CSC 113: Digital Citizen of the 21st Century: 3 hours

Description

The study of computing and the ways it shapes and influences 21st century citizens and society. Provides the basic understanding of computing capabilities and limitations for a more informed discussion of the issues. Covers foundational concepts of computing including technical skills (such as use of Linux) needed during the major, soft skills (including note taking and time management), architecture, O.S., programming languages, and ethics. Also will include guest speakers from industry and projects done by upperclassmen.

Goals for CSC 113 are:

1. To prepare students to live in a very digital world.
2. To introduce a number of fundamental concepts of computer science
3. To prepare students to succeed academically

Course outcomes for CSC 113 are:

• Upon completion of CSC 113, students will:
  • understand various ethical and cyber security issues in today\x92s digital world.
  • understand the impact of technology on today\x92s work and the world\x92s impact on technology
  • begin to develop technical writing skills by writing a 2-3 page technical paper and taking notes.
  • have a fundamental understanding of the workings of a computer.

Program outcomes for CSC 113 are:

1. Communicate effectively in a variety of professional contexts. (Computing student learning outcome 3)
2. Recognize professional responsibilities and make informed judgments in computing practice based on legal, ethical, and moral principles. (Computing student learning outcome 4)
3. Use technology to help bring Christ to the world and apply Christian principles to their work. (Computing student learning outcome 7)
4. Understand and use appropriate cloud technologies in specified areas (Computing student learning outcome 8)

Integration

1. Note taking at the introductory level by requiring students to take lectures notes.
2. Technical writing at the introductory level by requiring written work to have section headers, decent size paragraphs, and giving feedback on transitions.
3. Ethics at an introductory level by covering:
   • digital divide
   • ethics associated with AI
4. Cybersecurity at the introductory level by covering:
   • securing one's self in social media
   • the fundamental concept of cyber security

Details

• Professor: Dr. Cathy Bareiss
• Office SB 31
• Class Time: 11:00-11:50 MWF
• Class Location: S 025
• Textbook: Student membership in ACM

Course Content

Policies

• Classroom etiquette
• Educational Philosophy
• Integrity
• Late work

Assignments

This course will be divided into two section. Section one (typically Wednesdays and Fridays) will be about computing. Section two (typically Mondays) will be about developing skills to be a good student and life long learner.

Computing work

This work is divided into exams and homework/activities. The dates of the exams will be found on the schedule in the syllabus.

Activities will be announced in class and typically turned in via canvas. The canvas assignment will typically just have the name and due date. All work needs to be turned in as a pdf document. Any work turned in with a different format will be rejected and will need to be turned in late with a 10% penalty the first time, 20% the second, and rejected after that.

Types of homeworks

1. Pre-class quizzes/surveys. There will typically be one before each class. They will be typically due the night before the class meets and will be found on Canvas. You will be responsible keeping up on these. They CANNOT be taken late. You may use the Internet and any other non-human resource while taking them. You may also miss three of them. Effort will be worth a significant number of points for each quiz.
2. Post-class surveys. These will be after each class (except exam days) and are always the same questions. You will have up to 6 hours after the end of class to take them and CANNOT be taken late. You may miss 5 of these. These can be found on Canvas are will be available at the end of each class.
3. Academic skills homework, etc. These are tasks associated with certain academic skills we will be discussing. They will be assigned in class and turned in on Canvas. You may miss two of these. The late policy will apply to these.
4. There will also be homework associated with the Digital Citizen portion of the class. These will be assigned in class and turned in on Canvas. These may not be missed. The late policy will apply to these.
   1. There are three homeworks associated with this that are announced here. They involve reactions to current events. Announcements will not be made in class. You are responsible to track these yourself. Standard late policy will apply to these assignments.
      You are to react to current events/publications. A reaction to an article includes enough to convince me that you have read the entire article and not just the headline or first paragraph. It should include a summary of what was said and your reaction. Be sure to give a complete reference to the item. These should be turned in as a hard copy in class within one week of the item being published. You may pick when. Each one does have a deadline. The ones you pick must be unique to this course.
      1. Write a reaction to one article in the ACM TechNews on AI. This needs to be completed by midterm.
      2. Write a reaction to one article in the ACM TechNews on cyber security. This needs to be completed before finals week .
      3. Write a reaction to one article in XRDS that interests you. This needs to be completed before finals week.
5. After the AI section and the cyber security section, there will be a major assignment each. Details will be given in class and they will be turned in on Canvas. These may not be missed. The late policy will apply to these.

