Griffiths and Griffiths, Head First Android Development, 2nd Edition, O'Reilly, 2017. ISBN: 978-93-5213-606-3

• Grading Breakdown: Take-home Final Exam: 20%, D2L Final Exam: 10%, Projects: 55%, D2L Quizzes: 10%, Participation: 5%.
• Grading Scale: 94-100:A, 89-93:A-, 85-88:B+, 80-84:B, 75-79:B-, 70-74:C+, 65-69: C, 60-64: C-, 55-59: D+, 50-54: D, 0-49:F.
• Late Penalties: Late Penalties: 10% per day; no projects will be accepted more than 10 days late.
• Projects may not be resubmitted.

(IT 313 or CSC 300) and (IT 240 or CSC 355)

• Class registration is not allowed after the first week of class.
• All projects must be submitted on D2L.
• Students must keep backup copies of all submitted projects.
• Extra credit assignments are not given.
• No late assignments will be accepted after the Sunday following finals week, 11:59pm.
• An incomplete is hard to get in CDM. It is only allowed for a major illness (typically requiring hospitalization) or a death in the family. In any case documentation is required, and more than one half of the work must be completed for the course.
• The late penalty for projects is 10% per day.  No project will be accepted more that 10 days late.  Exceptions to this policy require documentation and explanation submitted to the Dean of Students. In this situation, the late penalty may be reduced, but not entirely eliminated. Let the instructor and the Dean of Students know before the project is due, not several weeks later.
• If you have trouble submitting any project, email the completed project to the professor to prove that you completed it on time, then submit the assignment on the D2L system as soon as possible.
• Submitting a wrong version is not a reason to waive a late penalty for a project.
• This syllabus is subject to change as necessary during the quarter. If a change occurs, it will be announced during the class and posted on the course announcements page.

Online Course Evaluations
Evaluations are a way for students to provide valuable feedback regarding their instructor and the course. Detailed feedback will enable the instructor to continuously tailor teaching methods and course content to meet the learning goals of the course and the academic needs of the students. They are a requirement of the course and are key to continue to provide you with the highest quality of teaching. The evaluations are anonymous; the instructor and administration do not track who entered what responses. A program is used to check if the student completed the evaluations, but the evaluation is completely separate from the student’s identity. Since 100% participation is our goal, students are sent periodic reminders over three weeks. Students do not receive reminders once they complete the evaluation.

Academic Integrity and Plagiarism
This course will be subject to the university's academic integrity policy. The DePaul Student Handbook defines plagiarism as follows: “Plagiarism includes but is not limited to the following: (a) The direct copying of any source, such as written and verbal material, computer files, audio disks, video programs or musical scores, whether published or unpublished, in whole or in part, without proper acknowledgement that it is someone else’s. (b) Copying of any source in whole or in part with only minor changes in wording or syntax even with acknowledgement. (c) Submitting as one's own work a report, examination paper, computer file, lab report or other assignment which has been prepared by someone else. This includes research papers purchased from any other person or agency. (d) The paraphrasing of another's work or ideas without proper acknowledgement.” Plagiarism will result in a failure of the assignment or possibly of the course. If you are unsure of how to cite a source, ask!

More information can be found at http://academicintegrity.depaul.edu/. If you have any questions, consult with instructor.

1. Recognize and explain statistically based results from real data (either primary or secondary) and evaluate whether reported conclusions reasonably follow from the study and analysis conducted.

2. Use statistical software to produce and interpret graphical displays and statistical summaries.

3. Recognize and explain the roles of variability and randomness in interpreting data and drawing conclusions.

4. Explain common ethical issues associated with sound statistical practice, including those associated with research design, and their impact on statistical decision-making.

5. Measure the strength of association between variables and identify possible effects of confounding or interacting variables on the interpretation of the association.

6. Apply basic ideas of statistical inference, including confidence intervals or hypothesis testing, in a variety of settings.

Writing Expectations

Writing is integral for communicating ideas and progress in science, mathematics and technology. The form of writing in these disciplines is different from most other fields and includes, for example, mathematical equations, computer code, figures and graphs, lab reports and journals.

Throughout the course, students will be required to provide clearly written analyses of their interpretations of the results of their statistical calculations. The student will be required to explain their reasoning accompanied by specific examples from their own solutions to problems, and from their interpretation of concepts and examples discussed during the course.