data science and big data analytics

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Course Evaluation

Graded work will receive a numeric score reflecting the quality of performance. Relative

weights assigned to graded work are as follows:

For a 16 week class

Weekly Discussions 20% (25 points each)

Residency Weekend Project (Paper and Presentation) 50% (500 points)

Practical Connection Activity (to be completed during Residency

Weekend) 10% (100 points)

Final Portfolio Project/Research Paper 10% (100 points)

Weekly Research Papers (Weeks 2, 4, 6, 10, 12 @ 20 points each) 10%

Total = 1,000 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= 90 – 100 (90% - 100%)

B= 80 – 89 (80% - 89%)

C = 70 – 79 (70% - 79%)

F < 69 (Below 69%)

Course Schedule

Course Weekly Schedule Reading/Topics Assignments and Due

Dates

Weekly

Unit Readings/Topics

Assignme

and Due D

1

Big Data analytics “Overview”

L. Zhao, Y. Huang, Y. Wang and J. Liu, "Analysis on the Demand of

Top Talent Introduction in Big Data and Cloud Computing Field in

China Based on 3-F Method," 2017 Portland International

Conference on Management of Engineering and Technology

(PICMET), Portland, OR, 2017, pp. 1-3. doi:

10.23919/PICMET.2017.8125463

Welcome

Discussion

 Graded

Discussion

 *Failing to

Participate

Week 1 ma

result in be

dropped fro

the course

Academic

Honesty

Pledge Sig

*

*Must sig

pledge to

continue w

the course

All

assignme

are due

starting o

first Unit

Sunday ni

11:59 PM

Due On:

8/29/2021

2 Uses of Big Data Analytics in Social Network Analysis

Liao, C.-H., & Chen, M.-Y. (2019). Building social computing

system in big data: From the perspective of social network

Week 2

Research P

analysis. Computers in Human Behavior, 101, 457–465.

https://doi.org/10.1016/j.chb.2018.09.040

Psomakelis, E., Aisopos, F., Litke, A., Tserpes, K., Kardara, M., &

Campo, P. M. (2016). Big IoT and social networking data for smart

cities: Algorithmic improvements on Big Data Analysis in the

context of RADICAL city applications.

Due: Sund

night 11:5

Due On:

9/5/2021

3

Application of Big Data tools in e-Healthcare 

AYANI, S., MOULAEI, K., DARWISH KHANEHSARI, S.,

JAHANBAKHSH, M., & SADEGHI, F. (2019). A Systematic Review of

Big Data Potential to Make Synergies between Sciences for

Achieving Sustainable Health: Challenges and Solutions. Applied

Medical Informatics, 41(2), 53–64. Retrieved from

http://search.ebscohost.com/login.aspx?

direct=true&AuthType=shib&db=a9h&AN=138949499&site=eds-

live

Discussion

Blockchain

Due: Sund

night 11:5

Due On:

9/12/2021

4

Big Data and the Internet of Things

Dai, H.-N., Wang, H., Xu, G., Wan, J., & Imran, M. (2019). Big Data

Analytics for Manufacturing Internet of Things: Opportunities,

Challenges and Enabling Technologies.

https://doi.org/10.1080/17517575.2019.1633689

Week 4

Research P

Due: Sund

night 11:5

Due On:

9/19/2021

5 Data Visualization (Storytelling)

Big Data Visualization: Allotting by R and Python with GUI Tools.

(2018). 2018 International Conference on Smart Computing and

Electronic Enterprise (ICSCEE), Smart Computing and Electronic

Enterprise (ICSCEE), 2018 International Conference On, 1.

https://doi.org/10.1109/ICSCEE.2018.8538413

Discussion

Due:

Thursday 

11:59 PM

to residen

week)

Due On:

9/23/2021

Residency

Week

09/24/21 -

09/26/21 

Residency Session ( Virtual meeting) starts on 9/24/2021

(Friday) at 5PM EST.

1.Residenc

Project (Pa

and

Presentatio

2. Practica

Connection

Activity – 5

word perso

paper 

Due: 9/26

Sunday, 1

EST

6

Impacts of Big Data on Business Intelligence 

Integrated Understanding of Big Data, Big Data Analysis, and

Business Intelligence: A Case Study of Logistics. Sustainability

2018, 10(10), 3778; https://doi.org/10.3390/su10103778

Week 6

Research P

Due: Sund

night 11:5

Due On:

10/3/2021

7

Big Data Mining vs Analytics

Marcu, D., & Danubianu, M. (2019). Learning Analytics or

Educational Data Mining? This is the Question.. BRAIN: Broad

Research in Artificial Intelligence & Neuroscience, 10, 1–14.

