CC 410 - Advanced Programming - Spring 2023

Instructor Contact Information

  • Instructor: Russell Feldhausen (russfeld AT ksu DOT edu)
    I use he/him pronouns. Feel free to share your own pronouns with me, and I’ll do my best to use them!
  • Office: DUE 2213, but I mostly work remotely from Kansas City, MO
  • Phone: (785) 292-3121 (Call/Text)
  • Website: https://russfeld.me
  • Virtual Office Hours: By appointment via Zoom. Schedule a meeting at https://calendly.com/russfeld

Preferred Methods of Communication:

  • Email: Students should email cc410-help (cc410-help@KSUemailProd.onmicrosoft.com). We will try to respond within one business day.
  • Chat: You may find instructors online via the CS department Discord server and Microsoft Teams. We will try to respond when we can, but if you don’t get a response please email cc410-help.
  • Phone/Text: Emergencies only! We will do our best to respond as quickly as we can.

Prerequisites

  • CC 315 - Data Structures & Algorithms II

Course Overview

Advanced programming techniques and projects. Concepts from object oriented programming, inheritance and polymorphism. GUI programming and event-driven programming. Software development methodologies, processes, and design patterns. Practical experience with professional communication and collaboration.

Course Description

In this course students gain experience writing programs using a variety of advanced programming techniques. Projects cover a variety of application domains and use a variety of technologies to help students master advanced computer programming concepts.

The goal is not just to write software that compiles without errors, but to develop well-written and maintainable software. This goal demands extra attention to design, documentation, and testing. Additionally, we will explore some of the powerful features of the various languages used, as well as other professional tools like Git.

Major Course Topics

  • Software Development Practices
  • Software Engineering Methodologies
  • Design Patterns and Architectures
  • Computer Security
  • Advanced Object-Oriented Design
  • GUI Programming
  • Event-Driven Programming
  • Professional Communication and Collaboration

Student Learning Outcomes

After completing this course, a successful student will be able to:

  • Develop code following industry best-practices for code style and documentation
  • Develop and execute unit tests that adequately test code for bugs and errors
  • Make use of tools to determine the code coverage of a set of unit tests
  • Make use of source code management tools to maintain and store a code base
  • Create a class library following the object-oriented paradigm that makes effective use of inheritance and polymorphism where appropriate
  • Develop a GUI for a given program that uses event-driven programming to respond to GUI events and manipulate underlying data models
  • Apply common software development methodologies, processes and design patterns to create software that performs a desired task or solves a problem
  • Communicate information about their code effectively with various audiences

Course Structure

These courses are being taught 100% online, and each module is self-paced. There may be some bumps in the road as we refine the overall course structure. Students will work at their own pace through a set of modules, with approximately one module being due each week. Material will be provided in the form of recorded videos, online tutorials, links to online resources, and discussion prompts. Each module will include a coding project or assignment, many of which will be graded automatically through Codio. Assignments may also include portions which will be graded manually via Canvas or other tools.

A common axiom in learner-centered teaching is “the person doing the work is the person doing the learning.” What this really means is that students primarily learn through grappling with the concepts and skills of a course while attempting to apply them. Simply seeing a demonstration or hearing a lecture by itself doesn’t do much in terms of learning. This is not to say that they don’t serve an important role - as they set the stage for the learning to come, helping you to recognize the core ideas to focus on as you work. The work itself consists of applying ideas, practicing skills, and putting the concepts into your own words.

The Work

There is no shortcut to becoming a great programmer. Only by doing the work will you develop the skills and knowledge to make you a successful computer scientist. This course is built around that principle, and gives you ample opportunity to do the work, with as much support as we can offer.

Tutorials, Quizzes & Examples: Each module will include many tutorial assignments, quizzes, and examples that will take you step-by-step through using a particular concept or technique. The point is not simply to complete the example, but to practice the technique and coding involved. You will be expected to implement these techniques on your own in the milestone assignment of the module - so this practice helps prepare you for those assignments.

Milestone Programming Assignments: Throughout the semester you will be building a non-trivial software project iteratively; every week a new milestone (a collection of features embodying a new version of a software application) will be due. Each milestone builds upon the prior milestone’s code base, so it is critical that you complete each milestone in a timely manner! This process also reflects the way software development is done in the real world - breaking large projects into more readily achievable milestones helps manage the development process.

