Difference: CSC463SylF2026 (1 vs. 5)

Revision 52026-08-04 - CathyBareiss

Line: 1 to 1
 
META TOPICPARENT name="Syllabi"

CSC 463: Self-Directed Learning: Advanced CS Topics : 3 hours

Description

Students will pick one advanced cutting edge topic (typically an aspect of cloud computing, machine learning, big data, Internet of Things, or mobile computing), develop their own learning goals and strategies, get them approved and learn the material on their own and present their results in both a written and verbal format. Students will be required to develop a project to demonstrate what they have learned. Can be taken up to two times as long as the topic is different. Topics must also differ from those taken in CSC 310, CSC 312 and CSC 314.

Goals for CSC 463 are:

  1. Develop life long learning skills

Course outcomes for CSC 463 are:

  • Upon complete of CSC 463 students will know:
    • how to direct their own self learning for future tasks
    • how to demonstrate the ideas they have learned
    • how to identify security and ethical issues in a topic of their own choosing.

Program outcomes for CSC 463 are:

  1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions. (Computing student learning outcome 1)
  2. Communicate effectively in a variety of professional contexts. (Computing student learning outcome 3)
  3. Recognize professional responsibilities and make informed judgments in computing practice based on legal, ethical, and moral principles. (Computing student learning outcome 4)
  4. Learn new areas of technology. (Computing student learning outcome 6)
  5. Apply security principles and practices to maintain operations in the presence of risks and threats. (Cyber Security student learning outcome 1)

Integration

  1. Life long learning skills by learning a complete topic on their own
  2. Technical communication skills by making at least 2 verbal presentations (on recorded) and writing a significant report (10 pages) on what was learned
Line: 113 to 113
 
Deleted:
<
<

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
 \ No newline at end of file
Added:
>
>

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

Bethel University recognizes that Artificial Intelligence (AI) tools are becoming increasingly common in professional, academic, and educational settings. The purpose of this policy is to encourage the responsible, ethical, and transparent use of AI, while preserving academic integrity and ensuring that students develop and demonstrate the critical thinking, knowledge, skills, and competencies required by each course. Because learning outcomes and appropriate uses of AI vary across disciplines, courses, and assignments, expectations for AI use will be established by individual instructors in accordance with the learning objectives of their courses.

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
 \ No newline at end of file

Revision 42026-07-27 - CathyBareiss

Line: 1 to 1
 
META TOPICPARENT name="Syllabi"

CSC 463: Self-Directed Learning: Advanced CS Topics : 3 hours

Description

Students will pick one advanced cutting edge topic (typically an aspect of cloud computing, machine learning, big data, Internet of Things, or mobile computing), develop their own learning goals and strategies, get them approved and learn the material on their own and present their results in both a written and verbal format. Students will be required to develop a project to demonstrate what they have learned. Can be taken up to two times as long as the topic is different. Topics must also differ from those taken in CSC 310, CSC 312 and CSC 314.

Goals for CSC 463 are:

  1. Develop life long learning skills

Course outcomes for CSC 463 are:

  • Upon complete of CSC 463 students will know:
    • how to direct their own self learning for future tasks
    • how to demonstrate the ideas they have learned
    • how to identify security and ethical issues in a topic of their own choosing.

Program outcomes for CSC 463 are:

  1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions. (Computing student learning outcome 1)
  2. Communicate effectively in a variety of professional contexts. (Computing student learning outcome 3)
  3. Recognize professional responsibilities and make informed judgments in computing practice based on legal, ethical, and moral principles. (Computing student learning outcome 4)
  4. Learn new areas of technology. (Computing student learning outcome 6)
  5. Apply security principles and practices to maintain operations in the presence of risks and threats. (Cyber Security student learning outcome 1)

Integration

  1. Life long learning skills by learning a complete topic on their own
  2. Technical communication skills by making at least 2 verbal presentations (on recorded) and writing a significant report (10 pages) on what was learned
Line: 11 to 11
 

Course Content

Policies

  • Because of the nature of the work, no late work is allowed.
Added:
>
>
 

Assignments

  • Paper

Revision 32026-06-03 - CathyBareiss

Line: 1 to 1
 
META TOPICPARENT name="Syllabi"

CSC 463: Self-Directed Learning: Advanced CS Topics : 3 hours

Description

Students will pick one advanced cutting edge topic (typically an aspect of cloud computing, machine learning, big data, Internet of Things, or mobile computing), develop their own learning goals and strategies, get them approved and learn the material on their own and present their results in both a written and verbal format. Students will be required to develop a project to demonstrate what they have learned. Can be taken up to two times as long as the topic is different. Topics must also differ from those taken in CSC 310, CSC 312 and CSC 314.

