(r11) CSC113SylF2024 < CenterForComputing

Tags: view all tags
%INCLUDE{CSC113ForSyllabus}%

---++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
   * [[ClassroomPolicies][Classroom etiquette]]
   * [[BareissTeachingPhilosophy][Educational Philosophy]]
   * [[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.<br><br>
---++++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 <b>CANNOT</b> 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.
   1. 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 <b>CANNOT</b> 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.
   1. 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.
   1. 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.
      a. 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.<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 on AI.  This needs to be completed by midterm.
         a. Write a reaction to one article in the ACM !TechNews on cyber security. This needs to be completed before finals week .
         a. Write a reaction to one article in XRDS that interests you.  This needs to be completed before finals week.
   1. 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* 				|
| 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: Autonomous Vehicles: how is it done		| 9/18: Autonomous Vehicles: how is it used	| 9/20:  CCSC:MW<br>Exam 1 |
| 9/23: Deep Fakes: how is it done				| 9/25: Deep Fakes: how is it used			| 9/27: Facial Recognition: how is it done |
| 9/30: Facial Recognition: how is it used		| 10/2: LLM's (!ChatGPT): how is it done		| 10/4: LLM's (!ChatGPT): how is it used  |
| 10/07: AI in Healthcare: how is it done			| 10/9: AI in Healthcare: how is it used		| 10/11:  Fall break  |
| 10/14: Computing overview: architecture		| 10/16: Computing overview: representation: [[CSC113SylF2024BinaryHomework][Homework]]	| 10/18: CCSC:RM<br>Exam 2 |
| 10/21: Computing overview: networks	and data	| 10/23: Computing overview: networking 	| 10/25: Cloud and outside resources |
| 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
   a. Technical communication
%INCLUDE{CampusPolicies2024}%
Topic revision: r11 - 2024-10-24 - CathyBareiss