CS 211: Object Oriented Programming
George Mason University Department of Computer Science

Spring 2019

1. Course Basics

1.1 Prerequisites:

CS112 (C or better) and access to a Java-capable computer

1.2 Format:

Lecture plus weekly lab

1.3 Webpage:

https://mason.gmu.edu/~iavramo2/classes/cs211s19.html

1.4 Textbooks:

• CS 211 Lab Manual, available for free download from https://cs.gmu.edu/~marks/211/textbook/

• zyBooks Programming in Java, available online at https://learn.zybooks.com/ (access using the sign-in code GMUCS211AvramovicSpring2019)

• (Optional) Reges and Stepp, Building Java Programs, 3rd ed., available online at https://practiceit.cs.washington.edu/

1.5 Instructors:

1.6 Assistants:

• Zheng Chai (zchai2-at-gmu.edu)

• Mohammad Rahman (mrahma23-at-gmu.edu)

• Ashwin Ravishankar (aravisha-at-gmu.edu)

• Pushal Reddy (preddy6-at-gmu.edu)

• Sabiha Salma (ssalma-at-gmu.edu)

• Charu Singh (csingh6-at-gmu.edu)

• Ao Wang (awang24-at-gmu.edu)

1.7 Lectures:

1.8 Piazza: used for all official announcements and online discussion; any information discussed on Piazza will be assumed to be known to students.

• Course schedule, announcements, lecture slides, assignments, discussion. GTA/UTA contacts and office hours will be on Piazza too. Sign up yourself by following this link: https://piazza.com/gmu/spring2019/cs211/resources

• Do not e-mail course staff about programming problems; use the discussion board.

• Use public posts on Piazza to discuss programming project requirements, labs, and other material related to the course.

• When prompted by a TA, use private posts on Piazza to share portions of your code pertaining to your questions. Don't share your project code in public posts.

• Email course staff only for logistical issues such as meeting outside of office hours, missing lab/lecture, grading disputes, medical situations, etc. Email addresses are listed on Piazza (Resources → Staff).

1.9 Blackboard: used to provide and submit assignments, as well as to view grades.

2. Course Information

2.1 Course Description:

Thorough treatment of programming according to object-oriented principles. Introduces classes, interfaces, inheritance, polymorphism, and single dispatch as means to decompose problems. Covers intermediate programming techniques including error handling through exceptions, arrangement of source code into packages, and simple data structures. Intermediate debugging techniques and unit testing are covered.

2.2 Course Outcomes:

1. An understanding of basic object-oriented (OO) programming concepts and principles.

2. An ability to apply basic object-oriented principles and techniques in the development of software systems using a specific programming language.

3. An ability to effectively develop software systems using both basic command line tools and sophisticated integrated development environments, and to understand the advantages and limitations of each.

4. An ability to successfully perform debugging operations and techniques.

5. An ability to perform software development in both individual and team environments.

6. An understanding of programming-related references/resources available to software developers and the ability to use them effectively - both in ongoing projects and in the acquisition of new technical skills.

7. An understanding of how acquired programming skills facilitate success in upper level CS courses and in various professional environments.

3. Coursework

• zyBooks: online textbook with practice problems; weekly deadlines for completing the practices are checked automatically.

• Labs:

  • Exercise: programming assignment; open resources; collaboration/group work allowed; several days to submit.

  • Quiz: pencil and paper; closed resources; individual; due same-day during lab.

  • Task: computer assignment; closed resources; individual; due same-day during lab.

• Projects: programming assignment; individual work; possibly more than a week to complete.

• Exams: individual work; in-class.

4. Grading Procedures

4.1 Grade Distribution:

4.2 Grading Policies:

• Grades within a category (i.e. midterms, projects, labs) are weighted equally.

• Students must show their Mason ID card when taking exams.

• By department policy, the student must pass the final or the weighted average of all three exams must be a passing grade (≥ 60) in order for a student to pass the course.

• The final exam is cumulative; a high final exam score dominates (replaces) lower scores on one or both of the midterms.

• Challenging of any grade must occur within a week of when the graded assignment has been returned.

• Any number of resubmissions are allowed (the most recent is used), however a resubmission turned in after the deadline will be considered a late submission.

• Lab exercise grading is fully automated. Quizzes may be hand-graded. Lab task and project grading is partially automated. Even when manually graded, code which does not compile will receive a zero in most cases.

• Lab attendence is mandatory. For lab exercises which do not need to be submitted during lab, attendence can impact one point (out of 10) of each assignment. A grace of up to 3 missed points is allowed (this is independent of dropped lab scores and late tokens).

• Absences are absorbed by the drop policy - in general, make-ups are not allowed except on exams (provided a valid excuse).

• Assignments are typically due at midnight on the listed due date.

• Late work can be mitigated by emergency tokens (see below).

4.3 Emergency Tokens

• Every student begins the semester with a non-replenishing allotment of three emergency tokens.

• For every emergency token, a submitted assignment (programming projects and lab exercises) can be submitted a day (24 hours) late without penalty. An assignment can be submitted two days late at the cost of two tokens.

• No assignment will be accepted more than 2 days late (i.e. if 3 tokens are available, at most 2 of them can be used on the assignment).

• Without applying tokens, a one day late assignment can receive a maximum score of 75%, while a two day late assignment can receive a maximum score of 50%. Beyond that an assignment receives a zero, regardless of tokens. The score is a score cap rather than a penalty (a one day late assignment which would have recieved an 85% would still get a 75%).

• Tokens are applied in the order that assignments are submitted, such that projects have priority over labs (tokens are first applied to projects and then to labs if there are any remainng); a student cannot pick and choose where to use tokens to maximize impact.

• Tokens are use-it-or-lost it; if a student has tokens remaining at the end of the semester, nothing happens with them.

4.4 Honors Section Differences (Sec H01)

During some lectures, additional material will be mentioned with some reading associated with it. Students in H01 are expected to do these additional readings and master those topics as they may appear on the H01 tests and final exams. Each programming project will have an "Honors Problem" which honors students must complete. These problems may reflect the additional topics covered in lecture and often be more difficult than other portions of the project. Grading projects for honors students will be out of total points available including the honors section: each project will have 100 points plus an honors section, frequently worth up to 20 points. In such cases honors students will be scored e.g. as X / 120 for a score of X on a project with 120 points. For example, an honors student who turns a project in on time and receives a 99 on it will get 99/120 = 82.5% for the project. Late projects will have the standard class late policy.

4.5 Grading Scale

Tips

• Make backups, because the unexpected happens, and cannot be used as an excuse to get an extension.

• Submission times are automatically recorded by Blackboard, and there's no distinction between a tiny bit late and nearly a day late - plan ahead to make sure that your submission is on time.

• To receive a grade, the submission must be gradable. This means submitting .java source rather than compiled .class files or word documents containing the source. It also means that the code must be submitted on Blackboard rather than simply saved.

5. Honor Code

Unless specific instructions are given to the contrary, programming assignments are an individual effort, no group work is allowed. In addition to code, this includes the sharing of test cases, pseudocode, or approaches, receiving assistance in debugging code, as well as the use of external Internet sites. Both the GMU Honor Code and the CS Department Honor Code apply in this class. Any use of a direct contribution on any program, homework, quiz, or exam will be reported as a violation of the honor code.

6. Special Accommodations

Students who have a right to accommodations due to disabilities or other conditions should discuss this with the instructor as soon as possible. Accommodations will follow the recommendations of the University's Office of Disability Services.