CSC113SylF2024 < CenterForComputing

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---++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
   * [[AcceptableWork][Integrity]]
   * [[LatePolicy ][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.<br><br>
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.  There will probably be quizzes and other assignments made.<br><br>
There are two types of homework:
   1. The first is based on class lecture.  These will be made in class typically at the start of the topic. Standard late policy will apply to these assignments.
   1. The other type involves 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.<br>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
      a. Write a reaction to one article in the ACM !TechNews.  This needs to be completed by midterm.
      a. Write a reaction to one article in XRDS.  This needs to be completed before the final.
---+++Extra credit
---+++Grades
Your grades are made up of:
   * Computing work.  This is 70% of your grade.
      * 40% will be the exams
      * 30% will be the activities, homework, etc.
   * Learning work.  This is 30% of your grade.
      * 20% will be the activities
      * 10% will be the exams on learning
   * 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* 				|
| 8/19: 			 						| 8/21: 								| 8/23:  Classes begin<br>Introduction, Computing History, skill survey |
| 8/26: Ethics: Overview and why important		| 8/28: Ethics: Digital divide				| 8/30:  Ethics: Green computing |
| 9/02</br>Labor Day		 				| 9/04: Ethics: Bias 	 					| 9/06:  AI: Overview of different areas |
| 9/9: AI: Overview of different techniques		| 9/11: AI: How neural networks work		| 9/13:  AI: How neural networks are used and ethics of them|
| 9/16: AI topic 1: how is it done				| 9/18: AI topic 1: how is it used	 		| 9/20:  CCSC:MW<br>Exam 1 |
| 9/23: AI topic 2: how is it done				| 9/25: AI topic 1: how is it used	 		| 9/27: AI topic 3: how is it done |
| 9/30: AI topic 1: how is it used			 	| 10/2: AI topic 4: how is it done			| 10/4: AI topic 1: how is it used  |
| 10/07: AI topic 5: how is it done			 	| 10/9: AI topic 1: how is it used			| 10/11:  Fall break  |
| 10/14: Computing overview: architecture		| 10/16: Computing overview: networks		| 10/18: CCSC:RM<br>Exam 2 |
| 10/21: Computing overview: Cloud			| 10/23: Computing overview: representation	| 10/25: Technical communication |
| 10/28: Cyber Security: Overview 				| 10/30: Cyber Security: Threats and ethics	| 11/1: Cyber Security topic 1: technical aspects |
| 11/04: Cyber Security topic 1: societal aspects	| 11/06: Cyber Security topic 2: technical aspects 	| 11/8: Cyber Security topic 2: societal aspects |
| 11/11: Exam 3 							| 11/13: Cyber Security topic 3: technical aspects  	| 11/15: Cyber Security topic 3: societal aspects |
| 11/18: Cyber Security topic 4: technical aspects 	| 11/20: Cyber Security topic 4: societal aspects	| 11/22: Cyber Security topic 4: technical aspects    |
| 11/25: Cyber Security topic 5: technical aspects	| 11/27 Thanksgiving break				| 11/29: Thanksgiving break |
| 12/02: Cyber Security topic 5: societal aspects	| 12/04: Exam 4						| 12/06: review for final  |
| 12/09: Final Exam: 10:30-12:30				| 12/11: Finals Week					| 12/13: Finals Week	|
AI topics include:
   a. Deepfakes
   a. LLM's such as !ChatGPT
   a. Facial recognition
   a. Game playing
   a. E commerce
   a. Smart cars
   a. Health care
   a. Agricultural
   a. Energy
   a. Environment
Security topics include:
   a. network security
   a. application security
   a. information security
   a operational security
   a. personal security
   a. disaster recovery
   a. human factor
   a. mobile security
   a. vulnerability management
Academic skills
   a. Note taking
   a. Assignments
   a. Work outside of class
   a. Exams
   a. Outside resources
   a. Lectures
   a. Needing/getting help
   a. Procrastination
   a. Balanced life
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This topic: CenterForComputing > WebHome > Syllabi > SyllabiFall2024 > CSC113SylF2024
Topic revision: r3 - 2024-06-27 - CathyBareiss