CC 210 Syllabus - Spring 2023
CC 210 - Fundamental Computer Programming Concepts
Instructor Contact Information
- Instructor: Emily Alfs-Votipka (emilyalfs AT ksu DOT edu)
I use she/her pronouns. Feel free to share your own pronouns with me, and I’ll do my best to use them!
- Office: DUE 2161
- Office Hours: M/W 1:00-3:00
- Want to meet with me outside of my regular office hours? https://calendly.com/emilyalfs
Preferred Methods of Communication:
- Email: Please use “cc210-help” (email@example.com if not on web-mail) for all communication regarding these courses as it allows instructors and TAs to provide a clear and detailed response, as well as easily store and record communication for reference later. You should receive a response within one business day, and hopefully much sooner. Note emailing the instructor or teaching assistants directly may result in longer wait times for your support.
Teaching Assistants and Office Hours
All TA office hours will be held in DUE 1118A and have the ability to join virtually: https://officehours.cs.ksu.edu/ Email CC210-help for assitance with the queue
|Sumaira Ghazal||Tue/Thur 9:30 - 11:30|
|Sai Teja Erukude||Tue/Thur 11:30-1:30|
How to Get Help in this Course
You are encouraged to seek help whenever you feel you are being overwhelmed or don’t understand a topic. You are not alone! The instructors and TAs are always willing to help students with any questions you may have about the class or other issues related to Computing Science. So please, don’t be afraid to ask questions. Get help early and often!
Here are the 4 recommended ways to get help on CC 210:
- Review the course materials posted on K-State Canvas and the course website
- Send assignment questions to the CC 210 Help email (firstname.lastname@example.org )
- Visit your professor’s office hours, or the office hours for your TA if available
- Schedule a one-on-one meeting with your professor/TA
- C or better in CC 110 - Introduction to Computing (Prerequisite or Concurrent Enrollment with instructor permission)
Basic concepts in developing computer programs: program structure and syntax, primitive data types, variables, control flow, iteration, simple algorithms, debugging, and good software development practices. Introduction to object-oriented programming.
The course introduces students to computer programming using one of several programming languages. Interactive lessons and engaging projects reinforce new skills and concepts while relating programming fundamentals to the real world. This course covers the basic concepts of programming, from variables and control flow to functions, objects, and simple algorithms.
In either Java or Python (J or P), successful students should be able to:
- Evaluate data requirements to create variables, use operators and call/create functions for: strings, integers, real numbers and Boolean values.
- Understand the creation and use of mono-typed Lists (P) or Arrays (J) and their common built in methods and attributes.
- Analyze and adapt string methods to split, join and extract sub-strings to solve problems.
- Understand how code written by them may throw exceptions
- Understand how to create new exceptions
- Understand and adapt exception handling structures
- Understand how to create programs that read-from and write-to text files.
- Analyze and create conditional statement to control program execution
- Analyze and create loops to control program execution
- Analyze and adapt methods/function to control program execution
- Remember to consider separation of concerns when creating methods
- Understand how to create instance-based classes to include
- public/private access of components
- attributes, properties and methods
- Understand how to adapt Boolean equations to common natural language problem statements
- Understand how to adapt class APIs to incorporate objects in solutions
- Analyze medium-to-low-level designs expressed as text-based program requirements to create programs including: UML Class diagrams, flow charts and pseudo code
- Create terminal or console based programs
Major Course Topics
- Programming Basics
- Primitive Data Types
- Boolean Logic and Boolean Algebra
- Conditional Statements
- Arrays / Lists
- Strings, String Parsing, and String Formatting
- Exception Handling and Debugging
- Console and File I/O
- Methods, Arguments and Parameters
- Classes and Objects
- Object-Oriented Programming
- Model-View-Controller Architecture
- Inheritance and Polymorphism
- Standard Library/Module Collections and generic types
This course is intended to be taught 100% online, each module is self-paced, and each module must be completed to progress to the next one. Students are expected to make good progress; we have found students who fall behind often fail to successfully complete the class. In general, one or more modules are assigned each week. There are 2 weeks where no new module is assigned. This is a strong indication that the previous week’s module takes a lot of time (modules 7, 10 and 12). Modules will contain recorded videos, online tutorials, text and links to online resources. Each module will include a coding project or assignment, many of which will be graded automatically through Codio. You will be asked to pick a language by the end of the first week (Java or Python) at which point you will be invited to a language specific Canvas course. All content is accessed through this second Canvas course.