Goals for CSC 463 are:

  1. Develop life long learning skills

Course outcomes for CSC 463 are:

  • Upon complete of CSC 463 students will know:
    • how to direct their own self learning for future tasks
    • how to demonstrate the ideas they have learned
    • how to identify security and ethical issues in a topic of their own choosing.

Program outcomes for CSC 463 are:

  1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions. (Computing student learning outcome 1)
  2. Communicate effectively in a variety of professional contexts. (Computing student learning outcome 3)
  3. Recognize professional responsibilities and make informed judgments in computing practice based on legal, ethical, and moral principles. (Computing student learning outcome 4)
  4. Learn new areas of technology. (Computing student learning outcome 6)
  5. Apply security principles and practices to maintain operations in the presence of risks and threats. (Cyber Security student learning outcome 1)

Integration

  1. Life long learning skills by learning a complete topic on their own
  2. Technical communication skills by making at least 2 verbal presentations (on recorded) and writing a significant report (10 pages) on what was learned
Line: 33 to 33
 
      • What are the things you wish to accomplished
      • What have you learned about learning
    • Midwork presentation
Changed:
<
<
      • What dd you want to have accomplished by now and what have you actually accomplished
>
>
      • What did you want to have accomplished by now and what have you actually accomplished
 
      • What changes did you need to make to your plan
      • At least 5 insights into your technology
      • At least 5 insights into learning
Line: 50 to 50
 
  • 10% for turning in weekly progress reports.
  • 15% for the presentations in class (4%, 5%, 6% for each one, respectively)
    • Maximum grade is limited by the time taken. The time must be on task and appropriate to count
Changed:
<
<
      • If the time is < 25% of the assigned time, the maximum grade is a D
>
>
      • If the time is < 25% of the assigned time (15 minutes), the maximum grade is a D
 
      • If the time is < 50% of assigned time, the maximum grade is a C+
      • If the time is < 75% of assigned time, the maximum grade in a B+
      • If the time is between 76% and 105%, the maximum grade is an A+
Line: 67 to 67
 
  • 5% for the summarization of other presentations (for each category, you may skip two other than your own). Should include the following
    • a very brief description of the project
    • a list of the major points presented
Added:
>
>
    • at least two things that were done well.
 
    • what could be done with the project to make it better
    • any insights you have gained from it
    • what did you leave the presentation wanting to know.

Revision 22026-05-12 - CathyBareiss

Line: 1 to 1
 
META TOPICPARENT name="Syllabi"

CSC 463: Self-Directed Learning: Advanced CS Topics : 3 hours

Description

Students will pick one advanced cutting edge topic (typically an aspect of cloud computing, machine learning, big data, Internet of Things, or mobile computing), develop their own learning goals and strategies, get them approved and learn the material on their own and present their results in both a written and verbal format. Students will be required to develop a project to demonstrate what they have learned. Can be taken up to two times as long as the topic is different. Topics must also differ from those taken in CSC 310, CSC 312 and CSC 314.

Goals for CSC 463 are:

  1. Develop life long learning skills

Course outcomes for CSC 463 are:

  • Upon complete of CSC 463 students will know:
    • how to direct their own self learning for future tasks
    • how to demonstrate the ideas they have learned
    • how to identify security and ethical issues in a topic of their own choosing.

Program outcomes for CSC 463 are:

  1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions. (Computing student learning outcome 1)
  2. Communicate effectively in a variety of professional contexts. (Computing student learning outcome 3)
  3. Recognize professional responsibilities and make informed judgments in computing practice based on legal, ethical, and moral principles. (Computing student learning outcome 4)
  4. Learn new areas of technology. (Computing student learning outcome 6)
  5. Apply security principles and practices to maintain operations in the presence of risks and threats. (Cyber Security student learning outcome 1)

Integration

  1. Life long learning skills by learning a complete topic on their own
  2. Technical communication skills by making at least 2 verbal presentations (on recorded) and writing a significant report (10 pages) on what was learned

Details

Changed:
<
<
  • Professor:
  • Office:
>
>
  • Professor: Bareiss
  • Office: S 031
 
  • Class Time: 9:30-10:50am TR
Changed:
<
<
  • Class Location:
  • Textbook:
>
>
  • Class Location: S 030
  • Textbook: None
 

Course Content

Policies

Changed:
<
<

Programs

>
>
  • Because of the nature of the work, no late work is allowed.
 