Following along that real-world theme, programming assignments in this class will also be graded according to their conformance to coding style, documentation, and testing requirements. Each milestone’s rubric will include points assigned to each of these factors. It is not enough to simply write code that compiles and meets the specification; good code is readable, maintainable, efficient, and secure. The principles and practices of Object-Oriented programming that we will be learning in this course have been developed specifically to help address these concerns.

Concept Quizzes: There will be a couple of concept quizzes throughout the semester to check your understanding of various programming topics. These will allow you to demonstrate your problem-solving skills and your ability to apply what you’ve learned to novel situations.

Final Project: At the end of this course, you will design and develop a final project of your choosing to demonstrate your ability. This project can link back to your interest or other fields, and will serve as a capstone project for the Computational Core program.

Grading

In theory, each student begins the course with an A. As you submit work, you can either maintain your A (for good work) or chip away at it (for less adequate or incomplete work). In practice, 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:

  • 10% - Tutorials & Quizzes
  • 10% - Examples
  • 40% - Programming Project Milestones
  • 15% - Concept Quizzes
  • 25% - Final Project

Up to 5% of the total grade in the class is available as extra credit. See the Extra Credit - Bug Bounty & Extra Credit - Helping Hands assignments for details.

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

Submission, Regrading, and Early Grading Policy

As a rule, submissions in this course will not be graded until after they are due, even if submitted early. Students may resubmit assignments many times before the due date, and only the latest submission will be graded. For assignments submitted via GitHub release tag, only the tagged release that was submitted to Canvas will be graded, even if additional commits have been made. Students must create a new tagged release and resubmit that tag to have it graded for that assignment.

Once an assignment is graded, students are not allowed to resubmit the assignment for regrading or additional credit without special permission from the instructor to do so. In essence, students are expected to ensure their work is complete and meets the requirements before submission, not after feedback is given by the instructor during grading. However, students should use that feedback to improve future assignments and milestones.

For the programming project milestones, it is solely at the discretion of the instructor whether issues noted in the feedback for a milestone will result in grade deductions in a later milestones if they remain unresolved, though the instructor will strive to give students ample time to resolve issues before any additional grade deductions are made.

Likewise, students may ask questions of the instructor while working on the assignment and receive help, but the instructor will not perform a full code review nor give grading-level feedback until after the assignment is submitted and the due date has passed. Again, students are expected to be able to make their own judgments on the quality and completion of an assignment before submission.

That said, a student may email the instructor to request early grading on an assignment before the due date, in order to move ahead more quickly. The instructor’s receipt of that email will effectively mean that the assignment for that student is due immediately, and all limitations above will apply as if the assignment’s due date has now passed.

Collaboration Policy

In this course, all work submitted by a student should be created solely by the student without any outside assistance beyond the instructor and TA/GTAs. Students may seek outside help or tutoring regarding concepts presented in the course, but should not share or receive any answers, source code, program structure, or any other materials related to the course. Learning to debug coding problems is a vital skill, and students should strive to ask good questions and perform their own research instead of just sharing broken source code when asking for assistance.

Late Work

Warning

Read this late work policy very carefully! If you are unsure how to interpret it, please contact the instructors via 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. For the purposes of record keeping, a combination of the time of a submission via Canvas and the creation of a release in GitHub will be used to determine if the assignment was submitted on time.

However, 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.

Incomplete Policy

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:

  1. Students may receive at most two incompletes in Computational Core courses throughout their time in the program
  2. Students will be given 6 calendar weeks from the end of the enrolled semester’s finals week to complete the course
  3. Any modules in a future CC course which depend on incomplete work will not be accessible until the previous course is finished
  4. 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
  5. 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
  6. 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.

Students will make use of GitHub or GitLab for source code management.

Students may choose to do some development work on their own computer. The recommended software is Visual Studio Code along with access to a system running Ubuntu. For Windows systems, Ubuntu can be installed via the Windows Subsystem for Linux. For Mac systems, Ubuntu can be installed in a virtual machine through VirtualBox.

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. All changes may also be posted to Canvas.

Standard Syllabus Statements

Info

The statements below are standard syllabus statements from K-State and our program. The latest versions are available online here.

Academic Honesty

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.

This course assumes that all your course work will be done by you. 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 without proper attribution is a violation of the K-State Honor Pledge.

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.

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:

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.

Netiquette

Info

This is our personal policy and not a required syllabus statement from K-State. It has been adapted from this statement from K-State Global Campus, and theRecurse Center Manual. We have adapted their ideas to fit this course.

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 equity@ksu.edu 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.

Campus Safety

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.

Student Resources

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.

Mental Health

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.

For Kansas State Salina Campus:

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.