Introduction to Programming I
Fall Semester, 2017
Introduction to programming using Python. Design, implementation and testing of programs to solve problems primarily in engineering, mathematics and science. Programming fundamentals, functions, classes, lists, and dictionaries.
In this course, students will study general programming concepts, as well as a modern programming language which illustrates those concepts. Students will design, implement and test Python programs.
At the end of this course when presented with a problem we expect that a student with respond: "Hey, I can write a program to do that!"
You are responsible for all the details in the syllabus below, but here are highlights.
|Dr. Richard Enbody|
|Office: 3145 Engineering|
|Office Phone: 517-353-3389|
|email: email@example.com (email is by far the best way to contact me.)|
|Office Hours: To schedule an appointment go to my Google calendar, find an available slot, send an email requesting an appointment at that time -- the email is to handle overlapping requests. (With 700 students I find that any regularly scheduled times do not work for too many students so individual appointments are more convenient for students.)|
|Office: 3501 Engineering|
|email: firstname.lastname@example.org (email is by far the best way to contact me.)|
|Office Hours: email to make an appointment. (With more than 650 students, any regularly scheduled times do not work for too many students).|
Couse Web Site: https://www.cse.msu.edu/~cse231
Discussion boards will be on https://piazza.com
The Due Dates Page is your guide to due dates for the semester:
To allow some flexibility:
Except for extreme circumstances (e.g. a car crash puts you overnight in a hospital) there will be no other extensions.
Each student's course grade will be based on the sum of the points earned in
the following categories (points are different for the Honors Section):
|Examinations||(45% of total course points)|
|Computer Projects||(45% of total course points)|
|Chapter Exercises||(10% of total course points)|
The following table gives the scale for course grades:
|4.0||90% of points available|
|3.5||85% of points available|
|3.0||80% of points available|
|2.5||75% of points available|
|2.0||70% of points available|
|1.5||65% of points available|
|1.0||60% of points available|
Two midterm examinations and a final examination will be conducted during
the semester, and will constitute 45% of the total course points.
You will be allowed one sheet of notes (8.5x11 inches) both sides,
but no electronic devices. Non-native English speakers may bring a paper dictionary.
Students in the online section have the option of taking exams on campus (no fee) or taking exams remotely for a fee (we use a commercial online proctoring firm which charges approximately $15 per exam, and requires a web cam). Online students planning on taking exams remotely will have to make proctoring arrangements with the instructor 10 days before the exam. Remote exams take place at the same time on the same day as local exams: 7:00 PM Eastern Time US.
All issues related to the final examination will follow the policies and schedule of the University: MSU Final Exam Schedule.
Labs are mandatory and there will be a laboratory exercise due every week.
Missing labs will reduce your final grade (see below).
The labs are designed to be learning tools that complement the lectures and assigned readings. They are designed to be collaborative experiences where students work with each other and the Teaching Assistant to complete the lab exercises.
Online students (Section 730) hand in lab exercises using Mimir and are due at 11:59 PM on the due date (usually Fridays).
Important: Students who get a zero on more than two (2) laboratory exercises will have their course grade reduced by 0.5 for each laboratory exercise missed beyond two. For example, if a student had sufficient points to normally earn a 3.0, but zeros four (4) laboratory exercises, that student's grade will be reduced by 2*0.5 to a 2.0 course grade.
Students will be assigned Chapter Exercises (on Mimir).
Collaboration is encouraged.
Chapter Exercises constitute 10% of the course points. They will not be graded, only recorded as Correct/NotCorrect. There is no limit to the number of tries to getting a chapter exercise correct.
A series of computer projects will be assigned, and will constitute 45% of the total course points. The projects will include the design and implementation of solutions using Python. Projects are submitted through Mimir. Late projects are not accepted (see exception above). If you are unable to complete a project by the due date because of illness or personal emergency, contact your instructor. If appropriate, an extension will be granted.
Programming projects are to be done individually -- unlike labs and MPL that are done collaboratively. If a programming project is done in collaboration with another student, you will both be assigned a zero with an Academic Dishonesty report filed with the University : see note about Academic Integrity below.
For submission and auto-testing of projects we use Mimir, a commercial product, for which there is a $25 charge.
The Department of Computer Science and Engineering expects all students to adhere to MSU's General Student Regulation 1.00, Protection of Scholarship and Grades, which states:
The principles of truth and honesty are fundamental to the educational process and the academic integrity of the University; therefore, no student shall:
1.01 claim or submit the academic work of another as one's own.
1.02 procure, provide, accept or use any materials containing questions or answers to any examination or assignment without proper authorization.
1.03 complete or attempt to complete any assignment or examination for another individual without proper authorization.
1.04 allow any examination or assignment to be completed for oneself, in part or in total, by another without proper authorization.
1.05 alter, tamper with, appropriate, destroy or otherwise interfere with the research, resources, or other academic work of another person.
1.06 fabricate or falsify data or results
In particular, examinations and computer projects are individual assignments: anything which you submit for grading must be your own work.
For the computer projects, you are encouraged to discuss the specifications and problem-solving strategies with your instructor, your Teaching Assistant, and other students from the class. However, once you begin implementing your solution in Python, you must work individually. Under no circumstances should you allow another student to view or copy your solution. Note that each project solution is electronically compared to all other solutions to identify similar solutions.
Students who submit similar solutions will receive a penalty grade, such as a score of zero for that assignment or a grade of zero in the course. In all cases of penalty grades an Academic Dishonesty report is filed with the University.
If you show your code to another student, you are almost guaranteed a zero because most novice programmers will not be able to think of another way to do it and end up copying your code or sharing it with someone else who copies it.
Finally, consider the Spartan Honor Code: As a Spartan, I will strive to uphold values of the highest ethical standard. I will practice honesty in my work, foster honesty in my peers, and take pride in knowing that honor is worth more than grades. I will carry these values beyond my time as a student at Michigan State University, continuing the endeavor to build personal integrity in all that I do.
Any extenuating circumstances that impact on your participation in the
course should be discussed with your lecture instructor as soon as those
circumstances are known (such as absences due to illness, religious
observances, or other required school activities).
All students are expected to be responsible users of the computer system provided for this course. Account usage guidelines published by the Department of Computer Science and Engineering are posted under:
Account Usage Guidelines ( https://www.cse.msu.edu/facility/security/msu_policy.php )
Commercialization of lecture notes and course materials is not permitted in this course.