Assignments

Added:
>
>
  • Paper
    • 10 to 15 pages singled space (more to the 15 than 10 is expected) not including any title page, table of content, references
    • Technical writing is very important
    • There needs to be a section (should be at least 1/2 page) about your learning experience.
    • This paper's goal is to demonstrate what you have learned and possibly created. It should not cover everything you have learned because some of the things you learned eventually did not contribute to the work but you did not know that until after you learned them.
  • Poster
    • It does NOT need to be a hard copy but the document needs to be format so that it is completely ready to be printed by a color poster printer (right size, etc.)
    • It should cover one item associated with one aspect of all that you learned during the course (about the topic, about learning, etc.)
    • It should have some visual appeal, but I am definitely not an artist. I will not require a high quality from you than what I would be able to do myself
    • The grade will be based on how well you communicated the content and the appropriateness of the content
  • Weekly Status Reports. Two may be missed. You are to use the following form: https://bethel-university.formstack.com/forms/cs_work_tracker
  • Presentations: One presentation must be a pre-recorded virtual presentation. The student may choose which one is virtual. Any remote students at a difficult time zone may choose to do all as a pre-recorded presentation. Any remote student in an easy time zone will need to do one of the virtual presentations in a live manner The pre-recorded presentations are due at midnight (their time) the evening before the schedule presentation (not a minute late) and should be placed in the course folder (NOT CANVAS). Because of the different time zones, most students will be NOT presented with the option to turn in their presentations late. This is not acceptable and will earn a 20% reduction of points per day that it is late (at five days, the grade will be 0). The description for each presentation below DO NOT for a good outline. They are just an unorganized list of things to include
    • Background presentation
      • What is your learning goal
      • Provide background knowledge for the audience to understand the fundamentals
      • A discussion of any problems you have encountered
      • What challenges/potential issues do you see ahead
      • What are the things you wish to accomplished
      • What have you learned about learning
    • Midwork presentation
      • What dd you want to have accomplished by now and what have you actually accomplished
      • What changes did you need to make to your plan
      • At least 5 insights into your technology
      • At least 5 insights into learning
      • 2 things you wish you had known or done
    • Final presentation
      • The goal of this session is to teach one or two very important aspects of your technology to the class. One way to demonstrate how well you have learn something is to teach it.
  • Advising meetings: At least 3 times a semester the student must arrange a 15 minute meeting with the professor to discuss his/her work thus far. The meetings should be done during Tuesday class times unless there is a strong need to meet at a different time.
  • Evaluation of others
 

Grades

Your grades are made up of:

Added:
>
>
  • 5% is for the poster
  • 10% for turning in weekly progress reports.
  • 15% for the presentations in class (4%, 5%, 6% for each one, respectively)
    • Maximum grade is limited by the time taken. The time must be on task and appropriate to count
      • If the time is < 25% of the assigned time, the maximum grade is a D
      • If the time is < 50% of assigned time, the maximum grade is a C+
      • If the time is < 75% of assigned time, the maximum grade in a B+
      • If the time is between 76% and 105%, the maximum grade is an A+
      • If the time is over 105%, the maximum grade is a B+
    • The presentation quality will then impact the grade.
      • If the presentation quality is poor and/or needs major work the grade will drop down two marks (from a B+ to a B- as an example)
      • If the presentation is ok (room for improvement but acceptable) the grade will drop down one mark (from a B+ to a B as an example)
      • If the presentation is excellent, the grade will stay as is
    • Content
      • If the content is missing three or more majors points, or poorly covers all, the grade will drop down four marks
      • If the content is missing one or two majors points, or poorly covers 3 points, the grade will drop down two marks
      • If the content covers all points at an acceptable level (with only one or two points needing improvement), the grade will drop down one mark
      • If the content covers all points very well, the grade will not drop down any points.
  • 5% for the summarization of other presentations (for each category, you may skip two other than your own). Should include the following
    • a very brief description of the project
    • a list of the major points presented
    • what could be done with the project to make it better
    • any insights you have gained from it
    • what did you leave the presentation wanting to know.
  • 5% for regular individual meetings with the professor. To miss a meeting without a good reason will cause a lose of major points. To not be prepared to report on the status in a meeting will cause of lose of a few points.
  • 10% draft of the final products (due Nov. 12th)
  • 50% final products (due Dec. 9th) . This is the paper and poster.
 