Each student starts with 0 points in the gradebook and works upward toward a final point total earned out of the possible number of points. In this course, each assignment constitutes a portion of the final grade, as detailed below: 70% - Codio Programming Projects 30% - Codio Tutorials and Canvas Quizzes 5% - Extra Credit: Bug Bounty
Letter grades will be assigned following the standard scale:
- 90% - 100% → A
- 80% - 89.99% → B
- 70% - 79.99% → C
- 60% - 69.99% → D
- 00% - 59.99% → F
Read this late work policy very carefully! If you are unsure how to interpret it, please contact the instructors via the help email. Not understanding the policy does not mean that it won’t apply to you!
Since this course is entirely online, students may work at any time and at their own pace through the modules. However, to keep everyone on track, there will be approximately one module due each week. Each graded item in the module will have a specific due date specified. Any assignment submitted late will have that assignment’s grade reduced by 10% of the total possible points on that project for each day it is late. This penalty will be assessed automatically in the Canvas gradebook.
Even if a module is not submitted on time, it must still be completed before a student is allowed to begin the next module. So, students should take care not to get too far behind, as it may be very difficult to catch up.
Finally, all course work must be submitted on or before the last day of the semester in which the student is enrolled in the course in order for it to be graded on time.
If you have extenuating circumstances, please discuss them with the instructor as soon as they arise so other arrangements can be made. If you find that you are getting behind in the class, you are encouraged to speak to the instructor for options to make up missed work.
Students should strive to complete this course in its entirety before the end of the semester in which they are enrolled. However, since retaking the course would be costly and repetitive for students, we would like to give students a chance to succeed with a little help rather than immediately fail students who are struggling.
If you are unable to complete the course in a timely manner, please contact the instructor to discuss an incomplete grade. Incomplete grades are given solely at the instructor’s discretion. See the official K-State Grading Policy for more information. In general, poor time management alone is not a sufficient reason for an incomplete grade.
Unless otherwise noted in writing on a signed Incomplete Agreement Form , the following stipulations apply to any incomplete grades given in Computational Core courses:
- Students may receive at most two incompletes in Computational Core courses throughout their time in the program
- Students will be given 6 calendar weeks from the end of the enrolled semester’s finals week to complete the course
- Any modules in a future CC course which depend on incomplete work will not be accessible until the previous course is finished
- For example, if a student is given an incomplete in CC 210, then all modules in CC 310 will be inaccessible until CC 210 is complete
- Students understand that access to instructor and GTA assistance may be limited after the end of an academic semester due to holidays and other obligations
- If a student fails to resolve an incomplete grade after 6 weeks, they will be assigned an ‘F’ in the course. In addition, they will be dropped from any other Computational Core courses which require the failed course as a prerequisite or corequisite.
Recommended Texts & Supplies
To participate in this course, students must have access to a modern web browser and broadband internet connection. All course materials will be provided via Canvas and Codio. Modules may also contain links to external resources for additional information, such as programming language documentation.
Subject to Change
The details in this syllabus are not set in stone. Due to the flexible nature of this class, adjustments may need to be made as the semester progresses, though they will be kept to a minimum. If any changes occur, the changes will be posted on the Canvas page for this course and emailed to all students.
Kansas State University has an Honor and Integrity System based on personal integrity, which is presumed to be sufficient assurance that, in academic matters, one’s work is performed honestly and without unauthorized assistance. Undergraduate and graduate students, by registration, acknowledge the jurisdiction of the Honor and Integrity System. The policies and procedures of the Honor and Integrity System apply to all full and part-time students enrolled in undergraduate and graduate courses on-campus, off-campus, and via distance learning. A component vital to the Honor and Integrity System is the inclusion of the Honor Pledge which applies to all assignments, examinations, or other course work undertaken by students. The Honor Pledge is implied, whether or not it is stated: “On my honor, as a student, I have neither given nor received unauthorized aid on this academic work.” A grade of XF can result from a breach of academic honesty. The F indicates failure in the course; the X indicates the reason is an Honor Pledge violation.
