CSC 491: Senior Capstone: 3 hours

Description

Description: This is a capstone experience for all computing majors. It covers advanced principles of computing including optimization, parallelism, advanced architecture, and other fundamental topics not covered elsewhere in the curriculum. It also includes career skills. Students will present their work to their peers. Guest speakers may also present. Pre-requisite: Junior or Senior standing and at least nine hours of CSC courses.

Goals for CSC 491 are:

1. Learn about issues that span computing
2. Learn advanced CS topics
3. Present own work

Course outcomes for CSC 491 are:

Upon completion of CSC 491, students will:

• be able to learn and present new complex computing material
• understand recurring themes in computing
• have been exposed to advanced issues in computing and understand the basics associated with them

Program outcomes for CSC 491 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. Use technology to help bring Christ to the world and apply Christian principles to their work. (Computing student learning outcome 7)
6. Understand and use appropriate cloud technologies in specified areas (Computing student learning outcome 8)
7. Apply computer science theory and software development fundamentals to produce computing-based solutions. (Computer Science student learning outcome 1)
8. Support the delivery, use, and management of information systems within an information systems environment. (Computing and Information Systems student learning outcome 1)
9. 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 by taking what was covered in class and expanding on it in more detail

Details

• Professor: Dr. Cathy Bareiss
• Office SB 031
• Class Time: TR 9:30-10:50
• Class Location: S 030
• Textbook:

Course Content

Policies

• Integrity
• LatePolicy

Assignments

Homework

Homework assignments will be made for each section. However, for two topics (your choice) you must do a review of a article in either ACM Technews, ACM Crossroads, or ACM communications. The review must be done between the beginning of the topic and the due date of the assignment of the topic. This is to be a hard copy turned in during class. If using the Technews, it cannot be more than 3 weeks old. If using the Crossroads or Communications, it must be from this semester. Include the reference to the article. Be sure to include your opinion on the topic

Exams

Exams will be given throughout the semester including a comprehensive final that is weighted twice a normal exam.

Grades

• Homework, quizzes, etc. are worth 40% of the final grade. The standard homeworks will be worth 75% of this portion and quizzes, etc. will be worth the remaining 25%
• Exams are worth 60% of the final grade
• 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
4/1: Networking	4/3: parallelism, distributed computing, concurrency
4/8: Missional AI Summit ICCP Exam	4/10: Missional AI Summit ICCP Exam
4/15: HCI	4/17: Easter Break
4/22: TBD	4/24: Exam 4
4/29: Finals Week Final exam: 8:00-10:00	5/1: Finals week
3/4: Spring Break	3/6: Spring Break
3/11: Data structures	3/13: Copyrights, etc.
3/18: Software Engineering	3/20: Careers
3/25: Large Language Models	3/27: Exam 3
2/4: Advanced architecture	2/6: Advanced architecture
2/11: Parallel programming	2/13: Parallel programming
2/18: OS/hardware/architecture: Lower level: digital/analog, inode, interrupts, parity, RAID, von Neumann	2/20: OS/hardware/architecture: process handing, sempahores/race conditions, compilers, language paradigms,
2/25:	2/27: SIGCSE Exam 2
1/7:	1/9: Tradeoffs
1/14: Tradeoffs	1/16: Errors
1/21: Errors	1/23: Limits (including P/NP)
1/28: Limits	1/30: Exam 1

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.com.edu for an appointment.

Education Majors:

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