CSC 263: Self-Directed Learning: Introductory CS Topics: 3 hours

Description

An introductory topic of computer science is covered. Students learn via on-line lessons and class discussion. Co-Requisite: CSC 260

Goals for CSC 263 are:

1. Upon completion of this course students will:
   1. Learn a new technology
   2. Have developed skills in being a life long learner

Course outcomes for CSC 263 are:

• Upon completion of CSC 263, students will understand:
  • a specific topic in computing and the ethical and security issues associated with it
  • how to structure their own self learning on future tasks.

Program outcomes for CSC 263 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. Learn new areas of technology. (Computing student learning outcome 6)

Integration

1. Self-learning at the application level by
   • having the technical material being covered by existing online lessons found in the ACM learning center and other professional sites
   • having discussions about how to get the most out of online lessons
   • demonstrating how to establish education goals, outcomes, and tasks to learn specific tasks.
2. Note taking at the application level by grading the notes students take while working through online lessons
3. Technical writing by requiring students to create at at least one document for their work and grading the manual on both content and writing ability.
4. Professionalism at the application level appropriate to the topic
5. Security at the application level appropriate to the topic
6. Ethics at an introductory level by discussing TBD.
7. Verbal communications at the introductory level by requiring each student to make a formal demonstration of their work

Details

• Professor: Dr. Jeanette Shown
• Office:
• Class time: TBD
• Class Location:

• Textbook:
  • online lessons

Course Content

Policies

Assignments

• • Do online lessons to learn the language as assigned. These lessons are to be identified at the start of the semester and agreed upon by both the student and the instructor
  • Do at least 3 programs to demonstrate the learning of the language. Each assignment will be determine at the start of group of lessons. *

Grades

Your grades are made up of:

• 10% meetings on an alternate weekly schedule. Coming to the meeting on time and being prepare to discuss things
• 10% completing the lessons on time
• 80% writing the programs. AI is NOT to be used to generate code! Doing so will result in failure in the course.

• 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

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.edu for an appointment.

Education Majors:

Please use the link below to review all appropriate standards. Standards