For this course, a violation of the Honor Pledge will result in sanctions such as a 0 on the assignment or an XF in the course, depending on severity. Actively seeking unauthorized aid, such as posting lab assignments on sites such as Chegg or StackOverflow, or asking another person to complete your work, even if unsuccessful, will result in an immediate XF in the course.
Use of AI text and code generators such as ChatGPT and GitHub Copilot in any submission for this course is strictly forbidden unless explicitly allowed by your instructor. Any unauthorized use of these tools is considered plagiarism.
We reserve the right to use various platforms that can perform automatic plagiarism detection by tracking changes made to files and comparing submitted projects against other students’ submissions and known solutions. That information may be used to determine if plagiarism has taken place.
The copying and pasting of code is not allowed. All coding must be done in the Codio IDE. If you paste any code into Codio (other than code which is explicitly given as starter code in the course) a zero will be given. If the violation occurs a second time, an XF will be given for the course.
All graded work is individual effort. You are authorized to use:
direct web-links from this course
the appropriate languages documentation (https://docs.python.org/3/ or https://docs.oracle.com/javase/ Links to an external site.)
Email help received through 210 help email, CC - Instructors, GTAs
Zoom/In-person help received from Instructors or GTA
ACM help session (an on campus only resource) Most Tuesdays in EH 1116, 6:30PM.
Tutors from the Academic Assistance Center or provided by K-State Athletics
Use of on-line solutions whether for reference or code is prohibited. Use of previous semester’s answers, whether your own or another student’s is prohibited. Use of code-completion/suggestion tool’s, other than those we have installed in the Codio editor, is prohibited.
Standard Syllabus Statements
The statements below are standard syllabus statements from K-State and our program. The latest versions are available online here .
Students with Disabilities
At K-State it is important that every student has access to course content and the means to demonstrate course mastery. Students with disabilities may benefit from services including accommodations provided by the Student Access Center. Disabilities can include physical, learning, executive functions, and mental health. You may register at the Student Access Center or to learn more contact:
- Manhattan/Olathe/Global Campus – Student Access Center
- K-State Salina Campus – Julie Rowe; Student Success Coordinator
Students already registered with the Student Access Center please request your Letters of Accommodation early in the semester to provide adequate time to arrange your approved academic accommodations. Once SAC approves your Letter of Accommodation it will be e-mailed to you, and your instructor(s) for this course. Please follow up with your instructor to discuss how best to implement the approved accommodations.
Expectations for Conduct
All student activities in the University, including this course, are governed by the Student Judicial Conduct Code as outlined in the Student Governing Association By Laws , Article V, Section 3, number 2. Students who engage in behavior that disrupts the learning environment may be asked to leave the class.
Mutual Respect and Inclusion in K-State Teaching & Learning Spaces
At K-State, faculty and staff are committed to creating and maintaining an inclusive and supportive learning environment for students from diverse backgrounds and perspectives. K-State courses, labs, and other virtual and physical learning spaces promote equitable opportunity to learn, participate, contribute, and succeed, regardless of age, race, color, ethnicity, nationality, genetic information, ancestry, disability, socioeconomic status, military or veteran status, immigration status, Indigenous identity, gender identity, gender expression, sexuality, religion, culture, as well as other social identities.
Faculty and staff are committed to promoting equity and believe the success of an inclusive learning environment relies on the participation, support, and understanding of all students. Students are encouraged to share their views and lived experiences as they relate to the course or their course experience, while recognizing they are doing so in a learning environment in which all are expected to engage with respect to honor the rights, safety, and dignity of others in keeping with the K-State Principles of Community .