Retrieved from http://search.ebscohost.com/login.aspx?

direct=true&AuthType=shib&db=a9h&AN=139367236&site=eds-

live

Discussion

Due: Sund

night 11:5

Due On:

10/10/202

8

Challenges associated with Big Data

Hariri, R.H., Fredericks, E.M. & Bowers, K.M. J Big Data (2019) 6:

44. https://doi.org/10.1186/s40537-019-0206-3

N/A

9

Blockchain Overview

WALDO, J. (2019). A Hitchhiker’s Guide to the Blockchain

Universe. Communications of the ACM, 62(3), 38–42.

https://doi.org/10.1145/3303868

Discussion

Due: Sund

night 11:5

Due on:

10/24/202

10 Bitcoin Economics  Week 10

PAVLUS, J. (2018). The World Bitcoin Created. Scientific American,

318(1), 32–37. Retrieved from

http://search.ebscohost.com/login.aspx?

direct=true&AuthType=shib&db=buh&AN=126727561&site=eds-

live

Research P

Due: Sund

night 11:5

Due on:

10/31/202

11

Legal Protection for Bitcoin users in E-Commerce

Dickson, B. (2019). How to Keep Your Bitcoin Safe. PC Magazine,

37. Retrieved from http://search.ebscohost.com/login.aspx?

direct=true&AuthType=shib&db=f5h&AN=138901618&site=eds-

live

Ruslina, E. (2019). Legal Protection for Bitcoin Users in E-

Commerce Transactions. Journal of Internet Law, 23(4), 3–6.

Retrieved from http://search.ebscohost.com/login.aspx?

direct=true&AuthType=shib&db=buh&AN=139556416&site=eds-

live

Discussion

Due: Sund

night 11:5

Due on:

11/7/2021

12

Application of Blockchain in Industry and Business

N. Mohamed and J. Al-Jaroodi, "Applying Blockchain in Industry

4.0 Applications," 2019 IEEE 9th Annual Computing and

Communication Workshop and Conference (CCWC), Las Vegas,

NV, USA, 2019, pp. 0852-0858.

http://ieeexplore.ieee.org/stamp/stamp.jsp?

tp=&arnumber=8666558&isnumber=8666184

Week 12

Research P

Due: Sund

night 11:5

Due on:

11/14/202

13

Blockchain and Tokenization

X. Li, X. Wu, X. Pei and Z. Yao, "Tokenization: Open Asset Protocol

on Blockchain," 2019 IEEE 2nd International Conference on

Information and Computer Technologies (ICICT), Kahului, HI, USA,

2019, pp. 204-209. http://ieeexplore.ieee.org/stamp/stamp.jsp?

tp=&arnumber=8711021&isnumber=8710850

Discussion

Due: Sund

night 11:5

Due on:

11/21/202

14 Limitations of Blockchain Technology

S. Sayadi, S. Ben Rejeb and Z. Choukair, "Blockchain Challenges

and Security Schemes: A Survey," 2018 Seventh International

Conference on Communications and Networking (ComNet),

Hammamet, Tunisia, 2018, pp. 1-7. doi:

Final Portfo

Research P

Draft (not a

graded

submission

10.1109/COMNET.2018.8621944

http://ieeexplore.ieee.org/stamp/stamp.jsp?

tp=&arnumber=8621944&isnumber=8621920 Due on:

11/28/202

15

Future of Blockchain

A. Ali, S. Latif, J. Qadir, S. Kanhere, J. Singh, “Blockchain and the

Furture of the Internet: A Comprehensive Review”, arxiv.org, URL:

https://arxiv.org/pdf/1904.00733v1.pdf?

Final Portfo

Research P

Due: Sund

night 11:5

Due on:

12/5/2021

16

Final Evaluations *SHORT WEEK* 

Check with instructor for last day of class and last

day to submit assignment

Discussion

Reflective

Activity

Due on:

12/9/2021

(THU)

Syllabus Disclaimer

This syllabus contains important information critical to your success in this course. It

includes guidelines for this course and the instructor’s current expectations about

content, schedule, and requirements necessary for each student to achieve the best

educational results. While you must review and become familiar with the contents of

this syllabus, the instructor reserves the right to make adjustments or change in the

syllabus from time to time. Any changes to the syllabus will be discussed with the

students.