BI)(Initial Posting) Wednesday, October 28, 2020 62.5Discussion

Peer Replies

Graded Discussion: Business Intelligence (BI) (Peer Replies)

Saturday, October 31, 2020

Graded Assignment Knowledge and Skills Paper

Sunday, November 1, 2020

62.5

Week 3: Machine-Learning Techniques for Predictive Analytics / Deep Learning and Cognitive Computing

Required Readings

Chapter 5 & Chapter 6 (Analytics, Data Science & Artificial Intelligence)

Tuesday, November 3, 2020

0

Discussion Graded Discussion: Neural Networks (InitialPosting) Wednesday, November 4, 2020 62.5Discussion

Peer Replies

Graded Discussion: Neural Networks (Peer Replies)

Saturday, November 7, 2020

Graded Assignment Knowledge and Skills Paper

Sunday, November 8, 2020

62.5

Week 4: Text Mining, Sentiment Analysis, and Social Analytics/Prescriptive Analytics: Optimization and Simulation

Required Readings

Chapter 7 & Chapter 8 (Analytics, Data Science & Artificial Intelligence)

Tuesday, November 10, 2020

0

Exam Mid-Term Exam Sunday, November 15, 2020

125

Week 5: Big Data, Cloud Computing, and Location Analytics/Robotics

Required Readings

Chapter 9 & Chapter 10 (Analytics, Data Science & Artificial Intelligence)

Tuesday, November 17, 2020

0

Discussion Graded Discussion: Analytics and Big Data (InitialPosting) Wednesday, November 18, 2020

62.5

Discussion Peer

Graded Discussion: Analytics and Big Data (Peer Replies)

Saturday, November

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Replies 21, 2020

Graded Assignment Knowledge and Skills Paper

Sunday, November 22, 2020

62.5

Week 6: Group Decision Making, Collaborative Systems, and AI SupportKnowledge Systems

Required Readings

Chapter 11 & Chapter 12 (Analytics, Data Science & Artificial Intelligence)

Tuesday, November 24, 2020

0

Discussion Graded Discussion: Knowledge Management(Initial Posting) Wednesday, November 25, 2020 62.5Discussion

Peer Replies

Graded Discussion: Knowledge Management (Peer Replies)

Saturday, November 28, 2020

Graded Assignment Knowledge and Skills Paper

Sunday, November 29, 2020

62.5

Week 7: The Internet of Things as a Platform of Intelligent Applications/Implementation Issues

Required Readings

Chapter 13 & Chapter 14 (Analytics, Data Science & Artificial Intelligence)

Tuesday, December 1, 2020

0

Discussion Graded Discussion: Intelligent Systems and Ethics(Initial Posting) Wednesday, December 2, 2020 62.5Discussion

Peer Replies

Graded Discussion: Intelligent Systems and Ethics (Peer Replies)

Saturday, December 5, 2020

Graded Assignment Knowledge and Skills Paper

Sunday, December 6, 2020

62.5

Week 8: Review and Final Exam

Required Readings Review all chapters as needed

Tuesday, December 8, 2020

0

Exam Final Exam Tuesday, December 8, 2020

125

Important Note #1 All due dates and assignments are subject to change.

Important Note #2

For all discussion boards, the first post should be made by Wednesday 11:59 p.m., EST.and a minimum of two peer replies by Saturday 11:59 p.m., EST. Complete directions for all discussion boards are located in iLean under content and then based associated week.

Important Note #3

For all graded assignments, successful and complete submissions are expected by Sunday 11:59 p.m., EST of the assigned week and complete directions for all graded assignments are located in iLean under content and then by associated week.

Important Note #4

The mid-term exam has a Sunday 11:59 p.m., EST due date and the final exam along with any final work must be completed by no later than Tuesday, December 08, 2020. No work is accepted for any reasons after Tuesday, December 08, 2020

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