CSC 262: Self-Directed Learning: System Administration: 3 hours

Description

Goals for CSC 266 are:

1. Upon completion of this course students will:
   1. Be able to configure linux and windows servers
   2. Have developed skills in being a life long learner

Course outcomes for CSC 266 are:

• Upon completion of CSC 266, students will understand:
  • how to install and administer Linux systems
  • how to install and administer Windows servers
  • security issues with both systems
  • how to structure their own self learning on future tasks.

Program outcomes for CSC 266 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)
4. Understand and use appropriate cloud technologies in specified areas (Computing student learning outcome 8)
5. Apply security principles and practices to maintain operations in the presence of risks and threats. (Cyber Security student learning outcome 1)

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 user manual and grading the manual on both content and writing ability.
4. Professionalism at the application level by holding discussions about the differences between maintain one's own (or friend's) systems and doing it as a profession and maintain many computers.
5. Security at the application level by including modules on securing Windows servers and Linux boxes.
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 servers and grading not just the quality of the servers and what is installed but how well the presentation was organized.

Details

• Professor:
• Office:
• Class Time: 9:00-9:50am M

• Class Location:
• Textbook:

Course Content

Policies

Programs

Assignments

Grades

Your grades are made up of:

• 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

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.

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