  • Grade scale
    • 93% <= average <= 100% -> A
Line: 33 to 90
 
    • 0% <= average < 60% -> F

Tentative Schedule

Changed:
<
<
Tuesday Thursday
8/18: 8/20:
8/25: 8/27:
9/01: 9/03:
9/06: 9/10:
9/15: 9/17:
9/22: 9/24:
9/29: Service Day 10/01:
>
>
Tuesday times to meet with professor
<-- -->
Sorted descending
Thursday
9/01: 9/03: Background Presentations
9/06: 9/10: Background Presentations
9/15: 9/17: Background Presentations
9/22: 9/24: Questions and discussions
9/29: Service Day 10/01: Adapting
8/18: 8/20: Introduction
8/25: 8/27: Technical Presentations
 
10/06: 10/08: Fall Break
Changed:
<
<
10/13: 10/15:
10/20: 10/22:
10/27: 10/29:
11/03: 11/05:
11/10: 11/12:
11/17: 11/19:
11/24 11/26: Thanksgiving Break
12/01: 12/03:
12/08: 12/10: *Final*
8:00-10:00am
>
>
10/13: 10/15: Midwork Presentations
10/20: 10/22: Midwork Presentations
10/27: 10/29: Midwork Presentations
11/03: 11/05: Discussion about learning experiences
11/10: 11/12: Writing report
11/17: 11/19: Professional discussion
11/24: 11/26: Thanksgiving Break
12/01: 12/03: Final Presentations
12/08: 12/10: Final Presentations
8:00-10:00am
 

Revision 12026-04-17 - CathyBareiss

Line: 1 to 1
Added:
>
>
META TOPICPARENT name="Syllabi"

CSC 463: Self-Directed Learning: Advanced CS Topics : 3 hours

Description

Students will pick one advanced cutting edge topic (typically an aspect of cloud computing, machine learning, big data, Internet of Things, or mobile computing), develop their own learning goals and strategies, get them approved and learn the material on their own and present their results in both a written and verbal format. Students will be required to develop a project to demonstrate what they have learned. Can be taken up to two times as long as the topic is different. Topics must also differ from those taken in CSC 310, CSC 312 and CSC 314.

Goals for CSC 463 are:

  1. Develop life long learning skills

Course outcomes for CSC 463 are:

  • Upon complete of CSC 463 students will know:
    • how to direct their own self learning for future tasks
    • how to demonstrate the ideas they have learned
    • how to identify security and ethical issues in a topic of their own choosing.

Program outcomes for CSC 463 are:

  1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions. (Computing student learning outcome 1)
  2. Communicate effectively in a variety of professional contexts. (Computing student learning outcome 3)
  3. Recognize professional responsibilities and make informed judgments in computing practice based on legal, ethical, and moral principles. (Computing student learning outcome 4)
  4. Learn new areas of technology. (Computing student learning outcome 6)
  5. Apply security principles and practices to maintain operations in the presence of risks and threats. (Cyber Security student learning outcome 1)

Integration

  1. Life long learning skills by learning a complete topic on their own
  2. Technical communication skills by making at least 2 verbal presentations (on recorded) and writing a significant report (10 pages) on what was learned

Details

  • Professor:
  • Office:
  • Class Time: 9:30-10:50am TR
  • 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

Tuesday Thursday
8/18: 8/20:
8/25: 8/27:
9/01: 9/03:
9/06: 9/10:
9/15: 9/17:
9/22: 9/24:
9/29: Service Day 10/01:
10/06: 10/08: Fall Break
10/13: 10/15:
10/20: 10/22:
10/27: 10/29:
11/03: 11/05:
11/10: 11/12:
11/17: 11/19:
11/24 11/26: Thanksgiving Break
12/01: 12/03:
12/08: 12/10: *Final*
8:00-10:00am

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
 
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