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CSC 310: Advanced CS topics: 3 hoursDescription | |||||||||||||||||||||||||||||||||||
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| * 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 | |||||||||||||||||||||||||||||||||||
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| < < | # They will develop a strong working knowledge of Python # They will develop an understanding of large scale framework based analysis with Spark # They will develop a basis of ethical understanding revolving around the user of big data in the real world | ||||||||||||||||||||||||||||||||||
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!|Tuesday
Thursday
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|| 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 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 |- |} | ||||||||||||||||||||||||||||||||||
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ServicesADA 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@betheluniversityadmin.edu for an appointment.DEI Statement | |||||||||||||||||||||||||||||||||||
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| > > | 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. | ||||||||||||||||||||||||||||||||||
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CSC 310: Advanced CS topics: 3 hoursDescriptionCSC310 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 # They will develop a strong working knowledge of Python # They will develop an understanding of large scale framework based analysis with Spark # They will develop a basis of ethical understanding revolving around the user of big data in the real worldProgram outcomes for CSC 310 are:Warning: Can't find topic CenterForComputing.CSC310POutcomesIntegrationWarning: Can't find topic CenterForComputing.CSC310IntegrationDetails
Course ContentPoliciesAssignmentsGrades
Tentative Schedule{| class="wikitable" !|Tuesday Thursday |- || Jan 12: Introduction & Skillset assessmenthttps://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 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 |- |} ServicesADA 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@betheluniversityadmin.edu for an appointment.DEI Statement{{:DEIStatementS2021}} | |||||||