CSC 102: Introduction to Programming: 2 hours.

Description

A gentle introduction to programming for students with no or limited computer programming experience. Students will write small computer programs to practice problem solving and programming methodologies. Labs will be structured around the language common in a given discipline. Lab: CSC 102L

Goals for CSC 102 are:

1. Have and introductory knowledge of programming
2. Be able to write simple programs

Course outcomes for CSC 102 are:

Upon completion of CSC 102, students will understand:

• how to write simple programs
• programming terms including variables, selection, repetition, functions/procedures.

Program outcomes for CSC 102 are:

1. Analyze a complex computing problem and apply principles of computing and other relevant disciplines to identify solutions. (Computing student learning outcome 1.1)
2. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program\x92s discipline. (Computing student learning outcome 2)
3. Communicate effectively in a variety of professional contexts. (Computing student learning outcome 3)
4. Function effectively as a member or leader of a team engaged in activities appropriate to the program\x92s discipline. (Computing student learning outcome 5)

Integration

1. Note taking at the introductory level via accountability for class notes
2. Team work at the introductory level by working in pairs with a robot
3. Professionalism at the introductory level by requiring all communications about the course to be at a professional level
4. Ethics at an introductory level by covering:
   • being honest about what your software can and cannot do
   • encouraging their project to be socially responsible
5. Cybersecurity at the introductory level by covering:
   • secure programming in terms of what crazy input can be given to the program.
6. Verbal communications at an introductory level by requiring each team to present their project and include the some grading of the quality of the presentation as part of the rubric with feedback on how to improve

Details

• Professor: Dr. Cathy Bareiss
• Office SB 31
• Class Time: 1:00-1:50pm M
• Lab Time: 12:00-1:50pm W
• Class Location: S 030
• Textbook:

Course Content

Policies

• Integrity
• LatePolicy

Programs

1. Lab 1: Build and program your robot
2. Lab 2: Selection and the sensors
3. Lab 3: Geometric drawing
4. Lab 4: Play a song
5. Lab 5: Don't fall
6. Lab 6: Tag along
7. Lab 7: Actor
8. Lab 8: Actor with blocks
9. Lab 9: Converting from decimal to binary
10. Lab 10: Color Frequency Counter
11. Lab 11: Project
12. Lab 12: Present your project
13. Lab 13: Evaluate the labs. This will be done during the last lab.

Assignments

1. Reactions 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 s 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. These must be unique to this course
   1. Write a reaction to one article in the ACM TechNews. This needs to be completed by midterm.
   2. Write a reaction to one article in XRDS. This needs to be completed before the final.
2. Other assignments or quizzes as assigned.

Extra credit

To be eligible for extra credit you must be attending class 80% of the time (according to when you turn it in). If you are in sports that causes you to miss class, you should not be missing class on any of the other days.

There are only two types of extra credit available:

1. Extra credit for an assignment or exam. This will be if I determine to offer the entire class some credit for improving work on a given item. This will be used to raise the grade on that item. Details will be given in class when/if this happens. 1. Extra credit that will be used at the end of the class to decide if I should "bump" you up to the next mark.
   1. There may be events that I give extra credit for attending. To earn this, you must attend the event (in person unless otherwise stated) and write a 1/2 page summary of what was said. This is to be turned in as a hard copy within 3 working days of the event.
   2. Do a reaction to an article in the Communications of the ACM

Grades

Your grades are made up of:

• Programs are worth 50% of the grade
• Exams are worth 45% of the grade (with the final exam being comprehensive and worth double)
• Assignments are worth 5% of the 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

Monday	Wednesday Lab
1/6:	1/10 (Fri): Build your robot
1/13: Syllabus and Introduction and how to program and selection	1/15: draw a shape
1/20: MLK day no class	1/22: Work with sensors
1/27: Repetition and debugging	1/29: Geometric Drawing
2/3: Exam 1	2/5: Playing a song
2/10: Parallelism and pair programming	2/12: Don't fall
2/17: How to program (2)	2/19: Tag along
2/24: Exam 2	2/26: Actor
3/3: Spring Break	3/5: Spring Break
3/10: Abstraction and blocks	3/12: Actor with blocks
3/17: Abstraction and blocks (2)	3/19: convert a number from binary to decimal
3/24: Project discussion	3/26: Color frequency counter
3/31: Exam 3	4/2: Design your project
4/7: How to program (3)	4/9: Missional AI Summit
4/14: Advanced techniques	4/16: Show off your project
4/21: Presenting Projects	4/23: Evaluate all projects
4/28: Finals Week	4/30: Finals week Final Exam: 1:00pm-3:00pm

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---+++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