Extra credit

Extra credit will not be the standard policy in this class. If the need arises, an exception might be made but the decision will be made based on the entire class for the entire class. This will not done for an individual

Grades

Your grades are made up of:

• 10% for the pre-class quizzes/surveys
• 5% for the post class surveys
• 10% for the academic skills assignments, etc.
• 15% for the digital citizens regular assignments, etc.
• 15% for the major assignments
• 30% for the regular exams
• 15% for the final
• 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

Monday	Wednesday	Friday
12/01: Computing for others	12/03: Exam 4	12/05: review for final
12/08: Final Exam: 10:30-12:30	12/10: Finals Week	12/12: Finals Week
11/03: Security topic 2: societal aspects	11/05: Security topic 2: technical aspects	11/7: Security topic 2: societal aspects
11/10: Exam 3	11/12: Security topic 3: technical aspects	11/14: Security topic 3: societal aspects
11/17: Security topic 4: technical aspects	11/19: Security topic 4: societal aspects	11/21: Security topic 5: technical aspects
11/24: Security topic 5: societal aspect	11/26 Thanksgiving break	11/28: Thanksgiving break
9/29: AI topic 3: how is it used	10/1: AI topic 4: how is it done	10/3: AI topic 4: how it is used
10/06: AI topic 5: how is it done	10/8: AI topic 5: how is it used	10/10: Fall break
10/13: Computing overview: architecture	10/15: Exam 2	10/17: Computing overview: representation
10/20: Computing overview: networks and data	10/22: Technical communications	10/24: Cloud and outside resources
10/27: Cyber Security: Overview	10/29: Cyber Security: Threats and ethics	10/31: Security topic 1: technical aspects
9/01 Labor Day	9/03: Ethics: Bias	9/05: AI: Overview of different areas
9/8: AI: Overview of different techniques	9/10: AI: How neural networks work	9/12: AI: How neural networks are used and ethics of them
9/15: AI topic 1: how is it done	9/17: AI topic 1: how is it used	9/19: CCSC:MW Exam 1
9/22: AI topic 2: how is it done	9/24: AI topic 2: how is it used	9/26: AI topic 3
8/18:	8/20:	8/22: Classes begin Introduction, Computing History, skill survey
8/25: Ethics: Overview and why important	8/27: Ethics: Digital divide	8/29: Ethics: Green computing

AI topics include:

1. Deepfakes
2. LLM's such as ChatGPT
3. Facial recognition
4. Game playing
5. E commerce
6. Smart cars
7. Health care
8. Agricultural
9. Energy
10. Environment

Security topics include:

1. network security
2. application security
3. information security a operational security
4. personal security
5. disaster recovery
6. human factor
7. mobile security
8. vulnerability management

Academic skills

1. Note taking
2. Assignments
3. Work outside of class
4. Exams
5. Outside resources
6. Lectures
7. Needing/getting help
8. Procrastination
9. Balanced life
10. Technical communication

Campus Integrity Policy

The student handbook (p. 156) states: “Any act of deceit, falsehood or stealing by unethically copying or using someone else’s work in an academic situation is strictly prohibited.

1. A student found guilty of plagiarism or cheating will receive an “F”(zero) for that particular paper, assignment or exam. Should this occur, the professor will have an interview with the student and will submit a written report of the incident to the academic dean.
2. If a second offense should occur, the student will be asked to appear before the professor, the academic dean and the vice president for student development.
   
   

The student should realize that at this point continuation in a course and even his/her academic career may be in jeopardy. In the event of a recommendation for dismissal, the matter shall be referred to the Student Development Committee.”

AI Use Policy

It is expected that any coursework (including, but not limited to, essays, papers, exams, projects, and lab reports) submitted by a student will be a product of their own creation, demonstrating their achievement of the learning outcomes related to the assigned task. With this in mind, note that submitting work that includes unauthorized or undocumented use of Artificial Intelligence (AI) may be considered as cheating or plagiarism. If you are unsure about appropriate use of AI on a given assignment, talk with your professor.

Services

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.com.edu for an appointment.

Education Majors:

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