CSC310S2021Syllabus

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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
  2. They will develop an understanding of large scale framework based analysis with Spark
  3. 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:

  1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
  2. Communicate effectively in a variety of professional contexts.
  3. Learn new areas of technology


Integration

  1. Self-learning at the application level by requiring students to learn one component of the topic on their own (with little assistance from the instructor)
  2. Note taking at that master level by
    • not posting lecture slides,
    • requiring students to track all requirements themselves
    • having exam questions based on specifics in the lectures and presentations given by other students.
    • Technical writing at the mastery level by requiring to write a technical report of a project for the class in a quality manner. Advanced discussion on things such as a theme, transitions, use of diagrams, focus, and other items should be covered in class and graded on.
  3. Security at an application level by covering at least two separate security issues associated with the topic of the course.
  4. Ethics at an application level by covering at least two separate ethical issues associated with the topic of the course.
  5. Verbal communications at the application level by requiring students to present their projects and/or supplementary material to the class.

Details

Course Content

Policies

  * Covid related polices, etc
  * Integrity
  * Late work 
  * Software Standards
  * 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
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
https://learning.oreilly.com/library/view/97-things-about/9781492072652/preface01.html &
https://learning.oreilly.com/library/view/97-things-about/9781492072652/ch03.html
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)
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)
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
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
https://learning.oreilly.com/library/view/97-things-about/9781492072652/ )
Feb 9: Sequences, Lists and Tuples
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
https://learning.oreilly.com/library/view/97-things-about/9781492072652/ )
Feb 16: Dictionaries & Sets
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
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
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
https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson08_00
Mar 18: 4th ethics discussion (readings 12-15 at
https://learning.oreilly.com/library/view/97-things-about/9781492072652/#toc )
Mar 23: Files & Exceptions
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
https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson10_00
Apr 1
Easter Break
Apr 6: Natural Language Programming
https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson11_00
Apr 8: 5th ethics discussion readings 16-18
https://learning.oreilly.com/library/view/97-things-about/9781492072652/#toc
Apr 13: Hadoop & Spark intro
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
https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson16_00
Apr 22: cont’d time on Spark
Apr 27
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

During this particularly difficult time, this statement momentarily underscores and deepens what is expressed in the Lifestyle Covenant regarding the dignity of all humans. The statement will remain in all Bethel Faculty syllabi until spring 2023 and then be remanded back to the Faculty. Bethel University respects the dignity of all God’s image-bearers, and stands against racism, prejudice, and discrimination. Because Christ calls us to love our neighbor as ourselves, Christian discipleship includes pursuing the good of those who suffer injustice due to their color, race, or ethnicity. Therefore, we aim to continually transform our classrooms into safe and hospitable spaces where we listen to one another with mercy, learn from and value each other with tenacity, and commit to pursuing justice for the most vulnerable in our community.