CSC310S2021Syllabus < CenterForComputing

---++CSC 310: Advanced CS topics: 3 hours
---+++Description
CSC310 will examine What big data is, How to work with a progression of tools starting with Python and SQL and ending with Hadoop and Spark. We will study ethical issues impacting the world via big data and the impact it can have on us as Christians.

---+++Goals for CSC 310 are:
To understand how to harness and use Python for the purposes of data wrangling, visualization, hypothesis testing and clustering. We will also engage with Hadoop to study large scale analysis and filtering.

---+++Course outcomes for CSC 310 are:
   * Students will start their foundation of understanding as it relates to Data Science. 
   * They will understand how to utilize and develop tool sets. 
   * They will learn how to extract, analyze and present data
   1. They will develop a strong working knowledge of Python
   1. They will develop an understanding of large scale framework based analysis with Spark
   1. They will develop a basis of ethical understanding revolving around the user of big data in the real world

---+++Program outcomes for CSC 310 are:
%INCLUDE{Assessment.CSC310POutcomes}%

---++Integration
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---++Details
   * Professor:  Scott Dempsey
   * Office SB
   * Class Time: 
   * Class Location: 
   * Textbooks:
      * https://learning.oreilly.com/videos/python-fundamentals/9780135917411/   <--  Paul Dietel  good adv source of info plus assignments
      * <u> 97 Things About Ethics Everyone in Data Science should know</u> by Bill Franks:  ISBN 9781492072669:  https://learning.oreilly.com/library/view/97-things-about/9781492072652/#toc     <---good foundation for thoughts on ethics
      * https://learning.oreilly.com/videos/data-science-fundamentals/9780134660141?autoplay=false   <--   good for beginning python knowledge  Jonathon Dinu

---++Course Content
---+++Policies
   * [[Covid2021SP ][ Covid related polices, etc]]
   * [[AcceptableWork ][ Integrity]]
   * [[LatePolicy ][ Late work ]]
   * [[SoftwareStandards ][Software Standards]]
   * [[SoftwareDevelopmentReport ][ Software Development Report]]

---+++Assignments

---+++Grades
   * Homework and quizzes 
   * Programs 
   * Exams 

   * Grade scale
      * 93% <= average <= 100% ->	A
   * 90% <= average < 93% ->	A-
   * 87% <= average < 90% ->	B+
   * 83% <= average < 87% ->	B
   * 80% <= average < 83% ->	B-
   * 77% <= average < 80% ->	C+
   * 73% <= average < 77% ->	C
   * 70% <= average < 73% ->	C-
   * 67% <= average < 70% ->	D+
   * 63% <= average < 67% ->	D
   * 60% <= average < 63% ->	D-
   ** 0% <= average < 60% ->	F

---+++Tentative Schedule
| *Tuesday* | *Thursday* |
| Jan 12: Introduction & Skillset assessment<br>https://realpython.com/quizzes/python-data-types/  to be used to gauge level of understanding in addition to prepared questions to allow students to have opportunity to explain concepts in depth.| Jan 14:1st ethics discussion<br> https://learning.oreilly.com/library/view/97-things-about/9781492072652/preface01.html &<br> https://learning.oreilly.com/library/view/97-things-about/9781492072652/ch03.html<br>https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson01_00   (if needed from skills assessment) |
| Jan 19: Python Fundamentals (!Jupyter - Control Statements - Functions)<br>https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson02_00  &  if needed https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson03_00 | Jan 21: Ethics Case follow up discussion and Fundamentals Quiz |
| Jan 26: Cont'd fundamentals (cont'd library analysis & data wrangling)<br>https://learning.oreilly.com/videos/data-science-fundamentals/9780134660141/9780134660141-DSP1_00_00_00_00?autoplay=false | Jan 28: Independent work |
| Feb 2: Sequences, Lists and Tuples<br>https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson05_00 | Feb 4: 2nd ethics discussion (readings 4-7  see table of contents at <br>https://learning.oreilly.com/library/view/97-things-about/9781492072652/ ) |
| Feb 9: Sequences, Lists and Tuples<br>https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson05_00 | Feb 11: 2nd ethics discussion (readings 4-7  see table of contents at <br>https://learning.oreilly.com/library/view/97-things-about/9781492072652/ ) |
| Feb 16: Dictionaries & Sets<br>https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson06_00 | Feb 18: Ethics Discussion & Advanced Python Quiz  (guest speaker if possible) |
| Feb 23: Independent work and study | Feb 25: Midterm |
| Mar 2<br> Spring Break | Mar 4: 3rd ethics discussion (readings 9-11 see table of contents at >br>https://learning.oreilly.com/library/view/97-things-about/9781492072652/ ) |
| Mar 9: Array Oriented Programming & Numpy<br>https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson07_00 | Mar 11: Oriented Programming Quiz + possible second guest speaker |
| Mar 16: Deep dive into Strings<br>https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson08_00 | Mar 18: 4th ethics discussion (readings 12-15 at<br>https://learning.oreilly.com/library/view/97-things-about/9781492072652/#toc ) |
| Mar 23: Files & Exceptions<br>https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson09_00 | Mar 25: OOP quiz + time held to fill out knowledge gaps |
| Mar 30: Object Oriented Programming<br>https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson10_00 | Apr 1 <br>Easter Break |
| Apr 6: Natural Language  Programming<br>https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson11_00 | Apr 8: 5th ethics discussion  readings   16-18 <br>https://learning.oreilly.com/library/view/97-things-about/9781492072652/#toc |
| Apr 13: Hadoop & Spark intro<br>https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson16_00 | Apr 15: cont’d time on Hadoop, Spark basics quiz + possible Hadoop speaker |
| Apr 20  Hadoop & Spark  cont’d<br>https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson16_00 | Apr 22: cont’d time on Spark |
| Apr 27 <br>Final Week: | Apr 29 |

---+++Services
ADA Statement for Syllabi: The Americans with Disabilities Act (ADA) is a law which provides civil rights protection for people with disabilities. Bethel University, in compliance with equal access laws, requests that students with disabilities seeking to acquire accommodations make an appointment with the Center for Academic Success—Disability Services. It is located in the Miller-Moore Academic Center, 033. You may also phone 574-807-7460 or email rachel.kennedy@betheluniversity.edu for an appointment.
---+++DEI Statement
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This topic: CenterForComputing > WebHome > Syllabi > CSC310S2021Syllabus
Topic revision: r2 - 2021-08-27 - cathybareiss