If you feel uncomfortable because of comments or behavior encountered in this class, you may bring it to the attention of your instructor, advisors, and/or mentors. If you have questions about how to proceed with a confidential process to resolve concerns, please contact the Student Ombudsperson Office . Violations of the student code of conduct can be reported using the Code of Conduct Reporting Form . You can also report discrimination, harassment or sexual harassment , if needed.
Online communication is inherently different than in-person communication. When speaking in person, many times we can take advantage of the context and body language of the person speaking to better understand what the speaker means, not just what is said. This information is not present when communicating online, so we must be much more careful about what we say and how we say it in order to get our meaning across.
Here are a few general rules to help us all communicate online in this course, especially while using tools such as Canvas or Discord:
- Use a clear and meaningful subject line to announce your topic. Subject lines such as “Question” or “Problem” are not helpful. Subjects such as “Logic Question in Project 5, Part 1 in Java” or “Unexpected Exception when Opening Text File in Python” give plenty of information about your topic.
- Use only one topic per message. If you have multiple topics, post multiple messages so each one can be discussed independently.
- Be thorough, concise, and to the point. Ideally, each message should be a page or less.
- Include exact error messages, code snippets, or screenshots, as well as any previous steps taken to fix the problem. It is much easier to solve a problem when the exact error message or screenshot is provided. If we know what you’ve tried so far, we can get to the root cause of the issue more quickly.
- Consider carefully what you write before you post it. Once a message is posted, it becomes part of the permanent record of the course and can easily be found by others.
- If you are lost, don’t know an answer, or don’t understand something, speak up! Email and Canvas both allow you to send a message privately to the instructors, so other students won’t see that you asked a question. Don’t be afraid to ask questions anytime, as you can choose to do so without any fear of being identified by your fellow students.
- Class discussions are confidential. Do not share information from the course with anyone outside of the course without explicit permission.
- Do not quote entire message chains; only include the relevant parts. When replying to a previous message, only quote the relevant lines in your response.
- Do not use all caps. It makes it look like you are shouting. Use appropriate text markup (bold, italics, etc.) to highlight a point if needed.
- No feigning surprise. If someone asks a question, saying things like “I can’t believe you don’t know that!” are not helpful, and only serve to make that person feel bad.
- No “well-actually’s.” If someone makes a statement that is not entirely correct, resist the urge to offer a “well, actually…” correction, especially if it is not relevant to the discussion. If you can help solve their problem, feel free to provide correct information, but don’t post a correction just for the sake of being correct.
- Do not correct someone’s grammar or spelling. Again, it is not helpful, and only serves to make that person feel bad. If there is a genuine mistake that may affect the meaning of the post, please contact the person privately or let the instructors know privately so it can be resolved.
- Avoid subtle -isms and microaggressions. Avoid comments that could make others feel uncomfortable based on their personal identity. See the syllabus section on Diversity and Inclusion above for more information on this topic. If a comment makes you uncomfortable, please contact the instructor.
- Avoid sarcasm, flaming, advertisements, lingo, trolling, doxxing, and other bad online habits. They have no place in an academic environment. Tasteful humor is fine, but sarcasm can be misunderstood.
As a participant in course discussions, you should also strive to honor the diversity of your classmates by adhering to the K-State Principles of Community .
Discrimination, Harassment, and Sexual Harassment
Kansas State University is committed to maintaining academic, housing, and work environments that are free of discrimination, harassment, and sexual harassment. Instructors support the University’s commitment by creating a safe learning environment during this course, free of conduct that would interfere with your academic opportunities. Instructors also have a duty to report any behavior they become aware of that potentially violates the University’s policy prohibiting discrimination, harassment, and sexual harassment, as outlined by PPM 3010 .
If a student is subjected to discrimination, harassment, or sexual harassment, they are encouraged to make a non-confidential report to the University’s Office for Institutional Equity (OIE) using the online reporting form . Incident disclosure is not required to receive resources at K-State. Reports that include domestic and dating violence, sexual assault, or stalking, should be considered for reporting by the complainant to the Kansas State University Police Department or the Riley County Police Department . Reports made to law enforcement are separate from reports made to OIE. A complainant can choose to report to one or both entities. Confidential support and advocacy can be found with the K-State Center for Advocacy, Response, and Education (CARE) . Confidential mental health services can be found with Lafene Counseling and Psychological Services (CAPS) . Academic support can be found with the Office of Student Life (OSL) . OSL is a non-confidential resource. OIE also provides a comprehensive list of resources on their website. If you have questions about non-confidential and confidential resources, please contact OIE at email@example.com or (785) 532–6220.
Academic Freedom Statement
Kansas State University is a community of students, faculty, and staff who work together to discover new knowledge, create new ideas, and share the results of their scholarly inquiry with the wider public. Although new ideas or research results may be controversial or challenge established views, the health and growth of any society requires frank intellectual exchange. Academic freedom protects this type of free exchange and is thus essential to any university’s mission.
Moreover, academic freedom supports collaborative work in the pursuit of truth and the dissemination of knowledge in an environment of inquiry, respectful debate, and professionalism. Academic freedom is not limited to the classroom or to scientific and scholarly research, but extends to the life of the university as well as to larger social and political questions. It is the right and responsibility of the university community to engage with such issues.
Kansas State University is committed to providing a safe teaching and learning environment for student and faculty members. In order to enhance your safety in the unlikely case of a campus emergency make sure that you know where and how to quickly exit your classroom and how to follow any emergency directives. Current Campus Emergency Information is available at the University’s Advisory webpage.
K-State has many resources to help contribute to student success. These resources include accommodations for academics, paying for college, student life, health and safety, and others. Check out the Student Guide to Help and Resources: One Stop Shop for more information.
Student Academic Creations
Student academic creations are subject to Kansas State University and Kansas Board of Regents Intellectual Property Policies. For courses in which students will be creating intellectual property, the K-State policy can be found at University Handbook, Appendix R: Intellectual Property Policy and Institutional Procedures (part I.E.) . These policies address ownership and use of student academic creations.
Your mental health and good relationships are vital to your overall well-being. Symptoms of mental health issues may include excessive sadness or worry, thoughts of death or self-harm, inability to concentrate, lack of motivation, or substance abuse. Although problems can occur anytime for anyone, you should pay extra attention to your mental health if you are feeling academic or financial stress, discrimination, or have experienced a traumatic event, such as loss of a friend or family member, sexual assault or other physical or emotional abuse.
If you are struggling with these issues, do not wait to seek assistance.
- Kansas State University Counseling and Psychological Services offers free and confidential services to assist you to meet these challenges.
- Lafene Health Center has specialized nurse practitioners to assist with mental health.
- The Office of Student Life can direct you to additional resources.
- K-State Family Center offers individual, couple, and family counseling services on a sliding fee scale.
- Center for Advocacy, Response, and Education (CARE) provides free and confidential assistance for those in our K-State community who have been victimized by violence.
For Kansas State Salina Campus:
- Kansas State Salina Counseling Services offers free and confidential services to assist you to meet these challenges.
- The Kansas State Salina Office of Student Life can direct you to additional resources.
- The Kansas State Salina Campus offers several services for students, including health services, counseling, and academic assistance.
For Global Campus/K-State Online:
- K-State Online students have free access to mental health counseling with My SSP - 24/7 support via chat and phone.
- The Office of Student Life can direct you to additional resources.
University Excused Absences
K-State has a University Excused Absence policy (Section F62) . Class absence(s) will be handled between the instructor and the student unless there are other university offices involved. For university excused absences, instructors shall provide the student the opportunity to make up missed assignments, activities, and/or attendance specific points that contribute to the course grade, unless they decide to excuse those missed assignments from the student’s course grade. Please see the policy for a complete list of university excused absences and how to obtain one. Students are encouraged to contact their instructor regarding their absences.
© The materials in this online course fall under the protection of all intellectual property, copyright and trademark laws of the U.S. The digital materials included here come with the legal permissions and releases of the copyright holders. These course materials should be used for educational purposes only; the contents should not be distributed electronically or otherwise beyond the confines of this online course. The URLs listed here do not suggest endorsement of either the site owners or the contents found at the sites. Likewise, mentioned brands (products and services) do not suggest endorsement. Students own copyright to what they create.